Responsibilities

• 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.

Requirements

• 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

• 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).

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).