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Vice President Data Engineer Jobs (NOW HIRING)

PFSbrands is seeking a Vice President of Data to unify the company's data ecosystems across its ... Required : • 8+ years of experience in data, analytics, or data engineering, with management and ...

VP, Data & Analytics

Manhattan, NY · On-site

$198K - $255K/yr

About the role LifeMD is seeking a visionary and execution-focused Vice President of Data ... This is a hands-on Data engineering leadership role for someone who has successfully taken data and ...

You will partner with product, engineering, clinical, and commercial leadership to ensure data and ... Chief Technology Officer As the VP of Data Strategy at Trella, you will lead: Strategy & Vision

VP, Data & Analytics

Manhattan, NY · On-site

$198K - $255K/yr

About the role LifeMD is seeking a visionary and execution-focused Vice President of Data ... This is a hands-on Data engineering leadership role for someone who has successfully taken data and ...

VP, Data & Analytics

New York, NY · Remote

$196K - $253K/yr

About the role LifeMD is seeking a visionary and execution-focused Vice President of Data ... This is a hands-on Data engineering leadership role for someone who has successfully taken data and ...

Vice President, Data Privacy 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 ...

A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ... Lead a team of Data Engineers and Data Scientists to execute analytical projects and communicate ...

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Vice President Data Engineer information

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$112.5K

$215.6K

$398.5K

How much do vice president data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for vice president data engineer in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Data Engineer vs Data Engineering Manager?

AspectVice President Data EngineerData Engineering Manager
CredentialsBachelor's/Master's in CS, Data Science, or related; extensive experienceBachelor's/Master's in CS or related; several years of data engineering experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationTeam management, project oversight, technical implementation
Industry UsageUsed in large organizations, tech companies, and enterprisesCommon in mid to large companies, tech firms, and startups

The Vice President Data Engineer focuses on strategic leadership, setting data engineering vision, and aligning data initiatives with business goals. In contrast, the Data Engineering Manager handles day-to-day team management, project execution, and technical oversight. Both roles require strong technical backgrounds, but the VP role emphasizes strategic influence and executive collaboration.

What cities are hiring for Vice President Data Engineer jobs? Cities with the most Vice President Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Vice President Data Engineer jobs? States with the most job openings for Vice President Data Engineer jobs include:
Infographic showing various Vice President Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.

Vice President, Data Product Strategy

Forge Global

San Francisco, CA

$250K - $270K/yr

Other

Posted 14 days ago


Job description

The Role: 

Forge is seeking a Vice President, Data Product Strategy to design and execute the company's data vision across its marketplace, data products, and investment solutions capabilities. This leader will sit at the intersection of product innovation and commercial strategy, driving the evolution of Forge's data assets into scalable, high-value products and actionable insights.

This VP will play a critical role in commercializing and driving adoption of proprietary private market data, improving client intelligence, and positioning Forge as the trusted data authority in private markets. 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Key Responsibilities:

Strategy & Vision

  • Define and lead Forge's enterprise-wide data strategy aligned with company growth objectives. 
  • Identify opportunities to transform proprietary data into differentiated, revenue-generating products. 
  • Establish Forge as a leader in private market pricing, benchmarks, analytics, content and insights. 

ProductInnovation & Development 

  • Partner with Product and Engineering to design and launch data-driven products (e.g., private company evaluated prices, private market indices, valuation tools, market intelligence platforms, contents and insights). 
  • Drive roadmap prioritization for data offerings, balancing client demand, scalability, and monetization. 
  • Collaborate with Sales and Marketing to package and position data products effectively. 
  • Partner with Engineering and Data teams to scale data pipelines, architecture, and tooling. 

Commercialization & Adoption

  • Develop and execute strategies to commercialize data assets, including subscriptions, APIs, and enterprise licensing. 
  • Support go-to-market efforts, including pricing models, client segmentation, sales enablement, partnerships and alliances. 
  • Partner with internal and external clients to understand data needs and refine offerings. 

Analytics & Insights

  • Oversee advanced analytics initiatives to generate insights on market trends, liquidity, pricing, and investor behavior. 
  • Lead development of thought leadership content leveraging Forge's unique dataset. 

Cross-Functional Leadership

  • Collaborate with Product, Engineering, Sales, Research, and Go-to-Market teams. 
  • Serve as a senior thought partner to executive leadership on data-driven strategy. 
  • Build and lead a high-performing team across data product, analytics, and strategy functions. 

Qualifications:

Experience 

  • 10+ years in data strategy, data products, analytics, or related roles. 
  • Strong experience in financial services, capital markets, or fintech (private markets experience highly preferred). 
  • Proven track record of building and commercializing data products or platforms. 
  • Experience working with retail, advisory, and institutional investors and understanding their data needs 

Skills & Expertise 

  • Strong analytical background with ability to translate data into strategic insights. 
  • Familiarity with data commercialization models. 
  • Excellent stakeholder management and executive communication skills 

Leadership 

  • Demonstrated ability to lead cross-functional initiatives in a fast-paced environment 
  • Experience building and scaling teams 
  • Strategic thinker with a hands-on, execution-oriented mindset 

Preferred Qualifications 

  • Experience with alternative assets or private market datasets (e.g., venture, pre-IPO equity, secondary markets). 
  • Background in building pricing models, indices, or financial benchmarks. 
  • Advanced degree in business, finance, data science, or related field. 

For residents of San Francisco, CA the annual base salary range for this role is $250,000 - $270,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors.