Product Data Manager

Location: McLean, VA / Richmond, VA (local candidates preferred)

Duration: Contract through May 31

Openings: 1We are seeking a Lead Product Manager to support its Risk Management and Data Products team, with a focus on Anti-Money Laundering (AML) processes. This role will work closely with data engineers, analysts, modeling teams, and business stakeholders to manage data pipelines, data integrations, product roadmaps, and delivery priorities. The ideal candidate has experience managing data products and technical teams, understands upstream and downstream data dependencies, and can translate business needs into actionable requirements and delivery plans.

Key Responsibilities: Manage production data pipelines and coordinate upstream and downstream data requirements. Partner with data engineering, analytics, modeling, and investigative teams to ensure data meets business needs. Develop and maintain product roadmaps, delivery plans, and priorities for data initiatives. Gather requirements from end users and translate them into actionable work for technical teams. Manage backlogs, track progress, and coordinate deliverables using Jira. Establish processes to track stakeholder requests, dependencies, and delivery commitments. Coordinate data model delivery and data integration initiatives. Communicate project status, timelines, risks, and expectations to stakeholders. Balance competing priorities while ensuring timely delivery of data products.

Required Qualifications: Experience in product management, preferably supporting data products, data platforms, or data integration initiatives. Understanding of data pipelines and upstream/downstream data dependencies. Experience working with technical teams, including data engineers and data analysts. Strong stakeholder management, communication, and prioritization skills. Experience managing product roadmaps, backlogs, and delivery plans. Proficiency with Jira for tracking work and coordinating technical team deliverables. Ability to understand data requirements and how downstream teams consume and use data.

Preferred Qualifications: Experience managing or leading data teams. Background in risk management, financial services, banking, or Anti-Money Laundering (AML).Experience supporting data modeling, investigative analytics, or data integration projects. Strong understanding of data quality, data availability, and data delivery processes.

Interview Process: Initial 30-minute conversation focused on background, interest in the opportunity, behavioral questions, and relevant experience.

Ideal Candidate: The ideal candidate is a data-focused Product Manager who can bridge business stakeholders and technical teams, manage data delivery from source systems to downstream consumers, and drive prioritization and execution across data initiatives.

Note: This is a data-oriented product management role, not a traditional web or mobile application product management position.