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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML product strategy and technology initiatives within the pharmaceutical sector, with a strong focus on opportunity sizing, roadmap development, and stakeholder engagement. Proven ability to lead cross-functional teams and drive impactful AI solutions from concept to execution.
Highest-signal resume keywords
AI/ML Product StrategyPharmaceutical R&D ExperienceBusiness Case DevelopmentDigital Twin ModelingStakeholder Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI TechnologiesMachine LearningData EngineeringOpportunity SizingRoadmap DevelopmentModelingDigital TwinsSelf-Driving LabsPrototypingEvaluation Design
Soft Skills
Influencing Without AuthorityCommunicationProblem FramingCollaborationLeadership
Tools & Technologies
AI ToolsCommand-Line InterfacesData Analytics PlatformsSimulation SoftwareOptimization Tools
Certifications & Qualifications
Bachelor's DegreeMaster's DegreePhD
Industry Keywords
PharmaceuticalLife SciencesGxPRegulatory RequirementsData Governance
About the role
Key responsibilities & impact- Own a domain or capability area within the Enterprise AI opportunity portfolio
- Identify, size, and shape high-value AI opportunities
- Prioritize opportunities by impact, feasibility, and time-to-value
- Quantify value through rigorous business cases
- Co-lead self-driving labs redesign and define the 2033 lab-automation vision and roadmap
- Drive in silico modeling by co-leading the digital twin agenda with an end-to-end platform mindset
- Accelerate molecule onboarding by defining platform fitness and tracking progress toward halving development time
- Maintain the portfolio of in-flight, queued, and de-prioritized opportunities
- Make evidence-backed trade-off recommendations for competing FDE pod priorities
- Partner with FDE and full-stack leads to turn ambiguous problems into problem statements, prototypes, and success metrics
- Shape engagements end-to-end, including scope, success criteria, exit conditions, and scaling paths
- Turn one-off solutions into reusable platform capabilities
- Engage VP-level leaders and build sponsor coalitions securing data access, change commitment, and support
- Communicate impact in terms of patients, science, and enterprise outcomes
- Apply the value-realization framework and conduct post-mortems to improve opportunity selection
Requirements
What you’ll need- Bachelor’s degree or equivalent experience in technology, computer science, product management, or a related field
- 10+ years of experience across pharmaceutical or life sciences, AI/ML product strategy, or senior product management or strategy roles in technology-led organizations
- Experience leading technology or AI initiatives from problem framing through funding and delivery
- Experience in at least one pharmaceutical value-chain area: R&D, clinical, manufacturing, or commercial
- Experience applying AI/ML technologies such as LLMs, agentic systems, knowledge graphs, or data engineering
- Experience building business cases and sizing value for R&D initiatives
- Experience in product management or product strategy, including opportunity sizing, roadmap development, and prototyping
- Experience with modeling, digital twins, self-driving labs, or physical AI initiatives in pharmaceutical R&D or process development
- Experience defining a vision and roadmap for self-driving labs and lab automation
- Experience partnering with data analytics, data science, or process science teams on modeling, optimization, and simulation
- Experience as a senior individual contributor, leading through influence rather than direct reports
- Master's or PhD in technology, computer science, product management, or a related field (preferred)
- Technical fluency in AI/machine learning, data, and evaluation design, with hands-on use of AI tools and command-line interfaces (preferred)
- Experience with GxP, regulatory, and data-governance requirements in a regulated environment (preferred)
- Experience influencing VP-level leaders without direct authority (preferred)
Benefits
Comp & perks- Comprehensive benefits program for US employees
- Hybrid working model with scheduled on-site and remote work