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Strategic Intelligence Jobs in Utah (NOW HIRING)

Target Analyst Reporter Level 2

Draper, UT ยท On-site

$130K - $140K/yr

This role is responsible for evaluating intelligence from multiple sources, producing serialized SIGINT reporting, and collaborating with collectors and analysts to refine collection strategies and ...

Vasion is seeking a Strategic Finance Analyst who embodies our core values and is eager to join our ... The right candidate brings intellectual curiosity, comfort with ambiguity, and analytical ...

Vasion is seeking a Strategic Finance Analyst who embodies our core values and is eager to join our ... The right candidate brings intellectual curiosity, comfort with ambiguity, and analytical ...

Vasion is seeking a Strategic Finance Analyst who embodies our core values and is eager to join our ... The right candidate brings intellectual curiosity, comfort with ambiguity, and analytical ...

... intelligence from a variety of third party sources. Our customers range from SMB, midmarket to large global enterprise brands, who we help save millions of dollars a year. Our Go to Market strategy ...

Showing results 21-40

Strategic Intelligence information

See Utah salary details

$10K

$93.7K

$121.1K

How much do strategic intelligence jobs pay per year?

As of Aug 16, 2026, the average yearly pay for strategic intelligence in Utah is $93,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $120,600.00 per year, depending on experience, location, and employer.

Are strategic intelligence jobs high paying?

Strategic intelligence jobs often offer competitive salaries, especially for roles requiring advanced analytical skills, security clearances, or experience with intelligence tools. Salaries vary based on industry, location, and level of experience, but these positions generally provide above-average compensation compared to many other analytical roles.

What are some common challenges faced by professionals in strategic intelligence roles?

Professionals in Strategic Intelligence often deal with the challenge of filtering vast amounts of information to identify relevant threats, opportunities, or trends for their organizations. Maintaining accuracy and objectivity under tight deadlines is another key challenge, as is staying updated on rapidly shifting geopolitical, economic, or industry landscapes. Collaboration with diverse teams, including analysts, decision-makers, and sometimes external agencies, is a regular part of the job. Successfully navigating these challenges requires adaptability, effective communication, and a proactive approach to continuous learning.

What can you do with a strategic intelligence degree?

A strategic intelligence degree prepares individuals for roles in intelligence analysis, strategic planning, and risk assessment across government agencies, private corporations, and consulting firms. Graduates often work with data analysis tools, develop reports, and provide insights to support decision-making processes. The degree can lead to careers in security, defense, corporate strategy, or intelligence analysis, often requiring strong analytical skills and knowledge of security protocols.

What are the key skills and qualifications needed to thrive in the strategic intelligence position, and why are they important?

To thrive in Strategic Intelligence, you typically need strong analytical skills, expertise in data gathering and interpretation, and a background in international relations, security studies, or related fields. Familiarity with intelligence analysis software, geographic information systems (GIS), and security clearance processes is often required. Excellent critical thinking, problem-solving, and communication skills are essential for synthesizing insights and presenting findings to stakeholders. These competencies are crucial for providing actionable intelligence to inform organizational strategy and decision-making.

What is a strategic intelligence?

A Strategic Intelligence job involves gathering, analyzing, and interpreting information to support decision-making and long-term planning for organizations, governments, or businesses. Professionals in this field assess risks, identify opportunities, and provide insights on competitive landscapes, geopolitical developments, or market trends. They use data analysis, research methodologies, and intelligence techniques to inform strategy and mitigate uncertainty. These roles are commonly found in government agencies, defense sectors, private corporations, and consulting firms.

What are the most commonly searched types of Strategic Intelligence jobs in Utah?

The most popular types of Strategic Intelligence jobs in Utah are:

Infographic showing various Strategic Intelligence job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,712 per year, or $45.1 per hour.

Manager Data Intelligence

Upbound Group, Inc.

Draper, UT โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 11 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.