Data Science Leader Jobs in Mumbai

Manager - Sales Force Effectiveness (SFE) Location: Mumbai Group Company: RPG Life Sciences About the Role The Sr. Manager - SFE is responsible for driving operational excellence through data-driven insights, automation, and digital tools. This business-critical role ensures real-time KPI analysis, aligns sales activities with corporate goals, and mentors the team to enhance productivity across the organization. Key Responsibilities Strategy, Analytics & Benchmarking Align sales efforts with business objectives, including segmentation, targeting, and call planning. Monitor KPIs to evaluate sales team effectiveness and provide recommendations for improvement. Create MIS reports and dashboards for senior leadership and the PMT to ensure real-time visibility. Prepare IPM audit reports with competitor analysis and ensure EI for all brands exceeds 100% monthly. Provide market reflection summaries and insights on new product introductions. Automation, CRM & Data Quality Manage and optimize CRM platforms to support sales processes and improve productivity. Automate workflows such as call logging, sample tracking, and reporting. Oversee the integration of SFA tools with ERP and BI systems while maintaining data integrity. Train field sales teams on CRM system adoption and lead the optimization of SFA tools. Collaborate with vendors for UI/UX improvements to enhance user experience. Operations & People Leadership Optimize Travel Allowance (TA) and Daily Allowance (DA) submissions to drive a "0-deduction" culture. Provide insights on Continuing Medical Education (CME) expenditures to improve process efficiency. Mentor the SFE team on advanced tools like Excel, Power BI, and Power Query. Work with marketing, IT, and commercial teams to ensure data-driven decision-making. Address operational challenges through hands-on support and team guidance. Skills & Competencies Advanced Analytics: Proficiency in Power BI, Excel (Advanced), and Power Query. SFA Expertise: Mastery of Sales Force Automation platforms and CRM data integration. Leadership: Proven ability to coach teams and drive digital transformation. Analytical Depth: Expertise in KPI tracking, market trend interpretation, and root cause analysis. Qualifications & Experience Education: Bachelor's or Master s degree in Business, Data Analytics, or a related field. Experience: Minimum 15 years in Sales Operations, SFE, or MIS, ideally in pharma or FMCG. Track Record: Proven experience in automation, dashboarding, and team leadership. Success Metrics Timely delivery of accurate dashboards with actionable leadership insights. Measured increase in sales productivity via automation and data visibility. Reduced travel-related expenses and optimized CME processes. Development of a high-performing, continuously learning SFE team. Qualification : Bachelor's or Masters degree in Business, Data Analytics, or a related field

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

Job Title: GTM OOH Analyst Function: Information Technology Location: Mumbai Reports to: ICD IT Director Employment Type: Full-time About the Role This is a critical role in Unilever India s IT function, acting as the Business Partner (BP) to multiple domains Customer Operations, Finance, HR, Factory & Commercial Experience. You will manage local IT operations, champion strategic digital initiatives, and ensure seamless delivery of platforms and projects. You ll bridge business needs and global IT platforms, ensuring value creation, value protection, and operational excellence across functions. Key Responsibilities Demand & Project Management Lead end-to-end project delivery for finance, customer operations, HR, logistics, and manufacturing. Manage and prioritize demand pipelines across business functions. Collaborate with global platform owners to roll out new features and solutions locally. Stakeholder Engagement Build strong relationships with internal teams: Business Finance, HR, Customer Service, Logistics, Warehouse, Factory. Align local IT strategy with business goals. Communicate effectively with both technical and non-technical stakeholders. Platform Performance & Value Protection Ensure robust, secure, and high-performing digital operations. Manage SAP systems with a focus on FI/CO modules and taxation compliance. Identify opportunities to improve operational efficiency through technology. Vendor & Risk Management Liaise with external vendors to ensure SLAs and rate card compliance. Drive vendor selection, contract negotiation, and performance evaluation. Develop mitigation strategies for technology-related risks. Continuous Improvement Identify and implement technology innovations and improvements. Monitor industry trends to recommend future-ready IT solutions. Ensure regular audits, quality checks, and platform optimization. Qualifications & Experience Education: Bachelor's in IT, Computer Science, Business, or related field. MBA is a plus. Experience: 5+ years in an IT project management/business partner role, preferably in FMCG, manufacturing, or logistics-heavy industries. SAP Expertise: Strong understanding of SAP FI/CO, including taxation functionality. Proven experience in managing cross-functional IT projects across diverse teams. Technical Skills Project Management Tools (Jira, MS Project, etc.) SAP FI/CO functional knowledge IT Infrastructure & Digital Platform familiarity Risk Assessment & Mitigation Data Analysis & Reporting Cybersecurity & IT Compliance Soft Skills & Leadership Competencies Strong leadership and stakeholder management Excellent communication (verbal and written) Collaboration across multicultural teams Problem-solving and decision-making Ownership mindset with a passion for performance Agility and adaptability in fast-changing environments Customer-first thinking with empathy Unilever Leadership Behaviors Passion for High Performance Ownership mindset with data-driven decision-making. Personal Mastery High personal standards, resilience, and focus on well-being. Consumer Love Actively seeks to improve end-user and consumer experiences. Purpose & Service Leadership rooted in humility and service to others. Agility Embraces continuous learning and innovation. Qualification : Bachelor's in IT, Computer Science, Business, or related field. MBA is a plus

