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Senior Product Manager, Data & AI; Remote, Continental

Remote / Online - Candidates ideally in
Waynesboro, Virginia, 22980, USA
Listing for: International Consulting Associates, Inc
Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Business & Operations
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

About ICA, Inc.

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting‑edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!

We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas:
Research and Data Analysis, Advanced‑Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.

At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

We are looking for a Senior Product Manager, Data & AI to join our growing team!

ABOUT THE ROLE:

We are hiring a Senior Product Manager, Data & AI to own the product roadmap and priorities across the full document intelligence platform. You will translate customer and reviewer needs into clear, testable requirements and ensure problems are solved at the correct layer, whether that is the user experience, source data, extraction pipeline, model, search logic, thresholds, or business rules.

This role is well suited to a product leader who understands that AI products require measurable definitions of quality, including accuracy, false‑positive rates, reviewer effort, evidence requirements, and operational performance.

KEY RESPONSIBILITIES:
  • Own the product roadmap and priorities across data engineering, data science, backend, search, and frontend teams.
  • Lead discovery with clients and internal stakeholders using prototypes, demos, and working software.
  • Translate business needs into product requirements, user stories, business rules, and measurable acceptance criteria.
  • Define requirements for document processing, alerts, scoring, evidence presentation, search, review workflows, and source traceability.
  • Partner with data scientists to define evaluation datasets, model metrics, confidence thresholds, and acceptable false‑positive and false‑negative rates.
  • Work with data engineers on ingestion, normalization, metadata, lineage, processing completeness, and data‑quality requirements.
  • Diagnose whether product issues originate in the UI, data, model, pipeline, search, thresholds, or business rules.
  • Prioritize reusable platform capabilities over narrow, one‑off client customizations.
  • Coordinate release readiness, client demonstrations, and structured feedback collection.
  • Measure product performance using accuracy, completeness, reviewer effort, latency, reliability, adoption, and cost.
  • Communicate priorities, tradeoffs, limitations, and delivery expectations clearly to clients and internal teams.
REQUIRED QUALIFICATIONS:
  • Senior product management experience delivering AI/ML, data‑intensive, search, or workflow products.
  • Experience prioritizing work across multiple engineering disciplines, including data, ML, backend, and frontend.
  • Demonstrated success running prototype‑or demo‑driven product discovery.
  • Ability to turn business needs into detailed, technical, and testable requirements.
  • Experience defining measurable acceptance criteria for probabilistic features such as model outputs, alerts, recommendations, or rankings.
  • Strong understanding of data pipelines, APIs, data quality, system dependencies, and model behavior.
  • Experience working…
Position Requirements
10+ Years work experience
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