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Vp Data Science Jobs in Seattle, WA (NOW HIRING)

This role will build on the strong AI and Data Science foundation already in place (based primarily ... The VP of AI will serve as a key representative of Pacvue's AI strategy with customers, agencies ...

VP, AI

Bellevue, WA ยท On-site

$226.30 - $260/hr

As Vice President of AI, you will lead the development and execution of AI-powered capabilities ... You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ...

As Vice President of AI, you will lead the development and execution of AI-powered capabilities ... You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ...

As Vice President of AI, you will lead the development and execution of AI-powered capabilities ... You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ...

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... VP and Director-level leaders through data-driven narratives, technical deep dives, and business ...

VP, AI

Bellevue, WA ยท On-site

As Vice President of AI, you will lead the development and execution of AI-powered capabilities ... You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ...

... science and delivery of life-enhancing therapies to more patients. We work across a diverse range ... This is a VP-level role with real organizational weight. The hire will report into senior ...

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... VP and Director-level leaders through data-driven narratives, technical deep dives, and business ...

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Showing results 1-20

Vp Data Science information

See Seattle, WA salary details

$47.2K

$162.1K

$228.7K

How much do vp data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for vp data science in Seattle, WA is $162,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,900.00 and $189,500.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Seattle, WA? The most popular types of Data Science jobs in Seattle, WA are:
What are popular job titles related to Vp Data Science jobs in Seattle, WA? For Vp Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Vp Data Science jobs? Cities near Seattle, WA with the most Vp Data Science job openings:
Infographic showing various Vp Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,124 per year, or $77.9 per hour.

Vice President, Software Engineering - Agentic AI and Data Engineering Platform

Duck Creek Technologies LLC.

Seattle, WA โ€ข On-site

$150 - $250/hr

Other

Posted 4 days ago


Job description

The Vice President, Data & Artificial Intelligence Engineering provides executive leadership for Duck Creek Technologiesโ€™ enterprise data, artificial intelligence (AI), and generative AI (GenAI) capabilities. This role is responsible for defining and executing the strategy for AI engineering, machine learning, and enterprise data platforms to support innovation across Duck Creekโ€™s SaaS products and internal operations. Reporting at the Vice President level, this role leads global teams responsible for AI engineering, data platforms, and analytics capabilities. The Vice President partners with Product, Engineering, Cloud, Security, and Enterprise Architecture leaders to integrate AI and data-driven capabilities across the companyโ€™s technology ecosystem. The role ensures responsible AI practices, strong data governance, and scalable platform capabilities while advancing Duck Creekโ€™s enterprise AI transformation. Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems. As such, Duck Creek is committed to providing equal opportunity to all employees and applicants โ€“ to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status. #J-18808-Ljbffr