Key Responsibilities

Enterprise Data & Integration Strategy

- Lead the enterprise data architecture, integration platforms (Boomi, SAP CPI, etc.), and data engineering roadmap.
- Establish data standards, pipelines, and models to support operational, financial, and commercial processes.
- Ensure interoperability across ERP, supply chain, R&D;, manufacturing, and commercial systems.

AI & Analytics Leadership

- Define and drive the AI/ML and GenAI strategy — identifying and delivering high-impact use cases across business functions.
- Build shared, scalable AI capabilities to support knowledge search, process optimization, and intelligent decision support.
- Collaborate with cross-functional stakeholders to embed data and AI into day-to-day workflows.

Data Governance & Quality

- Lead master data management (MDM), data governance, and data quality initiatives to ensure reliable and compliant data assets.
- Implement robust frameworks for data stewardship, access control, auditability, and lifecycle management.
- Align data practices with enterprise compliance standards (e.g., 21 CFR Part 11, GxP, cybersecurity).

Organizational Enablement & Innovation

- Build and mentor a strong internal team covering data engineering, data science, BI/analytics, and integration development.
- Partner with external vendors, innovation hubs,



and platforms to augment capabilities and stay ahead of emerging trends.
- Create a culture of data literacy, continuous learning, and practical experimentation.

Program Execution & Value Delivery

- Deliver cross-functional AI/data programs with clarity, speed, and business impact.
- Establish performance metrics to measure ROI, adoption, data quality, and operational efficiency improvements.
- Ensure successful scaling of AI and data-driven solutions, from proof-of-concept through to enterprise rollout.

Required Experience & Qualifications

- 20+ years in IT or digital transformation roles, with deep experience in enterprise data, integration, and analytics platforms.
- 7+ years of direct leadership over Big Data/AI/ML initiatives and cross-functional delivery teams.
- Experience building and scaling data pipelines, governance models, MDM programs, and integration frameworks in complex enterprises.
- Proven ability to deliver business outcomes using GenAI, ML, and automation.
- Robust leadership, communication, and stakeholder management skills across business and technical functions.
- Industry experience in life sciences, pharmaceuticals, or other regulated sectors preferred

Skills: enterprise data , Integration, Data Governance, Ml, program execution

Experience: 15.00-24.00 Years

📌 Head of AI, Data & Integration (Ahmedabad)
🏢 Amneal Pharmaceuticals
📍 Ahmedabad