Senior Director, Customer Performance Analytics
Senior Director, Customer 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 Senior Director, Customer 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 Senior 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
Customer Analytics Strategy & Segmentation
Define and evolve customer segmentation frameworks, personas, behavioral cohorts, and customer value models
Develop customer lifetime value (LTV), unit economics, and customer health measurement frameworks
Identify customer needs, behaviors, motivations, and opportunities through advanced analytics and segmentation
Translate customer insights into actionable recommendations that improve customer outcomes and business performance
Full-Funnel Performance Analytics & Optimization
Lead end-to-end analysis of the customer lifecycle (acquisition → application → conversion → servicing → retention → collections) to identify performance drivers, bottlenecks, and growth opportunities
Diagnose conversion leakage, retention risks, and margin dynamics using cohort analysis, funnel decomposition, and behavioral segmentation
Quantify drivers of customer growth, engagement, retention, and lifetime value across products and experiences
Translate analytical findings into clear, prioritized actions that drive measurable business outcomes
Growth Measurement & Experimentation within Product Pods
Embed analytics support within Growth product pods and customer journey teams
Design and implement measurement frameworks to quantify the incremental impact of product features, customer experience enhancements, personalization strategies, and innovations
Establish and govern test-and-learn frameworks, experimentation standards, and causal inference methodologies
Ensure 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, customer experience strategies, and investment decisions
Proactively identify emerging customer risks and growth opportunities through trend analysis, predictive signals, and scenario modeling
Support strategic planning, forecasting, and decision-making through robust analytical models
Serve as a trusted advisor to Growth leadership on customer performance optimization and trade-off decisions
Executive Reporting & Analytics Excellence
Deliver concise, insight-driven executive dashboards and scorecards focused on customer performance and growth drivers
Ensure reporting highlights actionable insights—not just metrics—enabling faster and better decisions
Ensure high data quality, integrity, and governance across all analytical outputs
Establish repeatable processes for customer performance analysis, experimentation readouts, and insight delivery
MAJOR PRODUCTS & DELIVERABLES
Customer segmentation, persona, and behavioral cohort frameworks
Customer journey analytics, conversion analyses, and lifecycle performance models
Customer lifetime value (LTV) and unit economics frameworks
Full-funnel customer performance analytics and diagnostic frameworks
Experimentation design, analysis, and impact reporting
Incrementality measurement for product features, personalization strategies, and customer experience initiatives
Forecasting models and customer performance trend analyses
Executive dashboards and customer performance scorecards focused on insight and actionability
OUTCOMES
Clear identification of customer growth opportunities and performance risks across the full customer lifecycle
Measurable improvement in conversion, retention, engagement, customer experience, and customer lifetime value
Quantified impact of product features, personalization strategies, and customer experience innovations
Faster, more confident decision-making grounded in customer insights and experimentation
Strong alignment between product, customer experience, operational performance, and business outcomes
Increased customer value and enterprise growth driven by data-informed actions
JOB REQUIREMENTS
Experience & Leadership
10–15+ years in customer analytics, product analytics, business analytics, or enterprise 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
Customer Analytics & Full-Funnel Performance
Deep expertise in customer analytics across the full customer lifecycle (acquisition through retention and collections)
Strong experience in customer segmentation, persona development, cohort analysis, behavioral analytics, and unit economics
Ability to diagnose customer performance drivers, identify risks, and quantify growth opportunities
Proven ability to connect customer behavior and operational metrics to financial outcomes including revenue, margin, and LTV
Growth Measurement & Experimentation
Strong experience designing and implementing measurement frameworks for product features, customer experience initiatives, and personalization strategies
Deep expertise in experimentation (A/B testing, holdouts, quasi-experimental methods) and causal inference
Ability to quantify incremental impact of customer-focused initiatives and business 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
Preferred
Experience in Retail, Financial Services, FinTech, or multi-brand consumer environments
Experience working within product-led or growth-focused operating models
Experience supporting customer experience, personalization, loyalty, or customer lifecycle optimization initiatives
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
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.
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.