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Vp Of Data Science Jobs in Utah (NOW HIRING)

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and ...

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and ...

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and ...

3form

Vice President OF Operations

West Valley City, UT · On-site

3form, Inc. is seeking a Vice President of Operations to lead manufacturing, supply chain, and operational performance. This key leadership role focuses on driving strategic initiatives that enhance ...

3form

Vice President OF Operations

West Valley City, UT · On-site

3form, Inc. is seeking a Vice President of Operations to lead manufacturing, supply chain, and operational performance. This key leadership role focuses on driving strategic initiatives that enhance ...

3form

Vice President of Operations

West Valley City, UT · On-site

Vice President of OperationsThe Vice President of Operations is a key member of the executive leadership team responsible for leading manufacturing, supply chain, quality, and operational performance ...

3form

Vice President of Operations

West Valley City, UT · On-site

Vice President of OperationsThe Vice President of Operations is a key member of the executive leadership team responsible for leading manufacturing, supply chain, quality, and operational performance ...

MRP

Vice President of Sales

Park City, UT · On-site

$240 - $260/hr

Vice President of Sales Full Time Park City, UT, US 11 days ago Requisition ID: 1092 Salary: $140,000.00 Annually About the Role MRP is seeking a dynamic and proven sales leader to serve as our Vice ...

JOURNEYTEAM

Vice President of Finance

Draper, UT · On-site

JourneyTeam is seeking a strategic, hands-on Vice President of Finance to serve as a key partner to ... Provide clear, data-driven perspectives and risk assessments to translate vision into practical ...

CW Group

VP of Sales

Centerville, UT · On-site

VP Of Sales The basic function of the VP of Sales is to lead the company's efforts to build an industry-leading sales organization, develop broker & mortgage relationships, drive sales & margin ...

New

Pattern

VP of International

Lehi, UT · On-site

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... We are looking for a VP of International to lead and evolve our international business strategy ...

Pattern

VP of International

Lehi, UT · On-site

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... What is a day in the life of the VP of International? * Oversee the international business as a ...

Journeyteam

Vice President of Finance

Draper, UT · On-site

$120 - $160/hr

... data solutions, all leveraging Microsoft's comprehensive security platform. What truly sets us ... In this role, the Vice President of Finance will: * Partner with the CEO to evaluate strategic ...

Pattern

VP of International

Lehi, UT · On-site

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... What is a day in the life of the VP of International? * Oversee the international business as a ...

Filevine

Vice President of Sales

Salt Lake City, UT

Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ... Filevine is known for powerful analytics, innovative organizational science, and a world-class user ...

Filevine

Vice President of Sales

Salt Lake City, UT · On-site

Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ... Filevine is known for powerful analytics, innovative organizational science, and a world-class user ...

Filevine

Vice President of Sales

Salt Lake City, UT · On-site

Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ... Filevine is known for powerful analytics, innovative organizational science, and a world-class user ...

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All JobsVp Of Data Science JobsVp Of Data Science Jobs in Utah

Vp Of Data Science information

See Utah salary details

$37.8K

$129.7K

$183K

How much do vp of data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for vp of data science in Utah is $129,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $151,600.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science is a senior executive responsible for leading an organization's data science strategy and teams. They oversee the development and implementation of data-driven solutions, manage data scientists and analysts, and collaborate with other business leaders to leverage data for strategic decision-making. Their role often includes setting the vision for data initiatives, ensuring the use of best practices in analytics and machine learning, and driving innovation through data. Additionally, they are responsible for aligning data science projects with overall business goals and ensuring measurable impact.

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 deep expertise in statistical modeling, machine learning, and data analytics, backed by an advanced degree in a quantitative field and substantial leadership experience. Familiarity with tools such as Python, R, SQL, cloud platforms, and data visualization systems, as well as experience with data governance frameworks, is typically required. Exceptional communication, strategic vision, and the ability to mentor and lead cross-functional teams are vital soft skills in this role. These skills ensure the effective translation of data-driven insights into business strategies and foster innovation and alignment within the organization.

What are some common challenges faced by a VP of Data Science when leading cross-functional teams?

A VP of Data Science often navigates challenges such as aligning data science initiatives with business goals, managing expectations across departments, and fostering effective communication between technical and non-technical stakeholders. Balancing the need for innovation with practical deliverables can be complex, especially when integrating data-driven insights into existing business processes. Successful VPs build strong relationships with product, engineering, and executive teams to ensure that data science projects deliver measurable value and support organizational growth.

