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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 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 principles within regulated environments.
Experience documenting decisions, risks, assumptions, requirements, and delivery evidence to support governance, traceability, and continuous improvement.
Strong communication and facilitation skills with the ability to engage both technical and non-technical stakeholders.
Experience supporting Federal government, healthcare, or other highly regulated environments preferred.
Experience working within Agile, Scrum, SAFe, or similar iterative delivery frameworks and tooling such as JIRA and Confluence.
Professional Skills:
Highly effective analytical, problem-solving, and decision-making capabilities.
Excellent written and verbal communication skills, with the ability to work effectively across technical and non-technical audiences.
Strong organization, attention to detail, and the ability to prioritize and manage multiple responsibilities.
Collaborative approach with a commitment to quality, accountability, and continuous improvement.
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Bot and Third-Party Applications
Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact for assistance.
Working at ICF
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEOpolicy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.
Read more about workplace discrimination rightsor our benefit offerings which are included in the Transparency in (Benefits) CoverageAct.
Candidate AI Usage Policy
At ICF , we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at . Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$74,090.00 - $125,954.00Nationwide Remote Office (US99) Originally posted on Himalayas