AI Product Manager

ICF International; Reston (VA); Remote; USD 140,000 - 180,000; Full time

Job summary

ICF seeks an AI Product Manager for the contractor side to own backlog readiness and translate approved needs into features, user stories, requirements, and testable acceptance criteria for a federal analytics platform.

You will lead discovery, stakeholder clarification, backlog grooming, dependencies, decision tracking, and sprint-ready story preparation with the Functional Lead and Agile Delivery Manager. Remote role with DC-area preference.

Qualifications

• U.S. Citizenship required due to federal contract.
• U.S. residency and work authorization required.
• Three-year U.S. residence in the last five years.
• Bachelor's degree or four years of equivalent experience in a related field.
• Minimum 6 years as Product Manager/Owner/BA or similar role.
• Master's degree may substitute for two years of experience.

Responsibilities

• Own contractor-side backlog readiness and translate needs into features and user stories.
• Lead discovery, clarification, backlog grooming, dependencies, decisions, and sprint-ready prep.
• Support Senior Product Manager and VA Product Owner without overriding government authority.
• Apply agile product management, requirements analysis, user stories, acceptance criteria, and backlog refinement.
• Collaborate with engineering, data science, security, governance and customer-facing teams as required.
• Document work products, decisions, risks, and delivery evidence for traceability.

Skills

backlog readiness

discovery

stakeholder facilitation

agile product management

requirements analysis

user stories

acceptance criteria

backlog refinement

dependency management

delivery readiness

stakeholder collaboration

Education

Bachelor's degree

Master's degree

Tools

Azure

Databricks

Power BI

Azure Machine Learning

Job description

Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.

The Work

At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission‑critical government programs.

Join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud‑based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale.

The AI Product Manager owns contractor‑side backlog readiness for an assigned delivery domain and ensures approved needs are translated into features, user stories, requirements, and testable acceptance criteria before refinement. Leads discovery, stakeholder clarification, backlog grooming, dependency identification, decision tracking, and sprint‑ready story preparation with the Functional Lead and Agile Delivery Manager. Supports the Senior Product Manager and VA Product Owner but does not replace Government authority for priority, sequencing, approval, or acceptance.

Job Location: Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC.

*If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections.

What You Will Do:

• Owns contractor‑side backlog readiness for an assigned delivery domain and ensures approved needs are translated into features, user stories, requirements, and testable acceptance criteria before refinement.
• Leads discovery, stakeholder clarification, backlog grooming, dependency identification, decision tracking, and sprint‑ready story preparation with the Functional Lead and Agile Delivery Manager.
• Supports the Senior Product Manager and VA Product Owner but does not replace Government authority for priority, sequencing, approval, or acceptance.
• Apply Agile product management, requirements analysis, user stories, acceptance criteria, backlog refinement, stakeholder facilitation, domain discovery, and dependency management to support role delivery.
• Collaborate with relevant product, engineering, security, governance, quality, and customer‑facing stakeholders as required by the role.
• Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement.

Basic Requirements

• U.S. Citizenship is required due to federal contract requirements.
• Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
• Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years.
• Bachelor's degree in Product Management, Business Administration, Information Systems, Computer Science, Data Analytics, Public Administration, or a related field; or a high school diploma with four (4) additional years of relevant experience in lieu of a bachelor's degree.
• Minimum 6 years of relevant experience serving as a Product Manager, Product Owner, Business Analyst, or similar role supporting AI-focused initiatives.
• Master's degree may substitute for two (2) years of relevant experience.

Preferred Qualifications

• Experience leading discovery efforts, stakeholder interviews, requirements elicitation workshops, and business process analysis activities.
• Experience translating business needs into epics, features, user stories, acceptance criteria, and prioritized product backlogs.
• Experience facilitating backlog refinement, sprint planning preparation, dependency management, decision tracking, and delivery readiness activities.
• Experience working with engineering, data science, AI/ML, security, governance, and business teams to define and deliver technology solutions.
• Familiarity with artificial intelligence, machine learning, generative AI, analytics, and data products, including the ability to evaluate use cases, business value, risks, and implementation considerations.
• Experience developing product roadmaps, release plans, success metrics, and adoption strategies for technology-enabled solutions.
• Familiarity with cloud‑based analytics and AI platforms such as Azure, Databricks, Power BI, Azure Machine Learning, or similar technologies.
• Understanding of data governance, privacy, security, compliance, and Responsible AI