Head of AI, Data & Integration

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.
• Strong leadership, communication, and stakeholder management skills across business and technical functions.
• Industry experience in life sciences, pharmaceuticals, or other regulated sectors preferred