Head Data & AI | Pharma | 15+ Yrs | Mumbai/Ahmedabad

About Our Client

They are undergoing a significant digital and AI-led transformation. The organisation operates in a highly regulated environment and is investing strategically in modern data platforms, advanced analytics, and artificial intelligence to improve decision-making, automation, and business outcomes across functions.

With strong executive sponsorship and a clear mandate from senior leadership, the organisation is moving from traditional reporting models to real-time, predictive, and AI-driven insights. This role sits at the centre of that transformation and plays a critical part in shaping the future operating model.

• Define and execute a comprehensive enterprise-wide data, analytics and AI strategy aligned with business priorities and digital transformation goals.
• Lead the roadmap for Machine Learning, Generative AI and emerging Agentic AI use cases, ensuring measurable value creation.
• Design and implement modern data and AI architectures including data lakes, lakehouses, real-time pipelines and scalable AI platforms.
• Establish robust data governance frameworks covering data quality, privacy, security, and regulatory compliance.
• Drive AI model governance, ethical AI practices, and lifecycle management across ML, GenAI and autonomous agents.
• Oversee integration of AI and analytics solutions with core enterprise systems such as ERP, CRM and other business platforms.
• Build advanced analytics capabilities including predictive, cognitive and decision intelligence solutions.
• Lead enterprise reporting and BI transformation from static dashboards to real-time, AI-driven insights.
• Act as a trusted advisor to senior stakeholders, translating complex data and AI concepts into clear business outcomes.
• Build, mentor and lead a high-performing, multidisciplinary data and AI team.

• 5+ years of overall experience with significant leadership exposure in data, analytics and AI roles within large enterprises.
• Strong background in data strategy, data governance, and modern data architecture.
• Hands-on understanding of analytics, machine learning, and Generative AI ecosystems.
• Experience working in regulated environments with strong awareness of data privacy and compliance requirements.
• Proven ability to translate business problems into scalable data and AI solutions.
• Familiarity with tools and technologies across SQL, Python, BI platforms, and AI/ML frameworks.
• Demonstrated success in building and leading high-performing teams across data engineering, analytics and AI.
• Strong stakeholder management skills with the ability to influence senior leadership.
• Excellent communication skills, particularly in explaining complex technical concepts to non-technical audiences.
• Strategic mindset combined with execution rigour and a continuous learning orientation.

• A senior leadership role with direct reporting to the Chief Digital Officer and high visibility across the organisation.
• Opportunity to shape and own the enterprise AI and data transformation agenda end-to-end.
• Access to significant investment in modern data platforms, AI tools and emerging technologies.
• Ability to work on high-impact, cross-functional use cases rather than isolated pilots.
• Leadership of a skilled, multidisciplinary team with scope to build future capabilities.
• Exposure to board-level discussions and strategic decision-making.
• Long-term career progression in a future-facing role at the intersection of business and technology.
• Competitive compensation aligned with senior leadership responsibilities.