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. #J-18808-Ljbffr