Senior AI Product Owner

Posted 4hrs ago

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Job Description

Sr. AI Product Owner leading Sphera’s enterprise AI Center of Excellence roadmap. Managing AI portfolio prioritization, governance, vendors, delivery, and business outcomes.

Responsibilities:

  • Own the AI CoE roadmap end to end, including intake, evaluation, prioritization, sequencing, and delivery milestones
  • Run the AI opportunity intake process and make transparent prioritization decisions
  • Maintain the portfolio view covering solution status, cost, and return
  • Act as product owner for AI CoE deliverables, including agents, enablement assets, internal tooling, and shared AI capabilities
  • Present roadmap, portfolio health, adoption, and business value to executive leadership and program sponsors
  • Define and own measurement frameworks across activity, capability, and business-outcome tiers
  • Manage delivery partners and vendors against ownership maps, scopes, milestones, communications, and review processes
  • Ensure transition from vendor-delivered components to Sphera-owned solutions through internal ownership and shadowing
  • Tie the roadmap to corporate OKRs and departmental needs
  • Own governance interfaces with InfoSec, Legal, and Compliance
  • Run the program operating rhythm, including steering meetings, status, risk and dependency management, budget and license forecasting, and decision logs
  • Maintain feedback loops from field signals, usage data, surveys, and champion input
  • Partner with the Senior AI Enablement Lead, AI CoE architects, and Platform Engineering on dependencies and sequencing

Requirements:

  • Relevant qualifications and experience commensurate with the role
  • Ability to own and manage an end-to-end AI CoE roadmap
  • Ability to assess AI opportunities for feasibility, impact, effort, and risk
  • Experience managing product backlogs, requirements, acceptance criteria, and release sequencing
  • Ability to define measurement frameworks, including cost-per-outcome and ROI
  • Experience managing delivery partners and vendors, including scope, SOWs, milestones, and off-ramp terms
  • Ability to manage governance requirements with InfoSec, Legal, and Compliance
  • Ability to manage budgets, licenses, risks, dependencies, and decision logs
  • Ability to collaborate with AI enablement, architecture, and platform engineering teams

Benefits:

  • Eligible for Variable Compensation Plan
  • Medical, Dental, and Vision Insurance
  • Health Savings Account
  • Flexible Spending Account
  • 401(k) Retirement Plan with Company Match
  • Life and Disability Insurance
  • Critical Illness Insurance
  • Accident Insurance
  • Hospital Indemnity Insurance
  • Paid Time Off and Holidays
  • Flexible Working Schedule