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We are seeking a senior Engineering Leader to lead high‑impact, AI‑enabled software systems across the Commercial Analytics domain. This role combines hands‑on technical leadership, architectural ownership, and executive partnership to deliver reliable, scalable solutions with speed and rigor. This is a forward‑deployed, startup‑CTO–style role, embedded within the Commercial business unit. You will partner directly with business leaders to solve real commercial problems, rapidly prototype solutions, and validate patterns that can be scaled by Platform Engineering. You will drive domain‑level technical strategy, shape engineering culture, and bring clarity to ambiguous problem spaces.
Job Responsibility:
Lead delivery of the most critical Data, Analytics, and AI initiatives across Commercial Analytics
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
Build a culture of engineering excellence, collaboration, and continuous learning
Act as a trusted technical advisor to VP/SVP Commercial leaders
Translate technical trade‑offs into business impact and investment decisions
Influence commercial analytics strategy and long‑term technology roadmaps
Define reliability standards (SLOs/SLIs) and champion operational excellence
Ensure strong observability, monitoring, and production readiness
Lead post‑incident learning and continuous reliability improvements
Establish clear documentation and spec‑driven development standards
Build scalable knowledge‑management practices across teams
Improve delivery flow through lean methods, process simplification, and systematic bottleneck removal
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
Nice to have:
Master’s degree in Computer Engineering, Data Science, or Business
Hands‑on experience with platforms such as Databricks, Snowflake, AWS, or Azure
Experience influencing cross‑functional teams without direct authority
Prior experience at a top‑tier technology or management consulting firm
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact
What we offer:
Participation in Pfizer’s Global Performance Plan with a bonus target of 22.5% of the base salary
Eligibility to participate in our share based long term incentive program
401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Health benefits to include medical, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility