VP, Customer Strategy, Analytics & Measurement

About:

Bloomingdale's makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale's like no other store in the world. Across all brand touchpoints-from  to our newest small store concept, Bloomie's-everyone plays a critical role bringing our mission to life.

Our inclusive culture promotes diversity of background, thought and opinion. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative, while having a lot of fun along the way.

Job Overview:

The Vice President, Customer Strategy, Analytics & Measurement is a senior, enterprise-wide leader responsible for defining and activating the company's customer intelligence, analytics, and measurement strategy - and serving as the lead strategist and enterprise voice of the customer.

This role oversees analytics, data science, research, marketing measurement, and customer strategy, translating customer signals into insight, insight into action, and action into measurable growth. With a deep focus on digital, customer, and behavioral data, this leader ensures the organization has a shared point of view on who the customer is, how they are segmented and studied, and how customer insight informs planning, prioritization, and execution.

Operating at the intersection of customer strategy, AI-powered analytics, and enterprise execution, this role partners closely with Product, Digital, Marketing, Technology, Merchandising, and Finance to connect customer experience to business outcomes.

What You'll Own:

Enterprise Customer Intelligence & Decision Science

• Define and lead the end-to-end customer analytics, measurement, and customer strategy vision, spanning insight, modeling, experimentation, attribution, and optimization.
• Establish a clear Signals Insight Priority Action loop, ensuring customer data directly informs prioritization, sequencing, experience design, and investment decisions.
• Elevate customer intelligence from reporting to a decision-making and optimization engine embedded into enterprise operating rhythms.

Customer Strategy & Enterprise Customer Mindset

• Serve as the lead strategist and voice of the customer, defining how the organization segments, studies, and plans around customers.
• Own and evolve the enterprise customer segmentation strategy, including attitudinal, value, spend, lifecycle, luxury, and behavioral segments.
• Establish a common customer language and strategic frameworks used consistently across marketing, digital, stores, product, and leadership.
• Define the enterprise customer learning agenda, aligning research, analytics, and measurement to the most critical strategic questions.
• Design how the organization studies customers holistically, integrating experience, behavioral, brand, market, and financial signals.
• Translate customer insight into credible, directional business cases that inform initiative prioritization, sequencing, and investment.
• Shape customer reporting, scorecards, and executive narratives to ensure leaders have a clear, shared view of customer health, momentum, and risk.

Marketing Analytics, Attribution & Growth Optimization

• Own advanced contact strategy uplift modeling, including incrementality testing, holdout design, response curves, and frequency optimization.
• Lead audience strategy and targeting analytics, including segmentation activation, propensity modeling, suppression logic, and next-best-action frameworks.
• Oversee Marketing Mix Models (MMM) and modern hybrid approaches that combine MMM, experimentation, and multi-touch attribution.
• Drive multi-touch attribution (MTA) and causal inference approaches across paid, owned, earned, and retail media.
• Partner with Marketing and Finance to optimize budget allocation, channel mix, ROI, and customer outcomes.
• Establish a rigorous test-and-learn culture grounded in incrementality-based measurement.

Customer & Digital Analytics Leadership

• Oversee customer analytics across acquisition, engagement, retention, loyalty, lifetime value, and spend behavior.
• Lead digital analytics and instrumentation, ensuring best-in-class event design, tagging, identity resolution, and behavioral tracking.
• Partner with Product and Engineering to embed analytics into feature development, experimentation, personalization, and roadmap decisions.
• Ensure analytics supports both growth and experience quality, not just performance reporting.

Advanced Data Science, AI & Personalization

• Lead a high-impact data science organization spanning predictive modeling, machine learning, optimization, and real-time decisioning.
• Drive application of machine learning and LLMs across personalization, intent detection, insight generation, and experience optimization.
• Oversee customer spend index models, lifetime value frameworks, churn and growth predictors,…