Role Summary

Do you want to make a global impact on patient health Pfizer's 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.

Role Responsibilities

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.

Qualifications

Basic Qualifications

Bachelor's 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.
2–3 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).

Preferred Qualifications

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.

Non-Standard Work Schedule, Travel Or Environment Requirements

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.

Organizational Relationships

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

Purpose

Breakthroughs that change patients lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation!

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer iscommitted to celebratingthis,in all itsforms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

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Information & Business Tech

Sr Manager, AI Solutions Technical Product Owner