Head OF Data Science Jobs in Mumbai

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

Job Title: Lead IT Infrastructure & Security Reports To: Head IT Location: Mumbai Experience: 8 12 Years Education: B.E. / B.Tech. in Information Systems, Computer Science, Information Security, or a related field Role Overview: We are seeking a self-driven and highly skilled IT Infrastructure & Security Lead to manage and secure our IT landscape across all pan-India locations for Matix Fertiliser and Chemicals Ltd. This role involves the implementation, optimization, and security of IT infrastructure, ensuring high system uptime, performance, and protection against modern cybersecurity threats. You will play a key role in aligning IT infrastructure and security strategies with organizational goals, driving best practices, and leading initiatives that reinforce reliability, resilience, and regulatory compliance. Key Responsibilities: IT Infrastructure Management: Ensure the efficient utilization, uptime, and performance of IT systems and infrastructure across the organization. Set measurable KPIs and performance benchmarks; continuously monitor and improve against them. Manage enterprise-wide connectivity, including MPLS, LAN, and WAN infrastructure across all office locations. Oversee design, installation, monitoring, and troubleshooting of enterprise networks and systems. Manage and maintain Active Directory (AD) environments. IT Security Oversight: Administer and monitor cybersecurity tools and platforms including: Microsoft 365 Defender CrowdStrike EDR FortiGate Firewalls Checkpoint Email Protection DLP, IDP/IPS systems, and Routers Collaborate with Head IT on implementing key cybersecurity initiatives in line with the IT roadmap. Conduct risk assessments, manage vulnerabilities, and ensure compliance with internal security standards and external regulations (ISO 27001, SOC2, DPDP, etc.). Lead efforts in business continuity planning (BCP) and disaster recovery (DR) for critical IT systems. Operational & Vendor Management: Handle the procurement and lifecycle management of IT assets (laptops, servers, storage devices, printers, networking products, etc.). Source, contract, and review IT vendors and service providers. Coordinate with ISP and MPLS providers for reliable network connectivity. Manage licensing and deployment of MS Outlook 365 suite and associated tools. Backup & Data Management: Implement and manage centralized and decentralized backup solutions, ensuring data integrity and recovery readiness. Required Skills & Competencies: Technical: Solid knowledge of enterprise IT networks, cybersecurity tools, and infrastructure architecture. Hands-on experience with Windows Server environments, AD, O365, and security operations tools. Experience in security incident management, IT audits, and implementing frameworks like ISO 27001 or SOC2. Certifications (Preferred): CCNA, CEH, CISA, CISSP, CISM Familiarity with the ITIL Framework is an added advantage. Behavioral: Strong leadership and project management skills. Excellent communication and interpersonal abilities to engage with cross-functional teams and external partners. Proven client management skills and ability to work under minimal supervision. High attention to detail and a proactive mindset. Qualification : B.E. / B.Tech. in Information Systems, Computer Science, Information Security, or a related field

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

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.

Manager Digital Transformation Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Position Objective The role of Manager Digital Transformation involves leading and executing multiple strategic projects to drive business transformation. The ideal candidate will ensure projects are delivered on time, within scope and budget, and with high quality. This role requires strong skills in project management, stakeholder engagement, problem-solving, collaboration, and business analysis. Key Responsibilities Collaborate closely with reporting managers to plan and execute digital transformation initiatives across departments. Manage the end-to-end project lifecycle from concept development to execution, implementation, adoption, and transition to IT. Monitor and report project progress regularly to key stakeholders, ensuring transparency and alignment. Partner with business users to support solution testing and drive post-deployment adoption. Evaluate project outcomes against original objectives and facilitate project closure and handover. Identify opportunities for innovation within existing or upcoming solutions to maximize business value. Maintain documentation of project deliverables, learnings, and quality metrics for continuous improvement. Required Qualifications & Skills Minimum: Bachelor's degree in any discipline. Strong verbal and written communication skills with the ability to interact effectively across technical and non-technical teams. Solid understanding of the Software Development Life Cycle (SDLC). Proven ability to manage multiple projects and coordinate with diverse stakeholders. Certifications in project management (e.g., PMP, PRINCE2) or domain-specific certifications are preferred. Qualification : Bachelor's degree in any discipline

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.

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: 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.

