Senior Manager, Data Science & AI (Technical Product Owner)

The International Data Science & AI organization is committed to transforming data into actionable intelligence and scalable AI capabilities that enable markets to drive better decisions improved customer engagement and measurable business outcomes.

We are seeking a Sr Manager Data Science and AI to own the critical endtoend AI for Targeting & Segmentation program for international markets including program strategy model design solution product roadmap delivery coordination across stakeholders and value realization. This is a senior team lead role with significant influence requiring strong crossfunctional leadership across Data Science Analytics BT ICO Digital and country teams to design deploy and scale segmentation solutions.

The successful candidate will thrive in a fastpaced highly collaborative environment translate business needs into clear product/program requirements and drive industrialization of segmentation capabilities from pilots through scalable deploymentswhile operating within governance privacy and responsible AI practices.

ROLE RESPONSIBILITIES

AI for Segmentation Program Ownership (International)

• Own the vision strategy and roadmap for the AI for Targeting & Segmentation program across international markets ensuring alignment to commercial priorities and market needs.

• Define the program operating model key deliverables success measures and cadence for planning prioritization and decisionmaking across regions and markets.

• Serve as the primary point of accountability for program outcomes coordinating across functions and markets to deliver highquality solutions on time and with measurable impact.

Roadmap Translation Requirements and Delivery Coordination

• Translate business needs into clear problem statements requirements and user stories for Data Science Analytics Engineering and Technology teams including data needs model requirements workflows and integration expectations.

• Partner closely with Data Science and engineering teams to shape solution design ensure feasibility and drive progress from pilot deployment scaling while maintaining quality usability and robustness.

• Establish and maintain program plans (milestones dependencies risks and mitigations) and provide transparent updates to stakeholders across geographies and time zones.

CrossFunctional & Market Partnership (Influence Without Authority)

• Build strong relationships with international and local stakeholders (Commercial Marketing Digital Field/Operations Tech/IT) to align on priorities secure input and drive adoption.

• Facilitate workshops and working sessions to align on segmentation objectives market readiness change impacts and enablement needs ensuring consistent engagement and shared ownership.

• Coordinate with centralized and regional teams to identify reusable patterns and accelerate crossmarket scaling while respecting local context constraints and regulatory requirements.

Adoption Change Management and Enablement

• Define and execute an international adoption and change management approach including market onboarding training communications and how to use guidance for segmentation outputs and workflows.

• Create and maintain program documentation and businessfacing assets (e.g. value proposition playbooks FAQs release notes training materials and adoption metrics).

• Incorporate feedback loops (user feedback performance monitoring market learnings) to continuously improve segmentation models outputs and endtoend user experience.

Governance Data Privacy and Responsible AI

• Ensure program alignment with data governance privacy security and responsible AI practices coordinating required reviews and documentation with the appropriate governance bodies.

• Partner with Technology/IT and data teams to ensure appropriate controls for data access model monitoring auditability and lifecycle management.

Value Realization KPIs and Performance Management

• Define monitor and communicate program success metrics (e.g. adoption business value segmentation performance operational efficiency) and drive actions to close performance gaps.

• Quantify and communicate value delivered through AI for Segmentation to senior stakeholders connecting program outcomes to measurable market impact.

Ways of Working / Agile Delivery

• Act as voice of the user for international markets in agile delivery teams helping prioritize work to maximize value and ensure usability and scalability of deliverables.

• Promote consistent ways of working across markets (templates standards release cadence and minimal viable onboarding kits) to accelerate delivery and reduce rework.

BASIC QUALIFICATIONS

• Bachelors degree in analytics related area (Data Science Computer Engineering Computer Science Statistics Economics Mathematics Operations Research Information Systems Engineering or a related discipline)

• 9 years of relevant work experience delivering Analytics Data Science AI/ML or Digital/Data products in a business environment with demonstrated end-to-end ownership from problem framing to outcomes

• 4 years of hands-on Product Management experience

• Demonstrated experience translating business priorities into clear requirements and roadmaps and leading delivery across cross-functional stakeholders (including influence without direct authority)

• Strong stakeholder management and communication skills: ability to distill complex analytical concepts into clear decision-oriented insights for technical and non-technical audiences

• Strong program/project management skills: ability to define scope/deliverables manage dependencies monitor progress and drive implementation and adoption.

• Experience working with data and analytics ecosystems (e.g. data platforms BI analytics engineering) and collaborating with engineering teams to operationalize solutions.

• Ability to operate effectively in a multicountry international environment partnering across regions and time zones.

PREFERRED QUALIFICATIONS

• Advanced degree in Data Science Computer Engineering Computer Science Information Systems or related discipline

• Experience in segmentation (customer/HCP account or analogous segmentation) targeting portfolio planning or decision support including measurement of impact and adoption.

• Experience in product ownership and/or agile delivery practices for analytics/AI solutions including backlog management and value-based prioritization.

• Experience in developing Machine Learning based products preferably with Large Language Models and GenAI solutions

• Experience in developing and operating analytic workflows and model pipelines that are parametrized automated and reusable

• Experience developing and deploying data and analytic products for use by technical and non-technical audiences

• Pharma & Life Science commercial functional knowledge

• Pharma & Life Science commercial data literacy

• Experience with Dataiku Data Science Studio

PROFESSIONAL CHARACTERISTICS

• Growth Mindset: Actively seeks improvement evaluates the impact of insights and helps partners anticipate strategic changes.

• Analytical Thinker: Synthesizes information across data sources into clear insights and recommendations; connects analytics to business drivers and value.

• Strong Communicator: Translates technical outputs into actionable commentary that enables effective decisions; adapts style to audience.

• Relationship Manager / Influencer: Builds durable partnerships across levels and functions; positively influences without formal authority.

• Highly Collaborative: Shares responsibility and credit; works effectively across teams; supports others through knowledge sharing and teamwork.

• Strong Program Manager: Defines scope success criteria and action plans; sequences work appropriately; monitors outcomes and drives adoption.

• Proactive SelfStarter: Comfortable with ambiguity; prioritizes competing demands; stays current on analytics/AI trends and applies them pragmatically.

NON-STANDARD WORK SCHEDULE TRAVEL OR ENVIRONMENT REQUIREMENTS

Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America Europe Asia)

ORGANIZATIONAL RELATIONSHIPS

• Other AI and Data Science COE Teams

• Other AIDA teams (Domain Delivery Platforms and Support)

• Global Commercial Analytics

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.