Technical Product Manager - Customer Care - AI/ML (Ref: 196217)

Forsyth Barnes
Phoenix, AZ

About the job

🚀 Technical Product Manager, Customer Data | AI & ML

📍 Location: Phoenix, Arizona (Hybrid) (Open to remote for the right candidate)

💼 Contract: Long-term contract, 9 month – opportunity to extend

Contact: charley.may@forsythbarnes.com


Our client is a premier, data-driven retailer focused on delivering personalized experiences at scale. We partner with organizations across the retail ecosystem to leverage data platforms and ai/ml capabilities that enhance customer journeys, privacy, and governance.


Our client are seeking a strategic Technical Product Manager will oversee two vital domains: a data science pod enabling ai/ml-powered customer personalization and a customer data platform squad handling enterprise client data, identity resolution, and privacy governance. this role requires close collaboration with engineering and data science to deliver scalable, customer-facing solutions aligned with business strategy.


Key Responsibilities:

  • Steer the development of product capabilities around customer data, ai/ml initiatives, and governance within marketing technology.
  • Direct reporting to the Senior Manager of Marketing Technologies; cross-functional collaboration with personalization, customer care, marketplaces, data science, engineering, and privacy teams.
  • articulate product vision, craft roadmaps, and implement prioritization frameworks; scale the product team as needed.
  • Demonstrate progress via demos and executive briefings to ensure alignment with business objectives


Requirements:

  • 7+ years’ experience with proven technical product management experience with data platforms and AI/ML literacy.
  • Strong understanding of governance and data privacy best practices; adept at stakeholder management.
  • Ability to establish vision, roadmaps, and measurable outcomes; collaborative cross-functional mindset.
  • Experience working within Cloud Platforms or similar tools (e.g. GCP, AWS, Snowflake, Data Bricks and etc.).

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