VP, MDS Digital & Knowledge Management

Role Summary

VP, MDS Digital & Knowledge Management. Lead the digital transformation of Chemistry, Manufacturing, and Controls (CMC) development within GSK R&D by leveraging data, automation, and predictive modelling to accelerate pipeline progression and drive measurable business value. Collaborate across global teams, foster innovation, and build capabilities to keep GSK at the forefront of medicines development. Foster a culture of curiosity, collaboration, agility, quality and continuous improvement.

Responsibilities

• Develop and Lead Digital Strategy: Create and implement a forward-looking digital strategy for CMC development, aligning with organisational goals and driving measurable outcomes.
• Drive Innovation in Data Science and Automation: Lead teams to develop predictive modelling, automation, and AI capabilities that improve cycle times and success probabilities across modalities.
• Establish Governance and Data Stewardship: Implement governance mechanisms to ensure trust in AI-ready data assets and compliance with regulatory standards.
• Collaborate within and outside of the Enterprise: Build partnerships with internal stakeholders to align, assess and prioritise digital investments with business objectives, demonstrating ROI and business value. Collaborate externally to stay ahead of emerging trends.
• Champion Change Management: Foster a data-driven culture by enhancing digital competencies and driving adoption of innovative tools and methodologies.
• Lead Automation and Robotics Strategy: Define and execute strategies (including owning the capital investment strategy) for automation and robotics, harmonising capabilities across CMC functions to deliver high-quality data for predictive technologies.
• Culture of Excellence and Innovation: Inspire and build a team culture of collaboration, curiosity, and continuous improvement, attracting top talent to lead industry advancements in automation, engineering, data science, and modelling capabilities.

Qualifications

• MSc in Life Sciences, Data Science, Engineering, or a related discipline.
• Experience in CMC development, automation engineering, and data science/ predictive modelling.
• Minimum of 5 years of experience in the data/digital field and 15 years in the biopharmaceutical or related industry.
• Expertise in driving technology and digital transformation aligned with business objectives and in matrixed organisations.

Preferred Qualifications

• PhD in Life Sciences, Data Science, Engineering, or a related discipline.
• Demonstrated ability to foster a culture of innovation and continuous improvement.
• Deep knowledge of computational sciences, AI/ML, and high-performance computing applications.
• Strong strategic thinking skills with the ability to anticipate future trends and disruptions.
• Excellent communication and collaboration skills, with experience influencing stakeholders across diverse teams.

Skills

• Digital strategy development
• Data science, predictive modelling, AI/ML
• Automation and robotics strategy
• Governance and data stewardship
• Change management and stakeholder collaboration
• Strategic thinking and ROI evaluation

Education

• Graduate degree required: MSc; PhD preferred

Additional Requirements

• Work Location: United States, United Kingdom, or Belgium with hybrid model (2‚Äì3 days onsite per week).