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Hace 4 días
Senior Manager, Data Science and AI Technical Product Owner
Si el reclutador te contacta podrás conocer el sueldo
Esta es una vacante externa, deberás completar el proceso en el sitio de la empresa.
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ROLE SUMMARY
As a Senior Manager, Data Science and AI Technical Product Owner, you will lead the Data Science Industrialization team, setting the vision and championing AI/analytic industrialized asset products for users ranging from analysts and data scientists to marketers, medical experts, and researchers. You will create and own the roadmaps for developing products that generalize point solutions into analytic and AI systems, simplifying insight generation. ROLE RESPONSIBILITIES
Partner with AI and Data Science Industrialization leaders to define team roadmap and drive impact through strategic and technical input, including platform evolution, vendor scans, and capability development.
Communicate the value of industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and collaborate to design scalable industrialized assets.
Work with AIDA Data team to integrate industrialized assets into enterprise-level analytics data products.
Collaborate with AIDA Platforms team on continuous development and end-to-end capability integration between OOB platforms and internal components (API registry, ML library/workflow management, enterprise connectors).
Lead the advancement of at-scale “industrialized” AI and data science capabilities and asset products.
Own vision and maintain a consistent roadmap for industrialized asset products.
Participate in developing product and service roadmaps for Generative AI products; serve as product owner on projects to mature offerings.
Provide the voice of the user as the product owner on agile development teams to maximize value and impact of industrialized asset products.
Drive product adoption through enterprise-wide user community engagement (e.g., roadshows, training sessions, knowledge sharing).
Develop and maintain business-facing documentation/communication for industrialized asset products (e.g., value proposition, catalog, adoption metrics).
Define, monitor, and achieve product success and value metrics.
Coordinate with other product and digital teams to ensure industrialized asset products are integrated into the end-to-end data science, analytics, and AI service delivery ecosystem.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Work Location Assignment: Hybrid
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.
Information & Business Tech
ID: 19595271