
Senior AI Product Owner
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in United States, +1 more country.
• Take full ownership of the AI Center of Excellence (CoE) roadmap from start to finish, encompassing intake, evaluation, prioritization, sequencing, and delivery milestones.
• Implement the AI opportunity intake process and make prioritization decisions transparent.
• Maintain an overview of the portfolio, including solution status, costs, and returns.
• Serve as the product owner for AI CoE deliverables, which include agents, enablement assets, internal tools, and shared AI capabilities.
• Present the roadmap, portfolio health, adoption metrics, and business value to executive leadership and program sponsors.
• Define and manage measurement frameworks across various tiers: activity, capability, and business outcomes.
• Oversee delivery partners and vendors in accordance with ownership maps, scopes, milestones, communications, and review processes.
• Ensure a smooth transition from vendor-delivered components to Sphera-owned solutions through internal ownership and shadowing.
• Align the roadmap with corporate OKRs and departmental requirements.
• Manage governance interactions with InfoSec, Legal, and Compliance.
• Facilitate the program's operating rhythm, which includes steering meetings, status updates, risk and dependency management, budget and license forecasting, and decision logs.
• Maintain feedback mechanisms utilizing field signals, usage data, surveys, and input from champions.
• Collaborate with the Senior AI Enablement Lead, AI CoE architects, and Platform Engineering on dependencies and sequencing.
• Relevant qualifications and experience suitable for the role.
• Proven ability to manage an end-to-end AI CoE roadmap.
• Competence in assessing AI opportunities for feasibility, impact, effort, and risk.
• Experience in managing product backlogs, requirements, acceptance criteria, and release sequencing.
• Ability to establish measurement frameworks, including cost-per-outcome and ROI metrics.
• Experience with managing delivery partners and vendors, including scope, Statements of Work (SOWs), milestones, and off-ramp terms.
• Ability to handle governance requirements with InfoSec, Legal, and Compliance departments.
• Proficiency in managing budgets, licenses, risks, dependencies, and decision logs.
• Capability to collaborate effectively with AI enablement, architecture, and platform engineering teams.
• 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.
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