Director, Data Strategy, Data Products & Activation

The Opportunity

Marketing is transforming how it turns data into growth. At the center of that transformation is ourMarTech 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 builders 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 marketings impact while tying every data product to measurable value.Youlloperatein a highly matrixed environment as the alignment hub across the Enterprise Data Office Analytics Technology Privacy and Legal.

What Youll 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 andmaintaina 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 andover timepartners 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 andproductizecertified AI-ready data productsthat are activation-ready out of the box with no data prep.

• 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 improvesdecisioning operational efficiency omnichannel performance and AI readiness.

• Own the marketing data intelligence layer oversee its implementation and ongoingmanagementso 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 catalogso every data asset is discoverable documented and trusted.

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

• Align toenterprise standardsby 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 riskalongside Legal Compliance and Security embedding privacy-by-design across the foundation and every activation path.

• Championresponsibledata usage and ethical AI practicesacross 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 MarketoSFMC) ensuring profiles segments and audiences are governedaccurate 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-ingestionso 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 innovationthrough user feedback usage insights and emerging technology continuously raising the bar on trust and value.

LEAD ACROSS THE MATRIX

• Serve as the alignment hubfor 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 teamof 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 ina leadershipor lead-architect capacity.

• Experience building and scaling data products or enterprise data platforms.

• Demonstrated ownership of core data governance disciplines metadata management data lineage data cataloging data quality and stewardship.

• Hands-on experience evaluating and implementing identity resolution / identity graph capabilities and CDP platforms.

• Deep working knowledge of the modernMarTechand data stack CDP (e.g. Adobe Experience Platform) marketing automation (e.g. Marketo SFMC) and enterprise data environments (EDW / datawarehouse) plus a solid grasp of modern data engineering and architecture.

• Proven ability to partner with senior business executives translate their priorities into roadmaps and drive measurable value.

• Strong command of data privacy and consent requirements and how to operationalize compliant data management in a regulated environment.

• Experience enabling analytics and measurement teams through instrumentation taxonomy and data capture that support closed-loop measurement and attribution.

• Excellent communication stakeholder managementupward-management and executive storytelling skills including close partnership with an Enterprise Data Office or equivalent central data function.

PREFERRED QUALIFICATIONS

• Experience in financial services insurance oranotherregulated data-sensitive industry.

• Familiarity with AI/ML enablement preparing AI-ready data and supporting model deployment and real-time decisioning.

• Fluency with cloud-native data stacks and modern product management methodologies (Agile Design Thinking Lean Product).

• Bachelors degree in a relevant field (data computer science engineering analytics or business); an advanced degree is a plus.

• Relevant certifications welcomed e.g. data governance Adobe/Salesforce platform credentials or privacy (such as CIPP/US).

The Ideal Candidate

• A strategist and a builder comfortable setting vision and rolling up sleeves to stand up capabilities from the ground up.

• A product thinker treats data as a product obsessing over adoption usability and the value it creates for the people who use it.

• A translator fluent in both business and marketing outcomes and the technical realities of data platforms and governance.

• An influencer earns trust and drives alignment across senior and cross-functional stakeholders without leaning on authority.

• A steward brings discipline and accountability to data quality governance privacy and responsible AI.

• Biased for action moves from strategy to production quickly favoring standardization and speed.

• Outcome-oriented ties every data investment tomeasurablemarketing impact.

How Success Is Measured

• Adoption and business impact of data products across marketing and partner functions.

• Demonstrated value creation operational efficiency decision velocity omnichannel performance and AI enablement.

• Maturity and effectiveness of the data product operating model.

• Quality and satisfaction of cross-functional partnerships.

• Scalability performance and trustworthiness of the data product ecosystem.

Work Arrangement

This is a full-time hybrid role based in Newark NJ. The successful candidate is expected to work onsite at the Newark office three (3) days per week with flexibility to work remotely for the balance of the week.