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Data Manager Jobs in Draper, UT (NOW HIRING)

Upbound Group Inc.

Manager Data Intelligence

Draper, UT · On-site

$140 - $200/hr

Manager Data Intelligence (Draper, UT, In‑Office) About the Position We are seeking an experienced and technically strong Data, Knowledge, and Intelligence Manager to lead the planning, design ...

Upbound

Manager Data Intelligence

Draper, UT

Manager Data Intelligence (Draper, UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the evolving ...

Pwc

Data Governance- Manager

Salt Lake City, UT

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Socket.dev

Manager, Data Analytics

Salt Lake City, UT · On-site

$120 - $180/hr

Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily ...

Filevine

Manager, Data Analytics

Salt Lake City, UT · On-site

$110 - $165/hr

Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily ...

Accenture

Data Protection, Manager

Salt Lake City, UT · On-site

$150K - $178K/yr

As a Data Protection Manager, you'll lead the delivery of data protection and data governance solutions for Avanade clients. You'll bring hands-on technical expertise, own project outcomes, and guide ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

The Data Management & Analytics area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data ...

Deloitte

Senior Manager Data Lead

Salt Lake City, UT

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Deloitte's Healthcare Consulting practice is one of the largest ...

CHG Management, Inc.

Business Data Steward

Midvale, UT · On-site

$53 - $102/hr

Manage, define, and protect the quality of data, acting as a bridge between business operations and technical data teams, translating business needs into data requirements. * Identify critical data ...

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Draper, UT

Data Manager information

See Draper, UT salary details

$29K

$90.8K

$160.8K

How much do data manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data manager in Draper, UT is $90,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $117,300.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Draper, UT?

The most popular types of Data jobs in Draper, UT are:

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For Data Manager jobs in Draper, UT, the most frequently searched job titles are:

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Cities near Draper, UT with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Draper, UT as of August 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $90,815 per year, or $43.7 per hour.

Manager Data Intelligence

Upbound Group, Inc.

Draper, UT • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Key responsibilities

  • Lead the planning, design, development, and delivery of enterprise data intelligence products.

  • Translate business needs into scalable data solutions and guide creation of technical specifications.

  • Develop and manage product backlogs, roadmaps, and release plans, including prioritization and sprint management.

Job description

Job Description:
Manager Data Intelligence
(Draper, UT, In-Office)
Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the evolving needs and aspirations of underserved customers. The Company's customer-facing operating units include industry-leading brands such as Acima, Brigit, and Rent-A-Center that facilitate consumer transactions across a wide range of store-based and digital channels, including over 2,300 company branded retail units across the United States, Mexico, and Puerto Rico. Upbound Group, Inc. is headquartered in Plano, Texas.
ABOUT THE POSITION
We are seeking an experienced and technically strong Data, knowledge, and Intelligence Manager to lead the planning, design, development, and delivery of enterprise data intelligence products. This role acts as the bridge between business stakeholders, product managers, and engineering teams by translating business needs into scalable data solutions. The ideal candidate combines strong data architecture, technical leadership, experience in enterprise data products management, familiarity with Generative AI, LLMs, and agentic AI concepts (experience implementing AI use cases is preferred). And Agile delivery skills to ensure high-quality, dependable, and scalable data intelligence products leveraging approved enterprise tools, frameworks, and patterns.
KEY RESPONSIBILITIES
Data Intelligence Roadmaps & Stakeholder Management
  • Partner with business VPs/Directors/users, product managers, and leadership teams to understand business needs, objectives and develop use cases/requirements for enterprise data, Knowledge, and Intelligence products.

  • Facilitate requirement discovery workshops and stakeholder discussions.

  • Drive alignment between business priorities and data product roadmaps.

  • Evaluate and prioritize Generative AI, predictive analytics, machine learning, and intelligent automation use cases.

  • Function as the primary liaison between business and data/technical teams.

  • Translate roadmaps, business use cases/business requirements into actionable deliverables and guide creation of clear functional and technical specifications.

Analytics & Insights Enablement
  • Deliver trusted data and intelligence products and self-service capabilities to business users.

  • Enable data-driven decision-making through dashboards, insights, and AI-powered capabilities & solutions.

  • Promote data literacy and AI adoption across the organization.

Data Architecture & Solution Design
  • Define and provide architecture & Solution guidance for enterprise data, Knowledge, and Intelligence products.

  • Ensure solutions align with established data architecture standards, design patterns, and engineering frameworks.

  • Review solution designs to ensure scalability, performance, governance, security, and reusability.

  • Collaborate with architects and engineering teams to establish best practices and technical standards.

