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Data Platform Manager Jobs in Utah (NOW HIRING)

Sr. Data Governance Engineer

Draper, UT · On-site

$99K - $134K/yr

As we continue to grow our data platform and AI capabilities, we're looking for a Senior Data ... Manage relationships with business, product, and engineering data owners * Partner with enterprise ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

... platform (CDP). The ideal candidate is innately curious and passionate about identifying novel ... Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ...

Showing results 41-60

Data Platform Manager information

See Utah salary details

$28.2K

$88.4K

$156.6K

How much do data platform manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data platform 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.

Are data platform managers in demand?

Data platform managers are in high demand due to the increasing reliance on data-driven decision-making and digital transformation across industries. They typically require strong technical skills in data architecture, cloud platforms, and analytics tools, and often see competitive job growth and salary prospects.

What is the difference between Data Platform Manager vs Data Engineer?

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

How much do data platform managers make?

Data platform managers typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and company size. They often require skills in cloud platforms, data architecture, and leadership, with higher salaries for those with advanced certifications or extensive experience.

What are some common challenges faced by data platform managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What are the key skills and qualifications needed to thrive as a data platform manager?

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What is a data platform manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
What are the most commonly searched types of Data Platform jobs in Utah? The most popular types of Data Platform jobs in Utah are:
What are popular job titles related to Data Platform Manager jobs in Utah? For Data Platform Manager jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Platform Manager jobs? Cities in Utah with the most Data Platform Manager job openings:
Infographic showing various Data Platform Manager job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $88,438 per year, or $42.5 per hour.

AI Workplace Platform Consultant (Claude, Copilot, Gemini)

Deloitte

Salt Lake City, UT • On-site

Other

Re-posted 22 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

46th of 150 rated financial services


Job description

AI Workplace Platform Consultant (Claude, Copilot, Gemini)

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation and enhanced productivity.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.

The Role

Workplace Engineering is AI & Engineering's front door for enterprise AI adoption. We own the configuration, deployment, and operationalization of foundational large language model platforms - Anthropic Claude/Cowork, Microsoft Copilot, and Google Gemini, for enterprise end users at scale. We are looking for delivery-focused consultants who have done this work firsthand and can drive technical engagements from platform setup through managed operations.

Recruiting for this role ends on 08/10/2026.

Work you'll do

As a consultant on the AI & Engineering team, you will be responsible for:

  • Configuring, integrating and deploying enterprise AI platforms, including Anthropic Claude/Cowork, Google Gemini, and Microsoft 365 Copilot, for end users at scale
  • Leading technical engagements across platform setup, pilot execution, production rollout, and managed operations
  • Implementing identity, access, and provisioning configurations, including single sign-on, role-based access controls, and user lifecycle management
  • Supporting release planning, change management, and end-user enablement activities for enterprise AI platform adoption
  • Translating business and technical requirements into platform configurations, operating procedures, and runbook documentation

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective communication and stakeholder management skills
  • Ability to lead technical workstreams in fast-paced environments
  • Experience managing multiple priorities and deadlines
  • Ability to translate business needs into technical solutions

The Team

AI & Engineering helps organizations transform technology platforms, modernize critical operations, and drive innovation at scale. Professionals across the practice work with clients to improve performance, launch new digital capabilities, and increase productivity through engineering-led solutions.

Qualifications

Required:

  • Direct experience with enterprise AI platforms, including Anthropic Claude and/or Google Gemini and Copilot
  • 3+ years of experience in project or program management
  • 3+ years of experience in consulting, industry, or systems integration supporting large-scale enterprise implementations
  • Microsoft 365/Exchange ecosystem experience
  • Experience with enterprise release planning and change management
  • Bachelor's degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Anthropic Claude/Cowork, Microsoft 365 Copilot, Google Gemini or OpenAI enterprise platforms
  • Experience configuring single sign-on (SSO) with Okta, Ping, Microsoft Entra ID, Azure Active Directory, or Google Workspace
  • Experience with System for Cross-domain Identity Management (SCIM) provisioning, user lifecycle management, and role-based access control (RBAC)
  • Experience with application programming interface (API) management, webhook integrations, usage monitoring, and spend controls
  • Experience with audit logging, access governance, and enterprise security frameworks including SOC 2 or ISO 27001
  • Experience creating technical documentation, runbooks, or acceptable use policies for enterprise AI deployments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,200 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: [1] [1] https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

AI Workplace Platform Consultant (Claude, Copilot, Gemini)

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation and enhanced productivity.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.

The Role

Workplace Engineering is AI & Engineering's front door for enterprise AI adoption. We own the configuration, deployment, and operationalization of foundational large language model platforms - Anthropic Claude/Cowork, Microsoft Copilot, and Google Gemini, for enterprise end users at scale. We are looking for delivery-focused consultants who have done this work firsthand and can drive technical engagements from platform setup through managed operations.

Recruiting for this role ends on 08/10/2026.

Work you'll do

As a consultant on the AI & Engineering team, you will be responsible for:

  • Configuring, integrating and deploying enterprise AI platforms, including Anthropic Claude/Cowork, Google Gemini, and Microsoft 365 Copilot, for end users at scale
  • Leading technical engagements across platform setup, pilot execution, production rollout, and managed operations
  • Implementing identity, access, and provisioning configurations, including single sign-on, role-based access controls, and user lifecycle management
  • Supporting release planning, change management, and end-user enablement activities for enterprise AI platform adoption
  • Translating business and technical requirements into platform configurations, operating procedures, and runbook documentation

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective communication and stakeholder management skills
  • Ability to lead technical workstreams in fast-paced environments
  • Experience managing multiple priorities and deadlines
  • Ability to translate business needs into technical solutions

The Team

AI & Engineering helps organizations transform technology platforms, modernize critical operations, and drive innovation at scale. Professionals across the practice work with clients to improve performance, launch new digital capabilities, and increase productivity through engineering-led solutions.

Qualifications

Required:

  • Direct experience with enterprise AI platforms, including Anthropic Claude and/or Google Gemini and Copilot
  • 3+ years of experience in project or program management
  • 3+ years of experience in consulting, industry, or systems integration supporting large-scale enterprise implementations
  • Microsoft 365/Exchange ecosystem experience
  • Experience with enterprise release planning and change management
  • Bachelor's degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Anthropic Claude/Cowork, Microsoft 365 Copilot, Google Gemini or OpenAI enterprise platforms
  • Experience configuring single sign-on (SSO) with Okta, Ping, Microsoft Entra ID, Azure Active Directory, or Google Workspace
  • Experience with System for Cross-domain Identity Management (SCIM) provisioning, user lifecycle management, and role-based access control (RBAC)
  • Experience with application programming interface (API) management, webhook integrations, usage monitoring, and spend controls
  • Experience with audit logging, access governance, and enterprise security frameworks including SOC 2 or ISO 27001
  • Experience creating technical documentation, runbooks, or acceptable use policies for enterprise AI deployments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,200 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: [1] [1] https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


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