Director, Data Strategy, Data Products & Activation

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

Marketing is transforming how it turns data into growth. At the center of that transformation is our Mar Tech , 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.

• 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.

• 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 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 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.

• 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.

• 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.

• 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 .

• 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 platforms.
• Demonstrated ownership of core data governance…