Director, Data Strategy, Data Products & Activation

About this role

Job Classification: Data Science & Analytics - Data Science & Analytics

The Opportunity  

Marketing is transforming how it turns data into growth. At the center of that transformation is our   MarTech , AI & Data Strategy team — the group that owns the platforms, data, and AI capabilities that power modern marketing. We are building one trusted, governed, AI-ready data foundation so that every marketer, model, and campaign draws from a single version of truth.  

The Director, Data Strategy & Activation Readiness leads the pillar responsible for that foundation — and for the portfolio of data products built on top of it. This is a builder's role for a leader who can set data strategy, shape a multi-year data product portfolio, stand up governance and identity, and make trusted, activation-ready data self-serve across the marketing organization. You will own the data and platform layer that feeds our analytics partners the clean, connected, closed-loop signal they need to prove and grow marketing's impact — while tying every data product to measurable value.   You'll   operate   in a highly matrixed environment as the alignment hub across the Enterprise Data Office, Analytics, Technology, Privacy, and Legal.  

What You'll Do  

SET THE DATA AND DATA-PRODUCT STRATEGY  

• Own the end-to-end marketing data strategy   — the roadmap that moves the organization from fragmented, list-pull-driven data to a unified, governed, identity-resolved foundation.  

• Define and   maintain   a multi-year data product portfolio plan   — surfacing new opportunities, modernization needs, and rationalization paths as priorities evolve.  

• Establish clear standards for evaluating data product investments   — expected value, feasibility, and adoption impact — so the team invests where it matters most.  

• Champion data democratization   — stand up self-serve access so marketers, and   over time   partners across Distribution, HR, and beyond, can query trusted data directly without manual pulls or analyst dependency.  

BUILD AND SCALE ACTIVATION-READY DATA PRODUCTS  

• Define, build, and   productize   certified, AI-ready data products   that are activation-ready out of the box, with no data prep   required .  

• Institutionalize the full data product lifecycle   — from discovery and design through build, launch, iteration, and retirement.  

• Drive user-centric product design   — reliability, clarity, trust, and accessibility built in from the start.  

• Define KPIs, success metrics, and ROI models for every data product , ensuring each one measurably improves   decisioning , operational efficiency, omnichannel performance, and AI readiness.  

• Own the marketing data intelligence layer   — oversee its implementation and ongoing   management   so signals from every platform and source are clean, connected, structured, and ready for activation and measurement.    

ESTABLISH GOVERNANCE, IDENTITY, AND TRUST  

• Establish and run the marketing data governance operating model   — data quality SLAs, stewardship, standards, and clear accountability.  

• Oversee metadata management, data lineage, and the data catalog   so every data asset is discoverable, documented, and trusted.  

• Evaluate, select, and implement an identity resolution capability   to stitch identities across sources into one persistent, trusted customer and advisor profile — the enterprise identity spine.  

• Align to   enterprise standards   by partnering with the Enterprise Data Office to keep marketing governance and identity consistent with enterprise policies and frameworks.  

ENSURE PRIVACY, COMPLIANCE, AND RESPONSIBLE DATA USE  

• Ensure all marketing data is captured, stored, and used compliantly   — consent-aware and privacy-first — in partnership with Privacy, Legal, and Compliance.  

• Proactively manage data and operational risk   alongside Legal, Compliance, and Security, embedding privacy-by-design across the foundation and every activation path.  

• Champion   responsible   data usage and ethical AI practices   across every data product and decisioning path.  

POWER ACTIVATION AND CLOSED-LOOP MEASUREMENT  

• Own the data and audience layer of the CDP and marketing automation platforms   (e.g., Adobe Experience Platform, Marketo,   SFMC) —   ensuring profiles, segments, and audiences are governed,   accurate , and activation-ready.  

• Ensure data is captured from all sources   — every channel, event, and touchpoint — and instrumented so the analytics team can execute closed-loop measurement and attribution.  

• Own campaign taxonomy, signal/event capture, and attribution data re- ingestion   so measurement becomes a continuous growth engine rather than a rear-view report.  

MONITOR, MEASURE, AND CONTINUOUSLY IMPROVE  

• Implement ongoing performance monitoring across data products   — availability, quality, usage, satisfaction, and business outcomes.  

• Champion iteration and innovation   through user feedback, usage insights, and emerging technology — continuously raising the bar on trust and value.  

LEAD ACROSS THE MATRIX  

• Serve as the alignment hub   for priorities, standards, roadmaps, and delivery timelines across Marketing, Analytics, Technology, Data Engineering, the Enterprise Data Office, Privacy, and Legal.  

• Operate effectively without direct authority   — influencing and aligning a complex stakeholder landscape.  

• Manage up with clarity and confidence   — keeping senior leadership informed, aligned, and bought in on strategy, trade-offs, and progress.  

• Lead a blended team   of employees and contractors spanning governance   & readiness and delivery & automation .  

What You Bring  

REQUIRED QUALIFICATIONS  

• 10 + years of progressive experience in data strategy, data management, data product management, or marketing data and technology, including time in   a leadership   or lead-architect capacity.  

• Experience building and scaling data products or enterprise data pla

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