Talent.com
Head of AI, Data & Integration

Head of AI, Data & Integration

ConfidentialAhmedabad
30+ days ago
Job description

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
  • Skills Required

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

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