Director, Data Strategy, Data Products & Activation

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 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 modern   MarTech   and data stack — CDP (e.g., Adobe Experience Platform), marketing automation (e.g., Marketo, SFMC), and enterprise data environments (EDW / data   warehouse) —   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 management,   upward-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, or   another   regulated, 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).

-
Bachelor's 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 cr