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Senior Vice President, Data Transformation & Product Strategy

Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Define and execute the product vision, strategy, roadmap, prioritized capabilities, requirements, and measurable outcomes for enterprise data solutions.

  • Own scope, sequencing, dependencies, risks, release readiness, adoption, and stakeholder accountability across strategic initiatives.

  • Drive adoption of enterprise data capabilities by embedding authoritative data into critical applications and workflows.

From the employer’s posting
Key Responsibilities Define and execute the product vision, strategy, roadmap, prioritized capabilities, requirements, and measurable outcomes for enterprise data solutions. Productize reusable data services, onboarding workflows, governance controls, and analytics- and AI-ready capabilities.
Orchestrate cross-functional delivery across Product, Engineering, Architecture, Operations, Governance, Risk, and business stakeholders. Own scope, sequencing, dependencies, risks, release readiness, adoption, and stakeholder accountability across strategic initiatives. Identify and deliver opportunities to eliminate duplication, simplify processes, expand automation, and improve scalability and operational efficiency.
Identify and deliver opportunities to eliminate duplication, simplify processes, expand automation, and improve scalability and operational efficiency. Drive adoption of enterprise data capabilities by embedding authoritative data into critical applications and workflows. Establish and reinforce common standards, reusable patterns, and platform commitments that support enterprise-wide consistency and scale.

What you’ll bring

All qualifications

Core experience

  • 10+ years of experience in product management, data product strategy, enterprise data transformation, technology delivery, or a related discipline.
  • Proven ability to lead cross-functional delivery, navigate competing priorities, and influence senior stakeholders.
  • Bachelor’s degree or equivalent professional experience in a relevant field.

Preferred experience

  • Experience in financial services, onboarding platforms, client data, master or reference data, analytics, automation, or AI enablement.
  • Experience with product operating models, Agile or SAFe delivery, KPI/OKR design, adoption measurement, and enterprise controls.
Qualification wording
10+ years of experience in product management, data product strategy, enterprise data transformation, technology delivery, or a related discipline.
Proven ability to lead cross-functional delivery, navigate competing priorities, and influence senior stakeholders.
Bachelor’s degree or equivalent professional experience in a relevant field.
Experience in financial services, onboarding platforms, client data, master or reference data, analytics, automation, or AI enablement.
Experience with product operating models, Agile or SAFe delivery, KPI/OKR design, adoption measurement, and enterprise controls.
Education & alternatives
- Strong analytical, communication, execution, and change leadership skills. - Bachelor’s degree or equivalent professional experience in a relevant field. Preferred Qualifications
Apply at BNY Mellon

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 53.

From 7,839 similar postings that came down. Coming down is not always a hire.

BNY Mellon is hiring

65 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

We are seeking a Senior Vice President, Data Transformation & Product Strategy for our Data Solutions and Services Platform. This role is located in our Lake Mary, FL offices. 

In this role, you will help lead the firm’s transformation of fragmented onboarding workflows into a shared enterprise data platform that provides a connected view of client and related information and enables consistent data flow across business origination, onboarding, account setup, billing, and downstream applications.

 

This role will define and execute the enterprise vision to transform Enterprise Data Master from a central repository into BNY’s operational backbone for client, account, and relationship data, with Enterprise Onboarding serving as the strategic Single Front Door. The leader will drive the strategic capabilities, product architecture, investment roadmap, solutioning and adoption mechanisms required to embed authoritative data into the applications and end-to-end workflows that power the firm’s decisions and operations.

 

By establishing common standards, scalable consumption patterns, clear platform commitments, and outcome-based measures, this role will help retire fragmented local views and build a reusable master data ecosystem that enhances client experience, strengthens operational resilience and control effectiveness, improves productivity, and enables analytics, automation, AI readiness, and stronger returns on BNY’s enterprise data investments.

 

Key Responsibilities

  • Define and execute the product vision, strategy, roadmap, prioritized capabilities, requirements, and measurable outcomes for enterprise data solutions.
  • Productize reusable data services, onboarding workflows, governance controls, and analytics- and AI-ready capabilities.
  • Orchestrate cross-functional delivery across Product, Engineering, Architecture, Operations, Governance, Risk, and business stakeholders.
  • Own scope, sequencing, dependencies, risks, release readiness, adoption, and stakeholder accountability across strategic initiatives.
  • Identify and deliver opportunities to eliminate duplication, simplify processes, expand automation, and improve scalability and operational efficiency.
  • Drive adoption of enterprise data capabilities by embedding authoritative data into critical applications and workflows.
  • Establish and reinforce common standards, reusable patterns, and platform commitments that support enterprise-wide consistency and scale.
  • Partner with stakeholders to ensure product strategy aligns with business priorities, operational needs, control requirements, and long-term enterprise value creation.
  • Track and measure business outcomes, adoption, and value realization from enterprise data investments.

     

Required Qualifications

  • 10+ years of experience in product management, data product strategy, enterprise data transformation, technology delivery, or a related discipline.
  • Demonstrated success translating complex business and data needs into product roadmaps, requirements, operating models, and implementation plans.
  • Strong command of enterprise data platforms, integration, governance, quality, access, and reusable data products.
  • Proven ability to lead cross-functional delivery, navigate competing priorities, and influence senior stakeholders.
  • Strong analytical, communication, execution, and change leadership skills.
  • Bachelor’s degree or equivalent professional experience in a relevant field.

     

Preferred Qualifications

  • Experience in financial services, onboarding platforms, client data, master or reference data, analytics, automation, or AI enablement.
  • Experience with product operating models, Agile or SAFe delivery, KPI/OKR design, adoption measurement, and enterprise controls.
  • Working knowledge of data architecture, APIs, integration patterns, analytics platforms, and modern data technologies.
Source details

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New York, NY, United States

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