Director, AI and Data Product Manager

Role 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.

Qualifications

• Required: Bachelor's degree in computer science, bioinformatics, applied math, statistics or engineering
• Required: 10+ years product management experience in full AI and Data product lifecycle, including incorporating customer feedback into product requirements, prioritizing features, and overseeing both pre- and post-launch activities.
• Required: 5+ years' experience in one or more life science R&D domain areas: pre-clinical research, clinical trial design and operation, precision medicine, regulatory science, chemistry, and manufacturing and controls (CMC).
• Required: 10+ years' experience in people leadership with track record transforming team into upper quartile talent benchmarking against peer companies.
• Required: Experience of AI/ML model metrics (e.g., F1 and AI-contents evaluation metrics) including human-in-the-loop (HITL) AI/ML monitoring.
• Required: Proficiency in AI-based tools in market research, product requirements, product prototyping, and user research to enhance efficiency.
• Required: Strong written and verbal communication skills in technical presentations and team objective and product milestone reporting
• Required: Assess AI model performance metrics and propose implementation strategies to enhance model accuracy and effectiveness.
• Required: Experience in Agile tool kits such as JIRA or Azure DevOps
• Required: Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, procurement, etc.), and guide the team through key milestones
• Required: Hands-on experience in databricks, n8n, LLM, Azure AI stack, GCP AI stack, or equivalent.
• Preferred: Advanced degree in design systems and/or MBA
• Preferred: Experience software engineering principles around testing, code reviews, and deployment.
• Preferred: Enthusiastic and resilient in a constantly evolving environment where the process is fluid, and creative solutions are key.
• Preferred: Experience working in fast-paced start-up companies balancing multiple priorities and marketing campaign for demand generation