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

AspectVp Of Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project execution, mentoring data scientists
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science and leadershipRelevant experience in data science, leadership skills, often a master's degree
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, project-focused, team management within data science teams

The Vp Of Data Science holds a senior leadership role focused on strategic direction and organizational impact, while a Data Science Manager concentrates on managing teams and executing projects. Both roles require strong technical backgrounds, but the Vp's scope is broader, involving high-level decision-making and cross-functional collaboration.

How much does a VP of data science make?

A VP of Data Science typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, industry, location, and experience, and the role requires strong leadership, advanced analytics skills, and experience with data tools and teams.

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

The most popular types of Of Data Science jobs in Utah are:

What are popular job titles related to Vp Of Data Science jobs in Utah?

For Vp Of Data Science jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Vp Of Data Science jobs in Utah look for?

The top searched job categories for Vp Of Data Science jobs in Utah are:

Vp Of Data Science jobs near you
Infographic showing various Vp Of Data Science job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,692 per year, or $62.4 per hour.

VP of Data Platform & Architecture

Pattern

Lehi, UT • On-site

Full-time

Re-posted 15 hours ago

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
What is a day in the life of a Vice President of Data Platform & Architecture?

  • Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and platform architecture.

  • Architect and scale distributed systems capable of processing petabyte-scale datasets and hundreds of billions of events.

  • Collaborate with cross-functional teams to drive a company-wide data vision and operating model aligned with corporate goals.

  • Obsess over the "developer experience," building self-service capabilities and abstractions that reduce time-to-delivery from days to minutes.

  • Manage the performance and cost efficiency of the platform, including transitions toward open-source technologies like Airflow, Debezium, Iceberg, Trino, and Spark.

  • Mentor international engineering teams, establishing high-level frameworks for technical excellence and operational rigor.

What will I need to thrive in this role?

  • Scale Systems Expertise: Deep experience architecting and operating large-scale distributed data platforms at a multi-petabyte scale on cloud services (AWS preferred).

  • Platform-First Mindset: Proven ability to build internal developer frameworks and abstractions rather than just managing pipelines.

  • Technical Depth: Strong background in software engineering and distributed systems design, specifically with batch and real-time processing.

  • Global Leadership: Experience leading and scaling international engineering organizations of 50+ professionals.

  • Open-Source Fluency: Familiarity with modern open-source stacks (e.g., Airflow, Debezium, Kafka, Spark, Clickhouse) and the trade-offs involved in platform architecture.

  • Data Fanaticism: A relentless focus on using data to improve system performance, cost-efficiency, and developer velocity.

What does high performance look like?

  • Project Execution: The data platform evolves into an open-source, scalable, self-service environment that is fully adopted by engineering teams across the company.

  • System Impact: Measurable improvements in system latency, throughput, and cost-efficiency for production-critical workloads.

  • Team Impact: Measurable increase in developer velocity across the organization, driven by the removal of architectural friction and support of AI tools.

What is my potential for career growth?

  • Direct influence on the technical trajectory of a global ecommerce leader.

  • Opportunity to lead a high-stakes transition from commercial to open-source platform architecture.

  • Executive-level networking and strategic partnership with the broader Engineering and Product leadership.

  • Role as the primary technical authority on scalability and distributed systems for the entire organization.

What does success look like in the first 30, 60, 90 days?

  • 30 Days: Complete a comprehensive audit of the current architecture, identify friction points in developer velocity, and build relationships with international team leads.

  • 60 Days: Refine the roadmap for platform abstractions and contribute to the transition plan for key open-source components.

  • 90 Days: Demonstrate early wins in system performance or cost-efficiency.

What is the team like?

  • This role reports directly to the Chief Technology Officer (CTO).

  • You will be joining a growing team of 50+ professionals across global locations.

  • In this role, you will collaborate closely with Directors of Data Engineering, SRE Leads, and Product Managers as well as other departments including Engineering, Security, and Sales.

  • This position is mentored by the CTO.

What is the hiring process?

  • Recruiter Interview

  • Technical/Architectural Deep Dive Interview

  • Interview with Engineering Leadership

  • Reference Checks

  • Executive Review

  • Offer

How can I stand out as an applicant?

  • The "Nice-to-Haves": Experience in building developer tools, familiarity with Clickhouse, and a history of contributing/managing significant open-source data projects

  • Stand-Out Tips:

  • Be prepared to discuss and articulate trade-offs across database types, streaming platforms, query engines, and orchestration tools — including commercial vs. open-source considerations at scale.

  • Highlight specific instances where you improved developer velocity by introducing platform abstractions.

  • Demonstrate your ability to lead and unify engineering teams across different time zones and cultures.

Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.