AI Technical Product Manager (Strategy & Delivery)

Accenture Federal Services•Washington, DC

4h•$114,000 - $221,000•Hybrid

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Build AI that matters at national scale. At Accenture Federal Services we turn AI from roadmaps into operational products millions rely on across defense, national security, public safety, civilian services, and military health. We ship with reliability, privacy, and safety as first‑class requirements. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, caring community where you’ll grow through hands‑on delivery, certifications, and industry training while solving some of the most consequential AI product challenges of our time.

Requirements

Delivered AI and data powered products at enterprise scale, generating measurable business results and mission impact.
Backlog management, roadmap ownership, KPI definition, experimentation (MVPs/A/B), and iterative releases that improve time‑to‑value.
Practical experience embedding guardrails, privacy/security controls, and auditability into product delivery.
Comfortable partnering with engineering, data/AI, security/compliance, policy/operations
Able to reason about LLM orchestration, RAG/agents, data/platform architecture, and evaluation hands‑on enough to review designs and validate solutions.
Proven ability to turn strategy into production systems with measurable adoption and reliability.
U.S. Citizen (no dual citizenship)

Nice To Haves

Experience in regulated/secure environments audit‑ready controls, ATO‑like processes, STIGs and Zero Trust.
Familiarity with platforms/services such as Azure, AWS, GCP, Databricks, Snowflake, Palantir, vector search, catalog/lineage tooling.
Exposure to LLM evaluation frameworks, prompt lifecycle management, policy‑based filtering, and agent workflows.
Contributions to product playbooks/standards or open‑source; executive‑level storytelling and proposal support.

Responsibilities

Define and deliver AI‑enabled products that connect mission needs to measurable outcomes.
Set vision, strategy, and roadmaps, translate stakeholder requirements into clear, testable work, and lead cross‑functional teams data, AI, engineering, policy, security to ship in weeks, not quarters.
Embed Responsible AI and governance by design so products are trusted, auditable, and adoptable at scale.
Translate mission goals into product KPIs (adoption, latency, reliability, safety, cost) build outcome‑based roadmaps and investment cases.
Convert ambiguous needs into prioritized user stories and release plans; run MVPs, A/B tests, and progressive delivery in regulated environments.
Operationalize policy‑as‑code, prompt version lifecycle, guardrails (filtering, citations), human‑in‑the‑loop flows, and audit trails aligned to federal standards.
Collaborate with architects to choose the right patterns (LLM, RAG, agents, analytics), data access models, and Zero Trust integrations across cloud/hybrid/on‑prem.
Stand up evaluation harnesses (helpfulness, safety, factuality), define SLIs/SLOs (quality, latency, cost), and drive incident/postmortem rigor to reduce MTTR.
Align business owners, CDO/CIO/CISO/legal/compliance; run decision forums; tell the story with clear value/risk frameworks.
Author playbooks, templates, and product operating models that scale across multiple mission teams; mentor PMs and cross‑functional leads.
Ensure products meet SLOs, pass audits, and work in real‑world constraints (hybrid, restricted, or air‑gapped environments).