Description
In this role, you’ll make an impact in the following ways:
- Apply quantitative techniques from applied mathematics, statistics, econometrics, and risk modeling to solve business problems, assess risk, and generate insights that support decision-making across Risk & Compliance.
- Work on AI,GenAI,and machine learning use cases, using modern data science approaches for document intelligence, summarization, classification, knowledge extraction, intelligent search, workflow automation, and advanced analytics.
- Design and deliver scalable digital solutions by contributing across the full solution lifecycle, including ideation, development, testing, deployment, and continuous improvement, in partnership with business and engineering teams.
- Build and enhance data pipelines, dashboards, UI/UX and reporting solutions using Python, SQL, APIs, and enterprise platforms, working with both structured and unstructured data.
- Support data-driven transformation by improving processes, strengthening controls, and building hands on skills across analytics, data, engineering, automation,



and emerging technologies
- Build and operationalize a centralized calculations service (rules, versioning, traceability) to ensure consistency, reproducibility, and audit-readiness across dashboards and reports.
- 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.
- 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 explicit decision logs and evidence packs.
- Align platform strategy with BNY’s strategic p

📌 Senior Vice President, Data Management (Pune)
🏢 BNY Mellon
📍 Pune