Quantitative Researcher Macro Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Job Title: HubSpot CRM Developer Reports To: Technical Lead / Engineering Manager Location: Mumbai Job Description: We are looking for an experienced HubSpot CRM Developer to join our dynamic team. This role is pivotal in leading the design, development, and implementation of HubSpot CRM solutions, including customizations, integrations, and automation workflows. You will work closely with design, management, and clients to architect scalable, maintainable solutions that meet business goals and align with industry best practices. Key Responsibilities: Lead HubSpot CRM Development: Lead the design, development, and implementation of HubSpot CRM solutions, ensuring customization, integration, and automation workflows meet the business needs. Collaborate with cross-functional teams, including design, management, and clients, to gather requirements and develop robust solutions. Customization and Integration: Customize HubSpot modules, templates, and APIs to address specific business requirements. Architect scalable and maintainable solutions for CRM and marketing automation, optimizing HubSpot performance. Optimization and Troubleshooting: Troubleshoot HubSpot-related issues, ensuring optimal performance and resolving any roadblocks that may arise. Stay up-to-date with the latest HubSpot features and updates, proactively identifying opportunities for improvement. Mentorship and Technical Guidance: Provide technical guidance and mentorship to junior developers and team members, fostering a collaborative learning environment. Strategic Contribution: Contribute to the overall technical strategy and roadmap for HubSpot implementation and integration, ensuring alignment with company goals and industry standards. Collaboration and Communication: Work effectively with cross-functional teams, including sales, marketing, and product, to ensure smooth and efficient HubSpot implementation and integration. Communicate effectively with both technical and non-technical stakeholders to translate requirements into actionable solutions. Requirements: Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred. Experience: 3+ years of experience in software engineering, with a focus on CMS/CRM systems and marketing automation platforms (preferably HubSpot). Extensive hands-on experience with HubSpot CMS/CRM, including proficiency in HubSpot APIs, workflows, custom objects, and integrations. Technical Skills: Strong programming skills in languages such as JavaScript, Python, or Java. Experience with front-end technologies such as HTML, CSS, and modern JavaScript frameworks like React or Vue. Solid understanding of relational databases and data modeling concepts. Problem-Solving & Analytical Skills: Strong problem-solving abilities with a keen attention to detail. Ability to troubleshoot issues and optimize HubSpot performance. Communication and Collaboration: Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Ability to articulate complex technical concepts to non-technical stakeholders. Certifications (Preferred): HubSpot Developer Certification or similar certifications are preferred. Growth Opportunities: Enhance your skills by working on cutting-edge CRM solutions and with an innovative team. Collaborative Environment: Work in a cross-functional and dynamic environment, collaborating with talented professionals. Career Advancement: Take on leadership roles and contribute to strategic decision-making in an expanding organization. If you are passionate about building scalable and innovative CRM solutions, have a deep understanding of HubSpot, and enjoy working in a collaborative environment, we would love to hear from you. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.

