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AI / ML Product Owner

AI / ML Product Owner

Zenith servicesPhoenix, AZ, Arizona, US
19 days ago
Job type
  • Full-time
Job description

Key Responsibilities :

Product Strategy and Roadmap

  • Define the long-term product vision and roadmap for data driven and AI / ML driven products that enables personalization at scale.
  • Champion customer centricity through data and insights, identifying high-impact use cases that improve relevancy, engagement and satisfaction

AI / ML integration and Data insights

  • Collaborate with Data Science and Engineering teams to build, deploy, and monitor ML Models for personalization, segmentation, predictive experiences
  • Translate data signals and model outputs into actionable, personalized product features across Planning, booking, marketing, servicing and lifestyle use cases
  • Partner with Data science team to define model requirements and interpret model outcomes
  • Collaborate with Privacy, Compliance, Legal, Model Governance teams to ensure compliance, Risk mitigation, Model approvals.
  • Enable data pipelines, experimentation frameworks, and real time personalization engines in collaboration with engineering

    • Stakeholder Influence and Adoption

  • Act as a strategic partner to stakeholders across business units, advocating the use of data and AI Powered tools
  • Partner with Marketing, Online, Servicing and Personalization, Analytics, Risk, Customer support, Big Data, Data Governance, Data science, Engineering stakeholders to drive adoption of AI powered solutions
  • Translate complex data and AI concepts into clear business value for non-technical audiences

    • PI Planning

  • Actively participate in Agile PI Planning sessions- prioritizing features, identifying dependencies, and ensuring team capacity is aligned with delivery expectations
  • Manage cross-functional collaboration across organization ( data, engineering, compliance, experience design, data science etc)

    • Requirements, Delivery & Measurement

  • Lead Product Delivery and requirements definition using user insights, market research, and data signals
  • Lead end-to-end product lifecycle management : discovery, definition, prototyping, testing, development and rollout
  • Define success metrics and KPIs tied to personalization effectiveness, customer outcomes and Business impact
  • Continuously improve the product based on data, customer behavior and market trends and model performance
  • Gather, document, and validate detailed product requirements Functional and non-functional requirements)
  • Monitor Product health Metrics post launch, product performance, API performance, SLA etc
  • Collaborate with Data science, engineering and UX teams to build scalable product supported by scalable design and architecture

    • Customer centric mindset

  • Conduct customer research to understand needs, friction points, and personalization preferences
  • Use segmentation, journey mapping, and behavior data to drive actionable product decisions

    • Platform and Architecture alignment

  • Partner with engineering and enterprise architecture teams to define scalable and privacy compliant architecture ensuing solution design support real time integration with servicing platforms like web, mobile, voice, concierge etc
  • Drive alignment on API contracts, data integration patterns to support modular and extensible capabilities
  • Maintain awareness of tech debt, system ,limitations and infrastructure constraints during product prioritization and roadmap planning
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    Product Owner • Phoenix, AZ, Arizona, US