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Technology Operations Enterprise Data Strategy Jobs in Provo, UT

Patientco

VP, Data Sciences

Lehi, UT

... technology infrastructure that that supports the organization's operations. This includes the ... Develops and implements enterprise and client-facing data management strategies to collect, store ...

Waystar, Inc

VP, Data Sciences

Lehi, UT · On-site

$130 - $160/hr

... technology infrastructure that supports the organization's operations. This includes the ... Develops and implements enterprise and client-facing data management strategies to collect, store ...

Conduent, Inc.

IT Operations Analyst II

Sandy, UT · On-site

$54K - $71K/yr

Job Title: IT Operations Analyst II Work Schedule: (3 Days, noon to midnight with rotating on-call) ... Enterprise Data Center Experience * Proficient in copper (Cat6, Cat6A) and fiber (single-mode ...

Crew Career Center

VP, Data Sciences

Lehi, UT

... technology infrastructure that that supports the organization's operations. This includes the ... Develops and implements enterprise and client-facing data management strategies to collect, store ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

... technology infrastructure that that supports the organization's operations. This includes the ... Develops and implements enterprise and client-facing data management strategies to collect, store ...

Conduent, Inc.

IT Operations Analyst II

Sandy, UT · On-site

$54K - $71K/yr

Job Title: IT Operations Analyst II Work Schedule: (3 Days, noon to midnight with rotating on-call) ... Enterprise Data Center Experience * Proficient in copper (Cat6, Cat6A) and fiber (single-mode ...

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

... operational efficiency. * Contribute to the evolution of enterprise data, AI, and knowledge ... Ability to quickly learn new business domains and emerging analytics and AI technologies. * Strong ...

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Technology Operations Enterprise Data Strategy information

See Provo, UT salary details

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How much do technology operations enterprise data strategy jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for technology operations enterprise data strategy in Provo, UT is $68.03, according to ZipRecruiter salary data. Most workers in this role earn between $59.13 and $77.98 per hour, depending on experience, location, and employer.

What is Technology Operations Enterprise Data Strategy?

Technology Operations Enterprise Data Strategy refers to the planning, management, and implementation of data-related processes and technologies across an organization to support its operational goals. This role involves setting standards for data governance, ensuring data quality, and aligning data initiatives with business objectives. Professionals in this field work to optimize data flow, storage, and security, enabling better decision-making and efficiency. They often collaborate with IT, business units, and data analytics teams to ensure data assets are leveraged effectively across the enterprise.

How does a Technology Operations Enterprise Data Strategy professional typically collaborate with other departments within an organization?

Professionals in Technology Operations Enterprise Data Strategy work closely with multiple departments, such as IT, business analytics, compliance, and executive leadership. They often facilitate communication between technical teams and business stakeholders to ensure that data initiatives align with organizational goals. This role involves coordinating data governance policies, integrating new technologies, and supporting data-driven decision-making across the enterprise. Successful collaboration requires strong communication skills and a deep understanding of both technical and business perspectives.

What are the key skills and qualifications needed to thrive in Technology Operations Enterprise Data Strategy, and why are they important?

To excel in Technology Operations Enterprise Data Strategy, you need strong expertise in data management, analytics, and strategic planning, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, data governance frameworks, and certifications like CDMP or AWS Certified Data Analytics is highly valuable. Exceptional problem-solving, stakeholder management, and communication skills help drive cross-functional initiatives and align data strategies with business goals. These competencies ensure effective data-driven decision making, operational efficiency, and long-term organizational success.

What is the difference between Technology Operations Enterprise Data Strategy vs Data Analyst?

AspectTechnology Operations Enterprise Data StrategyData Analyst
CredentialsTypically requires a degree in IT, Data Science, or related fields; certifications like CDMP or CBIP are commonRequires a degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate or Tableau Desktop Specialist are common
Work EnvironmentFocuses on strategic planning, data governance, and infrastructure within enterprise IT teamsFocuses on data collection, analysis, and reporting to support business decisions
Employer & Industry UsageUsed in large organizations managing enterprise data assets and IT operationsUsed across industries for data reporting, visualization, and insights

While Technology Operations Enterprise Data Strategy professionals focus on aligning data initiatives with business goals and managing data infrastructure, Data Analysts primarily analyze data to generate actionable insights. Both roles require strong analytical skills but differ in scope and strategic involvement.

What cities near Provo, UT are hiring for Technology Operations Enterprise Data Strategy jobs?

Cities near Provo, UT with the most Technology Operations Enterprise Data Strategy job openings:

Technology Operations Enterprise Data Strategy jobs near you

Manager Data Intelligence

Upbound Group, Inc.

Draper, UT • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 16 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.

Apply