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

Overview of Technology Roles At BlackRock, technology has always been at the core of what we do. Our technologists are continually shaping the future of the industry through innovative work. We are not only curious but also collaborative, eager to embrace experimentation to solve complex challenges. We foster an environment that promotes working across teams, businesses, regions, and specialties. BlackRock is committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders globally. Job Description About This Role: BlackRock Company Overview: BlackRock is a global leader in investment management, risk management, and advisory services for both institutional and retail clients. Our wide range of products including separate accounts, mutual funds, iShares (exchange-traded funds), and other pooled investment vehicles helps clients achieve their goals and overcome challenges. We also provide risk management, advisory, and enterprise investment system services to institutional investors through BlackRock Solutions . Headquartered in New York City, BlackRock manages approximately $11.5 trillion in assets (as of February 5, 2025) and has around 19,000 employees across 38 countries. Aladdin Data: When BlackRock was founded in 1988, the goal was to combine financial services with cutting-edge technology. Today, BlackRock is a leading FinTech platform for investment management globally. Data is central to our Aladdin platform, which sets us apart through our ability to consume, store, analyze, and extract insights from it. The Aladdin Data team maintains a pioneering data platform that provides high-quality data to a wide range of users including investors, operations staff, data scientists, and engineers. Our goal is to consistently deliver high-quality data while evolving our platform to support BlackRock's growth. We build high-performance data pipelines, enable data discovery and consumption, and continually enhance our data storage capabilities. Studio Self-Service Front-End Engineering: The Studio Self-Service Front-End Engineering team develops full-stack web applications for vendor data self-service, client data configuration, pipelines, and workflows. Our work supports over a thousand internal users and hundreds of clients. We manage a suite of tools, including client-facing data requests, modeling, configuration management, ETL tools, CRUD applications, customized workflows, and backend APIs. Our focus is to deliver exceptional client and user experiences through intuitive tools and an excellent user experience (UX). Job Responsibilities: Design, Build, and Maintain Applications: Develop both front-end and back-end platform components in collaboration with Product and Program Managers. Implement New Functionalities: Build new user interfaces and business functionalities to meet evolving business and customer needs, with clear documentation. Improve Application Performance: Analyze and optimize the performance of applications and workflows to improve efficiency and throughput. Diagnose and Resolve Issues: Research and resolve software defects, ensuring smooth application operations. Ensure Software Stability: Conduct documentation, code reviews, regression, unit, and user acceptance testing for smooth production operations. Lead Application Support: Lead all aspects of level 2 & 3 application support, ensuring smooth operations and addressing new business opportunities. Independent Work: Take initiative and work with minimal direction in a globally distributed team. Role Essentials: Passion for Engineering: Demonstrate a passion for engineering highly available, performant full-stack applications with a "Student of Markets and Technology" attitude. Educational Background: Bachelor s or Master s degree (or equivalent experience) in Computer Science, Engineering, or a related field with 8+ years of relevant experience. Team Experience: 3+ years of professional experience working in teams. VP-level candidates should have experience leading teams delivering critical applications. Technical Skills: Proficiency in Angular, React, JavaScript for user-facing application development. Experience with Java-based REST APIs (e.g., Spring Framework). Familiarity with Protractor, TestCafe, Jest for testing. Knowledge in relational databases and at least one NoSQL database (e.g., Apache Cassandra, MongoDB). Familiarity with software development methodologies (analysis, design, development, testing) and Agile/Scrum practices. Our Benefits: To help you stay energized, engaged, and inspired, we offer a comprehensive range of benefits, including: A strong retirement plan to ensure your financial future. Tuition reimbursement for continuous learning and development. Comprehensive healthcare to keep you and your family covered. Flexible Time Off (FTO) to relax, recharge, and spend time with loved ones. Our Hybrid Work Model: BlackRock s hybrid work model promotes collaboration and apprenticeship, enriching the experience of employees while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the flexibility to work 1 day from home. Some business groups may require more office presence based on role requirements. This model fosters impactful moments when working together in person, which aligns with our commitment to performance and innovation. About BlackRock: At BlackRock, we are united by one mission: to help more people experience financial well-being. Our clients ranging from individuals saving for retirement to businesses and governments investing in infrastructure are benefiting from the investments they make through BlackRock. These investments strengthen the global economy by supporting businesses, financing cities, and facilitating innovation. We believe our success depends on the talent and diversity of our employees. That's why we are committed to creating an enviro...

