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Vice President, Data Management Engineer

BNY

On-site
Pune, MH, India
Full-time
Principal
Manager
10+ yrs
Salary not listedPosted 2d ago

Real job — pulled straight from BNY’s careers page · Verified September 9, 2026 · No reposts.

Job description

BNY is hiring a Vice President, Data Management Engineer — a full-time, based in Pune, MH, India role. Apply directly on BNY's careers page below.

Vice President, Data Management Engineer

Location: Pune, MH, India

We’re seeking a future team member for the role of Vice President, Data Management Engineer to join our PAYMENTS ENABLEMENT ENGINEERING team. This role is located in Pune.

In this role, you’ll make an impact in the following ways: 

Mesh Integration and Data Product Onboarding 

  • Design and build reusable APIs, connectors and event-driven patterns for Data Product registration, validation, publication and lifecycle management. 
  • Integrate Snowflake, Git and CI/CD pipelines with metadata, catalog, lineage, data-quality, entitlement and marketplace capabilities. 
  • Implement metadata-as-code, data-contract and schema-validation patterns that can be adopted across platforms. 
  • Create closed-loop integrations that synchronize identifiers, ownership, status, changes, exceptions and retirement events. 
  • Engineer secure, scalable and supportable deployment patterns with automated testing, versioning and release controls. 

Governance Automation and Controls 

  • Translate governance, policy and certification requirements into automated validations, workflow steps and deployment gates. 
  • Validate required ownership, classifications, descriptions, ADS linkage, lineage and data-quality controls before publication. 
  • Automate schema-drift detection, exception routing, control evidence and certification workflows. 
  • Design human-in-the-loop workflows that automate mechanics while preserving accountable business and risk decisions. 

AI-Enabled Data Operations 

  • Apply AI to accelerate metadata discovery, enrichment, mapping, classification and data-quality rule suggestions. 
  • Build structured, traceable AI workflows with evaluation, guardrails, confidence thresholds and approval controls. 
  • Develop accelerators for enterprise identifier mapping, reference-data enrichment and relationship resolution. 
  • Measure automation accuracy and operational impact through a trust-but-verify model. 
  • Package successful components as reusable services that can scale across Asset Servicing domains. 

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

Critical Knowledge, Skills and Abilities 

  • Strong software, data-platform or integration-engineering capabilities with a production mindset. 
  • Deep experience designing REST APIs, event-driven integrations, data pipelines and distributed services. 
  • Hands-on expertise with Python, SQL, Snowflake, Git and CI/CD. 
  • Experience with metadata catalogs, lineage, data quality, schemas, data contracts or Data Product platforms. 
  • Understanding of observability, idempotency, retries, recovery, audit logging, security and entitlement patterns. 
  • Ability to translate governance and control requirements into testable, automated engineering controls. 
  • Practical experience applying LLMs or machine learning to structured enterprise workflows with human oversight. 
  • Ability to move rapidly from prototype to maintainable, production-ready capability. 
  • Ability to work across Product, Architecture, Governance, Risk, Operations and Engineering teams. 
  • Strong judgment and a bias toward measurable business outcomes over technology novelty. 

Required Experience 

  • Significant experience in software engineering, data engineering, platform engineering or enterprise integration. 
  • Demonstrated experience building and operating production APIs, pipelines, automation services or integration frameworks. 
  • Experience integrating enterprise data, metadata, Reference Data, governance or Data Product ecosystems. 
  • Experience with cloud data platforms, automated testing, deployment pipelines and operational monitoring. 
  • Experience partnering directly with Product, Architecture, Data Governance and platform-engineering teams. 
  • Bachelor's degree or equivalent professional experience. 
  • Strongly preferred: Asset Servicing, Fund Accounting, Custody, Middle Office, Transfer Agency or Capital Markets experience. Experience with enterprise metadata platforms, UCM or UPM, OpenAI APIs or comparable services, graph technologies, orchestration frameworks and event platforms is beneficial. 
  • 10+ years if working experience in Payment or Banking industry or related product based company with good understanding of processes , policies etc along with domain knowledge preferably Payment domain business domain knowledge
  • Good working experience on Public or Private cloud and related concepts
  • Must have Good Debugging skills and able to help team to support debugging and support any production incidents
  • 5+ years of working in Agile/POD with Scrum/Kanban based execution
  • 5+ years of experience of leading a team of 8+ team 
  • Working experience of AI based technologies / solutions like Copilot , Windsurf etc
  • Need to be aware of AI/ML/LLM etc and help the team to support origination level initiatives 
  • Experience of participating into organization level initiatives like CSR , hackathons etc and encourage / lead teams to do the same

About Us

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.

About the Organization

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

 Here’s a few of our recent awards:

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • “Most Just Companies”, Just Capital and CNBC, 2025

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.

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Frequently asked questions

What skills are required for Vice President, Data Management Engineer at BNY?

The required skills for Vice President, Data Management Engineer at BNY include: Python, SQL, Snowflake, Git, CI/CD, REST, Machine Learning, LLM, Agile, Scrum, Kanban.

What is the seniority level for Vice President, Data Management Engineer at BNY?

Vice President, Data Management Engineer at BNY is a Principal / Manager level position.

How do I apply for Vice President, Data Management Engineer at BNY?

You can view the full description and apply for Vice President, Data Management Engineer at BNY on EchoJobs: https://echojobs.io/job/bny-vice-president-data-management-engineer-k8v4n.