Vice President, Infrastructure Solution Engineer

Posted Yesterday
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Pune, Mahārāshtra, IND
In-Office
Expert/Leader
Fintech • Financial Services
The Role
Designs and operates scalable data-management services, APIs, connectors, event-driven integrations, metadata-as-code, data contracts, validation workflows, and CI/CD deployment patterns. The role automates governance, lineage, data quality, certification, schema-drift detection, and enterprise identifier mapping. It also applies AI and LLMs to metadata and data-quality workflows with human oversight. The position partners across engineering, product, architecture, governance, risk, and operations, supports production incidents, and leads teams delivering reusable capabilities across payments and asset-servicing domains.
Summary Generated by Built In

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: 

  • 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. 
  • 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. 
  • 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: 

  • 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. 
  • 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

Skills Required

  • Strong software, data-platform, or integration-engineering capabilities with a production mindset
  • Experience designing REST APIs, event-driven integrations, data pipelines, and distributed services
  • Hands-on experience 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 automated engineering controls
  • Practical experience applying LLMs or machine learning to structured enterprise workflows with human oversight
  • Significant experience in software engineering, data engineering, platform engineering, or enterprise integration
  • 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 with Product, Architecture, Data Governance, and platform-engineering teams
  • Bachelor's degree or equivalent professional experience
  • 10+ years of experience in payment, banking, or a related product-based company
  • Good working experience with public or private cloud concepts
  • Strong debugging skills and ability to support production incidents
  • 5+ years working in Agile/POD environments using Scrum or Kanban
  • 5+ years leading teams of eight or more
  • Experience with AI-based technologies such as Copilot or Windsurf
  • Awareness of AI, machine learning, and LLM technologies
  • Asset Servicing, Fund Accounting, Custody, Middle Office, Transfer Agency, or Capital Markets experience
  • Experience with enterprise metadata platforms, UCM or UPM, OpenAI APIs, graph technologies, orchestration frameworks, and event platforms
  • Experience participating in organization-level initiatives such as CSR programs and hackathons

BNY Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.

  • Healthcare Strength Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
  • Parental & Family Support Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
  • Retirement Support The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.

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The Company
HQ: New York, NY
41,739 Employees

What We Do

We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.

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