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Director Data Scientist Jobs in Utah (NOW HIRING)

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ... Conducts work assignments as directed. Closely supervised with little latitude for independent ...

Data Architecture Lead

Washington, UT · On-site

$155 - $165/hr

Director, Data Architecture**Location:** United States (Remote)Interested applicants must reside in ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

New

Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This ... days are directed by their agency or manager. Our objective is to increase this requirement ...

Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This ... days are directed by their agency or manager. Our objective is to increase this requirement ...

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Showing results 1-20

Director Data Scientist information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do director data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for director data scientist in Utah is $111,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $123,800.00 per year, depending on experience, location, and employer.

What does a Director Data Scientist do?

A Director Data Scientist leads and manages a team of data scientists, setting the strategic direction for data-driven projects within an organization. They oversee the development and implementation of advanced analytics, machine learning models, and data solutions to solve complex business problems. In addition to technical expertise, they collaborate with other departments, mentor staff, and communicate insights to senior leadership to drive decision making. Their role bridges the gap between technical teams and business goals, ensuring that data initiatives align with organizational objectives.

How does a Director Data Scientist balance hands-on technical work with leadership responsibilities?

As a Director Data Scientist, you can expect to split your time between strategic leadership and hands-on data science work. While you will lead and mentor teams, set vision, and drive cross-functional initiatives, you’ll also stay involved in high-level modeling, code review, and project architecture to ensure technical excellence. The proportion of hands-on work versus leadership duties often depends on company size and project needs, but maintaining technical involvement is key to effective leadership and team credibility. This balance allows you to guide your team with up-to-date expertise while also influencing organizational data strategy.

What are the key skills and qualifications needed to thrive as a Director Data Scientist?

To thrive as a Director Data Scientist, you need advanced expertise in statistical modeling, machine learning, and data analysis, typically supported by a graduate degree in a quantitative field and extensive industry experience. Mastery of programming languages like Python or R, experience with big data platforms such as Hadoop or Spark, and familiarity with cloud-based data solutions are essential, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling them to manage teams and translate complex insights for stakeholders. These skills are crucial for driving data-driven decision-making and ensuring the successful implementation of analytics initiatives across the organization.

What is the difference between Director Data Scientist vs Senior Data Scientist?

AspectDirector Data ScientistSenior Data Scientist
ResponsibilitiesOversees data science teams, sets strategic goals, manages projects, and aligns data initiatives with business objectives.Develops advanced models, analyzes complex data, and provides insights; focuses on technical expertise and project execution.
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; often requires 8+ years experience; leadership skills valued.Bachelor's or Master's in relevant field; typically 5+ years experience; strong technical skills essential.
Work EnvironmentLeadership roles in corporate or enterprise settings, collaborating with cross-functional teams.Hands-on technical environment, often within analytics or data science teams.

The main difference between a Director Data Scientist and a Senior Data Scientist lies in scope and leadership. The Director oversees teams and strategic initiatives, while the Senior Data Scientist focuses on technical expertise and project delivery. Both roles require strong data science skills, but the director position emphasizes management and strategic planning.

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

The most popular types of Data Scientist jobs in Utah are:

What cities in Utah are hiring for Director Data Scientist jobs?

Cities in Utah with the most Director Data Scientist job openings:

Infographic showing various Director Data Scientist 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 $111,737 per year, or $53.7 per hour.

Director, Data Science

CardWorks

South Jordan, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


CardWorks rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 21 rated payment service providers


Job description

Become an everyday champion - and build a career where your impact fuels financial progress.


What We Do

CardWorks Financial Group is a diversified financial services platform building ethical solutions across credit, lending, and the full customer lifecycle. Through our family of companies, CardWorks Financial Group tackles the complex challenges that larger financial institutions leave behind. We're embedded throughout the credit card ecosystem as a lender, servicer, and merchant acquirer.

Who We Are

  • Merrick Bank: The bank that builds
  • CardWorks Servicing: One partner, total performance
  • Carson Smithfield: Resolution with respect

With nearly 40 years of operating history, our track record is solid: disciplined in downturns and built to accelerate in recovery. The CardWorks Financial Group companies take precise approach in complex markets, as a top three non-prime focused general purpose card issuer and a top fifteen U.S. merchant acquirer.

Our team tackles the industry's most complex credit and payment challenges. And we believe that excellent work starts with a team that feels supported, respected, and empowered to grow.

CardWorks Servicing, LLC provides end-to end operational servicing functions for credit cards, secured cards, and installment loans. We service consumer and small business loans across the credit spectrum and offers backup servicing and due diligence services to capital providers and trustees.


Founded in 1997, Merrick Bank is an FDIC-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers, offering credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses.

Carson Smithfield, LLC provides a variety of post-charge-off debt recovery services, including digital self-service, IVR, live agent, and external agency management.

Position Summary and Role Impact:

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and unstructured data into actionable business intelligence, competitive insights, and strategic recommendations. Sitting at the intersection of analytics, risk, strategy, technology, and market intelligence, this role leads the development of enterprise reporting, competitor benchmarking, AI-driven intelligence solutions, and executive decision support capabilities across CardWorks Financial Group.

This position combines advanced analytics, machine learning, Generative AI, competitive intelligence, and industry research to identify growth opportunities, anticipate market movements, evaluate competitor performance, monitor emerging risks, and support strategic decision-making. The role serves as a trusted advisor to executive leadership, business unit leaders, risk management, regulators, auditors, and board stakeholders by delivering data-driven insights that influence business strategy, portfolio performance, and market positioning.

The successful candidate will champion an AI-first and market-first mindset, leveraging machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered automation to accelerate intelligence gathering, uncover hidden opportunities, and create sustainable competitive advantage. This leader will also drive the build-out of enterprise analytics capabilities, including KPI reporting, portfolio performance measurement, market intelligence platforms, competitor monitoring solutions, and executive AI copilots.

Essential Functions:

  • Lead the development and delivery of enterprise reporting, executive dashboards, KPI scorecards, portfolio analytics, competitor benchmarking, and strategic business insights.
  • Conduct in-depth analysis of industry trends, competitive dynamics, emerging technologies, market opportunities, and regulatory developments affecting the consumer lending, credit card, banking, payments, and fintech industries.
  • Apply advanced statistical techniques, machine learning models, and predictive analytics to identify patterns, forecast market changes, and support strategic business decisions.
  • Design and implement AI-powered market intelligence and competitive research solutions that automate the collection, synthesis, and interpretation of market data.
  • Utilize Large Language Models (LLMs) to analyze and summarize earnings calls, SEC filings, analyst reports, press releases, industry publications, and competitor disclosures.
  • Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments.
  • Build executive AI copilots that support strategic planning, competitive analysis, and business decision-making.
  • Integrate external market, economic, customer, and industry datasets with internal business performance data to generate comprehensive insights.
  • Analyze portfolio performance across lending products, identifying opportunities related to growth, profitability, customer behavior, risk management, and operational efficiency.
  • Partner with business, product, marketing, digital, risk, technology, and finance leaders to translate analytical findings into actionable business recommendations.
  • Support board presentations, regulatory requests, audit reviews, second-line risk reviews, and executive strategic initiatives through rigorous analysis and communication.
  • Prepare audit-ready analyses and documentation to support regulatory, compliance, and governance requirements.
  • Present complex analytical findings and strategic recommendations to executive leadership in a clear, concise, and compelling manner.
  • Foster a culture of innovation, analytics excellence, data-driven decision-making, and AI adoption across the organization.

Requirements for Success:

Education & Experience:

  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Financial Engineering, or related quantitative discipline required; Master's degree preferred.
  • 5+ years of experience in Business Analytics, Data Science, Competitive Intelligence, Market Research, Strategy Analytics, Risk Analytics, or related analytical roles.
  • Experience within Financial Services, Consumer Lending, Credit Cards, Banking, Payments, or FinTech industries required.
  • Strong understanding of lending economics, including interest income, interchange, fees, charge-offs, delinquency, portfolio performance, and risk management frameworks.
  • Proven experience applying machine learning, artificial intelligence, and advanced analytics to solve business problems and generate strategic insights.
  • Experience working with Generative AI, LLMs, RAG architectures, AI agents, and market intelligence automation solutions preferred.
  • Strong proficiency in SQL, Python, Snowflake, AWS, and modern analytics platforms.
  • Experience with Power BI, PowerPoint, SAS, R, or similar analytical and visualization tools preferred.
  • Demonstrated ability to communicate complex technical findings and strategic recommendations to executive leadership, regulators, auditors, and non-technical stakeholders.
  • Highly analytical self-starter with the ability to manage multiple priorities and deliver results in a fast-paced, highly regulated environment.

Leadership Competencies

  • AI-first and market-first mindset.
  • Strategic thinker with strong business acumen.
  • Executive presence and storytelling capability.
  • Strong stakeholder management and influencing skills.
  • Curiosity-driven approach to problem solving and innovation.
  • Ability to challenge assumptions with data and evidence.
  • Commitment to driving measurable business outcomes through analytics and intelligence.

Ideally, the qualified candidate will work at the following location(s): South Jordan, UT, Woodbury, NY, Wilmington, DE. A hybrid work model or fully remote model can be considered based on hiring manager decision and priorities of the role.

The salary range for this position, if located in NY Metro/NY State is $146,409 to $162,676. However, please note that the salary range will vary for other geographic areas.

#INDHP

Our Employee Value Proposition

  • Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
  • Benefits Package -Medical, Dental, and Vision (plus much more)
  • 401(k) Plan with Company Match
  • Short- & Long-Term Disability
  • Wellness Programs
  • Group Life and AD&D Insurance
  • Paid Vacation, Sick Days and bank Holidays
  • Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.


We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.

We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.

If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.



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