1

Executive Data Science Jobs in Utah (NOW HIRING)

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... The role serves as a trusted advisor to executive leadership, business unit leaders, risk ...

Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets ...

The Data Management & Analytics - Executive focus specializes in overseeing the design, development ... Education:** Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics ...

The Data Management & Analytics - Executive focus specializes in overseeing the design, development ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

The Data Management & Analytics - Executive focus specializes in overseeing the design, development ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

Data Engineer

Springville, UT · On-site

$105K - $127K/yr

Working with the executive team, brand ops and marketing teams, and other stakeholders to ... Bachelor's degree in Data Science, Computer Science, or a related field. Relevant work experience ...

Data Engineer

Springville, UT · On-site

$105K - $127K/yr

Working with the executive team, brand ops and marketing teams, and other stakeholders to ... Bachelor's degree in Data Science, Computer Science, or a related field. Relevant work experience ...

Data Engineer

Springville, UT

$105K - $127K/yr

Working with the executive team, brand ops and marketing teams, and other stakeholders to ... Bachelor's degree in Data Science, Computer Science, or a related field. Relevant work experience ...

... that executive leadership and Finance rely on for reporting, planning, and strategic decisions. You'll partner closely with analytics, data science, and product teams to make integrations robust ...

This provides a unique opportunity to work closely with and learn from executives who are at the ... Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data ...

Sr Manager, Product Analytics

Lehi, UT · On-site

$118K - $156K/yr

Team Leadership - Manage, mentor, and grow a hybrid high-performing team of data scientists ... Engage executive stakeholders and external business units to clearly define requirements, set ...

Sr Manager, Product Analytics

UT · On-site

$118K - $156K/yr

Team Leadership - Manage, mentor, and grow a hybrid high-performing team of data scientists ... Engage executive stakeholders and external business units to clearly define requirements, set ...

next page

Showing results 1-20

Executive Data Science information

What are the key skills and qualifications needed to thrive as an Executive Data Scientist, and why are they important?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is Executive Data Science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an Executive Data Scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable 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 cities in Utah are hiring for Executive Data Science jobs? Cities in Utah with the most Executive Data Science job openings:

Director, Data Science

CardWorks

South Jordan, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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.



What CardWorks employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom