VP, Customer Data Strategy

Prologis • Newport Beach, CA

1d • Onsite

About The Position

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next. Prologis is evolving its Customer Data Strategy into a dual-track model, where strategic insights and customer data architecture operate as distinct but integrated capabilities. As VP, Customer Data Strategy , you will serve as the business owner of the Customer Data domain , accountable for defining data sets that, how our data is structured, and how our curated data set fuels enterprise decision-making. You will lead a team of four , working closely with technology, analytics, and customer-facing partners to ensure scalable, trusted data capabilities that drive business performance. This is not an IT or engineering role. Although knowledge of data architecture will be critical to your success, you will be focused on defining strategy, requirements, and operational processes that guide our technology and analytics teams in building robust customer data foundations.

Requirements

• 12+ years in customer strategy, data management, enterprise transformation, or analytics product ownership.
• Strong track record of writing business requirements for data platforms, dashboards, or analytics tools.
• Experience preparing organizations for AI and analytics adoption, aligning data architecture and governance with strategic goals.
• Proven ability to translate customer data into strategic insights that drive commercial outcomes (e.g., improved conversion, retention, or segmentation).
• Hands-on proficiency with enterprise data platforms, including Salesforce CRM, modern CDPs, and VoC/NPS systems.
• Skilled in integrating data governance and privacy tools for compliant, insight-rich customer analytics.
• Fluency in modern customer data technology, spanning modular CDPs, AI-driven analytics tools, and feedback intelligence platforms.
• Experience operationalizing insights from Salesforce and cloud data environments to power retention, experience, and growth strategies.
• Experience working in or alongside CX, Field, or Strategy teams in a matrixed environment.
• Ability to simplify complex business problems into structured data and process solutions.
• Travel required up to 25%.

Nice To Haves

• Industry experience in real estate, logistics, infrastructure, or B2B SaaS.
• Understanding of enterprise customer data platforms and feedback systems.
• Knowledge of customer journey mapping, customer data unification, or process design.
• Understanding of how leasing workflows, supply chains, 3PLs, and logistics generate and consume customer data.
• Familiarity with how these industries structure customer ecosystems (e.g., occupiers, logistics providers, e-commerce platforms).
• Experience with GTM strategy and enablement.

Responsibilities

• Customer Data Strategy Ownership Define enterprise-level priorities and guiding principles for how customer data is captured, connected, and used.
• Translate business and customer needs into structured data requirements that enable actionable insights.
• Serve as the business owner of the Customer Data domain with decision rights on taxonomy, quality SLAs, and access policies.
• While this role does not directly build ETL or ML models, manage marketing technology operations, or function as a reporting factory, it sets the strategic direction and business requirements that guide those capabilities.
• Customer Insight Generation Generate and deliver insight briefs that help improve overall deal conversion.
• Collaborate with Global Strategy & Analytics, Operations, and Customer Solutions partners to identify and maintain consistent customer signals that guide decision-making and improve performance.
• Ingestion and Integration Requirements Oversee the business approach for integrating customer data across key systems and sources.
• Define tagging logic, metadata standards, field definitions, and taxonomy to ensure semantic consistency.
• Serve as the business-side partner for data integration, without directly managing technology infrastructure.
• Data Governance and Quality Stewardship Champion business accountability for customer data quality, completeness, and governance.
• Collaborate with Legal, InfoSec, and IT to embed privacy, compliance, and governance frameworks.
• Represent customer data as a domain within enterprise data governance initiatives.
• Customer Process Redesign Partner with field and operations teams to evolve business processes that depend on accurate and timely customer data.
• Define clear business process requirements that improve data accuracy, timeliness, and usability, especially in recurring moments like earnings cycles and annual business review preparation.
• Enablement and Cross-Functional Partnership Ensure trusted customer data is embedded into field tools (e.g., Salesforce) and internal decision-making workflows.
• Collaborate with customer-facing and Data & Analytics teams to ensure data systems support segmentation, insights, and performance measurement.
• Partner with internal customers to identify friction points in how data is captured and used.
• Leadership & Influence Lead a team of four and a virtual network of cross-functional contributors (data stewards, analysts, business leads).
• Serve as the enterprise voice for customer data architecture in roadmap, investment, and governance forums.
• Influence without authority across Technology, Field Ops, Strategy, and Customer Experience.
• AI & Machine Learning Enablement Support enterprise readiness for applying AI, predictive modeling, and advanced analytics to customer and business workflows.
• Translate commercial and customer use cases into structured data requirements for AI workflows.
• Establish metadata, taxonomy, and tagging standards that maximize the utility of generative AI tools across field and executive workflows.

Benefits

• All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents.
• Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits.
• Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation.
• We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed