Director, Enterprise Risk & Regulatory Analytics, Marlborough, MA, Hillsboro, OR, Hybrid

Director, Enterprise Risk & Regulatory Analytics, Marlborough, MA, Hillsboro, OR, Hybrid

Job Category: Information Technology

Requisition Number: DIREC
006448

• Posted :
  May 28, 2026
• Full-Time
• Hybrid

• Operations Center – 853 Donald Lynch Blvd. Marlborough, MA 01752, USA
• Hillsboro Corporate – 5100 NE Dawson Creek Dr. Hillsboro, OR 97124, USA

The Director of Enterprise Risk & Regulatory Analytics leads the delivery of data and analytics capabilities that enable enterprise risk management, regulatory compliance, and risk‑informed decision‑making through trusted, governed single source of truth data and actionable insights. The role partners closely with the Chief Risk Officer (CRO) organization and provides thought leadership at the intersection of business and technology to enable scalable analytics that support regulatory compliance needs, continuous risk monitoring, and proactive decision‑making with actionable insights.

Through a federated analytics model, this role enables the CRO organization to leverage governed enterprise data, tools, and analytics assets while maintaining consistency and trust in key metrics and insights.

• Partner with the CRO organization to design and deliver data and analytics capabilities supporting ERM, regulatory compliance (e.g., NCUA), and internal audit and exam readiness by enabling trusted insights and strategic decision‑making.
• Partner with Business Analysts and Data Stewards from the CRO organization to support a federated analytics model that enables business to leverage governed enterprise risk data and analytics assets to deliver consistent and scalable insights.
• Ensure governed and trusted data across key risk domains that includes credit risk (loan portfolios, delinquencies, charge‑offs), interest rate and liquidity risk, operational and fraud risk, and cybersecurity risk, enabling consistent interpretation of high‑quality risk metrics and enterprise‑wide trust in risk analytics.
• Develop advanced analytics capabilities (e.g., predictive analytics) supporting regulatory reporting and board risk reporting packages, early‑warning risk detection, capital stress testing, forecasting, and scenario modeling to strengthen enterprise risk management and resilience.
• Lead development of enterprise dashboards that provide standardized metrics and actionable insights related to risk and regulatory functions (CRO Lens), enabling anytime, anywhere decision support for leadership.
• Partner with the CRO organization to implement enterprise data and AI governance policies, ensuring alignment with risk and compliance controls, audit readiness, and regulatory reporting requirements.
• Partner with Compliance, Finance, and Internal Audit to ensure analytics align with regulatory expectations and audit controls.
• Coordinate with enterprise data and analytics teams to ensure alignment with architecture, governance, and data standards.
• Enable risk stakeholders to effectively leverage analytics tools and insights for day‑to‑day monitoring and strategic risk decisions.
• Lead, mentor, and develop analytics professionals while fostering a culture focused on collaboration, trusted data, reusable capabilities, and measurable business outcomes.

• Required
  
  Education:
  
  Bachelor's degree in a field relevant to the role (or 4 additional years of relevant experience in lieu of a degree). Advanced degree preferred.
• Required Experience:
  
  8+ years of relevant experience; 4+ years as a People Leader.

• 10+ years of experience in risk analytics, regulatory analytics, or enterprise data analytics within financial services or regulated industries.
• Deep knowledge of enterprise risk management disciplines (credit, operational, cyber, financial risk).
• Experience delivering risk and regulatory analytics solutions that support executive decision‑making and operational oversight.
• Experience with regulatory reporting, stress testing, and scenario modeling.
• Experience developing predictive analytics, forecasting models, stress testing frameworks, or scenario modeling to support risk management.
• Background in data governance, data quality, and data…