Head Data & AI

Role Overview: As a Senior Leader within the pharmaceutical industry, you will play a crucial role in defining and executing an enterprise-wide data, analytics, and AI strategy aligned with business priorities and digital transformation goals. You will lead the roadmap for Machine Learning, Generative AI, and emerging Agentic AI use cases to ensure measurable value creation. Your responsibilities will also include designing and implementing modern data and AI architectures, establishing robust data governance frameworks, and driving AI model governance and lifecycle management. Additionally, you will oversee the integration of AI and analytics solutions with core enterprise systems and build advanced analytics capabilities while transitioning from static dashboards to real-time, AI-driven insights. Acting as a trusted advisor to senior stakeholders, you will lead and mentor a high-performing data and AI team. Key Responsibilities: - Define and execute enterprise-wide data, analytics, and AI strategy aligned with business priorities - Lead roadmap for Machine Learning, Generative AI, and emerging Agentic AI use cases - Design and implement modern data and AI architectures - Establish robust data governance frameworks covering data quality, privacy, security, and regulatory compliance - Drive AI model governance, ethical AI practices, and lifecycle management - Oversee integration of AI and analytics solutions with core enterprise systems - Build advanced analytics capabilities including predictive, cognitive, and decision intelligence solutions - Lead enterprise reporting and BI transformation to real-time, AI-driven insights - Act as a trusted advisor to senior stakeholders - Build, mentor, and lead a high-performing, multidisciplinary data and AI team Qualifications Required: - 5+ years of overall experience 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 awareness of data privacy and compliance requirements - 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 - Strong stakeholder management skills and ability to influence senior leadership - Excellent communication skills to explain complex technical concepts to non-technical audiences - Strategic mindset with execution rigour and continuous learning orientation Role Overview: As a Senior Leader within the pharmaceutical industry, you will play a crucial role in defining and executing an enterprise-wide data, analytics, and AI strategy aligned with business priorities and digital transformation goals. You will lead the roadmap for Machine Learning, Generative AI, and emerging Agentic AI use cases to ensure measurable value creation. Your responsibilities will also include designing and implementing modern data and AI architectures, establishing robust data governance frameworks, and driving AI model governance and lifecycle management. Additionally, you will oversee the integration of AI and analytics solutions with core enterprise systems and build advanced analytics capabilities while transitioning from static dashboards to real-time, AI-driven insights. Acting as a trusted advisor to senior stakeholders, you will lead and mentor a high-performing data and AI team. Key Responsibilities: - Define and execute enterprise-wide data, analytics, and AI strategy aligned with business priorities - Lead roadmap for Machine Learning, Generative AI, and emerging Agentic AI use cases - Design and implement modern data and AI architectures - Establish robust data governance frameworks covering data quality, privacy, security, and regulatory compliance - Drive AI model governance, ethical AI practices, and lifecycle management - Oversee integration of AI and analytics solutions with core enterprise systems - Build advanced analytics capabilities including predictive, cognitive, and decision intelligence solutions - Lead enterprise reporting and BI transformation to real-time, AI-driven insights - Act as a trusted advisor to senior stakeholders - Build, mentor, and lead a high-performing, multidisciplinary data and AI team Qualifications Required: - 5+ years of overall experience 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 awareness of data privacy and compliance requirements - Ability to translate business problems into scalable data and AI solutions - Familiarity with tools and technologies across SQL, Python, BI pla