AI Product Manager, IT

Position Responsibilities:

Portfolio Ownership & Delivery:

• Own the product vision, roadmap, and delivery outcomes for a portfolio of AI platforms spanning multiple Aprio business lines.
• Serve as the individual-contributor product owner for select projects, directly managing product backlogs from discovery through release.
• Translate business needs into clear epics, features, user stories, acceptance criteria, and release plans; maintain backlog quality, sequencing, and readiness for development.
• Lead backlog refinement and sprint planning for assigned projects, make day-to-day scope and priority decisions, partner closely with engineering and quality assurance, and accept completed work against defined requirements.
• Set the delivery standards the team works to, covering intake, scoping, sprint cadence, QA gates, and release readiness, and hold concurrent workstreams to them.
• Make and defend prioritization tradeoffs across the portfolio, balancing near-term practice demand against long-term platform scalability and maintainability.
• Manage onshore and offshore development partners on scope, capacity, quality, and escalation, holding vendors to committed outcomes.
• Own budget input, consumption and licensing forecasts, and the business case for new platform investment.

People Leadership & Development:

• Lead, coach, and develop a team of AI product owners and associates, including onboarding, goal setting, and day-to-day unblocking.
• Hold a consistent 1:1 cadence, set clear performance expectations, give candid feedback in the moment, and run mid-year and annual performance reviews.
• Build individual development plans that grow real product craft: discovery, written communication, prioritization, stakeholder influence, and AI fluency.
• Create and protect the team's operating rhythm, including backlog reviews, demos, retrospectives, and shared documentation standards.
• Partner with talent acquisition to define roles, screen candidates, and run structured interviews as the team grows.
• Build bench strength and succession coverage for every critical platform so no product depends on a single person.

Stakeholder Engagement & Influence:

• Serve as the senior point of contact for assigned platforms with practice leaders, partners, and firm leadership.
• Facilitate requirements-gathering and prioritization sessions with subject matter experts, turning competing asks into a defensible sequence.
• Communicate status, risk, and tradeoffs to executive audiences including the AI Council, escalating early and with options rather than problems alone.
• Drive adoption and change management through enablement, training, and feedback loops that turn a release into actual usage.


AI & Innovation:

• Set the direction for applying generative AI to professional services, including LLMs, document intelligence, agentic workflows, and structured output generation.
• Evaluate and select AI models, APIs, and tooling (e.g., Anthropic Claude, OpenAI, Azure AI), and define the reusable patterns the team applies across platforms.
• Own responsible AI practices for the portfolio in partnership with Risk, Legal, and IT Security, including data privacy, data residency, and client confidentiality (e.g., §7216 consent where applicable).
• Define and track the measures that prove platform value: adoption, cycle-time reduction, accuracy and quality benchmarks, and realization impact.

Qualifications:

Required:

Preferred: