Director, Data & Infrastructure Lead, Risk & Compliance Analytics and Reporting

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Director, Data & Infrastructure Lead, to join our Risk & Compliance Analytics & Reporting team. This role is located in Pune/Chennai, 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:

• Own the RCAR data platform strategy, reference architecture, and capability roadmap; define standards for data models, canonical forms, and semantic layers.
• Define and implement RCAR’s end-to-end data architecture (ingest, transform, serve) and AI-enabled infrastructure to power self-serve analytics, advanced analytics, and regulatory reporting—anchored in SLAs/SLOs, observability, and resilience (DR/BCP).
• Establish canonical, vectorized data forms and standardized semantic layers to accelerate feature engineering, retrieval-augmented generation (RAG), and reusable analytics patterns.
• Build and govern a comprehensive metadata program—including catalog, lineage capture, classification, ownership (RACI), stewardship, and approval workflows—to improve discovery, traceability, and audit-readiness.
• Design and operationalize a data intelligence mesh that balances federated domain data products with centralized guardrails for quality, security, and interoperability; define shared contracts and interoperability standards.
• Embed robust access and trust controls (segregation of duties, break-glass protocols) ensuring compliant use of Risk & Compliance data; align with privacy, retention, and acceptable use requirements.
• Partner with CDO and Data Engineering to deliver scalable pipelines, data contracts, and runtime governance—improving reliability, timeliness, and cost efficiency via FinOps practices.
• Enable responsible AI by integrating feature stores, embedding/vector stores, model registries, monitoring, and explain ability across the data and ML lifecycle; enforce model/data versioning and reproducibility.
• Elevate data quality through critical data element (CDE) governance, validation rules, profiling, anomaly detection, and proactive remediation workflows; publish data quality scorecards and ownership.
• Provide executive-ready data health reporting and platform metrics that link infrastructure performance to business outcomes, risk posture, and regulatory commitments; maintain clear decision logs and evidence packs.
• Align platform strategy with BNY’s strategic pillars—be more for our clients through usable data products, run our company better with automation and controls, and power our culture through collaboration and standards.

To be successful in this role, we’re seeking the following:

• 12–15+ years in data architecture, platform engineering, or data product leadership; experience in financial services and Risk/Compliance domains strongly preferred.
• Proven expertise in enterprise data design (dimensional/normalized models), canonical data forms, vectorization/embeddings, semantic layers, and distributed data systems.
• Hands-on experience with metadata cataloging, lineage, data governance, and access controls across regulated environments.
• Familiarity with AI/ML platform components (feature stores, embedding/vector databases, model registries, monitoring/explain ability) and MLOps/Data Ops practices.
• Strong track record partnering with CDO and Data Engineering organizations to deliver scalable, reliable data platforms and reusable data products.
• Proficiency with SQL, data warehousing/data lakes, streaming, orchestration, and observability tools; familiarity with Python and ML pipelines is advantageous.
• Excellent communication and stakeholder management skills—able to translate technical concepts into business outcomes and influence senior leaders.
• 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.

At BNY, our culture speaks for itself, check out the latest BNY news at:

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Here’s a few of our awards:

• America’s Most Innovative Companies, Fortune, 2024
• World’s Most Admired Companies, Fortune 2024
• “Most Just Companies”, Just Capital and CNBC, 2024

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.