Senior Product Manager, Data & AI
New
I
International Consulting Associates, Inc.Data Science & Consulting
Remote work from anywhere within the continental United States, Eastern Standard Time (EST)Full-TimeSenior
Salary150,000 - 172,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Required Skills
- Product ManagementData engineeringData scienceRESTful APIsStakeholder management
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 able and willing to obtain a Public Trust Clearance.
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.
View Full Description & ApplyYou'll be redirected to the employer's site