Role: Principal - Growth Manager (HPE) Function/Department: HPE Experience: 8-12 Years Education: Graduation: B.Tech, BCA, BE, B.Sc Post-Graduation: M.Tech, MCA, MBA, M.Sc Job Purpose: We are looking for a Principal - Growth Manager to lead the end-to-end digital marketing strategy for Debt Management. This role will be responsible for driving revenue growth through data-driven digital campaigns, optimizing the debt recovery process, and ensuring maximum ROI from marketing investments. You will collaborate with multiple stakeholders to design and execute impactful marketing initiatives that align with business goals. Key Responsibilities: Growth Strategy & Digital Optimization: Design and implement growth strategies to enhance the debt management process via digital channels. Lead digital marketing objectives for debt management, working with Agile Campaign Teams to drive lead generation and maximize business outcomes. Optimize cross-channel customer journeys based on analytics, stakeholder inputs, and industry benchmarks. Define audience segmentation strategies to deliver personalized offers, content, and conversations. Revenue & Performance Management: Own revenue targets for debt management and drive measurable business growth. Develop, monitor, and refine campaign performance metrics to ensure continuous optimization. Provide regular performance reports to senior leadership and make data-driven decisions to enhance campaign success. Conduct market research to identify trends and improve digital marketing effectiveness. Leadership & Collaboration: Lead and mentor a team of growth managers to drive campaign execution and achieve targets. Work cross-functionally with internal teams and external partners to develop and execute marketing strategies. Ensure seamless execution of sales lead management and lead lifecycle optimization. Secondary Responsibilities: Strong problem-solving skills with a growth mindset. Ability to understand business targets and translate them into effective marketing strategies. Optimize customer journeys (CRO) on digital and assisted platforms. Utilize bureau data insights for digital marketing strategies. Knowledge of financial products and customer lifecycle management. Comfortable working in Agile environments with an incremental ROI approach. Basic proficiency in Data Analytics & Statistics for marketing insights. Preferred Skills & Tools: Proven track record in scaling business and driving growth through digital campaigns. Hands-on experience with leading MarTech tools such as CleverTap, Salesforce Marketing Cloud, Google Analytics, and automation platforms. Ability to independently lead, communicate, and collaborate with multiple business partners and global teams. Lead high-impact digital growth initiatives in a fast-paced, data-driven environment. Work with cutting-edge MarTech tools and drive innovation in debt management marketing. Collaborate with industry experts and contribute to business growth through digital transformation. If you're a strategic thinker with a passion for digital marketing, revenue growth, and performance optimization, we invite you to apply and be part of our dynamic team! Qualification : Graduation:Bachelor of Technology B.Tech, Bachelor of Computer Applications - BCA, Bachelor of Engineering - BE, Bachelor of Science - B.ScPost-graduation: Master of Technology M.Tech, Master of Computer Applications - MCA, Master of Business Administration - MBA, Master of Science - M.Sc

Description The Wind Resource Assessment Engineer will support a broad range of studies and other consulting services to support power producers to make decisions backed by business and engineering analysis, such as site condition assessments, independent engineering assessments, benchmarking assessments, feasibility studies, unit parameter studies, equipment reliability assessments, and other power generation studies. The engineer should have deep knowledge of Windographer, OpenWind, WindPRO and working knowledge of GIS software. This Engineer will be a lead contributor to the execution of technical studies and work with project managers to lead the technical execution for projects. The engineer will assist the project managers and lead aspects of project execution including Engineering Analysis, Project scheduling, deliverables, and quality management. The engineer will support and lead both on-the-job and classroom training efforts for less experienced team members. Key responsibilities will include: The engineer will be responsible for performing energy production estimates for wind farms using industry standard techniques. This will include processing and cleaning on-site wind data, generating wind flow models, performing site specific energy losses and uncertainty analysis. Understand project constraints to optimize proposed wind farm production or cost of energy production. Support project managers in execution of projects. Lead aspects of project execution including data collection, engineering, financial, and technical analysis; maintain project schedule; develop key project deliverables including analysis, reports, and presentations; support the project manager in quality control of deliverables; analyze and communicate project status, risks, schedule, and costs to project managers; plan, organize, and communicate project personnel needs to project and department management. Other duties as assigned. Qualifications Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Master s degree in the relevant field will be an added advantage. 4 to 5 years of experience associated with Wind data analysis, operations, planning, or consulting. Project experience with Wind generation such as project development and site selection, asset due diligence and acquisition support, independent engineer services, condition assessments, and cost and performance benchmarking, asset management, operations, maintenance, and engineering management. It is expected to be able to develop efficient wind turbine arrays considering site constraints and energy production. Knowledge in standard engineering, construction, and operation techniques, principles, and procedures associated with power generation facilities, specifically wind generation. Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills. Ability to work methodically and analytically in a quantitative problem-solving environment. Demonstrated leadership skills. Ability to independently solve difficult problems that require adaptation and modification of standard techniques, procedures, and criteria. Excellent written and oral communications skills. Demonstrated critical thinking skills. Ability to perform under pressure and tight deadlines and to be effective in on-site work environments. Ability to manage multiple projects concurrently, including identification of critical path items to ensure deliverable deadlines are met. Ability to focus on the big picture to effectively and efficiently provide services that meet client needs, while also having the ability to identify and analyze details that are critical to project outcomes. Willingness to learn new service offerings as client needs and the market requires changes to the service offerings provided by our group. Proficient in Microsoft Office Suite (Word, Excel, PPT). Qualification : Bachelor of Technology in Mechanical/Electrical engineering or related degree from an accredited program. Masters degree in the relevant field will be an added advantage.

