Develop and articulate a clear product strategy for the Catalyze360 AI/ML platform, ensuring prioritized use-cases are alignment with Eli Lilly’s corporate and R&D goals.
Define the roadmap for each use case, prioritizing those with the highest potential impact on drug discovery.
Collaborate with cross-functional stakeholders to ensure the platform’s strategic direction aligns with technical feasibility and market needs.
Define and monitor success metrics that inform platform performance and product impact.
Ensure the strategy incorporates market research, competitive analysis, leadership objectives, and user feedback.
Lead the ideation, technical development, and launch of AI/ML platform products and features, ensuring seamless execution from concept to deployment.
Collaborate with engineering and data science teams to develop clear product specifications, guiding the technical development process with well-defined user stories and requirements.
Oversee the full product lifecycle, managing the product backlog, and ensuring alignment with timelines, resources, and business goals.
Continuously refine the platform based on user feedback, market trends, and emerging technologies, ensuring it remains competitive and relevant.
Assess and demonstrate the impact of AI/ML models on R&D workflows, focusing on model improvement, predictive accuracy, and business outcomes.
Regularly report on key performance indicators (KPIs), showing how the platform’s AI models improve efficiency, accuracy, and decision-making in drug discovery.
Work closely with therapeutic and functional areas (TAs/FAs) to incorporate models into existing workflows, ensuring that they enhance processes and deliver measurable results.
Develop metrics to assess the overall impact of the platform on R&D, including time-to-market improvements and cost reductions.
Collaborate with Tech @Lilly to ensure the platform’s technical stack is scalable, reliable, and performant as it grows to support additional use cases and data requirements.
Ensure the platform can handle increasing data complexity and model sophistication as it scales to support broader use cases across the enterprise.
Collaborate with UX/UI designers and stakeholders to ensure the platform provides a seamless, user-friendly experience for internal teams and external partners.
Coordinate closely with internal teams, including R&D, engineering, data science, and business development, to ensure the product meets user needs and business objectives.
Requirements & Skills:
Bachelor’s or Master’s degree in a relevant field.
6+ years of product management experience in life sciences or AI/ML-focused industries.
Proven track record of managing all aspects of product development and lifecycle management, from ideation to launch and continuous improvement.
Strong analytical skills with a data-driven mindset to evaluate product success and drive decisions.
Excellent communication skills with the ability to work effectively with cross-functional teams in a matrix organization.
Deep understanding of AI/ML technologies and their applications in drug discovery or biopharma.
Familiarity with Agile/Scrum methodologies and product management frameworks.
Technical background, with experience in software development, AI/ML models, or cloud-based platforms.
