VP, Customer Data Strategist; Hybrid

VP, Customer Data Strategist

Work Locations:
With the exception of some select roles that have in-office requirements, A+E Global Media operates on a flexible model that allows for remote, hybrid or full time in office work (in certain locales).

Office locations include New York City, Los Angeles, Chicago, and Stamford, CT.

Our list of eligible states in which employees may work remotely includes:
California, Connecticut, Florida, Georgia, Illinois, Indiana, Maryland, Massachusetts, Michigan, Minnesota, Nevada, New Hampshire, New Jersey, New York, North Carolina, Oregon, South Carolina, South Dakota, Texas, West Virginia, Wisconsin, and Wyoming.

Do numbers tell you stories? Can you relay complex information in bite-sized nuggets to non-researchers? Do you enjoy influencing business decisions by providing fact-based recommendations infused with intuition? Our Research and Insights Team is comprised of wizards who practice the craft of "art and science." We spend much of our time looking back at performance — and even more time looking forward making actionable recommendations for growing our business.

We specialize in content, audience and revenue insights across all platforms. Come check out our pioneering work in predictive modeling, performance marketing and algorithms. Pocket protectors not required.

In this pivotal role, you will define how A+E turns its rapidly growing first-party audience data into a strategic business asset — designing the audience frameworks, use cases, and measurement models that connect our data to marketing, product, and revenue outcomes across the company. You will oversee our Analytics Engineering function, translating strategy into a working composable CDP and identity infrastructure, and will work to ensure that Digital, Marketing, and New Business leadership treat first-party data as a primary input that shapes strategy from the outset.

You will work in close coordination across the enterprise on shared business challenges and emerging analytical approaches.

More About What You'll Do:

• Define the strategic roadmap for our composable CDP and identity resolution capabilities, prioritizing use cases that drive measurable business value as new data sources come online
• Design and activate Audience Customer Journeys that increase engagement and revenue per user, defining the logic behind lifecycle stages, churn risk, and high-value customer segmentation
• Oversee our Analytics Engineering team, directing the build of activation pipelines that flow into Iterable, Adobe, and other downstream marketing and personalization tools
• Partner with our media agency's data platform (e.g., BLU) to connect owned audience signals with paid media performance, strengthening measurement of paid-plus-owned impact
• Champion first-party data as a starting point for strategy, not a downstream add-on — embedding it early into how Digital, Marketing, and New Business teams plan campaigns, product decisions, and growth initiatives
• Act as the senior voice in strategic planning conversations with Digital, Marketing, and New Business leadership, pushing toward decisions grounded in first-party data rather than assumptions or third-party proxies
• Define the KPIs and ROI frameworks — including lifts in engagement, retention, and conversion — that prove first-party data investments are driving business outcomes, sharing findings with leadership across the enterprise
• Apply AI and advanced analytics judgment to identify new opportunities from expanding first-party data, directing Analytics Engineering to bring them to life
• Maintain a strategic view of the identity, CDP, and data activation landscape, evaluating new AI-driven platforms and approaches relevant to A+E's data strategy
• Enact strategies that grow AEGM's first-party data footprint
• Design identity resolution and data architecture to accommodate new customer data sources as the business evolves — including potential new business lines, products, or organizational combinations
• Build governance and onboarding frameworks that allow new first-party data sets to be integrated into the existing CDP and identity infrastructure without…