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Vice President Data Science Jobs in Washington (NOW HIRING)

... data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

... data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

... data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles ... Our new VP will serve as primary business partner to the NA leader and own the financial narrative ...

Powered by data, we bring world-class experts in each of our service areas to conceive, develop ... Our team is seeking a Vice President or Senior Vice President to join our Data & Analytics team in ...

Powered by data, we bring world-class experts in each of our service areas to conceive, develop ... Our team is seeking a Vice President or Senior Vice President to join our Data & Analytics team in ...

VP of Operations

Chantilly, VA · On-site

$180K - $230K/yr

As the VP of Operations for our colocation data centers, you will play a pivotal role in overseeing ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

VP of Operations

Ashburn, VA · On-site

$138 - $230/hr

Salary Range: $180,000.00 To $230,000.00 Annually As the VP of Operations for our colocation data ... Bachelor's degree in computer science, Engineering, Business Administration, or other related field ...

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Vice President Data Science information

See Washington salary details

$49.3K

$178.4K

$314.3K

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

As of Sep 5, 2026, the average yearly pay for vice president data science in Washington is $178,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $215,200.00 per year, depending on experience, location, and employer.

What does a vice president of data science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

What are the most commonly searched types of Data Science jobs in Washington?

The most popular types of Data Science jobs in Washington are:

What are popular job titles related to Vice President Data Science jobs in Washington?

For Vice President Data Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Vice President Data Science jobs in Washington look for?

The top searched job categories for Vice President Data Science jobs in Washington are:

What cities in Washington are hiring for Vice President Data Science jobs?

Cities in Washington with the most Vice President Data Science job openings:

Infographic showing various Vice President Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $178,420 per year, or $85.8 per hour.

Vice President, Data Management Platforms (Product Development)

MasterCard

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Key responsibilities

  • Own the business product strategy, roadmap, and measurable outcomes for Mastercard's data management platform capabilities.

  • Partner with Technology to translate platform strategy into scalable implementation plans, integrations, release priorities, controls, and operational support models.

  • Lead the product direction for the data catalog and governance platform, including connectivity expansion, metadata publication, lineage, classification, and marketplace integration.


Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Vice President, Data Management Platforms (Product Development)Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and
outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
The Data Governance and Enablement team is looking for a Vice President, Data Management Platforms to lead business product management for Mastercard's enterprise metadata, catalog, governance, lineage, marketplace, and usage/observability platform capabilities. This role is accountable for the product strategy, roadmap, adoption priorities, and measurable business outcomes for platforms such as Atlan and related metadata ecosystem capabilities.
The ideal candidate is a strong enterprise product leader who can partner with Technology to turn strategy into scalable platform capabilities, while serving Data Governance teams and data user communities as key internal customers. This role will help make trusted metadata available through an enterprise context layer so users, platforms, data products, analytics, and AI use cases can better discover, understand, govern, and reuse Mastercard data.
Role
In this enterprise product leadership position, you will:
Own the business product strategy, roadmap, and measurable outcomes for Mastercard's data management platform capabilities, including metadata, catalog, lineage, marketplace, governance, and usage/observability capabilities.
Partner with Technology to translate platform strategy into scalable implementation plans, integrations, release priorities, controls, and operational support models.
Lead the product direction for the data catalog and governance platform, and related metadata ecosystem capabilities, including connectivity expansion, metadata publication, lineage, classification, data product and marketplace integration, and transition from legacy cataloging capabilities where appropriate.
Partner with the Platform Onboarding team to scale adoption, onboarding, training, communications, user readiness, and operational engagement across data stewards, data product owners, engineering teams, analysts, data scientists, and AI/platform teams.
Serve Data Governance teams and data users communities as key internal customers, translating governance standards, stewardship needs, data product requirements, marketplace needs, and certification expectations into practical platform capabilities.
Advance Mastercard's enterprise metadata context layer by making trusted definitions, ownership, lineage, usage, certification, and governance signals available to users, platforms, analytics, and AI use cases.
Build and lead a high-performing team responsible for platform product management, stakeholder engagement, prioritization, adoption measurement, and continuous improvement across Mastercard's data knowledge ecosystem.
All About You
The ideal candidate for this position should:
Extensive experience with data catalog and data governance platforms
Understand metadata, data cataloging, lineage, governance workflows, data products, marketplace concepts, usage/observability signals, or similar enterprise data management capabilities.
Have advanced business product management expertise for enterprise platforms, including strategy, roadmap ownership, stakeholder alignment, prioritization, adoption, implementation partnership, and lifecycle management.
Be able to work effectively with Technology teams to turn business, governance, and platform needs into implementable capabilities and sustainable operating models.
Operate effectively across Data Governance, Technology, Privacy, Security, Product, and regional stakeholders, balancing usability, control, scalability, and auditability.
Communicate clearly with senior leaders and cross-functional partners, including the ability to explain metadata, governance, platform, and context-layer concepts in business terms.
Develop talent, set clear objectives, and create an environment where teams can deliver consistently across complex enterprise platform and governance programs.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:
Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach; and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

O'Fallon, Missouri: $204,000 - $326,000 USDArlington, Virginia: $235,000 - $375,000 USDPurchase, New York: $235,000 - $375,000 USD