Director, AI and Data Product Manager

Director, AI and Data Product Manager 

Job Overview/Summary:  

Join GSK's dynamic team to lead the AI product vision and strategy, driving innovative solutions that align with our R&D goals in patient identification, study design and clinical trial effectiveness. Motivate and guide a cross-functional team to meet milestones while under pressure and ambiguity. Collaborate with experts to develop high-quality simulation modeling and analytical solutions. Shape the future of AI at GSK by establishing clear roadmaps, promoting adoption, and delivering industry-leading products. 

Responsibilities: 

• Lead the identification of new opportunities and development of AI and Data product roadmaps that support GSK's R&D strategies and competitive edge, ensuring delivery of AI and data products that meet our mission and are acknowledged as industry-leading solutions. 

• Foster innovation by systematically exploring, implementing, and evaluating emerging AI technologies. Apply creative problem-solving strategies to address business challenges, while utilizing strategic partnerships and market analysis to inform decision-making. 

• Direct a global team of AI and Data product managers in addressing complex and ambiguous requirements, ensuring significant contributions to GSK's objectives. 

• Recruit and develop AI and data product management talents, set direction/objectives, and manage overall on-time high-quality delivery.  

• Challenge the established procedures and forge cross-functional decision making through system thinking and data-driven principle    

• Matrix leadership to a cross-functional team comprising machine learning developers, forward-deployed engineers, platform engineers, and domain experts, ensuring the achievement of key product milestones. 

• Collaborate with subject matter experts in clinical operation and pipeline project management to achieve scientifically sound and high-quality AI models and agentic solutions. 

• Hands-on rapid prototyping on AI platform to demonstrate values for business use cases.   

• Develop strong relationships with important stakeholders throughout GSK, clearly convey the benefits of AI/ML, and encourage a data-driven decision-making culture. 

• Promote AI adoption and diffusion through creating intuitive user experiences, developing effective training programs, and iterating based on feedback to maximize impact. 

• Continuously benchmark GSK and external AI/ML capabilities, stay ahead of industry trends, identify opportunities for optimization and innovation to drive great impact and ROI. 

Why You? 

Basic Qualifications: