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