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.

At DBS Transformation Group, we nurture the culture of the "World s Best Bank" (Euromoney 2018, 2019, and 2020). Our approach is both a science and an art. We immerse stakeholders in design thinking, encourage experimentation, and drive innovation across our pipeline. We build connections between corporate entrepreneurs and start-ups, focusing on solutions that transform how people live, work, and play. Our team is passionate about making banking joyful while having lots of fun along the way! Role: Transformation Lead The Transformation Lead plays a critical role in driving change and supporting key business projects within the transformation portfolio. This role involves shaping internal communication strategies, promoting transformation initiatives, and implementing innovative solutions such as Generative AI use cases across the organization. Key Responsibilities: Strategize and implement internal communication campaigns to promote a deeper understanding of the bank s transformation initiatives. Unify and elevate messaging across various Transformation Group pillars. Collaborate with internal partners (Group Marketing & Communications, HR, T&O COO communications teams) to ensure communication materials align with transformation objectives. Produce compelling content for internal platforms, such as intranet, knowledge portals, and email bulletins, ensuring optimal reach and engagement. Plan, edit, and write content to communicate organizational initiatives and projects effectively to employees and stakeholders. Drive the development and implementation of the bank s transformation agenda. Lead the implementation of Generative AI use cases for DBIL, ensuring adoption and value creation. Collaborate with Business COOs and function PM leads on the transformation book of work. Provide regular reporting and updates on Transformation Workstreams to senior management. Requirements: Independent self-starter with experience leading multi-disciplinary projects across various stakeholders. Strong storytelling skills both with words and data capable of engaging stakeholders and securing buy-in. Excellent writing, editing, and proofreading skills. Holistic thinker with an inquisitive and creative mind, considering multiple angles and perspectives. Strong interpersonal and stakeholder management skills. Experience working with cross-functional teams and senior executive management. Bachelor s degree or equivalent experience. Apply Now: We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that supports your development and recognizes your achievements. Qualification : Bachelors/University degree or equivalent experience

Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ Position Summary The Senior Statistical Programming Lead is an experienced Statistical Programmer with advanced knowledge of statistical programming methods, languages and data structures and capabilities in leading analysis and reporting activities and programming teams in accordance to departmental processes and procedures. This position is accountable for the planning, oversight and delivery of statistical programming activities supporting one or more clinical projects, compounds and/or submissions generally of low-medium complexity/criticality. The Senior Statistical Programming Lead is responsible for making decisions and recommendations that impact the efficiency, timeliness and quality of deliverables and provide leadership, direction and technical and project specific guidance to programming teams. As an experienced Statistical Programmer this position applies advanced technical and problem-solving skills to complete programming activities of high complexity that may benefit multiple project teams. In addition, the Senior Statistical Programming Lead may contribute advanced knowledge and technical skills to Therapeutic Area or departmental innovation and process improvement projects. Principal Responsibilities As a Programming Lead; Accountable for Statistical Programming team delivery for one or more clinical projects generally of low to medium complexity, scope or criticality. Coordinates and supervises programming team activities and provides technical and project specific mentorship to programming team members to ensure quality and timely statistical programming deliverables in compliance with departmental processes and procedures. Develops detailed programming strategy, specifications and plans the programming deliverables for a one or more clinical projects. May act as a section lead of programming activities supporting a clinical program, compound or submission. Performs comprehensive review of, and provides input into, project requirements and documentation. Collaborates optimally with statistical programming and cross-functional team members and counterparts to achieve project goals. As applicable, coordinates statistical programming activities outsourced to third party vendors adopting appropriate processes and methods to ensure their performance meets the agreed upon scope, timelines, and quality. As an experienced Statistical Programmer; Designs and develops programs in support of sophisticated clinical data analysis and reporting activities. Applies technical and analytical expertise to develop and implement solutions for use on clinical projects leading to increased efficiency and quality. May contribute to or lead others in an area of expertise that results in solutions growing the efficiency and quality of deliverables across multiple projects. May play the role of a Therapeutic/Disease Area Expert contributing to standards strategy and definition and providing expertise for a specific Therapeutic/Disease area across value streams. Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position. May contribute to departmental innovation and process improvement projects. Principal Relationships Reports into people manager position within the functional area. Accountable to the Statistical Programming Portfolio Lead for assigned programming activities and responsibilities. Functional contacts within IDAR include but are not limited to, Statistical Programming Portfolio Lead, Statistical Programmers, peer groups within the function, Data Management, Regulatory Medical Writing. Functional contacts within Janssen (as collaborator or peer) include but are not limited to Clinical Trial Lead, Quantitative Sciences, Biostatisticians, Regulatory, Clinical - Primary interfaces within clinical project (trial), program, and submission teams. External contacts include but are not limited to external partners including CROs. Qualifications Qualifications - External Bachelor's degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth). Approximately 6-8 years programming experience with growing responsibility, preferably in a pharmaceutical/clinical trial environment. Advanced knowledge of relevant statistical programming languages including SAS (required), other relevant programming languages (e.g. R, Python etc. preferred), and data structures. Proven experience planning and coordinating programming activities and leading teams. Proven experience working with cross functional stakeholder and teams. Solid understanding of regulatory guidelines (e.g. ICH-GCP) and relevant clinical R&D concepts. Basic project management skills. Demonstrated written and verbal communication skills. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Qualification : Bachelor's degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth).

