Acima Leasing Jobs Hiring Now
Acima Leasing is hiring for 62 open roles on Migrate Mate as of July 16, 2026, concentrated in account management and creative & design, with listed salaries up to about $150,000. Migrate Mate updates Acima Leasing's live openings daily. Acima Leasing is a lease-to-own financing company that partners with retail merchants to offer consumers flexible payment options on everyday goods.
Find Acima Leasing JobsOverview
Acima Leasing hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 62
- Top team
- Account Management
- Seniority
- Manager level or above
- Work type
- 0% remote or hybrid
- Top location
- Draper
- Salary range
- $60,000–$150,000
Listed salaries for Acima Leasing roles on Migrate Mate range from about $60,000 to $150,000 per year across 62 open roles, as of July 16, 2026. Some roles list hourly contract rates.
Open Roles at Acima Leasing
Showing 25 of 62+ Acima Leasing jobs
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.
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.
Job Roles at Acima Leasing
Working at Acima Leasing
Acima Leasing's 62 open roles are manager level or above, and about 0% are remote or hybrid. The most active teams are account management, creative & design, and business operations. Acima Leasing provides lease-to-own financing solutions, connecting retail partners with consumers who want flexible ways to acquire household goods and electronics. The company operates across sales, customer service, operations, and technology functions, with roles spanning field-facing positions and corporate support. Most Acima Leasing roles are based in Draper, with some in O'Fallon and Ballwin.
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Browse jobs by roleAcima Leasing Jobs: Frequently Asked Questions
How many jobs is Acima Leasing hiring for right now?
Acima Leasing is hiring for 62 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in account management and creative & design. Positions span sales, customer service, operations, and technology, ranging from entry-level associates to senior managers. Migrate Mate pulls the latest listings directly so the count reflects what is actively open.
What kinds of roles does Acima Leasing hire for?
The most active teams are account management, creative & design, and business operations. Acima Leasing posts roles across sales, customer service, operations, and cloud infrastructure. The sample includes sales managers, product managers, customer service representatives, operations analysts, and field support specialists, with some bilingual and part-time options. Most postings are manager level or above, though entry-level and internship positions also appear.
Are Acima Leasing jobs remote or in-person?
Mostly on-site. About 0% of Acima Leasing's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Draper. Each Acima Leasing listing shows its work location so you can filter before applying.
How do I apply to a job at Acima Leasing?
Find an Acima Leasing role on Migrate Mate, then follow the listing through to Acima Leasing's own careers page to submit your application. Acima Leasing manages its own hiring process, including screening, interviews, and offers. Migrate Mate keeps the listings current so you can browse what is open and click through to apply directly with the company.
What do Acima Leasing jobs pay?
Listed salaries for Acima Leasing roles on Migrate Mate range from about $60,000 to $150,000 per year as of July 16, 2026, with most postings at manager level or above. Some roles list hourly contract rates. Exact pay is set by Acima Leasing and shown on each listing.
Does Acima Leasing hire entry-level?
Most of Acima Leasing's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual Acima Leasing listings for stated experience requirements.
Where is Acima Leasing hiring?
Most Acima Leasing roles are based in Draper, with some in O'Fallon and Ballwin, and about 0% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.