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Director Design Company: Upstox Department: Design Location:Mumbai About Upstox At Upstox, we're redefining the future of investing making it simple, powerful, and accessible to all. As one of India s fastest-growing fintech platforms, backed by industry leaders like Mr. Ratan Tata and Tiger Global, we re on a mission to democratize wealth creation for every Indian. Whether it s a first-time investor or a seasoned trader, millions rely on us to navigate their financial journey. If you re excited by high-growth environments, real impact, and bold innovation, Upstox is the place to be. The Role: Director Design As the Director of Design, you ll lead a multidisciplinary team of product designers and shape the long-term vision, strategy, and execution of design across Upstox s fintech products. This is a strategic and hands-on leadership role focused on delivering seamless, user-centric experiences that power millions of financial journeys. You'll champion design not as an afterthought, but as an integral part of the product development process. Key Responsibilities Lead and drive end-to-end UX/UI design for critical fintech products across platforms Define and execute a long-term design strategy aligned with product and business goals Build, mentor, and guide a high-performing design team, while remaining hands-on when needed Own and evolve the design system to ensure consistency, scalability, and efficiency Translate user research, market trends, and analytics into impactful design solutions Collaborate cross-functionally with product, engineering, marketing, compliance, and business teams Regularly review design performance using KPIs, user feedback, and usability testing Foster a culture of design excellence, experimentation, and innovation 10+ years of professional design experience, with 3+ years in a leadership or lead designer role Strong portfolio demonstrating end-to-end product design in consumer tech, fintech, or high-growth digital products Proficiency in modern design tools like Figma, Sketch, Adobe XD, with deep understanding of design systems Solid grasp of user-centered design, interaction design, and visual design principles Ability to mentor, influence, and communicate effectively across all levels of the organization Experience in working within agile, fast-paced environments, balancing business goals and user needs Bachelor's degree in Design, HCI, Computer Science, or a related field Awareness of industry-specific compliance, accessibility, and security standards Why This Role is a Game-Changer Shape the financial experiences of millions in India s dynamic fintech ecosystem Collaborate directly with founders, product, engineering, and growth leaders on high-impact initiatives Influence company direction through design-led thinking and execution Build and nurture a world-class design culture in a growing organization Be part of a mission-driven company where design is central to trust, product success, and customer loyalty Qualification : Bachelor's degree in Design, HCI, Computer Science, or a related field

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business, Representing VOC and creating awareness of all your portfolio internally and externally. You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients. Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win. Introduce new solutions and thought leadership pieces to the team Develop and drive continuous though leadership agenda and participate in external forums. Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level. Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration, cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan review, adjust with vertical leaders as well partnering with Regional Qualitative Practice. Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners. Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements. Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business. Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis. Own client-level annual operational (OP) planning inputs with the team at the account/geo level. Create sales reports and provide feedback to SA&I India leader. Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines. Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary. Ensure NIQ GDF / SDF fund usage where applicable. Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes. Voice of client Maintain & develop the commercial relationship to clients. Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader. Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships. Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals. Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders. Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual. Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners. People management Recruit and hire Qual Research staff as the case may be. Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience. Setting their targets and goals and guiding them on how to meet and exceed their KPI. Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team. Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on. Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accounta...

