Key skills
AWSAzureAIMLAnalyticsSnowflakeDatabricksPrototyping
About this role
Role Overview
- Lead delivery of high-impact, AI-enabled software systems across the Commercial Analytics domain
- Own technical strategy and architecture, ensuring solutions are scalable, reliable, and business-aligned
- Establish engineering standards for design, development, testing, and AI-assisted delivery
- Drive rapid prototyping and MVP development from concept to production
- Lead adoption of AI-augmented development tools and workflows
- Define governance, evaluation, and human-in-the-loop verification standards for AI-assisted work
- Evaluate and integrate emerging AI/ML technologies into engineering practices
- Lead and mentor a matrixed team of engineering leaders and senior engineers
- Shape talent strategy, including hiring, succession planning, and senior-level development
- Act as a trusted technical advisor to VP/SVP Commercial leaders
- Translate technical trade-offs into business impact and investment decisions
- Define reliability standards (SLOs/SLIs) and champion operational excellence
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business Analytics, or related field
- 12–15+ years of experience
- Proven experience delivering analytics and technology solutions in partnership with Commercial leaders, ideally in life sciences
- Deep knowledge of Life Sciences Commercial Analytics use cases (e.g., forecasting, market research, omnichannel, customer analytics, marketing mix modeling, Next Best Action)
- Experience leading end-to-end MVPs with engineering, data science, and vendor teams
- Background scaling data, analytics, and ML platforms in large organizations
- Strong executive presence and ability to operate as a strategic advisor
- Master’s degree in Computer Engineering, Data Science, or Business is preferred
- Hands-on experience with platforms such as Databricks, Snowflake, AWS, or Azure is preferred
- Experience influencing cross-functional teams without direct authority is preferred
- Prior experience at a top-tier technology or management consulting firm is preferred
Tech Stack
- AWS
- Azure
Benefits
- 401(k) plan with Pfizer Matching Contributions
- Additional Pfizer Retirement Savings Contribution
- Paid vacation
- Holiday and personal days
- Paid caregiver/parental leave
- Paid medical leave
- Health benefits including medical, prescription drug, dental and vision coverage