Sr. AI Product Owner

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 — 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 — backlog, requirements, acceptance criteria, release sequencing — 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 — 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 — acceptable use, risk classification, access model, and audit requirements — 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