As a Senior Manager - Data Science and AI at Pfizer, you will be responsible for owning the critical end-to-end AI for Targeting & Segmentation program for international markets. Your role will involve defining the program strategy, model design, product roadmap, delivery coordination across stakeholders, and ensuring value realization. You will play a key role in leading cross-functional teams to design, deploy, and scale segmentation solutions within governance, privacy, and responsible AI practices. **Role Overview:**
Own the vision, strategy, and roadmap for the AI for Targeting & Segmentation program across international markets. - Define the program operating model, key deliverables, success measures, and cadence for planning and decision-making. - Serve as the primary point of accountability for program outcomes, coordinating across functions and markets. **Key Responsibilities:**
Translate business needs into clear problem statements, requirements, and user stories for Data Science, Analytics Engineering, and Technology teams. - Partner closely with teams to shape solution design, ensure feasibility, and drive progress from pilot to deployment. - Establish and maintain program plans, milestones, dependencies, risks, and provide updates to stakeholders. - Build strong relationships with stakeholders to align on priorities, secure input, and drive adoption. - Define and execute an international adoption and change management approach, including market onboarding and training. - Ensure program alignment with data governance, privacy, security, and responsible AI practices. - Define, monitor, and communicate program success metrics and drive actions to close performance gaps. - Act as the "voice of the user" in agile delivery teams and promote consistent ways of working across markets. **Qualifications Required:**
Bachelor's degree in analytics-related area with 9+ years of relevant work experience. - 4+ years of hands-on Product Management experience. - Demonstrated experience in translating business priorities into clear requirements and roadmaps. - Strong stakeholder management, communication, and program/project management skills. - Experience working with data and analytics ecosystems and collaborating with engineering teams. - Ability to operate effectively in a multi-country, international environment. If you are a proactive self-starter with a growth mindset, analytical thinking, and strong communication skills, and possess the qualifications mentioned above, this role at Pfizer could be the next step in your career. As a Senior Manager - Data Science and AI at Pfizer, you will be responsible for owning the critical end-to-end AI for Targeting & Segmentation program for international markets. Your role will involve defining the program strategy, model design, product roadmap, delivery coordination across stakeholders, and ensuring value realization. You will play a key role in leading cross-functional teams to design, deploy, and scale segmentation solutions within governance, privacy, and responsible AI practices. **Role Overview:**
Own the vision, strategy, and roadmap for the AI for Targeting & Segmentation program across international markets. - Define the program operating model, key deliverables, success measures, and cadence for planning and decision-making. - Serve as the primary point of accountability for program outcomes, coordinating across functions and markets. **Key Responsibilities:**
Translate business needs into clear problem statements, requirements, and user stories for Data Science, Analytics Engineering, and Technology teams. - Partner closely with teams to shape solution design, ensure feasibility, and drive progress from pilot to deployment. - Establish and maintain program plans, milestones, dependencies, risks, and provide updates to stakeholders. - Build strong relationships with stakeholders to align on priorities, secure input, and drive adoption. - Define and execute an international adoption and change management approach, including market onboarding and training. - Ensure program alignment with data governance, privacy, security, and responsible AI practices. - Define, monitor, and communicate program success metrics and drive actions to close performance gaps. - Act as the "voice of the user" in agile delivery teams and promote consistent ways of working across markets. **Qualifications Required:**
Bachelor's degree in analytics-related area with 9+ years of relevant work experience. - 4+ years of hands-on Product Management experience. - Demonstrated experience in translating business priorities into clear requirements and roadmaps. - Strong stakeholder management, communication, and program/project management skills. - Experience working with data and analytics ecosystems and collaborating with engineering teams.
