Manager Data Intelligence

Upbound Field Support Center Rent A Center Texas LP

Draper (UT)

Hybrid

USD 140,000 - 195,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k) match
DTO (Discretionary Time Off)
HSA contributions
Tuition reimbursement
LinkedIn Learning access
Onsite gym & car charging

Job summary

Upbound Group, Inc. is seeking a Manager Data Intelligence in Draper, UT to lead data-driven product teams and align roadmaps with business priorities. In-office role focusing on data governance, architecture, and performance of analytics platforms.

Responsibilities include stakeholder management, backlog ownership, and driving AI-powered solutions while ensuring security, scalability and high data quality across the organization.

Qualifications

  • I. 15+ years in data, analytics, engineering, data architecture or related roles.
  • II. 5+ years leading enterprise data or AI-enabled product teams.
  • III. Deliver AI/analytics data products at scale with measurable value.
  • IV. Strong executive communication & stakeholder management.
  • V. Jira backlog management and Agile/Scrum experience.
  • VI. Proficiency in data architecture, modeling, integration patterns & code review.
  • VII. Bachelor’s degree in CS/IS or related field.

Responsibilities

  • Lead Data Intelligence roadmaps with stakeholder alignment.
  • Deliver trusted data products and self-serve analytics capabilities.
  • Provide architecture guidance and enforce governance, security and scalability.

Skills

Executive communication
Data governance
Data architecture
AI solutions
Agile/Scrum
Data warehousing
Python/SQL
Data quality
DevOps
Resource planning

Education

Bachelor's degree in CS/IS

Tools

Jira
Snowflake
Databricks
Python
SQL
ETL/ELT
CI/CD

Job description

Manager Data Intelligence

Draper, UT (In-Office)

Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data‑driven leader providing inclusive financial solutions to underserved customers through brands such as Acima, Brigit, and Rent‑A‑Center.

Key Responsibilities
  • Data Intelligence Roadmaps & Stakeholder Management: Partner with business VPs, Directors, product managers, and leadership to identify needs, develop use cases, facilitate workshops, and align priorities with data product roadmaps.
  • Analytics & Insights Enablement: Deliver trusted data products and self‑service capabilities; enable data‑driven decision making through dashboards, insights and AI‑powered solutions; promote data literacy and AI adoption.
  • Data Architecture & Solution Design: Provide architecture guidance, ensure solutions meet standards for scalability, performance, governance, security and reusability, and collaborate on best practices and technical standards.
  • Product Backlog Ownership & Delivery: Manage product backlogs, roadmaps and release plans; create Jira epics, features, user stories, tasks; prioritize features; lead sprint ceremonies; track progress and manage risks.
  • Data Governance & Quality: Ensure compliance with regulatory, privacy and security requirements; lead metadata management, lineage, cataloging, discoverability; use AI to enhance governance; improve data reliability, accuracy and consistency.
  • Resource Planning & Capacity Management: Develop quarterly resource plans, forecast staffing, support budget planning.
  • Technical Leadership & Quality Assurance: Conduct architecture, design and code reviews, enforce standards, assure product quality, implement testing and monitoring practices.
  • Leadership & Innovation: Foster experimentation and AI‑driven problem solving; mentor teams on product thinking and AI best practices; lead AI and data product transformation initiatives.
  • Escalation Management & Technical Troubleshooting: Serve as technical escalation point for critical production issues; perform troubleshooting, root cause analysis, guide resolution, support deployments and operational readiness.
Required Qualifications
  • 15 years in data, analytics, engineering, data architecture or related roles.
  • 5+ years leading enterprise data or AI‑enabled product teams.
  • Experience building AI, analytics or data products at scale, delivering measurable business value.
  • Strong stakeholder management and executive communication skills.
  • Experience with Jira backlog management and Agile/Scrum.
  • Proficiency in data architecture, modeling, integration patterns and code review.
  • Bachelor’s degree in computer science, information systems or related field.
  • Knowledge of data warehouse, lakehouse and data mesh architectures, Snowflake, Databricks or similar platforms.
Required Skills
  • Business Value Realization & Executive Communication
  • Data Strategy & Governance
  • Data Architecture & Modeling (Dimensional and Relational)
  • Experience implementing AI solutions, including Generative AI, Agentic AI, Retrieval‑Augmented Generation, Knowledge Graphs, Vector Databases, Semantic Search and Prompt Engineering.
  • Agile/Scrum Methodologies and Jira Backlog Management
  • Enterprise Data Warehousing (Snowflake, Cloud Data Warehouses)
  • Python, SQL, ETL/ELT design and development
  • Data Quality & Governance, Code Reviews & QA, Production Support & Troubleshooting
  • Performance Tuning, Optimization, CI/CD, DevOps
  • Resource Planning & Capacity Management
Compensation & Benefits
  • Full health benefits (Medical, Dental, Vision)
  • 401(k) match
  • 6% discretionary time off, 3% DTO
  • Health Savings Account with company contribution
  • College tuition reimbursement for STEM degrees
  • Unlimited use of LinkedIn Learning
  • Free car charging, onsite gym and showers

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.

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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