Upbound Group

Vice President, Enterprise Data & Analytics (On-site in Plano, TX)

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.

JOB OVERVIEW:

The Vice President of Enterprise Data and Analytics is a strategic executive role responsible for driving company growth and expanding market share through advanced data capabilities, business intelligence, and AI-driven insights. This leader will architect and execute enterprise-wide data strategies that enhance customer journeys, optimize acquisition and retention, and fuel innovation across both B2B and B2C channels.

DUTIES AND RESPONSIBILITIES:

• Lead the development of a data-driven culture focused on innovation, experimentation, and continuous learning.
• Champion AI and self-learning systems to uncover actionable insights and accelerate business outcomes.
• Oversee CDP strategy including intake processes, triggers, cohort development, and audience segmentation.
• Maximize CDP capabilities to reduce churn, identify new customer segments, and increase lifetime customer value.
• Drive companion analytics to support seamless customer journey flows and portfolio growth.
• Lead predictive analytics initiatives across customer behavior, inventory, pricing, and category preferences.
• Develop and refine funnel analytics to ensure fluid handoffs in connected commerce environments.
• Amplify in-house Marketing Mix Modeling (MMM) for forecasting, attribution, and paid media success.
• Amplify rewards and loyalty for long term growth through effective P&L efficiency.
• Utilize tools to drive advanced segmentation and channel performance insights.
• Align digital analytics with audience segmentation to optimize engagement and conversion.
• Lead inventory analytics to define perfect assortment and improve supply chain efficiency.
• Drive pricing analytics at both product and customer levels to enhance profitability and competitiveness.

ADDITIONAL/SHARED RESPONSIBILITIES:

• Partner with the respective businesses to understand growth opportunities and support new initiatives and innovation.
• Partner with Data governance to support frameworks for data quality, optimization, architecture, privacy, compliance, and orchestration.
• Partner with brand teams to measure and interpret brand awareness metrics and their impact on performance. 
• Partner with the Voice of the Customer (VOC) and Customer Experience team to optimize customer journeys and product strategy.

SKILLS AND QUALIFICATIONS:

• Minimum of 15 years’ experience in data, analytics or technology roles, 10 years’ experience in leadership roles
• Bachelor’s degree required, Advanced degree preferred in Data Science, Engineering, Computer Science, Business Analytics, or Statistics
• Certifications preferred: Certified Analytics Professional (CAP), Google Cloud or AWS Data Engineering certifications, AI/ML certifications from recognized platforms
• Experience building and scaling large data teams across multiple functions
• Experience leading cross-functional initiatives involving marketing, operations, and technology
• Demonstrated ability to use data to drive revenue growth, customer retention, and operational efficiency
• Experience influencing C-suite and board-level decisions with data insights
• Experience in Retail, E-Commerce, and Marketing business models
• Familiarity with geo-location analytics, SKU trends, and store influence metrics.
• Background in both B2B and B2C environments.
• Proven executive leadership in enterprise data, analytics, and AI.
• Deep expertise in CDP, predictive modeling, and digital analytics platforms.
• Strong understanding of customer identity, segmentation, and lifetime value strategies
• Experience in marketing analytics, media mix modeling, and funnel optimization.
• Ability to translate complex data into strategic business decisions.
• Ability to define and drive a long-term data strategy aligned with enterprise goals.
• Translate complex analytics into actionable business strategies.
• Lead and influence across departments including Marketing, Operations, Technology, and Finance.
• Build strong partnerships with executive peers and field leadership.
• Build and scale high-performing data and analytics teams.