Data & AI Program Lead – GxP, R&D, Data, Supply Chain – 100% Remote, UK

MRP-Global; Remote; GBP 70,000 - 90,000; Full time

Job summary

A large global organization is seeking a Data & AI Program Lead to drive the vision and strategy for data analytics and AI initiatives. This role offers a remote working option and is an initial contract lasting 6–12 months with potential extensions. The ideal candidate should have 7–12+ years of experience in data and AI, with a proven record of managing complex programs in regulated settings. Strong knowledge of data architecture, machine learning, and cloud technologies is essential.

Qualifications

• Minimum 7–12 years of experience in data, analytics, AI, or digital transformation roles.
• Proven ability to lead complex data/AI programs in regulated environments.

Responsibilities

• Define and maintain the Data & AI program strategy.
• Build and manage a multi-year roadmap for data platforms and advanced analytics.
• Identify high-value business use cases across various sectors.

Skills

Data architecture

Machine learning

AI technologies

Cloud platforms (AWS, Azure, GCP)

Stakeholder management

Program governance

Job description

A large global organisation are looking for a Data & AI Program Lead who would be responsible for driving the vision, strategy and execution of data, analytics and AI.

This will be an initial 6 - 12 months+ contract with the opportunity for multiple extensions.

The role can be worked 100% remotely from the UK.

Key Skills / Responsibilities :

• Define and maintain the Data & AI program strategy aligned with business and digital transformation objectives.
• Build and manage a multi-year roadmap covering data platforms, advanced analytics, machine learning, and GenAI applications.
• Identify high-value business use cases in areas such as marketing, R&D, medical affairs, quality, manufacturing, and supply chain.
• 7–12+ years of experience in data, analytics, AI, or digital transformation roles.
• Proven track record leading complex data / AI programs in regulated environments.
• Strong understanding of data architecture, ML / AI technologies, and cloud platforms (e.g., AWS, Azure, GCP).
• Experience working with cross-functional teams in commercial, R&D, medical, or supply chain contexts.
• Excellent communication, stakeholder management, and program governance skills.
• Knowledge of Generative AI, LLM integration, prompt engineering, and responsible AI frameworks.
• Familiarity with GxP systems, clinical data standards, PV requirements, and regulatory submissions.