Senior Manager, Data Science & Ai (technical Product Owner)

pfizer.co.ke

Unknown
Ai for targeting & segmentation
Cross-functional leadership
Program and product roadmap management
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

Job Summary

  • 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.
  • The role requires owning the end-to-end AI for Targeting & Segmentation program for international markets, including strategy, model design, solution delivery, and value realization.
  • The successful candidate will thrive in a fast-paced, highly collaborative environment and drive industrialization of segmentation capabilities while ensuring alignment with governance, privacy, and responsible AI practices.

Matching Summary

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.

Skills & Requirements

Must-have

  • AI for Targeting & Segmentation
  • cross-functional leadership
  • program and product roadmap management
  • data science and analytics collaboration
  • stakeholder management and communication
  • governance and responsible AI practices

Nice-to-have

  • growth mindset
  • strong communicator
  • relationship management
  • highly collaborative
  • proactive self-starter
  • experience with Dataiku Data Science Studio

Key Requirements

  • Bachelor’s degree in analytics related area
  • 9+ years relevant work experience
  • 4+ years hands-on product management experience
  • experience in multi-country international environment
  • experience translating business priorities into requirements
  • experience with data and analytics ecosystems

Work Rights

Not specified

Tailored Resume

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