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

MRP-Global; Remote; GBP 70,000 - 100,000; Full time

Job summary

A large global organisation is seeking a Data & AI Program Lead to drive the strategy and execution of data, analytics, and AI initiatives. The role requires 7–12+ years of experience in related fields and involves defining a multi-year roadmap for data platforms and advanced analytics. This position offers a fully remote working environment in the UK and presents multiple opportunities for contract extensions.

Qualifications

• 7–12+ years of experience in data, analytics, AI, or digital transformation.
• Proven track record leading complex data/AI programs.
• Strong understanding of ML/AI technologies and cloud platforms.

Responsibilities

• Drive the vision, strategy, and execution of data and AI.
• Define and maintain the Data & AI program strategy.
• Build and manage a multi-year roadmap for data platforms.

Skills

Data architecture understanding

Machine learning technologies expertise

Cloud platforms knowledge (AWS, Azure, GCP)

Stakeholder management skills

Program governance capability

Excellent communication

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.