Senior Director Scientific Digital and AI Products

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• Provide senior leadership and line management for the CMC Scientific Data & AI Products team, spanning forward deployment engineering, data and application product management, and agentic AI product strategy, setting a unified direction across the portfolio.
• Own overall accountability for the team's delivery, quality, and value realisation, ensuring the forward-deployed engineering, product management, and AI strategy functions operate cohesively toward shared CMC priorities.
• Set and communicate the integrated strategy and roadmap for CMC's data, application, and agentic AI product portfolio, aligning investment and resourcing decisions across disciplines with functional and enterprise priorities.
• Lead, coach, and develop direct reports and their teams, building capability, succession planning, and career pathways across engineering, product management, and AI product leadership disciplines.
• Act as the senior escalation point and decision-maker for cross-functional trade-offs, resolving competing priorities between deployment, delivery, and strategic AI initiatives.
• Represent CMC's data and AI product capability to senior stakeholders across R&D, Global Supply Chain, Quality, and enterprise leadership, securing sponsorship, resources, and alignment for the portfolio.
• Own the overall governance, data quality, and GxP compliance posture of the team's products and deployments, ensuring consistent standards are applied across all delivery streams.
• Manage the team's budget, headcount, and resourcing, including external technology partners and contractors, allocating capacity across deployment, delivery, and strategic priorities.
• Define and track portfolio-level success metrics, using these to evaluate performance, prioritise investment, and report progress to senior leadership.
• Champion responsible and compliant AI, data engineering, and product management practice across the team, fostering a culture of technical excellence, adoption, and continuous improvement.

We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• Bachelor's degree in computer science, Data Science, Data Engineering, Artificial Intelligence/Machine Learning, Bioinformatics, Engineering, Life Sciences, or a closely related scientific or technical field.
• 12+ years of progressive experience across data engineering, AI/ML or agentic product management, and software or application delivery, including substantial experience leading and developing multidisciplinary teams (spanning engineering, product management, and AI product leadership) that deliver production-grade data and AI-enabled solutions, ideally within a pharmaceutical, CMC, or other GxP-regulated environment, with demonstrated experience managing senior/manager-level direct reports.
• Experience leading, hiring and developing managers and their teams across engineering, product management and AI/data science.
• Strong understanding of forward-deployed engineering, data and application product management, and agentic AI product strategy. You set direction and make sound trade-offs across all three.
• Excellent stakeholder management and influencing skills. You align senior scientific, technical, quality and enterprise leaders.
• Strong track record managing budgets, headcount and resources, including external technology partners and contractors.
• Working knowledge of data governance, model validation, data quality and responsible AI practice in a regulated Good Practice (GxP) environment.
• Strong analytical skills. You define portfolio-level metrics and use evidence to guide priorities and investment.
• Experience holding senior accountability for production data and AI products, including architecture, delivery and regulatory trade-offs.
• Experience evaluating, governing and negotiating with third-party AI and data platforms, vendors and technology partners.
• Sound commercial and strategic judgement. You balance scientific value, technical feasibility, regulatory constraints and business priorities.

If you have the following characteristics, it would be a plus:

• Master's degree or PhD in a scientific, data science, AI/ML, or engineering discipline, or relevant senior leadership, product, or AI/cloud platform certifications
• Proven ability to set and communicate…