Head- Business Intelligence & Ai Job in Deepak Nitrite Limited

Job Title: Head - Business Intelligence & AI

Location: Vadodara

Department: IT Services

Employee Type: Permanent

Experience Required: 8 12 Years

Reporting To: Chief Information Officer

Position Overview:

We are looking for an experienced and visionary Head of Business Intelligence & AI to lead our data strategy, build scalable data models, and drive AI and analytics innovation throughout the organization. This senior leadership role blends deep technical expertise in data architecture, AI/ML, ETL, dashboarding, and emerging AI technologies such as Generative AI (GenAI) and Agentic AI with the ability to align data-driven initiatives with business goals.

In this role, you will spearhead data and AI transformation across multiple functions R&D, production, supply chain, sales, marketing, finance, HR, and compliance leveraging analytics, predictive modeling, and advanced AI tools to enable informed decision-making and operational excellence.

Key Responsibilities:

1. Data Strategy & Leadership

• Define and execute enterprise-wide BI and analytics strategies aligned with business objectives and digital transformation goals.
• Develop a comprehensive AI and analytics roadmap to improve operational efficiency and business outcomes.
• Lead design and maintenance of a centralized, secure, and scalable data lake supporting cross-functional BI and AI initiatives.

2. AI & Analytics Enablement

• Identify impactful AI use cases across functions (e.g., predictive maintenance, market demand forecasting, pricing optimization).
• Apply BI and AI techniques to monitor KPIs, optimize processes, and enhance employee training programs.
• Lead advanced analytics, AI/ML initiatives, and scenario planning efforts.

3. Stakeholder Engagement & Communication

• Collaborate with executive leadership, department heads, and IT teams to translate business questions into actionable data insights and dashboards.
• Provide strategic AI and analytics insights to C-suite executives to foster a data-driven culture.

4. Team Leadership & Development

• Lead, mentor, and grow a high-performing AI and analytics team.
• Promote innovation and best practices in data science, AI, and business analytics.

5. AI & GenAI Initiatives

• Lead the adoption and deployment of AI/ML, including large language models (LLMs), Retrieval-Augmented Generation (RAG), and other GenAI technologies.
• Identify new data science opportunities to create business value across the organization.

6. Data Governance & Quality

• Ensure data governance, security, and quality management practices are implemented and maintained to uphold data integrity and compliance.

Education & Experience:

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or related field. PhD is a plus.
• 10+ years of experience in analytics, data architecture, or related leadership roles.
• Strong knowledge of data modeling techniques and modern data architecture.
• Experience with SQL, Python, R, and at least one cloud platform (AWS, GCP, Azure).
• Hands-on experience with modern data warehousing (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, DBT).

Technical Competencies:

• Expertise in analytics tools such as Tableau, Power BI, and integration with enterprise systems.
• Deep understanding of manufacturing processes and best practices.
• Proven track record of implementing scalable enterprise analytics and predictive modeling solutions.
• Proficient with AI/ML techniques, including GenAI, LLMs, and emerging data science technologies.
• Experience managing data lakes, end-to-end data pipelines, and cloud-based data platforms.

Behavioral Competencies:

• Strong leadership and team management skills.
• Excellent communication skills, capable of engaging both technical and non-technical audiences.
• Proactive problem solver with high initiative.
• Ability to manage multiple priorities and work effectively under pressure.
• Strong analytical mindset with the ability to make data-driven decisions.

Note:

The responsibilities and requirements listed above are indicative and may evolve to meet the dynamic needs of the business.