Sr Manager, AI Solutions Technical Product Owner

Do you want to make a global impact on patient health Pfizers International Commercial division is transforming how we bring our medicines to patients across international markets. Within Business Transformation & Technology our Data Engineering and AI organization builds and scales AI-powered products for internal commercial clients solutions that sharpen decision-making accelerate execution and free our teams to focus on what matters most: ensuring patients receive the medicines they need.

As a Senior Manager AI Solutions Technical Product Owner you will own the roadmap and delivery of AI products and emerging initiatives across our International portfolio. You will operate as the connective layer between engineering teams and business stakeholders fluent at both altitudes translating business priorities into clear technical direction and technical constraints into business language. You will navigate the full digital solution stack with confidence: data products AI data products generative and agentic AI solutions and full-stack applications understanding what it takes to advance each from POC to enterprise-grade system.

• Own the vision and roadmap for assigned AI products maintaining a holistic and consistent roadmap across the product lifecycle from discovery through production and adoption.

• Ensure delivery: drive execution with agile product teams hold the line on scope and priorities push back where needed and remove ambiguity between business intent and technical implementation.

• Translate business requirements into well-structured backlogs user stories and acceptance criteria for the technical team and translate technical constraints trade-offs and progress back to business stakeholders.

• Operate fluently across the digital solution stack distinguishing data products AI data products generative/agentic AI solutions and full-stack applications and guide teams and stakeholders on the right solution type for the problem.

• Understand and manage the implications of building for the enterprise: what separates a POC or MVP from a production-grade system in terms of architecture compliance security scalability and support model.

• Coordinate user acceptance testing (UAT) release and production handover activities for digital products.

• Manage delivery through external vendor and contractor teams alongside internal engineering resources.

• Serve as the voice of the user on agile product development teams to maximize the value and impact of AI products.

• Prototype hands-on where it accelerates the team: use modern AI tools to produce POCs mockups or preliminary wireframes to convey product intent when a designer is not available.

• Drive adoption through user community engagement (e.g. roadshows training sessions knowledge sharing) and develop and maintain business-facing product documentation (value proposition catalog adoption metrics).

• Define monitor and achieve product success and value metrics.

• Coordinate with other product platform and data teams to ensure products fully integrate into the broader International Commercial analytics and AI ecosystem.

• Bachelors degree in a relevant discipline (Computer Science Data Science Engineering Information Systems Business or a related field) and 7 years of relevant experience in data analytics engineering digital delivery or product management.

• 23 years of hands-on product ownership or product management experience for digital data or AI products.

• Hands-on experience working in agile teams processes and practices.

• Proficiency with agile delivery tooling (e.g. Jira Confluence) including backlog management sprint ceremonies and delivery documentation.

• Experience translating business requirements into structured backlogs user stories and acceptance criteria and communicating in both directions between business and technical audiences.

• Experience coordinating UAT release and production handover for digital products.

• Experience managing delivery through external vendor or contractor teams.

• Demonstrated strength in delivery: track record of owning roadmaps managing competing priorities and shipping products through cross-functional teams.

• Solid understanding of the digital product development lifecycle including the distinction between POC/MVP and enterprise-grade systems and its implications.

• Working fluency with modern AI tools sufficient to independently build POCs mockups or preliminary wireframes.

• Experience with Snowflake or comparable modern cloud data platforms.

• Experience managing cross-functional stakeholder groups and effecting change; ability to influence without direct authority.

• Strong English communication skills (written and verbal).

• Advanced degree in a relevant discipline.

• Certification in agile or project management methodologies (e.g. Certified Scrum Product Owner PMP PRINCE2).

• Technical or engineering background (software development data engineering or data science experience).

• Experience with generative and agentic AI solutions and platforms.

• Pharma & Life Science commercial functional knowledge.

• Pharma & Life Science commercial data literacy.

• Deep domain expertise in an area of commercial or demonstrated ability to translate expertise from another domain into the commercial space.

• Flexibility in working hours is required to collaborate with international stakeholders across regions (e.g. Latin America Europe Asia including markets such as Mexico Brazil Korea and Japan). Occasional travel may be expected.

• Chief Marketing Office (CMO)

• Global Commercial Analytics (GCA)

• International Insights & Strategy (IIS)

• Digital / AI Center of Excellence (AI CoE)

• Chief Information Security Office (CISO) / Information Security

• Pfizer Digital teams (Creation Centers platform teams)

• International Commercial market teams

• External vendor and contractor delivery partners

This description indicates the general nature and level of work expected. It is not designed to cover or contain a comprehensive listing of activities or responsibilities required of the incumbent. The incumbent may be asked to perform other duties as required.

Please apply by sending your CV in English.

Work Location Assignment:Hybrid

To learn more about acceptable and prohibited uses of AI during the recruitment process please review our candidate AI-use guidelines available onPfizer Careers.