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.
New York, NY, United States
Actively hiring, first seen by us 2 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s 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.
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.
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.
- Strong analytical, communication, execution, and change leadership skills. - Bachelor’s degree or equivalent professional experience in a relevant field. Preferred Qualifications
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
Day 2
Early. Similar jobs usually come down between day 7 and day 53.
At BNY Mellon, jobs usually come down by about day 26.
From 7,871 similar postings that came down, and 90 of BNY Mellon’s. Coming down is not always a hire.
65 open jobs
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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.
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.
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
Track and measure business outcomes, adoption, and value realization from enterprise data investments.
Required Qualifications
Bachelor’s degree or equivalent professional experience in a relevant field.
Preferred Qualifications
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New York, NY, United States
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