Director, Operational Risk Lead, Risk & Compliance Analytics and Reporting

BNY•New York, NY

11d•Onsite

About The Position

Director, Operational Risk Lead, Risk & Compliance Analytics and Reporting At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We are looking to hire a Director, Operational Risk Lead, to join our Risk & Compliance Analytics & Reporting team. This position is based in New York/Pittsburgh, with an expectation of 4-5 days per week in the office. The role will report to the Global Head of Risk and Compliance Analytics & Reporting. In this role, you'll make an impact in the following ways:

Requirements

12+ years of prior work experience in a global financial or professional services firm, with at least 10 years specifically in Operational Risk, Audit or regulatory analytics roles.
5+ years leading analytics or data science programs, including AI/ML-enabled compliance solutions and enterprise dashboarding
Strong domain knowledge of key operational risk framework and practices: RCSA, KRIs/KCIs, loss event data and taxonomy, scenario analysis, issues/actions management, and control testing.
Hands-on experience with data platforms (e.g. SQL, data warehousing/data lakes), BI tools (Power BI)
Familiarity with responsible AI practices (explainability, fairness, monitoring), data governance and audit-ready documentation
Proven experience leading cross-functional teams (data science, engineering, BI, compliance SMEs) and managing complex, multi-region deliverables.
Excellent interpersonal skills with the ability to collaborate effectively across all lines of defense and multiple regions/time zones, fostering a strong risk culture.
Superior written and verbal communication skills, capable of influencing and presenting complex risk and compliance information clearly to internal and external stakeholders.
Intellectual curiosity, enthusiasm, and adaptability to rapidly assimilate new information and operate with a strong delivery focus in a fast-paced environment.
Bachelor's degree required; advance degree in a quantitative areas like business, finance, engineering, or related disciplines; relevant industry certifications or qualifications are a plus.

Responsibilities

Define and execute the operational risk analytics strategy across self-serve analytics, AI-enabled frameworks, and enterprise dashboards—delivering timely, actionable insights to Operational Risk, First Line leaders, and senior stakeholders.
Lead end-to-end development of curated operational risk insights and thematic analytics—covering domains such as technology/cyber, third-party risk, fraud, conduct, business continuity, and process/control risk.
Design and operationalize predictive anomaly detection systems to surface early signals of operational risk events (e.g., incident patterns, control failures, data quality issues, capacity constraints) before they escalate.
Establish robust data governance, model lifecycle controls, and monitoring frameworks to ensure accuracy, explainability, and auditability of all analytics and AI solutions.
Drive adoption of self-serve analytics by building scalable data products, standardized semantic layers, and enablement programs that empower risk and business teams.
Build executive-ready dashboards and narratives connecting analytics to operational risk posture, control effectiveness, issue remediation progress, and Board/committee reporting.
Implement repeatable pipelines and quality controls for operational risk reporting (KRIs/KCIs, RCSA outcomes, loss event data, scenario analysis), ensuring consistency, completeness, traceability, and timely delivery.
Lead thematic reviews using advanced analytics to pinpoint root causes, control gaps, and prioritized remediations for high-impact operational risk themes.
Set standards and best practices for responsible AI use in operational risk (guardrails, validation, explainability, performance monitoring, documentation) in partnership with governance bodies.
Champion data quality improvements and source-system enhancements for critical operational risk data elements (CDEs), strengthening leading indicators and surveillance coverage.
Orchestrate cross-functional incident reviews using analytics to accelerate root cause analysis, inform corrective actions, and prevent recurrence.
Represent the function in audits, regulatory exams, and senior forums—articulating methodologies, controls, and evidentiary support with confidence and clarity.
Align with BNY's strategic pillars and principles—be client-obsessed through usable analytics, run the company better via automation and controls, spark progress with AI, and thrive together through strong partnerships.