Director, Enterprise Performance Analytics
Director, Enterprise Performance Analytics
(Plano Texas, In-Office)
ABOUT UPBOUND
Upbound Group, Inc. (effective February 27, 2023: NASDAQ: UPBD) is an omni-channel platform company committed to elevating financial opportunity for all through innovative, inclusive, and technology-driven financial solutions that address the evolving needs and aspirations of consumers. The Company’s customer-facing operating units include industry-leading brands such as Acima, Rent-A-Center, and Brigit that facilitate consumer transactions across a wide range of store-based and digital retail channels, including over 2,400 company branded retail units across the United States, Mexico and Puerto Rico. Upbound Group, Inc. is headquartered in Plano, Texas.
ABOUT THE POSITION
The Director, Enterprise Performance Analytics (Growth) leads the strategy and execution of advanced analytics that drive enterprise growth, performance optimization, and data-informed decisioning. This role is accountable for delivering deep, full-funnel analytics across the customer lifecycle; from acquisition through servicing and collections to identify risks, uncover opportunities, and translate insights into measurable business impact.
The Director partners closely with Growth product pod teams to embed analytics into product development, marketing, and customer experience initiatives. This includes designing and operationalizing measurement frameworks that quantify the incremental impact of product features, experiences, and innovations on conversion, retention, and lifetime value.
This role serves as the analytical engine of the Growth organization connecting enterprise performance visibility with actionable insights that directly influence strategy, prioritization, and execution.
KEY RESPONSIBILITIES
Full-Funnel Performance Analytics & Optimization
Lead end-to-end analysis of the customer lifecycle (acquisition → onboarding → conversion → servicing → retention → collections) to identify performance drivers, bottlenecks, and opportunities
Diagnose conversion leakage, retention risks, and margin dynamics using cohort analysis, funnel decomposition, behavioral segmentation, etc.
Quantify drivers of growth, customer lifetime value (LTV), and unit economics across channels and products
Translate analytical findings into clear, prioritized actions that drive measurable business outcomes
Enterprise KPI Strategy & Performance Frameworks
Define and evolve enterprise KPI frameworks aligned to Growth strategy, financial goals, and operational levers
Establish standardized metric definitions while enabling deeper diagnostic layers for advanced analytics
Ensure consistency in performance measurement across product pods, brands, and channels
Connect operational metrics to financial outcomes, enabling true performance accountability
Growth Measurement & Experimentation within Product Pods
Embed analytics leaders within Growth product pods (e.g., acquisition, onboarding, servicing, retention)
Design and implement measurement frameworks to quantify the incremental impact of product features, customer experience enhancements, and innovations
Partner with Product and Marketing teams to support experimentation creating and implementing test-and-learn frameworks and causal inference approaches)
Ensure all major initiatives have clear success metrics, measurement plans, and post-launch impact evaluation
Drive a culture of evidence-based prioritization and continuous optimization
Performance Insights & Decision Enablement
Deliver forward-looking insights that inform product roadmaps, marketing investments, and operational strategies
Proactively identify emerging risks and opportunities through trend analysis, predictive signals, and scenario modeling
Support strategic planning, forecasting, and investment decisions with robust analytical models
Serve as a trusted advisor to Growth leadership on performance optimization and trade-off decisions
Targeted Executive Reporting & Visibility
Deliver concise, insight-driven executive dashboards and scorecards focused on key performance drivers
Ensure reporting highlights actionable insights—not just metrics—enabling faster and better decisions
Provide clear visibility into growth performance, initiative impact, and ROI across brands (Rent-A-Center, Acima, Brigit)
Standardize critical reporting while minimizing low-value or redundant outputs
Operational Excellence & Analytics Delivery
Build scalable analytics capabilities that support both enterprise-level insights and product pod-level agility
Ensure high data quality, integrity, and governance across all analytical outputs
Establish repeatable processes for performance analysis, experimentation readouts, and insight delivery
Continuously improve speed, sophistication, and business impact of analytics
MAJOR PRODUCTS & DELIVERABLES
Full-funnel performance analytics and diagnostic frameworks
Incrementality measurement models for product features and customer experience initiatives
Experimentation design, analysis, and impact reporting
Cohort analyses, segmentation models, and LTV / unit economics frameworks
Forecasting models and performance trend analyses
Executive dashboards and enterprise Growth scorecards (focused on insights and actionability)
OUTCOMES
Clear identification of growth opportunities and performance risks across the full customer lifecycle
Measurable improvement in conversion, retention, and customer lifetime value
Quantified impact of product and customer experience innovations
Faster, more confident decision-making grounded in data and experimentation
Strong alignment between product, marketing, and operational performance drivers
Increased ROI on Growth investments and initiatives
JOB REQUIREMENTS
Experience & Leadership
10–15+ years in analytics, business analytics, product analytics, or customer analytics
5+ years leading high-performing analytics teams in a growth, product, or enterprise environment
Proven ability to influence senior leaders and drive measurable business outcomes
Full-Funnel & Enterprise Performance Analytics
Deep expertise in full-funnel analytics across the customer lifecycle (acquisition through retention and collections)
Strong experience in cohort analysis, funnel decomposition, segmentation, and unit economics
Ability to diagnose performance drivers, identify risks, and quantify growth opportunities
Proven ability to connect operational metrics to financial outcomes (revenue, margin, LTV, ROI)
Growth Measurement & Experimentation
Strong experience designing and implementing measurement frameworks for product features and customer experience initiatives
Deep expertise in experimentation (A/B testing, holdouts, quasi-experimental methods) and causal inference
Ability to quantify incremental impact of product, marketing, and operational changes
Experience embedding analytics within cross-functional product or growth teams
Forecasting, Modeling & Decision Support
Experience building forecasting models, scenario analysis, and predictive analytics to support planning and investment decisions
Ability to translate complex analyses into clear, actionable recommendations for business leaders
Strong orientation toward forward-looking insights and decision enablement
Technical & Data Fluency
Proficiency in SQL and Python or R; experience with modern cloud data platforms (e.g., Snowflake, Databricks)
Familiarity with BI tools (Power BI, Tableau, Sigma) and scalable analytics environments
Strong understanding of data modeling, data quality, and governance principles
Operational Excellence & Analytics Delivery
Experience building scalable analytics processes and repeatable frameworks for insight generation and experimentation
Strong focus on data quality, consistency, and reliability of analytical outputs
Ability to balance enterprise standardization with agility at the product or team level
Preferred
Experience in Retail, Financial Services, FinTech, or multi-brand consumer environments
Experience working within product-led or growth-focused operating models
COMPENSATION/BENEFITS
Competitive compensation
Full health benefits-Medical/Dental/Vision
401(k) match, (5%/4%)
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 and covered parking
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.