Job Requirements Role/ Job Title: Senior - Growth Manager - HPE Function/ Department: HPE Job Purpose: The role is responsible for development and execution of comprehensive marketing strategies to drive growth and revenue. Work closely with a team of competent marketing professionals and collaborate cross-functionally to optimize campaigns and initiatives. Roles & Responsibilities: Develop and execute innovative growth marketing strategies to achieve business objectives. Lead and mentor a team of growth marketing managers and associates. Analyze market trends, customer behavior, and competitor activities to identify opportunities for growth. Collaborate with product, sales, and other teams to align marketing efforts with overall business goals. Manage and optimize digital marketing channels. Implement A/B testing and other experimentation techniques to optimize campaign performance. Monitor and analyze key performance indicators (KPIs) to track the effectiveness of marketing efforts. Identify areas for improvement and implement initiatives to enhance marketing performance and efficiency. Stay up to date with industry trends and best practices in growth marketing. Secondary Responsibilities: Expert in problem solving skills & Positive attitude. Understand the Business Portfolio target & able to plan marketing strategy & plan execution with stakeholders. Optimized customer journey (CRO) on digital platform / assisted journey. Bureau data understanding & utilize the same in digital marketing. Basic Assets & Credit Card Product Knowledge. Expert in sales lead management / lead lifecycle. Knowledge to handle both existing & new customer marketing strategy. Comfortable to work in Agile team with incremental RoI strategy. Basic knowledge of Data Analytics & Statistics (From marketing perspective). Managerial & Leadership Responsibilities: Target-oriented with proven ability to multitask. Experienced in people management and development, comfortable managing in a matrixed and/or Agile environment. Education Qualification: Graduation: Science / Commerce /B Tech - Computer Science / IT Post-graduation: MBA Experience: 5 to 10 years of relevant experience. Qualification : Science / Commerce /B Tech - Computer Science / IT

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Associate Accounting Specialist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Associate Accounting Specialist, you will provide cost accounting support and reporting while ensuring accurate financial records. You will oversee cost center expenses, budgeting, inventory valuation, and financial analysis to support decision-making for business and functional teams. This role requires strong analytical skills, knowledge of SAP, and expertise in financial reporting. Core Responsibilities Cost Center & Budgeting Review cost center spending and understand cost drivers. Analyze variances vs. budget and prior periods to identify root causes. Facilitate cost center allocations, recharges, recoveries, and residual analysis. Financial Reporting & Analysis Support reporting and analysis for the supply chain function. Assist business teams with financial analysis for decision-making. Ensure SOX compliance for cost accounting activities. Inventory & Cost Accounting Ensure accurate inventory valuation across management, tax, and statutory books. Manage cycle counting and stock reconciliation to maintain accurate inventory records. Oversee product cost estimates (PCE) and investigate costing errors. Identify and correct intercompany variances. Accounting Compliance & Controls Record and monitor accounting entries during monthly closing. Facilitate the inter-company re-billing process. Differentiate between capital and expense costs for accurate reporting. Support internal & external audits for cost accounting activities. Qualifications CMA/CA qualification with 3-5 years of relevant experience in cost accounting. Proficiency in SAP and Microsoft applications (Excel, Word, PowerPoint, Outlook). Skills & Competencies Strong business acumen and ability to act as a strategic business partner. Team player with excellent communication and collaboration skills. Analytical mindset with a focus on process improvement. Proficiency in SAP, Excel, and financial reporting tools. Fluent in English (written and verbal). Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, stock purchase programs, and financial resources. Health & Wellbeing Comprehensive medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation! Qualification : CMA/CA qualification with 3-5 years of relevant experience in cost accounting.

