This role pays more than
70%
of similar roles. Most pay
$161,812–$224,075
— the shaded band above.
At the midpoint, this role pays about
$215k
versus about
$193k
for comparable roles.
Based on 240 similar postings.
Employer
About The Federal Reserve
The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.
The Federal Reserve currently has
23 open roles
on FindRole.
Listed pay typically runs
$140,000–$196,900
across 11 roles with salary data.
Risk Data Analytics Product Owner & Reporting Lead serves as a strategic orchestrator within the Risk Analytics & Reporting Function, where you will manage the analytics and AI portfolio to improve risk management decisions. You will act as an analytical translator, transforming ambiguous business questions into structured frameworks, performing exploratory data analysis, and engineering features to create interactive dashboards and risk profile reports. The role involves identifying and refining AI use cases, operationalizing Key Risk Indicators, and developing automated monitoring workflows. To succeed, you must possess technical proficiency in Python, R, Tableau, and Power BI, alongside expertise in data modeling and visualization. You will solve complex problems by translating intricate risk data into actionable insights for executive stakeholders while ensuring all products align with the broader AI integration roadmap and established governance standards across the Federal Reserve System.
Translate ambiguous business questions into structured analytical frameworks and data modeling approaches.
Manage the risk analytics and AI portfolio, including use case identification and solution prototyping.
Perform hands-on data analysis, feature engineering, and modeling using tools like Python, R, and Tableau.
Develop interactive dashboards and reporting products to visualize risk profiles and monitor key indicators.
Lead the operationalization of Key Risk Indicators by developing business logic and automated monitoring workflows.
Act as the primary liaison to the AI Governance Council to ensure alignment with the integration roadmap.
Create repeatable processes and templates to enable self-service reporting for risk management teams.
Translate complex data findings into actionable narratives and executive presentations for senior stakeholders.
What we're looking for
Ability to translate ambiguous business problems into structured analytical frameworks and data analysis approaches.
Experience performing exploratory analysis, feature engineering, and data modeling using tools such as Tableau, Power BI, Python, or R.
Proficiency in applying advanced analytics techniques and best practices to create intuitive risk visualizations for various audiences.
Capability to design and develop business-driven products including interactive dashboards and Key Risk Indicator (KRI) monitoring solutions.
Ability to lead the discovery and refinement of AI use cases to enhance risk reporting and data management.
Skill in building partnerships with stakeholders to identify requirements and manage the full analytical lifecycle from concept to executive presentation.
Eligibility to access confidential supervisory information and FOMC information as a U.S. citizen, lawful permanent resident, or protected individual.