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Data Privacy Manager Jobs in Utah (NOW HIRING)

Upbound

Manager Data Intelligence

Draper, UT · On-site

Ensure data productscomply withregulatory, privacy, security, and compliance requirements. * Drive metadata management, data lineage, cataloging, and discoverability initiatives. * Leverage AI where ...

Dandy

Business Development Manager

Lehi, UT · On-site

$140K - $175K/yr

About the Role Dandy is seeking a Business Development Manager to hire, manage, and scale our ... Data Privacy Notice: By submitting your application, you consent to Dandy collecting, storing, and ...

Brex

Credit Card Counsel

Salt Lake City, UT · Hybrid

$189K - $230K/yr

... data privacy, and product regulatory questions * Advise on product and marketing collateral, customer communications, and disclosures for spend management software products * Draft, update, and ...

Carta

Manager, Tax Delivery

Sandy, UT · On-site

$105K - $138K/yr

Your clients are the most talented venture capitalists, fund managers and dealmakers in the world ... For information on our data privacy policies, see Privacy, CA Candidate Privacy, and Brazil ...

The L Suite

Senior Counsel @ REDO

Draper, UT · On-site

$150K - $185K/yr

... manage the full lifecycle of commercial agreements, including enterprise SaaS, API/data licensing ... ML, data privacy (including CCPA and GLBA), and financial services compliance, while also ...

New

Nearmap

Manager, Legal Operations

Lehi, UT · On-site +1

Our Manager, Legal Operations & Compliance will be the backbone behind how Nearmap's legal function ... Support the Company's data privacy program and maintain the Legal Ops-owned policy library ...

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All JobsData Privacy JobsData Privacy Manager JobsData Privacy Manager Jobs in Utah

Data Privacy Manager information

See Utah salary details

$28.2K

$88.4K

$156.6K

How much do data privacy manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data privacy 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 does a Data Privacy Manager do?

A Data Privacy Manager is responsible for ensuring an organization complies with data protection regulations and best practices. They develop, implement, and oversee data privacy policies, conduct risk assessments, and work with legal and IT teams to safeguard sensitive information. Their role also includes training employees on data privacy, responding to data breaches, and staying updated on evolving privacy laws.

What are the key skills and qualifications needed to thrive as a Data Privacy Manager?

To thrive as a Data Privacy Manager, you need a deep understanding of data protection laws (such as GDPR, CCPA), risk assessment, and information security principles, usually backed by a relevant degree and experience in data governance or compliance. Technical proficiency with data mapping, compliance management platforms, and certifications like CIPP or CIPM is often required. Strong communication, project management, and problem-solving skills help you effectively collaborate with stakeholders and lead regulatory initiatives. These competencies are essential to ensure organizational compliance, minimize legal risks, and build trust with clients and partners.

What are some typical challenges a Data Privacy Manager faces on the job?

Data Privacy Managers often encounter the challenge of keeping up with rapidly evolving privacy regulations and ensuring ongoing compliance across multiple jurisdictions. They must balance business needs with stringent privacy requirements, which can involve negotiating with various departments to implement necessary data protection measures. Additionally, responding to data breaches or privacy incidents quickly and effectively is a key part of the role. Overcoming these challenges requires strong attention to detail, ongoing training, and a collaborative approach to working with legal, IT, and business teams.

What is the role of a data privacy manager?

A data privacy manager is responsible for developing and implementing policies to protect sensitive data and ensure compliance with privacy regulations such as GDPR or CCPA. They conduct risk assessments, oversee data handling practices, and coordinate training to minimize data breaches and privacy violations.

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

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

What are popular job titles related to Data Privacy Manager jobs in Utah?

For Data Privacy Manager jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Privacy Manager jobs in Utah look for?

The top searched job categories for Data Privacy Manager jobs in Utah are:

What cities in Utah are hiring for Data Privacy Manager jobs?

Cities in Utah with the most Data Privacy Manager job openings:

Data Privacy Manager jobs near you
Infographic showing various Data Privacy Manager job openings in Utah as of August 2026, with employment types broken down into 17% As Needed, 66% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $88,438 per year, or $42.5 per hour.

Manager Data Intelligence

Upbound Group, Inc.

Draper, UT • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

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
  • 15 years in data, analytics, engineering, data architecture, data product management, or related roles.

  • 5+ 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, 6%/3%

  • 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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