Risk Data Analytics Product Owner & Reporting Lead

About the role

When you work at the New York Fed, you have the opportunity to make an impact in our communities and across the nation. Our mission‑driven, curious, and dedicated colleagues apply their diverse perspectives and unique talents to support the strength of the U.S. economy and stability of the global financial system. At the Bank, we work full‑time onsite with our teams. We believe being physically together allows us to draw on our collective strengths, while recognizing that the ability to work flexibly from time to time remains important to achieving our mission. Our Unique Work: The Risk Analytics & Reporting Function drives data analytics and AI‑augmentation product development to improve risk management decisions across FRBNY and System stakeholders. You'll serve as a strategic thought leader and central orchestrator for the Risk Function's analytics & AI portfolio, managing use case identification & refinement, data mining & modeling, and solution prototyping using machine learning & data analytics platforms. As the lead liaison to the FRBNY AI Governance Council and the System Risk AI Community of Practice, you'll balance innovation with strategic fit, ensuring each use case advances the broader AI integration roadmap while maintaining appropriate governance and fostering knowledge sharing across the Federal Reserve System.

Responsibilities

• Serve as the analytical translator and product architect for risk profile visualization and reporting capabilities.
• Partner with business stakeholders to take initial hypotheses, questions, or ambiguous problems and translate them into structured analytical frameworks and data analysis approaches.
• Lead discovery sessions with risk professionals and subject matter experts to frame the “question behind the question” and probe beyond initial requests to uncover underlying business needs.
• Work hands‑on with data sets and visualization tools (e.g., Tableau, Power BI, Python, R) to perform exploratory analysis, feature engineering, and data modeling to test hypotheses and communicate findings.
• Employ data visualization best practices and advanced analytics techniques to transform complex risk data into intuitive, actionable insights for various risk audiences.
• Establish repeatable processes and templates for common risk analytics use cases to enable self‑service reporting capabilities.
• Conduct regular user feedback sessions, usability studies, and user acceptance testing to ensure visualization and reporting products meet evolving risk management workflows.
• Design and develop business‑driven analytics products including interactive dashboards, risk profile reports, and KRI monitoring solutions that leverage structured and unstructured data from enterprise data infrastructure.
• Build strong partnerships with risk professionals, business stakeholders, and subject matter experts across the Federal Reserve System to understand risk reporting personas, workflows, pain points, visualization needs, and KRI requirements.
• Lead the operationalization of Key Risk Indicators (KRIs), including developing business logic and data sourcing requirements, implementing automated monitoring workflows, and integrating KRIs into broader risk profile visualization and reporting interfaces.
• Lead the discovery, capture, and refinement of AI use cases that can enhance risk profile visualization and reporting, driving experimentation and path to production in partnership with data scientists and TG resources.
• Contribute to the shaping of a Risk Data Strategy and drive its implementation through data sourcing and modeling requirements that support analytics and reporting products.

Skills

• Partner with business stakeholders to translate hypotheses, questions, or ambiguous problems into structured analytical frameworks.
• Lead discovery sessions with risk professionals and subject matter experts to uncover underlying business needs.
• Work hands‑on with data sets and visualization tools (Tableau, Power BI, Python, R) for exploratory analysis, feature engineering, and data modeling.
• Apply data visualization best practices and advanced analytics techniques to turn complex risk data into actionable insights.
• Establish repeatable processes and templates for common risk analytics use cases.
• Conduct user feedback sessions, usability studies, and user acceptance testing.
• Design and develop business‑driven analytics products such as interactive dashboards, risk profile reports, and KRI monitoring solutions.
• Build strong partnerships with risk professionals, business stakeholders, and subject matter experts across the Federal Reserve System.
• Lead the operationalization of Key Risk Indicators (KRIs), including developing business logic, data sourcing, automated monitoring, and integration.
• Lead discovery, capture, and refinement of AI use cases to enhance risk profile visualization and reporting.
• Contribute to shaping and implementing a Risk Data Strategy through data sourcing and modeling requirements.

Pay

Salary Range: $200,000‑$230,000 per year.

Benefits

• Learning & Growing: Educational assistance, career development tools, and stretch opportunities.
• Supporting Your Family: Parental leave, adoption assistance, back‑up dependent and elder care, college planning resources, and more.
• Managing Your Health: Comprehensive insurance plans, leave policies, onsite Health & Wellness Center, and onsite Fitness Center.
• Optimizing Your Finances: Pension plan, 401(k) with generous match, financial planning resources, and subsidized public transportation program.

Schedule

Full‑time, onsite work.