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Vp Analytics Jobs in Washington (NOW HIRING)

Civis Analytics

Vice President, Engineering

Washington, DC · On-site

$200 - $350/hr

Civis Analytics is hiring a Vice President, Engineering to lead the company's technical vision, architecture, and execution as we expand our platform and launch standalone AI products. Reporting to ...

Blend360

VP, Finance

Columbia, MD · On-site

Our new VP will serve as primary business partner to the NA leader and own the financial narrative ... Drive profitability improvements by analyzing client margins, identifying compression risks ...

Blend360

VP, Finance

Columbia, MD

Our new VP will serve as primary business partner to the NA leader and own the financial narrative ... Drive profitability improvements by analyzing client margins, identifying compression risks ...

Blend360

VP, Finance

Columbia, MD · On-site +1

Our new VP will serve as primary business partner to the NA leader and own the financial narrative ... Drive profitability improvements by analyzing client margins, identifying compression risks ...

Carlyle

Vice President, SEC Reporting

Washington, DC · On-site

The Vice President partners closely with the Consolidations team, FP&A, Investor Relations, and internal and external legal counsel to oversee the preparation of 10-Qs, 10-Ks, 8-Ks, earnings ...

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All JobsVp Analytics JobsVp Analytics Jobs in Washington

Vp Analytics information

See Washington salary details

$49.3K

$178.4K

$314.3K

How much do vp analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vp analytics 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 VP of Analytics do?

A VP of Analytics leads an organization’s data analytics strategy, overseeing teams responsible for gathering, interpreting, and leveraging data to drive business decisions. They collaborate with other executives to identify data-driven opportunities, ensure data quality, and implement advanced analytics solutions. Their role often includes managing analytics platforms, developing key metrics, and ensuring insights align with business objectives. Additionally, they mentor analytics teams and foster a data-driven culture across the company.

What are some common challenges faced by a VP of Analytics when aligning data strategy with business objectives?

A VP of Analytics often faces the challenge of bridging the gap between complex data insights and the strategic goals of various business units. Ensuring data quality and integrity, fostering a data-driven culture across departments, and translating analytics into actionable business recommendations are frequent hurdles. Additionally, balancing long-term analytics innovation with immediate business needs and managing cross-functional stakeholders can require strong communication and leadership skills. Successful VPs create clear processes for prioritizing analytics projects and continuously demonstrate the business value of data-driven decision-making.

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

To thrive as a VP of Analytics, you need advanced expertise in data analysis, statistical modeling, and business strategy, typically supported by a degree in a quantitative field and significant leadership experience. Familiarity with analytics platforms (such as SQL, Python, R, Tableau, or Power BI) and data management systems is expected, along with experience in implementing scalable analytics solutions. Strong communication, strategic thinking, and team leadership are crucial soft skills that set top candidates apart. These skills ensure that analytics initiatives drive business growth, inform executive decision-making, and foster a data-driven culture within the organization.

What is the difference between Vp Analytics vs Data Analyst?

AspectVp AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related fields; often with leadership experienceBachelor's degree in Data Science, Statistics, or related fields; entry to mid-level
Work EnvironmentStrategic leadership, cross-department collaboration, executive reportingData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, tech, finance sectors for decision-making leadershipCommon across industries for data-driven insights at operational levels

The Vp Analytics typically holds a strategic leadership role, overseeing analytics teams and influencing company decisions, while Data Analysts focus on analyzing data sets to generate reports and insights. Both roles require strong analytical skills, but the Vp Analytics emphasizes leadership and strategic planning, whereas Data Analysts concentrate on data processing and reporting.

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

The most popular types of Analytics jobs in Washington are:

What cities in Washington are hiring for Vp Analytics jobs?

Cities in Washington with the most Vp Analytics job openings:

Vp Analytics jobs near you
Infographic showing various Vp Analytics job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $178,420 per year, or $85.8 per hour.

Vice President, Engineering

Civis Analytics

Washington, DC • On-site

$200 - $350/hr

Other

Posted 23 days ago

Job description

Please note that candidates must currently live in the following states: DC, Illinois, Maryland, New York or Virginia.

Civis Analytics is hiring a Vice President, Engineering to lead the company’s technical vision, architecture, and execution as we expand our platform and launch standalone AI products. Reporting to the CEO, the VP will play a critical player–coach role: setting long-term technical direction while staying close to systems, decisions, and delivery.

This role owns the cohesion between Civis’s core data platform and its growing AI product portfolio. As we scale our AI capabilities, the VP will ensure that our existing data infrastructure and IP remain strong, reliable, and extensible—while guiding teams toward an AI-centric development and product environment.

What You’ll Do
  • Be the tech voice within our senior leadership team and guide decision-making and business planning as we scale;
  • Own and drive Civis’s technical roadmap across both the Civis Platform and emerging AI products, ensuring alignment, cohesion, and long‑term scalability
  • Lead architecture decisions across platform, data, and AI systems, balancing speed, reliability, and maintainability
  • Act as a player–coach: stay close to systems, technical tradeoffs, and delivery while empowering teams to execute independently. Guide the organization toward an AI-centric product and development environment, including tooling, workflows, and engineering practices
  • Lead and integrate a cross‑functional team spanning product, engineering, data, and AI, while serving as a visible, hands‑on leader and magnet for technical talent as the organization grows (approximately 15 people initially).
  • Provide thought leadership within the company; research and evaluate cutting‑edge practices and enabling technologies for internal adoption; assess potential partnerships and acquisitions;
  • Be the public face of Civis technology and data science; network, evangelize, and form relationships with press and peer organizations; participate in high‑level sales meetings; and give back to the community.
What We’re Looking For (Minimum Qualifications)
  • Practical, real‑world experience working with AI systems and understanding their application in production environments - beyond theory or research
  • Significant experience leading software, platform, or data engineering organizations in a hands‑on leadership capacity
  • Demonstrated ability to own and evolve technical roadmaps across multiple product lines or platforms
  • Experience making architectural decisions for complex, data‑driven systems
  • Comfort getting into the technical weeds when needed to unblock teams or resolve critical issues
  • Proven ability to hire, develop, and manage high‑performing technical teams
  • Clear, direct communication style and comfort making and standing behind difficult technical decisions
  • Familiarity with building and scaling AI products in production
  • Hands‑on experience with modern cloud platforms and distributed systems
  • Authorization to work in the United States
You Should Apply If
  • You want to actively shape and build AI products, not just talk about them
  • You enjoy owning technical strategy while staying close to execution and delivery
  • You’re comfortable operating in ambiguity and making decisions with imperfect information
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