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Vp Data Jobs (NOW HIRING)

Trella Health

$173K - $223K/yr

We are seeking a visionary Vice President of Data Strategy to lead our enterprise data strategy and accelerate our growth as an AI-first healthcare organization. This executive will own the end-to ...

HarbourVest

Vice President, Data Engineering

Boston, MA · Hybrid

$245K - $275K/yr

HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model ...

LifeMD

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, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the ...

Chubb

VP, Data Science - Cohort Modeling

Jersey City, NJ · On-site

$163K - $237K/yr

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model ...

Wolfe, LLC

VP, Data Platform and Knowledge

Pittsburgh, PA · On-site

$200K - $226K/yr

VP, Data Platform and Knowledge Department: Data Employment Type: Full Time Location: Pittsburgh Onsite Compensation: $200,000 - $226,000 / year Description Wolfe is building the data and knowledge ...

Happen Bank

VP, Data Platforms

San Francisco, CA · On-site

The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank, ensuring secure, scalable, and reliable ...

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All JobsVp Data Jobs

Vp Data information

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$43.5K

$157.5K

$277.5K

How much do vp data jobs pay per year?

As of Jul 18, 2026, the average yearly pay for vp data in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a VP of Data, and why are they important?

To thrive as a VP of Data, you need advanced expertise in data analytics, data strategy, and leadership, typically supported by a degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop and Spark), cloud data solutions, and certifications in data management or analytics tools are highly valued. Strategic vision, strong communication, and the ability to lead cross-functional teams are standout soft skills. These competencies are crucial for aligning data initiatives with business objectives, ensuring data governance, and driving organizational growth.

What jobs in the US pay 300,000 a year?

For a VP Data or similar senior data leadership roles, annual salaries of $300,000 or more are common in large corporations, especially with extensive experience, advanced skills in data strategy, analytics, and management, and often include bonuses and stock options. Other high-paying roles in data science and analytics may include Chief Data Officer or Director of Data, typically requiring a strong track record and advanced certifications. Compensation varies based on industry, company size, and geographic location, with executive-level positions generally offering the highest salaries.

How does a VP of Data typically collaborate with other departments to drive business value?

A VP of Data works closely with leaders across departments such as product, marketing, finance, and IT to align data strategies with broader business goals. They facilitate cross-functional projects, ensuring that data insights inform decision-making and support company objectives. Regular communication and collaboration are essential, as the VP of Data often leads data governance initiatives and helps teams leverage analytics to solve real-world business challenges.

How much does a VP data engineer make?

A VP of Data Engineering typically earns between $150,000 and $250,000 annually, with compensation increasing based on experience, company size, and location. They often oversee data teams, manage data infrastructure, and require strong skills in data architecture, cloud platforms, and leadership. Bonuses and stock options may also be part of the total compensation package.

What jobs pay 200,000 a year in the USA?

For a VP of Data or similar senior data leadership roles, annual salaries of $200,000 or more are common, especially with extensive experience, advanced skills in data management, analytics, and leadership, and often require a master's degree or higher. Compensation can vary based on industry, company size, and location, with additional benefits such as bonuses and stock options frequently included.

What jobs pay 500,000 a year in the US?

In the US, executive roles such as Chief Executive Officers, Chief Financial Officers, and Chief Data Officers can earn $500,000 or more annually, especially in large corporations. High-level positions in finance, technology, and healthcare, along with successful entrepreneurs and specialized professionals with significant experience, may also reach this compensation level. These roles often require advanced degrees, extensive experience, and leadership responsibilities.

What does a VP of Data do?

A VP of Data is responsible for overseeing an organization's data strategy, management, and analytics initiatives. They lead teams of data scientists, analysts, and engineers to ensure data is collected, stored, and utilized effectively to drive business decisions. Their role often includes setting data governance policies, ensuring compliance with regulations, and collaborating with other departments to support company objectives. Additionally, they evaluate and implement new technologies to enhance data capabilities and provide strategic insights to senior leadership.
More about Vp Data jobs
What cities are hiring for Vp Data jobs? Cities with the most Vp Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Vp Data jobs? States with the most job openings for Vp Data jobs include:
What job categories do people searching Vp Data jobs look for? The top searched job categories for Vp Data jobs are:
Vp Data jobs near you
Infographic showing various Vp Data 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 $157,532 per year, or $75.7 per hour.
Vice President, Data Engineering

Vice President, Data Engineering

HarbourVest Partners, LLC

Boston, MA • On-site

$245K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.
HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.
This is a senior technical leadership role responsible for owning platform outcomes end-to-end-architecture, delivery, reliability, and adoption-while directly influencing how data enables investment decision-making across the firm. The VP will combine deep hands-on technical expertise with the ability to mentor senior engineers, scale teams, and deliver complex, high-impact systems in production.
Unlike pure management roles, this position requires active technical engagement in architecture, design decisions, and critical problem-solving, while building a team and operating model that delivers consistently at scale.
The ideal candidate is someone who is:
  • A senior technical leader who can operate strategically while staying hands-on in architecture, design, and critical problem-solving.
  • Accountable for end-to-end platform outcomes across architecture, delivery, reliability, adoption, and operational excellence.
  • Comfortable leading high-impact data engineering work that supports investment decision-making across the firm.
  • A strong mentor and team builder who raises the technical bar, develops senior engineers, and scales teams effectively.
  • Pragmatic in balancing speed, durability, governance, and production-quality expectations in complex data environments.

What you will do:
  • Own and evolve a production-grade, cloud-based data platform supporting deal sourcing, diligence, portfolio monitoring, reporting, and analytics.
  • Lead architecture and design decisions across modern data stacks, including Snowflake, DBT, orchestration tools, Azure, and related cloud-native capabilities.
  • Ensure data engineering capabilities are tightly integrated with application data needs, including trusted data supply, clear data contracts, reliable pipelines, and production-ready consumption patterns.
  • Ensure data quality, integrity, lineage, observability, SLAs, scalability, reliability, and performance across critical datasets and pipelines.
  • Build, lead, mentor, and scale a high-performing data engineering organization with strong ownership, accountability, and continuous improvement.
  • Drive multi-functional delivery with investment, finance, and operational partners, translating business needs into trusted, usable data products.

What you bring:
  • Deep experience designing, building, and operating modern, cloud data platforms at scale, including batch and near real-time data processing.
  • Strong proficiency with SQL, Python, Snowflake or equivalent cloud warehouses, DBT, pipeline orchestration tools such as Dagster or Airflow, and Azure data tooling.
  • Expertise in data modeling, ETL/ELT frameworks, data quality, testing, observability, performance tuning, and cost optimization.
  • Proven track record leading data engineering teams, mentoring senior engineers, and delivering data-centric platforms end-to-end in production.

Education Preferred
  • Bachelor of Science (B.S) or equivalent in Computer Science
  • Master of Science (M.S) or equivalent in Computer Science

Experience
  • 10+ Years of Data Engineering and software delivery experience preferred
  • 5+ Years of Technical Project Leadership experience, partnering directly with product, application, and operations teams

#LI-Hybrid
Base Salary Range
$245,000.00 - $275,000.00
This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.

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