Senior Product Manager, Data & AI (Remote, Continental United States)

ICA, Inc. is a data science and strategic services company supporting federal agencies and government services organizations. The Senior Product Manager, Data & AI will own the roadmap for a document intelligence platform, translate customer needs into technical requirements, and coordinate product priorities across data, AI, engineering, search, and frontend teams. The role will also define measurable AI quality standards, manage discovery and releases, and monitor product performance.

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

Requirements:

• 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 closely with data scientists, data engineers, software engineers, and UX teams
• Strong stakeholder-management, facilitation, written communication, and decision-making skills
• Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years
• Must be able and willing to obtain a Public Trust Clearance
• Experience with document intelligence, OCR, semantic search, vector retrieval, generative AI, or human-in-the-loop workflows
• Experience building products on AWS
• Familiarity with services such as S3, DynamoDB, OpenSearch, Step Functions, SQS, EventBridge, Bedrock, SageMaker, or Textract
• Experience with regulated, healthcare, medical-device, or other high-consequence products
• Familiarity with model governance, explainability, evidence traceability, and reviewer workflows
• Experience supporting multiple clients while maintaining a coherent, reusable product roadmap