Accounting Specialist About Dow At Dow, we believe in putting people first and are committed to delivering integrity, respect, and safety for our employees, customers, and the planet. We are a diverse and innovative team of relentless problem solvers who work together to transform industries and shape a sustainable future. Our purpose is simple: to deliver a better world through science and collaboration. If you're looking for a challenging and meaningful role, you re in the right place. About the Role As an Accounting Specialist, you will be responsible for managing day-to-day accounting activities (US GAAP/Indian GAAP), month-end and year-end closing, balance sheet reconciliation, and financial reporting. You will ensure accuracy, completeness, and compliance in financial records while supporting audits, tax functions, and process improvements through automation and digital transformation initiatives. Key Responsibilities Financial Accounting & Reporting Manage day-to-day accounting under US GAAP and Indian GAAP (Ind AS). Oversee monthly, quarterly, and annual closing activities. Prepare financial statements as per Indian GAAP, including statutory audit schedules. Conduct monthly balance sheet reconciliation using BlackLine. Perform monthly flux analysis to explain significant fluctuations in financials. Develop quarterly and year-end financial schedules. Ensure internal controls are effective and aligned with corporate policies. Support internal and external audits by providing necessary financial data. Tax & Compliance Support Assist the tax team in preparing various tax reports and tax audit requirements. Ensure financial compliance with local statutory and regulatory requirements. Process Improvements & Automation Identify process inefficiencies and drive productivity improvements. Support automation initiatives (including macros and Robotics Process Automation - RPA). Qualifications & Experience Education B.Com. (Mandatory) Chartered Accountant (CA) / US CPA (Preferred) Experience 6-7 years of experience in financial accounting under US GAAP/Ind AS. 2-3 years of experience in corporate or public accounting. 2-3 years of experience in a Western multinational corporation (MNC). Key Competencies & Skills Strong knowledge of Indian GAAP (Ind AS) and US GAAP. Results-driven with a proactive and analytical mindset. Process-oriented with a keen eye for efficiency and improvements. Strong skills in SAP Finance (ECC FICO module). Proficiency in Microsoft Excel and tax-related financial tools. Excellent communication skills with the ability to collaborate across functions. Fluent in English (written and verbal). Additional Information Relocation assistance is NOT available for this position. Flexible work schedule may be required to align with international time zones. Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Opportunities for training, mentoring, and professional development. Comprehensive Benefits Medical, life insurance, and mental health support. Work-Life Balance Flexible workplace culture for personal and professional productivity. Parental & Family Support Paid leave for new parents and caregivers. Paid Time Off & Volunteering Vacation allowance, community engagement, and Employee Resource Groups (ERGs). Wellbeing & Perks Gym memberships, discounts, and transportation benefits (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science, providing innovative solutions across packaging, infrastructure, automotive, and consumer care. With 1,000+ employees, we are a Great Place to Work Certified company, committed to corporate social responsibility (CSR). We actively support women, children, and differently-abled individuals through technology and volunteerism. Join Our Team & Make an Impact! At Dow, we celebrate diversity, collaboration, and innovation. If you are passionate about finance and accounting and want to contribute to a sustainable future, we encourage you to apply! Apply now and be part of a global team transforming industries through science!

Business Process Specialist Location: Mumbai, India About Dow At Dow, we believe in putting people first and are committed to delivering integrity, respect, and safety for our employees, customers, and the planet. We are a diverse and innovative team of relentless problem solvers who work together to transform industries and shape a sustainable future. Our purpose is simple: to deliver a better world through science and collaboration. If you're looking for a challenging and meaningful role, you re in the right place. About the Role Dow's Integrated Supply Chain & Improve & Scale Digital Solutions Team delivers value by defining, enabling, and supporting processes and system capabilities needed by our businesses. As a Business Process Specialist, you will play a critical role in executing strategies, driving process enhancements, and collaborating with global and regional teams to optimize supply chain operations. You will collect and analyze work process and system requirements, ensuring alignment with design principles and business needs. You will act as a subject matter expert for key supply chain functions, supporting systems like SAP, Microsoft Dynamics, OM Partners, Oracle Transportation Management, and more. Additionally, you will be responsible for compliance, regulatory adherence, training, and continuous process improvement initiatives. This role operates under the functional guidance of Global Business Process Leaders and Experts, collaborating with business process teams across Integrated Supply Chain (ISC) and Information Systems (IS). Key Responsibilities Process & System Optimization Develop in-depth knowledge of work processes, systems, technologies, applications, data, and key metrics. Provide expert-level support on system functionality, process improvement, and issue resolution. Gather, evaluate, and document work process requirements for global initiatives and projects. Ensure process compliance with regulatory and internal standards. Collaboration & Stakeholder Engagement Act as a key liaison between business units, IT teams, and process improvement functions. Support peer organizations and cross-functional teams in corporate initiatives, system testing, data migration, and implementation. Develop and deliver training programs, knowledge transfer sessions, and coaching for support teams. Data & Performance Analysis Analyze process performance metrics to monitor consistency and alignment with business goals. Identify gaps in global capabilities, leveraging best practices and emerging technologies for continuous improvement. Qualifications & Experience Education Bachelor s degree (Required) Engineering or Science preferred. Experience Minimum 3 years of relevant experience in Supply Chain, Customer Service, or Process Improvement. Technical Skills Advanced skills in Microsoft Excel, Power BI, and PowerPoint. Strong experience in handling large data sets from multiple sources. Proficiency in Data Visualization tools & techniques. Preferred Skills Digital mindset with a strong focus on innovation and automation. Critical thinking and problem-solving skills. Project management and system/process improvement expertise. Training delivery experience. Excellent communication skills verbal and written. Additional Information Flexibility to support global operations and alternate time zones (North America, EMEAI, LAA, APAC) is required. Relocation assistance is NOT available for this role. Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Opportunities for training, mentoring, and professional development. Comprehensive Benefits Medical, life insurance, and mental health support. Work-Life Balance Flexible workplace culture for personal and professional productivity. Parental & Family Support Paid leave for new parents and caregivers. Paid Time Off & Volunteering Vacation allowance, community engagement, and Employee Resource Groups (ERGs). Wellbeing & Perks Gym memberships, discounts, and transportation benefits (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science, providing innovative solutions across packaging, infrastructure, automotive, and consumer care. With 1,000+ employees, we are a Great Place to Work Certified company, committed to corporate social responsibility (CSR). We actively support women, children, and differently-abled individuals through technology and volunteerism. Join Our Team & Make an Impact! At Dow, we celebrate diversity, collaboration, and innovation. If you are passionate about business process improvement and digital transformation, we encourage you to apply! Apply now and be part of a global team transforming industries through science! Qualification : Bachelors degree (Required) Engineering or Science preferred.