Job Description Position: National Key Account Manager JJVC Location: Mumbai, India About Johnson & Johnson: For over 125 years, Johnson & Johnson has been dedicated to improving the health and well-being of people worldwide. With more than 130,000 employees globally, we bring innovation, science, and compassion together to change lives. Johnson & Johnson Vision (JJV) is committed to enhancing vision care, serving over 60 million patients daily across 103 countries with a diverse eye health portfolio, including ACUVUE Brand Contact Lenses, cataract surgery, laser refractive surgery, and consumer eye health. We are proud to foster an inclusive workplace and are an equal opportunity employer. Job Summary: The National Key Account Manager will be responsible for driving sales growth, managing key accounts, and ensuring business objectives are met across multiple channels, including Modern Trade, E-commerce, and Institutional Sales. This role involves strategic leadership, team management, customer engagement, and operational excellence to maximize revenue and market share. Key Responsibilities: Strategic Leadership Develop and execute a unified sales strategy aligned with organizational goals. Drive consistent growth in key accounts, ensuring market share expansion. Team Leadership Lead and mentor a high-performing team, ensuring accountability and achieving set targets. Promote collaboration and continuous development within the team. Customer Relationship Management Build and maintain strong relationships with key accounts to enhance customer satisfaction. Ensure alignment of customer needs with business objectives. Operational Excellence Oversee promotional campaigns, product launches, and inventory management. Monitor channel profitability and implement corrective measures as needed. Market Intelligence & Innovation Stay updated on market trends and competitor activities. Leverage data and technology to drive innovative sales strategies. Key Deliverables: Achieve revenue and profitability targets across all channels. Drive market penetration and increase share across Modern Trade, E-commerce, and Institutional channels. Build and manage a high-performing sales team. Key Skills: Customer Relationship Management Communication and Networking Business Acumen & Leadership Strategic Planning & Critical Thinking Qualifications: Education: Bachelor s degree in Science, Commerce, Engineering (Electronics/Electrical/Instrumentation), or Optometry. An MBA is an added advantage. Experience: 5 7 years of relevant experience in a similar industry, with strong man-management and techno-commercial skills. Additional Responsibilities: Sustainable Team Development: Foster a winning, growth-oriented culture. Collaborate with product managers to organize training and on-the-job development. Ensure compliance with company policies and procedures. Reporting & Coordination: Timely submission of reports (Sales Forecasts, Activity Plans, Monthly Reports, etc.). Coordinate with Sales, Marketing, and support functions to meet business objectives. Data Analysis: Analyze sales data and market trends to provide actionable feedback. Maintain accurate records of sales data and competitor insights. Johnson & Johnson offers a unique opportunity to work with passionate professionals in a supportive environment that empowers you to shape your career. We are an equal opportunity employer and value diversity in our workforce. Qualification : Bachelors degree in Science, Commerce, Engineering (Electronics/Electrical/Instrumentation), or Optometry.