Senior AI Product Owner

Sphera

. Own the AI CoE roadmap end to end, including intake, evaluation, prioritization, sequencing, and delivery milestones .

Posted 11/7/2026full-timeRemote • United States, IndiaSenior💰 $127,000 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing an end-to-end AI Center of Excellence (CoE) roadmap, including governance with InfoSec, Legal, and Compliance. Proficient in defining measurement frameworks and collaborating with cross-functional teams to ensure alignment with corporate objectives and successful delivery of AI solutions.

Highest-signal resume keywords

AI CoE Roadmap ManagementMeasurement Framework DefinitionVendor ManagementGovernance ManagementCollaboration with Engineering Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Opportunity AssessmentProduct Backlog ManagementRequirements DefinitionAcceptance Criteria DevelopmentRelease SequencingBudget ManagementRisk ManagementDependency ManagementDecision Log MaintenanceCost-Per-Outcome Analysis

Soft Skills

Stakeholder CommunicationPrioritization Decision-MakingFeedback Loop Management

Industry Keywords

Governance InterfacesSOW ManagementPortfolio ManagementCorporate OKRsInternal Tooling

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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