International Trade Operations Senior Logistics Specialist Location: Mumbai, India About Dow At Dow, we put people first and are passionate about delivering integrity, respect, and safety for our employees, customers, and the planet. We are a diverse and innovative community of problem solvers who work together to transform industries and shape a sustainable future through science and collaboration. If you're looking for a challenging and meaningful role, you re in the right place. About the Role The International Trade Operations Senior Logistics Specialist plays a key role in managing containerized transport logistics for exports and imports to and from North America across all transport modes. This position works closely with Customer Service, Business Supply Chain, and Site Logistics teams to ensure seamless international trade operations. You will analyze and resolve logistics challenges using technical expertise, prescribed policies, and past experience while receiving moderate guidance and direction. Key Responsibilities Logistics & Shipment Management Manage the Leverage Team functional mailbox, monitoring delivery notes and shipment processes. Run daily Z2 Block Reports, addressing errors and coordinating with order owners. Resolve system errors related to shipment creation and auto-new offer by opening tickets with DSS. Update equipment types, ECC Equipment Table, and ECC Loadability Matrix as required. Communicate with Export Logistics Manager and Business Loadability Contact regarding loadability queries. Route & Data Management Handle the FNAROUT functional mailbox and manage route creation via OTM and ECC transportation connection points. Maintain Business Structure reports within ECC. Execute the Logistics Processing Tool process daily, ensuring accurate updates to Freight Forwarders. Qualifications & Experience Education Bachelor s Degree (Required) Preferred in Supply Chain Management, Business, Engineering, or other Sciences. Experience 3-6 years of experience in International Trade Logistics, Supply Chain, or a Manufacturing environment. Technical Skills Proficiency in SAP/ECC (Enterprise Core Component). Strong analytical and problem-solving skills. Advanced computer proficiency, including data analysis tools. Experience in project management and process improvement. Preferred Skills Strong interpersonal and communication skills. Ability to work independently and in a team-oriented environment. Fluency in English (written & verbal); proficiency in additional languages is a plus. Ability to work in U.S. Eastern Standard Time (Midland, MI hours). Additional Notes This role requires an understanding of key business drivers and best practices within the logistics function. You will analyze and resolve problems using technical knowledge, established processes, and sound judgment. Your performance will impact both individual and team success, making it essential to follow guidelines and policies while driving efficiency and innovation. Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Opportunities for training, mentoring, and professional development. Comprehensive Benefits Medical, life insurance, and mental health support. Work-Life Balance Flexible workplace culture for personal and professional productivity. Parental & Family Support Paid leave for new parents and caregivers. Paid Time Off & Volunteering Vacation allowance, community engagement, and Employee Resource Groups (ERGs). Wellbeing & Perks Gym memberships, discounts, and transportation benefits (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science, providing innovative solutions across packaging, infrastructure, automotive, and consumer care. With 1,000+ employees, we are a Great Place to Work Certified company, committed to corporate social responsibility (CSR). We actively support women, children, and differently-abled individuals through technology and volunteerism. Join Our Team & Make an Impact! At Dow, we celebrate diversity, collaboration, and innovation. If you are passionate about international trade logistics and supply chain operations, we encourage you to apply! Apply now and be part of a global team transforming industries through science! Qualification : Bachelors Degree (Required) Preferred in Supply Chain Management, Business, Engineering, or other Sciences.

