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, Marketing Sciences & Customer Analytics (Growth) leads the strategy and execution of advanced marketing measurement, customer analytics, and personalization capabilities that drive profitable growth, marketing performance optimization, and data-informed decisioning. This role is accountable for quantifying and improving the effectiveness of marketing investments and customer experiences across the full customer lifecycle; from acquisition through engagement and retention to maximize conversion, lifetime value, and return on investment. 

The Director partners closely with Marketing, and Product Growth teams to embed marketing sciences and customer analytics into campaign strategy, customer journey design, and experience optimization. This includes designing and operationalizing measurement frameworks that quantify the incremental impact of media spend, targeting strategies, and personalization on customer acquisition, engagement, and retention. 

This role serves as the analytical engine for marketing performance and customer optimization, connecting marketing investment decisions and customer behavior with actionable insights that directly influence strategy, prioritization, and execution. 

KEY RESPONSIBILITIES 

Marketing Sciences & Program optimization 

• Lead measurement and optimization of marketing effectiveness and investment efficiency across digital and offline channels 

• Establish and scale Media Mix Modeling (MMM), attribution, and incrementality frameworks to quantify marketing impact 

• Design and govern test-and-learn experimentation frameworks to validate performance and continuously improve measurement models 

• Guide budget allocation and channel optimization using marginal return and incrementality insights 

• Drive analytic innovation using AI to decrease speed to insights and increase insights democratization 

• Partner with Marketing leadership to inform campaign strategy, investment prioritization, and in-flight optimization 

Customer Journey Analytics & Personalization 

• Lead end-to-end analysis of customer journeys (acquisition → application → conversion → servicing → retention) to identify friction points and growth opportunities 

• Diagnose conversion leakage, abandonment drivers, and engagement gaps using funnel analysis, cohort analysis, and behavioral segmentation 

• Develop segmentation frameworks to enable targeted marketing and personalized customer experiences 

• Partner with Marketing and Product teams to design and operationalize journey interventions and experience improvements 

• Quantify the incremental impact of personalization, targeting, and customer experience enhancements 

Marketing Measurement & Experimentation 

• Design and implement incrementality testing frameworks across media, campaigns, and customer experiences 

• Establish rigorous experimentation standards, including test design, execution, and interpretation 

• Apply causal inference methodologies to isolate drivers of marketing and experience performance 

• Ensure all major marketing and customer experience initiatives have defined success metrics, measurement plans, and post-launch evaluation 

• Drive a culture of experimentation, evidence-based prioritization, and continuous optimization 

Customer & Growth Analytics 

• Quantify drivers of customer acquisition, engagement, retention, and customer lifetime value (LTV) 

• Develop cohort-based and behavioral analytics to understand customer dynamics across segments and channels 

• Identify growth opportunities through deep analysis of marketing performance and customer behavior 

• Connect marketing and customer metrics to financial outcomes, including revenue, margin, and unit economics 

Performance Insights & Decision Enablement 

• Deliver forward-looking insights that inform marketing strategy, customer experience design, and growth investments 

• Proactively identify emerging risks and opportunities through trend analysis, predictive signals, and scenario modeling 

• Translate analytical findings into clear, prioritized actions that drive measurable business outcomes 

• Serve as a trusted advisor to Marketing and Growth leadership on performance optimization and investment decisions 

Targeted Executive Reporting & Visibility 

• Deliver concise, insight-driven dashboards and scorecards focused on key marketing and customer performance drivers 

• Ensure reporting highlights actionable insights (not just metrics) enabling faster and better decisions 

• Provide clear visibility into marketing ROI, CAC, conversion performance, and customer engagement across channels 

• Standardize critical reporting while minimizing low-value or redundant outputs 

Operational Excellence & Analytics delivery 

• Build scalable marketing analytics and customer analytics capabilities that support enterprise-level insights and agile execution 

• Ensure high data quality, integrity, and consistency across all analytical outputs 

• Establish repeatable processes for marketing measurement, experimentation readouts, and insight delivery 

• Continuously improve speed, sophistication, and business impact of analytics 

MAJOR PRODUCTS & DELIVERABLES 

• Media Mix Models (MMM) and marketing attribution frameworks 

• Incrementality testing models and experimentation design with impact measurement 

• Marketing performance optimization models and decision frameworks 

• Customer journey maps, funnel diagnostics, and conversion analyses 

• Segmentation frameworks and targeting strategies 

• Cohort analyses and customer lifetime value (LTV) models 

• Executive dashboards and marketing performance scorecards focused on insights and actionability 

OUTCOMES 

• Measurable improvement in marketing ROI and reduction in customer acquisition cost (CAC)  

• Increased efficiency and effectiveness of marketing spend allocation  

• Improved conversion, engagement, and customer retention across the customer lifecycle  

• Quantified impact of personalization, targeting, and customer experience initiatives  

• Reduced friction and abandonment across key customer journeys  

• Faster, more confident decision-making grounded in data and experimentation  

• Strong alignment between marketing investments, customer behavior, and business outcomes 

JOB REQUIREMENTS 

Experience & Leadership 

• 10–15+ years in marketing analytics, marketing science, or customer analytics  

• 5+ years leading analytics or marketing science teams  

• Proven ability to influence senior leaders and drive measurable growth outcomes  

Marketing Measurement & Analytics (Cross-Channel) 

• Deep expertise in Media Mix Modeling (MMM), attribution, and incrementality testing across omni-channel environments  

• Strong experience measuring performance across traditional (TV, radio, direct mail), digital (paid search, paid social, display, programmatic), and owned channels (CRM, email, app, web)  

• Ability to unify cross-channel measurement into a single view of marketing effectiveness and ROI  

• Strong understanding of full-funnel performance (acquisition through retention) across channels 

 Experimentation, Causal Inference & Signal Loss 

• Deep experience with experimentation frameworks (A/B testing, geo testing, holdouts, synthetic controls)  

• Strong grounding in causal inference methodologies to measure true incremental impact  

• Clear understanding of attribution limitations versus incrementality approaches  

• Experience navigating signal loss (e.g., cookie deprecation, iOS privacy changes) and evolving measurement strategies  

Advanced Analytics, AI & Emerging Capabilities 

• Experience applying machine learning and AI to marketing use cases (propensity modeling, LTV, targeting, optimization)  

• Familiarity with AI-driven analytics, including predictive modeling, automated insights, and advanced MMM approaches  

• Exposure to privacy-safe measurement approaches (clean rooms, modeled conversions, probabilistic attribution)  

Technical & Data Fluency 

• Proficiency in SQL and Python or R; experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery)  

• Experience with digital analytics and MarTech ecosystem (e.g., GA4, ad platforms, CRM/CDP systems)  

• Familiarity with BI tools (Power BI, Tableau, Sigma) and scalable analytics environments  

Customer & Growth Analytics 

• Strong experience in segmentation, personalization, and lifecycle analytics  

• Ability to diagnose funnel performance, conversion drivers, and retention dynamics  

• Proven ability to connect marketing and customer behavior to CAC, LTV, revenue, and margin outcomes  

Preferred 

• Experience in Retail, Financial Services, FinTech, or multi-brand consumer environments  

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  

• On-site gym and showers 

• Free car charging and covered parking 

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.