Vice President, Data Management Engineer

BNY; Pune District; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

BNY is seeking a Vice President, Data Management Engineer in Pune to lead mesh integration, governance automation and AI-enabled data operations. You will design REST APIs, implement lineage and metadata controls, and drive scalable, production-ready data platforms.

You will collaborate with Product, Architecture, Governance and Operations teams to deliver secure, observable data product ecosystems with enterprise impact.

Qualifications

• Design REST APIs and event-driven integrations for data products.
• Experience with data governance, metadata and schema validation.
• Hands-on with Snowflake, Python, SQL and CI/CD pipelines.

Responsibilities

• Mesh integration and onboarding of data products with reusable APIs and pipelines.
• Automate governance controls, validation, lineage, and certifications.
• Apply AI to metadata discovery, enrichment and data-quality rule suggestions.
• Collaborate across Product, Architecture, Governance, Risk and Ops teams.
• Lead secure, scalable deployment patterns with testing and release controls.

Skills

REST APIs

Event-driven integrations

Python

SQL

Snowflake

Git

CI/CD

Data governance

Metadata catalogs

LLMs / AI in workflows

Education

Bachelor's degree or equivalent

Tools

OpenAI APIs

Graph technologies

Orchestration frameworks

UCM / UPM

Job description

Job Description

We’re seeking a future team member for the role of

Job Description

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 is all about. Join us and be part of something extraordinary.

About The Team

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.