We are seeking a team member to lead the design and delivery of Operational Risk's data and analytics ecosystem by combining deep data engineering expertise with risk, governance, and reporting knowledge to enable data-driven risk intelligence across the organization. In this role, you’ll make an impact in the following ways :

- Design and manage secure, scalable, and resilient data architectures that support Operational Risk reporting, analytics, governance, and regulatory requirements.
- Build and optimize end-to-end ETL/ELT pipelines using AI, Python and contemporary data engineering frameworks to automate ingestion and integration of data from multiple internal and external sources.
- Lead advanced data transformation and modeling using dbt and Snowflake, creating trusted, high-quality datasets that support enterprise risk reporting and analytics.
- Partner with Operational Risk, Engineering, Audit, Technology, and Business stakeholders to translate complex business requirements into scalable data and analytics solutions.
- Deliver business intelligence, reporting, dashboards, and self-service analytics capabilities that provide actionable risk insights to management, committees, and regulatory stakeholders.
- Establish and maintain robust data governance, quality, lineage, stewardship, and control frameworks to ensure data integrity, transparency, and compliance.
- Drive Agile delivery, automation, innovation, and continuous improvement , leveraging modern engineering practices, AI-enabled solutions, CI/CD pipelines, and emerging technologies.
- Transform operational risk data into proactive risk intelligence that supports risk identification, trend analysis, decision-making, and broader Operational Risk Management objectives.

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

- Bachelor’s degree in computer science, Information Systems, or a related field, or an equivalent combination of education and experience.

- 6+ years of experience in Data Engineering,



ETL/ELT development, and Data Analytics

- Technical Stack Mastery:

- AI: experience building and using AI agents- Snowflake: Deep understanding of cloud data warehouse architecture, virtual warehouses, performance tuning, and role-based access control.- Python: Advanced programming skills for data manipulation, API integration, and automation.- dbt: Proven track record of using dbt for managing staging/mart layers, DAGs, and automated testing in a production environment.- SQL: Expert-level ability to write complex, performant queries and analytical functions.-

- Power BI: Hands-on experience on building basic reports and dashboards

- Core Concepts: Strong foundational knowledge of data warehouse dimensional modeling, data analytics, and robust data governance principles (data quality, stewardship, and compliance).

- Domain Knowledge: Previous experience working in Risk Management, specifically Non-Financial Operational Risk, Compliance, or Audits is highly preferred.

- Soft Skills: Exceptional cognitive and problem-solving skills, leadership skill, meticulous attention to detail, and a demonstrated eagerness to learn and adopt emerging technologies. Excellent communication skills to bridge the gap between technical teams and business leadership.

- Additional Tools: Experience with AWS, Azure products and BI tools is a strong plus.

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.

📌 Vice President, Corporate Operational Risk (Pune)
🏢 BnY
📍 Pune