Manager Data Intelligence
Job in
Draper, Salt Lake County, Utah, 84020, USA
Listed on 2026-07-20
Listing for:
Acima Leasing
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, IT Project Manager, Data Science Manager
Job Description & How to Apply Below
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…
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