Description We re a top-ranked engineering and construction firm where employee ownership is more than a phrase, it s the foundation of our culture. Our Mumbai office supports major projects worldwide, and our team members thrive in a setting that encourages learning, leadership, and personal growth. You ll have access to international travel opportunities, advanced technical training, and the chance to collaborate with accomplished specialists on large projects in renewables, refining, petrochemical, midstream, and logistics. With a proven track record of delivering complex solutions, our department is recognized for its maturity and expertise.We also prioritize a flexible work schedule and collectively cultivate a supportive and engaging work environment where every voice matters. Role Summary Assistant Document Controller position responsible for efficient document management, ensuring accurate processing and control of project documentation while maintaining high standards of organization and timely delivery. Key Responsibilities: Process engineering and vendor documents with timely transmittal to clients Perform bulk document uploads to EDMS using spreadsheets Distribute project documents to internal teams per DDM requirements Coordinate with BMUS counterpart and discipline teams on document control queries Generate project-specific reports as required Track and monitor engineering and supplier documents/drawings Handle internal and external document requests Manage vendor documentation processes Compile technical specifications Maintain confidential document security Follow safety protocols and norms Support document control system maintenance Process incoming and outgoing project documentation Update document registers and logs What Makes You a Great Fit Skilled at leadership and communication, with the ability to build strong professional relationships Keen awareness of ethical/code responsibilities; always acts in the company s best interests Self-starter who adapts quickly to evolving circumstances Embraces our employee ownership culture and champions diversity and inclusivity Enthusiasm about our bonus-incentive-based compensation model that rewards top performance designed for those committed to building a long-term career in an employee ownership culture Values a supportive, engaging workplace where every individual s input is encouraged and respected Qualifications Any Graduate Preferably Commerce / Library / Data Science 0-1 year document control experience Proven experience in document management systems Strong technical documentation background Proficient English communication skills Qualification : Any Graduate Preferably Commerce / Library / Data Science

About Seclore Seclore is a leader in data security, addressing complex challenges through innovative, patent-pending technology. Recognized as a "Great Place to Work" in both India and the USA, we foster a culture of innovation, problem-solving, and continuous improvement. Learn more: www.seclore.com Seclore provides advanced solutions for securing and controlling digital assets, ensuring protection against data breaches and regulatory non-compliance. Our technology enforces granular access controls, automates security policies, and adapts dynamically to evolving threats and regulatory requirements. Position: Compliance & Audit Analyst Seclore is seeking a Compliance & Audit Analyst to oversee regulatory compliance, internal policies, and security frameworks. This role involves working closely with the Data Protection Officer (DPO), Virtual Chief Information Security Officer (vCISO), and key stakeholders to maintain adherence to standards such as SOC 2, GDPR, NIST, and ISO 27001/27701. Key Responsibilities Compliance Audits Plan, conduct, and document internal audits for GDPR, ISO 27001, SOX, and internal security policies. Assist in external audits for ISO 27001, NIST, and SOC 2 certifications. Identify compliance gaps, document findings, and manage remediation efforts. Policy & Framework Implementation Develop, update, and enforce compliance policies, procedures, and standards in alignment with evolving regulatory requirements. Support the implementation of security frameworks, including ISO 27001/27701 and NIST. Collaboration with DPO & vCISO Assist the DPO in meeting data protection and privacy requirements, including conducting Data Protection Impact Assessments (DPIAs). Work with the vCISO to align compliance initiatives with overall security objectives. Risk Management Identify, assess, and mitigate compliance and privacy risks. Maintain a risk register, track remediation efforts, and report risk status to stakeholders. Qualifications & Requirements Bachelor s degree in Information Security, Computer Science, Business Administration, or a related field. Minimum of 5 years of experience in compliance, audit, or a related role. Strong knowledge of SOC 2, GDPR, NIST, ISO 27001/27701, and SOX regulations. Experience conducting audits, risk assessments, and policy implementation. Excellent analytical, problem-solving, and communication skills. Preferred certifications: CISA, CISM, CISSP, ISO 27001 Lead Auditor. Engage in cutting-edge security technology. Collaborate with leading global enterprises. Contribute to innovative security solutions. Work in an entrepreneurial-driven culture. Qualification : Have a Bachelor's degree in Information Security, Computer Science, Business Administration, or a related field.