Enterprise Risk Management Data Analytics Lead

About The Role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Enterprise Risk Management Data Analytics Lead based in the United States.
The Enterprise Risk Management Data Analytics Lead will drive the development of advanced analytics and reporting capabilities within an enterprise risk management function. This fully remote opportunity combines financial services expertise, data analytics, and technology to strengthen risk oversight and support informed decision-making. The successful candidate will design and maintain executive dashboards, KPI frameworks, and reporting solutions that provide visibility into risk indicators and operational performance. They will also leverage automation, predictive analytics, and AI-enabled tools to improve reporting efficiency and identify emerging risks. Working closely with senior leaders and cross-functional teams, this individual will translate complex data into actionable insights. The role offers the opportunity to influence enterprise-wide risk practices in a highly regulated financial technology environment.

Accountabilities

The Enterprise Risk Management Data Analytics Lead will serve as the primary technical resource for analytics and reporting initiatives across multiple risk programs. They will help strengthen risk visibility, improve governance reporting, and promote data-driven decision-making. Key responsibilities include:

Design, develop, and maintain enterprise risk management dashboards, executive scorecards, KPI frameworks, and analytics solutions using Power BI and other business intelligence or AI platforms.

Partner with business stakeholders to define metrics, gather and validate requirements, refine business questions, and develop scalable reporting solutions.

Analyze business performance, key risk indicators, and operational trends to identify emerging risks, recurring issues, and improvement opportunities.

Deliver actionable insights and recommendations to support strategic decisions, operational effectiveness, and business performance objectives.

Automate and optimize recurring reporting processes to improve efficiency, scalability, accuracy, and timeliness.

Support the development and adoption of advanced analytics capabilities, including AI-enabled reporting, predictive insights, and intelligent automation for enterprise risk management use cases.

Ensure reporting integrity and reliability through data validation, reconciliation, testing, quality assurance, and documentation.

Communicate complex analytical findings clearly to executives, business leaders, and non-technical stakeholders.

Collaborate with business, technology, risk, compliance, audit, and other cross-functional teams to improve reporting capabilities.

Support reporting and governance activities related to Risk and Control Self-Assessments, operational events, issues, and associated validations.

Prepare and deliver risk reporting and analytics for enterprise governance forums.

Promote trusted data standards, process optimization, automation, and continuous improvement across the organization.

Requirements

The ideal candidate will combine substantial enterprise risk management experience with advanced technical expertise in data analytics, business intelligence, and reporting automation. They should be comfortable operating independently in a highly visible role while influencing stakeholders across the organization. Required qualifications include:

Bachelor's degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or a related quantitative discipline.

Advanced degree preferred.

At least 7–8 years of management experience in enterprise risk or operational risk management.

Proven experience designing and maintaining enterprise-scale dashboards, executive scorecards, KPI frameworks, and business intelligence solutions.

Advanced proficiency in Power BI, including data modeling, DAX, Power Query, dashboard architecture, performance optimization, and executive reporting.

Strong hands-on experience with Python, SQL, and PostgreSQL for data extraction, transformation, automation, analytical modeling, and reporting.

Advanced analytical and quantitative skills, with the ability to turn complex datasets into meaningful business insights.

Demonstrated experience translating business challenges into scalable analytics and reporting solutions in collaboration with senior stakeholders.

Strong ability to identify trends, risks, and opportunities and influence strategic and operational decisions through data-driven recommendations.

Excellent communication, presentation, stakeholder management, and consultative influencing skills.

Ability to work independently, lead initiatives, and influence outcomes across multiple teams.

Experience delivering measurable business improvements through reporting innovation, process optimization, automation, and analytics.

Extensive knowledge of data integrity, governance, and reporting quality practices, including validation, reconciliation, testing, and documentation.

Experience with predictive modeling, advanced analytics, machine learning, AI-enabled reporting, or intelligent automation.

Experience in risk management, enterprise risk, compliance, audit, third-party risk, fintech, financial services, or another highly regulated industry is strongly preferred.

Familiarity with mortgage and securitization market processes is an advantage.

CISA certification preferred. AWS Certified Data Analytics, IBM Data Analyst Professional, or Google Data Analytics Professional certifications are also advantageous.

Must be authorized to work in the United States without current or future employer sponsorship. Visa sponsorship, including H-1B sponsorship, is not available.

Successful completion of a pre-employment background investigation is required; a credit check may also be required for certain positions.