Sr. AI Product Owner

1 day Verified open today

In short

Senior AI Product Owner to lead the AI Center of Excellence roadmap, prioritization, and delivery. Own portfolio management, stakeholder communication, governance, and measurement frameworks. Partner with enablement and engineering teams to drive AI initiatives aligned with corporate OKRs and ensure smooth transition from vendor to internal ownership.

Where
Remote Β· United States
Pay
$127k - $203k / year Β· typical
Level
Senior-level Β· Full-time
Skills & tools
Stakeholder Management, Roadmapping, Analytics, Data-driven
Sphera
Sphera
  • Backed by Blackstone

Unifies risk, safety and sustainability data for enterprise operations and supply chains.

1 open role

Sphera is a leading global provider of enterprise software and services that enables companies to manage and optimize their environmental, health, safety and sustainability. Our mission is to create a safer, more sustainable and productive world.

Sphera is a portfolio company of Blackstone, a U.S.-based alternative asset investment company that focuses on private equity, technology and innovation, and more. Blackstone businesses succeed through strong partnerships, a personalized approach and a commitment to exceptional performance with uncompromising integrity. Sphera and Blackstone are leaders in the Environmental, Social and Governance (ESG) space.

We are guided by our core values of Customer Centricity, Accountability, Bias to Action, Innovation, and Collaboration. These values help us recruit the right talent to join our rapidly expanding team around the globe. It is important to us that each and every Spherion is not only eager to challenge themselves and knows how to get work done but is an awesome addition to our company culture.

Key Responsibilities

  • Own the AI CoE roadmap end to end: intake, evaluation, prioritization, sequencing, and delivery milestones across all AI initiatives and pods.
  • Run the AI opportunity intake process β€” capture requests from across the business, assess feasibility, impact, effort, and risk, and make transparent prioritization calls that stakeholders understand even when the answer is no.
  • Own the portfolio view: solution status, cost, and return, tracked consistently across initiatives and refreshed on a predictable cadence.
  • Act as product owner for AI CoE deliverables β€” backlog, requirements, acceptance criteria, release sequencing β€” for agents, enablement assets, internal tooling, and shared AI capabilities.
  • Present roadmap, portfolio health, adoption, and business value to the Executive Leadership Team and program sponsors; quantify cautiously, surface risks early, and bring decisions rather than status.
  • Define and own the measurement framework across activity, capability, and business-outcome tiers, including cost-per-outcome and ROI for delivered solutions, and hold the line against vanity and surveillance metrics.
  • Manage delivery partners and vendors against an explicit ownership map β€” scope and SOW, named points of contact, communications cadence, content-review turnaround, milestone gates, and off-ramp terms.
  • Protect the transition from vendor-delivered to Sphera-owned: ensure every partner-delivered component has a named internal owner shadowing it from the start, so nothing stalls when an engagement ends.
  • Tie the roadmap to corporate OKRs and departmental needs, and work with each function to define what success looks like in their terms.
  • Own the governance interface with InfoSec, Legal, and Compliance β€” acceptable use, risk classification, access model, and audit requirements β€” and keep the governed path the fastest path.
  • Run the program’s operating rhythm: steering meetings, status, risk and dependency management, budget and license forecasting, and the decision log.
  • Maintain the feedback loop from field signal, usage data, surveys, and champion input into roadmap and prioritization changes.
  • Partner with the Senior AI Enablement Lead, who owns curriculum and delivery, and with AI CoE architects and Platform Engineering on technical dependencies and sequencing.

Pay:

$127,000.00 - $203,000.00 + Eligible for Variable Compensation Plan

Commensurate with relevant qualifications and experience

Benefits:

  • 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
Mention Woody when you apply β€” your support keeps us going πŸ’œ

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