Director, Data Strategy, Data Products & Activation

Prudential Financial • Newark, NJ

5d • Hybrid

About The Position

The MarTech, AI & Data Strategy team is central to Marketing's transformation, owning the platforms, data, and AI capabilities that power modern marketing. This role leads the pillar responsible for building a unified, governed, AI-ready data foundation and the portfolio of data products built upon it. The Director will set data strategy, shape a multi-year data product portfolio, establish governance and identity solutions, and enable self-serve access to trusted, activation-ready data across the marketing organization. This role owns the data and platform layer feeding analytics partners with clean, connected, closed-loop signal to prove and grow marketing's impact, tying each data product to measurable value. The position operates in a highly matrixed environment, serving as an alignment hub across Enterprise Data Office, Analytics, Technology, Privacy, and Legal.

Requirements

• 10+ years of progressive experience in data strategy, data management, data product management, or marketing data and technology, including 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).
• 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.
• Close partnership with an Enterprise Data Office or equivalent central data function.

Nice To Haves

• 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 (e.g., data governance, Adobe/Salesforce platform credentials, or privacy like CIPP/US).

Responsibilities

• Own the end-to-end marketing data strategy, defining a roadmap from fragmented data to a unified, governed, identity-resolved foundation.
• Define and maintain a multi-year data product portfolio plan, identifying new opportunities, modernization needs, and rationalization paths.
• Establish clear standards for evaluating data product investments based on expected value, feasibility, and adoption impact.
• Champion data democratization by establishing self-serve access for marketers and other business functions to query trusted data directly.
• Define, build, and productize certified, AI-ready data products that require no data preparation for activation.
• Institutionalize the full data product lifecycle, from discovery and design through build, launch, iteration, and retirement.
• Drive user-centric product design, ensuring reliability, clarity, trust, and accessibility from the outset.
• Define KPIs, success metrics, and ROI models for each data product to measurably improve decisioning, operational efficiency, omnichannel performance, and AI readiness.
• Own the marketing data intelligence layer, overseeing its implementation and management for clean, connected, and structured signals from all platforms and sources.
• Establish and run the marketing data governance operating model, including data quality SLAs, stewardship, standards, and accountability.
• Oversee metadata management, data lineage, and the data catalog to ensure data assets are discoverable, documented, and trusted.
• Evaluate, select, and implement an identity resolution capability to create a persistent, trusted customer and advisor profile.
• Align marketing governance and identity with enterprise standards by partnering with the Enterprise Data Office.
• Ensure all marketing data is captured, stored, and used compliantly, with a consent-aware and privacy-first approach, in partnership with Privacy, Legal, and Compliance.
• Proactively manage data and operational risk, embedding privacy-by-design across the foundation and activation paths.
• Champion responsible data usage and ethical AI practices.
• Own the data and audience layer of the CDP and marketing automation platforms, ensuring profiles, segments, and audiences are governed, accurate, and activation-ready.
• Ensure data is captured from all sources and instrumented for closed-loop measurement and attribution.
• Own campaign taxonomy, signal/event capture, and attribution data re-ingestion to support continuous measurement and growth.
• Implement ongoing performance monitoring for data products, including availability, quality, usage, satisfaction, and business outcomes.
• Champion iteration and innovation through user feedback, usage insights, and emerging technology.
• 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 upward with clarity and confidence, keeping senior leadership informed and aligned.
• Lead a blended team of employees and contractors.

Benefits

• Market competitive base salaries, with a yearly bonus potential at every level.
• Medical, dental, vision, life insurance, disability insurance.
• Paid Time Off (PTO), and leave of absences, such as parental and military leave.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period).

What This Job Offers

• Job Type: Full-time
• Career Level: Director