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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive leadership in managing multidisciplinary teams across data engineering, AI product management, and application delivery, with a strong focus on GxP compliance and data governance. Proven ability to define and track success metrics while aligning product strategies with enterprise priorities.
Highest-signal resume keywords
Data EngineeringAI/Machine Learning Product ManagementGxP ComplianceStakeholder ManagementBudget Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data GovernanceModel ValidationData QualityAI Product StrategySoftware DeliveryProduction-Grade SolutionsPortfolio-Level MetricsCross-Functional LeadershipApplication Product ManagementForward-Deployed Engineering
Soft Skills
CoachingInfluencingAnalytical SkillsStrategic JudgementTeam Development
Tools & Technologies
AI PlatformsData PlatformsExternal Technology PartnersContractor Management
Certifications & Qualifications
Master's DegreePhDAI/Cloud Platform Certifications
Industry Keywords
PharmaceuticalCMCGxP-Regulated EnvironmentData ScienceBioinformatics
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Provide senior leadership and line management for the CMC Scientific Data & AI Products team
- Set unified direction across forward deployment engineering, data and application product management, and agentic AI product strategy
- Own accountability for team delivery, quality, and value realization
- Set and communicate the integrated strategy and roadmap for CMC's data, application, and agentic AI product portfolio
- Align investment and resourcing decisions with functional and enterprise priorities
- Lead, coach, and develop direct reports and their teams
- Build capability, succession planning, and career pathways
- Act as senior escalation point and decision-maker for cross-functional trade-offs
- Represent CMC's data and AI product capability to senior stakeholders across R&D, Global Supply Chain, Quality, and enterprise leadership
- Own governance, data quality, and GxP compliance posture of products and deployments
- Manage budget, headcount, resourcing, external technology partners, and contractors
- Define and track portfolio-level success metrics and report progress to senior leadership
- Champion responsible and compliant AI, data engineering, and product management practices
Requirements
What you’ll need- Bachelor's degree in computer science, Data Science, Data Engineering, Artificial Intelligence/Machine Learning, Bioinformatics, Engineering, Life Sciences, or a closely related scientific or technical field
- 12+ years of progressive experience across data engineering, AI/ML or agentic product management, and software or application delivery
- Substantial experience leading and developing multidisciplinary teams spanning engineering, product management, and AI product leadership
- Experience delivering production-grade data and AI-enabled solutions, ideally within a pharmaceutical, CMC, or other GxP-regulated environment
- Demonstrated experience managing senior/manager-level direct reports
- Experience leading, hiring and developing managers and their teams across engineering, product management and AI/data science
- Strong understanding of forward-deployed engineering, data and application product management, and agentic AI product strategy
- Excellent stakeholder management and influencing skills
- Strong track record managing budgets, headcount and resources, including external technology partners and contractors
- Working knowledge of data governance, model validation, data quality and responsible AI practice in a regulated GxP environment
- Strong analytical skills and ability to define portfolio-level metrics
- Experience holding senior accountability for production data and AI products, including architecture, delivery and regulatory trade-offs
- Experience evaluating, governing and negotiating with third-party AI and data platforms, vendors and technology partners
- Sound commercial and strategic judgement
- Preferred: Master's degree or PhD in a scientific, data science, AI/ML, or engineering discipline, or relevant senior leadership, product, or AI/cloud platform certifications
Benefits
Comp & perks- Annual bonus
- Eligibility to participate in share based long term incentive program
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave
- Hybrid work model combining remote work with on-site collaboration