Product Owner, Everyday AI Productivity

Citizens Financial Group•Johnston, RI

1d•Onsite

About The Position

The Product Owner, Everyday AI Productivity will own the portfolio and strategy for AI tools colleagues use to draft, analyze, research, and synthesize work at Citizens. The role covers intake and prioritization, roadmap development, pilots and rollout, governance, delivery, licensing and cost management, metrics, and adoption. The Product Owner will assess requests for colleague value, risk, cost, and feasibility; coordinate decisions with technology and business roadmap owners; and communicate progress and value to leadership. The role requires practical understanding of enterprise AI platforms, including capabilities, connectors, integrations, and constraints. The Product Owner will work with engineering, platform teams, cross-functional subject-matter experts, process owners, and business leaders to move approved capabilities from backlog to production and guide adoption. The position is based in the office four days per week at the Johnston, Rhode Island, or Westwood, Massachusetts locations and is not relocation eligible. In the first year, the successful candidate will operationalize the everyday AI productivity program across Citizens; establish intake, triage, prioritization, license and cost management; grow a practitioner community; create reusable guidance and assets; and develop a roadmap of feature and connector enablement with clear business-value stories.

Requirements

At least 3 years of experience as a Product Owner, Product Manager, or in a similar role owning enterprise technology products, platforms, or programs.
Experience managing backlogs and competing priorities across multiple stakeholders.
Ability to explain technical capabilities to non-technical audiences.
Experience launching or scaling technology in a large, regulated enterprise, including change management and adoption.
Experience working with risk, security, compliance, and other cross-functional teams and navigating review cycles.
Hands-on experience with enterprise AI tools, such as using them in real work, leading a pilot, or driving adoption.
Understanding of enterprise AI tools' capabilities, connectors, integrations, and constraints.
Ability to stay current with rapidly changing tools, experiment with emerging tools, develop internal playbooks, and adapt as vendors change.
Ability to make sound decisions under uncertainty.

Nice To Haves

Financial services experience.
Experience managing software licenses, utilization, or spend.
Experience with community- or champion-based adoption models.
Product ownership certification such as CSPO, PSPO, or SAFe POPM.
Bachelor's degree.

Responsibilities

Own intake for requests involving new AI capabilities, connectors, and use cases; assess colleague value, risk, cost, and feasibility and communicate prioritization decisions.
Co-author the rollout roadmap with technology and business roadmap owners, aligning it with enterprise roadmaps and bank standards.
Track vendor releases, run pilots with defined success criteria, and recommend whether to expand, adjust, or stop them.
Determine what capabilities to enable and in what order based on colleague value, risk, and cost.
Partner with cross-functional subject-matter experts and process owners to move requests through governance and review.
Translate approval conditions into clear colleague guidance and ensure tools are used within those conditions.
Partner with engineering and platform teams to move capabilities from backlog to production.
Define acceptance criteria and coordinate release readiness and production support.
Design and implement a persona-based licensing approach, including allocation, utilization tracking, and cost forecasting.
Develop and manage the budget and partner with operations to put the licensing and cost approach into practice.
Define success metrics and track product health, including adoption, depth of use, feature utilization, and business value, using usage data, support trends, and colleague feedback.
Report product performance to leadership.
Lead the adoption strategy and direct enablement by setting priorities and success measures and guiding training, communications, office hours, and shared assets.
Lead a practitioner community to share learning and help colleagues use the tools.
Communicate how everyday AI productivity is changing work.

Benefits

Competitive pay.
Comprehensive medical coverage.
Dental coverage.
Vision coverage.
Retirement benefits.
Maternity and paternity leave.
Flexible work arrangements.
Education reimbursement.
Wellness programs.
Paid time off that exceeds the mandatory paid sick or paid time-away policy of every local and state jurisdiction in the United States.
Opportunity to earn additional incentive earnings, if applicable.