Data Intelligence Products Backlog ownership & Delivery
  • Develop and manage product backlogs, roadmaps, and release plans - Function as the defacto portfolio/product manager - create and manage Jira epics, features, user stories, tasks, and acceptance criteria based on business requirements.

  • Prioritize features based on business value, customer impact, and strategic alignment - Define product requirements, user stories, acceptance criteria, and success metrics.

  • Lead sprint planning, backlog grooming, sprint reviews, and retrospectives.

  • Ensure requirements are clearly documented and understood by development teams.

  • Monitor project progress and proactively manage risks, dependencies, and escalations.

Data Governance & Quality
  • Ensure data products comply with regulatory, privacy, security, and compliance requirements.

  • Drive metadata management, data lineage, cataloging, and discoverability initiatives.

  • Leverage AI where possible to implement the data governance capabilities and solutions.

  • Monitor and improve data reliability, accuracy, consistency, and trustworthiness.

Resource Planning & Capacity Management
  • Develop quarterly resource and capacity plans based on current project commitments, strategic priorities, and future demand.

  • Evaluate team utilization and forecast staffing requirements.

  • Partner with leadership to prioritize work and optimize resource allocation.

  • Support budget planning and workforce planning activities.

Technical Leadership & Quality Assurance
  • Conduct architecture, design, and code reviews to ensure adherence to standards and best practices.

  • Verify the quality, performance, reliability, and maintainability of data products.

  • Drive implementation of data quality, testing, monitoring, and operational excellence practices.

  • Establish and enforce coding standards, development frameworks, and governance processes.

Leadership & Innovation
  • Foster a culture of experimentation, innovation, and AI-driven problem solving.

  • Mentor teams on product thinking, data strategy, and AI best practices.

  • Stay current on industry trends, emerging technologies, and competitive developments.

  • Drive enterprise-wide AI and data product transformation initiatives.

  • Lead daily stand-up meetings and coordinate cross-functional team activities.

  • Provide mentorship and technical guidance to data engineers and developers.

  • Foster a culture of continuous improvement and knowledge sharing.

  • Facilitate collaboration across engineering, architecture, product management, and business teams.

Escalation Management & Technical Troubleshooting
  • Serve as the technical escalation point for critical production issues and complex data challenges.

  • Perform direct troubleshooting and root cause analysis when necessary.

  • Guide teams through issue resolution and implementation of preventative measures.

  • Support production deployments and operational readiness activities.

REQUIRED QUALIFICATIONS
  • 10+ years in data, analytics, engineering, data architecture, data product management, or related roles.

  • 2+ years leading enterprise data products or AI-enabled products.

  • Experience building AI, analytics, or data products/platforms at scale.

  • Demonstrated success delivering measurable business value from data and intelligence products.

  • Stakeholder Management & Executive Communication

  • Strong experience gathering and documenting business requirements.

  • Experience creating and managing Jira stories, epics, and Agile backlogs.

  • Strong understanding of data architecture, data modeling, and data integration patterns.

  • Experience reviewing code and enforcing engineering best practices.

  • Excellent communication, leadership, stakeholder management, and problem-solving skills.

  • Ability to balance strategic planning with hands-on technical execution.

  • Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field.

  • Knowledge of data warehouse, lakehouse, and data mesh architectures.

  • Familiarity with platforms such as Snowflake, Databricks, or similar technologies.

REQUIRED SKILLS
  • Business Value Realization

  • Stakeholder Management & Executive Communication

  • Data Strategy & Governance

  • Data Architecture & Data Modeling (Dimensional and Relational)

  • Experience implementing AI solutions. Preferred experience with - Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Vector Databases, Semantic Search, Prompt Engineering, AI Product Management

  • Data Product Management

  • Business Requirements Gathering

  • Agile/Scrum Methodologies

  • Jira Backlog Management

  • Enterprise Data Warehousing

  • Snowflake, Cloud Data Warehouses

  • Python

  • SQL

  • ETL/ELT Design and Development

  • Data Quality & Data Governance

  • Code Reviews & Quality Assurance

  • Production Support & Technical Troubleshooting

  • Performance Tuning & Optimization

  • Resource Planning & Capacity Management

  • CI/CD and DevOps Practices

COMPENSATION/BENEFITS
  • Full health benefits-Medical/Dental/Vision

  • 401(k) match, 5%/4%

  • DTO (discretionary time off)

  • Health savings account (HSA) with company contribution

  • College tuition reimbursement program (STEM degrees)

  • Unlimited use of Linkedin Learning

  • Free car charging

  • Onsite gym and showers

SPONSORSHIP
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Join us at the forefront of digital innovation, where your work will directly impact the future of financial accessibility and consumer experiences across retail, e-commerce, and fintech.
Upbound/Acima/Brigit are equal opportunity employers committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.
Upbound Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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