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Data Science Manager Jobs in Utah (NOW HIRING)

Communicate findings effectively across multiple levels of management * Other duties as assigned Qualifications: * Bachelors degree in Computer Science, Engineering, Statistics, Data Science or ...

... science, mathematical, predictive modeling and statistical methods, & knowledge ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

... science, mathematical, predictive modeling and statistical methods, & knowledge ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

... science, mathematical, predictive modeling and statistical methods, & knowledge ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Responsibilities : • Works closely with Application Engineering, Product Management, and ... • Master of Science degree or higher in the fields of Computer Science, Statistics, or ...

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and ... Work with architects, operations teams, and data scientists to define data requirements and ...

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

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Data Science Manager information

See Utah salary details

$28.2K

$88.4K

$156.6K

How much do data science manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data science manager in Utah is $88,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $114,300.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Utah? The most popular types of Data Science jobs in Utah are:
What are popular job titles related to Data Science Manager jobs in Utah? For Data Science Manager jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Science Manager jobs? Cities in Utah with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,438 per year, or $42.5 per hour.
Strategic Data Partnership Manager

Strategic Data Partnership Manager

Milliman

Salt Lake City, UT • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future. 
Company Overview:

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence.  Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.

Position Summary:

Healthcare runs on data that nobody has fully figured out how to unlock — claims, clinical, social determinants, lab, Rx, mortality, pricing. The organizations that solve the access, quality, and trust challenges around that data are the ones building the next generation of payer strategy, life sciences research, and provider performance solutions. 

We sit in the middle of that.

MedInsight's data licensing business is one of the fastest-growing, highest-margin businesses within Milliman. It's also at a stage where the person who joins now will help decide what it becomes. 

We're hiring a Strategic Data Partnership Manager to help drive that growth on both sides of the equation: the partners who supply our data and the customers who build on it. This role will be responsible for developing and managing strategic data partnerships, supporting customer success, and identifying new opportunities to expand our data ecosystem and revenue growth. This position is fully remote, while occasional travel may be required.
Primary Responsibilities:

You'll own the internal and external partnerships that determine what data we can offer and how effectively we can grow the business. Specifically, you will:  

  • Own and grow existing partnerships. Manage relationships with current data and technology partners — ensuring they remain productive, identifying opportunities for expansion, and renegotiating agreements when business needs evolve. These partnerships power our product; you’ll help keep that engine running. 
  • Drive customer success with data. Partner with data science and cross-functional teams to address customer questions, build a knowledge library of best practices and use cases, and advocate for product and engineering improvements that accelerate customer time-to-insight. 
  • Identify and develop new partnerships. Assess gaps in our data offerings (SDoH, clinical depth, novel real-world sources, etc.), evaluate potential partners, and manage the process end-to-end — from sourcing, and due diligence through commercial negotiations, legal review and integration. You'll work closely with product, engineering, legal, sales and other market-facing teams. 
  • Grow data licensing revenue. Build and scale partnership operations that expand the reach and value of our data offerings across life sciences, payers, providers, and research organizations.  

Preferred Qualifications / Requirements

  • Bachelor's degree or equivalent combination of education and experience.
  • 5+ years of experience working with analytical data products, data-driven solutions, or related client-facing roles.
  • Experience working with healthcare data and analytics solutions preferred; experience in similarly complex industries (e.g. financial services, advertising technology, or government data) will also be considered.
  • Proven experience managing external partner or client relationships with significant business impact, including revenue responsibility, contractual obligations, and executive-level engagement.
  • Ability to translate ambiguous business challenges into technical or analytical solutions and effectively communicate requirements between business and technical stakeholders.
  • Strong understanding of the U.S. healthcare ecosystem, including payers, providers, and life sciences organizations.
  • Knowledge of healthcare data sources and how they integrate, including claims, EHR, pharmacy (Rx), laboratory, and social determinants of health (SDoH) data.
  • Familiarity with healthcare data privacy and compliance concepts, including HIPAA, de-identification methodologies, and data governance frameworks.
  • Understanding of data licensing and commercial data management, including usage rights, licensing terms, volume-based pricing structures, downstream use cases, and audit/compliance requirements.
  • Excellent written and verbal communication skills with the ability to present complex concepts clearly to both technical and non-technical audiences.
  • Demonstrated ability to build credibility and influence across cross-functional teams, including engineering, analytics, sales, and executive leadership.


What Success Looks Like Here

We're looking for someone who is both intellectually curious and highly proactive. Individuals who thrive in this role often demonstrate the following characteristics:

  • Enjoy building processes and playbooks rather than simply following established ones.
  • View ambiguity and process gaps as opportunities to create structure and drive improvement.
  • Take initiative to find answers independently, whether that means reviewing contracts, learning technical concepts, researching data sources, or engaging directly with partners.
  • Balance conviction with adaptability—able to advocate for an idea while remaining open to changing direction when new information or data emerges.
  • Demonstrate strong ownership and accountability for outcomes

Location

This role can be located remotely within the United States. This job posting is expected to close on August 31, 2026.

Compensation

The overall salary range for this role is $78,800 - $145,130. For candidates residing in:

  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $90,620 - $145,130.
  • All other locations the salary range is $78,800 - $126,200.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity?

  • Join an innovative, high growth company with a solid industry track record.
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions.
  • Enjoy significant visibility in your work and be recognized for your wins.
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career.

Benefits

We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

  • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program – Recognizing employee contributions
  • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays – A minimum of 10 paid holidays per year
  • Family Building Benefits – Includes adoption and fertility assistance
  • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteriaLife Insurance & AD&D – 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability – Fully paid by Milliman

    Equal Opportunity

    All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

    #LI-SM1

    #LI-REMOTE


    Milliman logo

    About Milliman

    Sourced by ZipRecruiter

    Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

    Industry

    Business management consulting

    Company size

    1,001 - 5,000 Employees

    Headquarters location

    Seattle, WA, US

    Year founded

    1947