Risk Data Analytics Product Owner & Reporting Lead

The Federal Reserve Bank of New York is seeking a Risk Data Analytics Product Owner & Reporting Lead to serve as the analytical translator and product architect for risk profile visualization and reporting capabilities. In this role, you will lead risk data analytics and AI-augmentation work, including operationalizing Key Risk Indicators (KRIs), building dashboards and reports, and identifying AI use cases through governance and execution across the Federal Reserve System.

Responsibilities

• Act as the strategic thought leader and central orchestrator for the Risk Function’s analytics and AI portfolio, managing use case identification and refinement, data mining and modeling, and solution prototyping using machine learning and data analytics platforms.
• Serve as a liaison to the FRBNY AI Governance Council and the System Risk AI Community of Practice, maintaining alignment with governance while balancing innovation and strategic fit.
• Partner with stakeholders to frame questions, define data requirements, conduct exploratory data analysis, engineer features, develop visualizations, and craft clear narratives that convert complex findings into actionable business insights.
• Collaborate with risk professionals across the Federal Reserve System to translate ambiguous business challenges into concrete analytical approaches, execute analyses, and communicate results via self-service tools and targeted dashboards.
• Translate initial hypotheses, questions, or ambiguous problems into structured analytical frameworks and defined data analysis approaches.
• Lead discovery sessions with risk professionals and subject matter experts to clarify the “question behind the question” and ensure analyses target underlying business needs.
• Work hands-on with data sets and visualization tools, using Tableau, Power BI, Python, and R to support exploratory analysis, feature engineering, and data modeling.
• Apply data visualization best practices and advanced analytics techniques to turn complex risk data into intuitive, actionable insights for management and risk officers.
• Create repeatable processes and templates for common risk analytics use cases to support self-service reporting capabilities.
• Run regular user feedback sessions, usability studies, and user acceptance testing to ensure visualization and reporting products align with evolving risk management workflows.
• Design and develop business-driven analytics products, including interactive dashboards, risk profile reports, and KRI monitoring solutions that draw from enterprise data infrastructure (structured and unstructured data).
• Build partnerships across the Federal Reserve System to understand risk reporting personas, workflows, pain points, visualization needs, and KRI requirements.
• Lead KRI operationalization, including business logic and data sourcing requirements, automated monitoring workflows, and integration of KRIs into risk profile visualization and reporting interfaces.
• Discover, capture, and refine AI use cases that can enhance risk profile visualization and reporting, supporting experimentation and paths to production in partnership with data scientists and TG resources.
• Contribute to shaping a Risk Data Strategy and drive its implementation through data sourcing and modeling requirements that support analytics and reporting products.

Technologies

• Tableau
• Power BI
• Python
• R

Benefits

• Educational assistance, career development tools, and stretch opportunities
• Parental leave, adoption assistance, back-up dependent and elder care, college planning resources, and more
• Comprehensive insurance plans, leave policies, onsite Health & Wellness Center, and onsite Fitness Center
• Pension plan, 401(k) with generous match, financial planning resources, and a subsidized public transportation program

Location: New York, NY (onsite)

Salary: USD 200,000 - 230,000 per year

Employment: Full time, Regular, Exempt (Yes)

Category: Data Analytics Family Group

Work shift: First (United States of America)