Director, Audience Strategy and Customer Data

Summary of the Role:

The Director, Audience Strategy & Customer Data will define how Thomson Reuters understands, segments, and engages customers to drive relevant customer experiences and measurable brand and pipeline growth. This is a strategy and business-outcomes role first: you'll set the vision for a unified customer data and audience approach, then direct the technology and data infrastructure, including modern CDP capabilities and AI-driven tools, needed to execute it.

We're looking for a commercially minded leader with strong customer-experience instincts, someone who thinks in terms of business impact and translates that into data and technology requirements, not the reverse. You'll need to lead through influence across a complex organization, bringing clarity and direction to cross-functional initiatives spanning data, technology, and go-to-market teams. Deep technical fluency in CDP/MarTech is a plus, not a prerequisite: the bar here is strategic judgment and the ability to connect customer insight to business performance.

About the Role:

Customer Data Platform Ownership

• Own the strategy, roadmap, and operational health of the Customer Data Platform (CDP), including data ingestion, data quality, identity resolution, and profile management.

• Ensure the CDP supports scalable activation across downstream marketing and sales platforms.

Audience & Segmentation Strategy

• Define and operationalize audience strategy across acquisition, cross-sell, up-sell, and retention use cases.

• Oversee segmentation governance, audience definitions, and lifecycle use cases in partnership with Marketing strategy and planning teams.

Data Enrichment & Data Quality

• Lead third-party data enrichment initiatives (e.g., firmographic, intent, contact enrichment) to improve coverage, accuracy, and actionability of customer profiles.

• Drive standardization and continuous improvement of key attributes (e.g., job titles, personas, account linkage).

AI & Automation Enablement

• Sponsor and operationalize AI-powered capabilities (e.g., audience agents, data quality agents, whitespace analysis) within the CDP and affiliated platforms.

• Partner with enterprise Data & Analytics and Technology teams to ensure AI solutions are scalable, governed, and aligned to enterprise architecture standards.

Team & Delivery Leadership

• Lead and develop a high-performing team spanning audience operations, data engineering, product management, and delivery coordination.

• Establish clear delivery cadences, sprint governance, and prioritization in collaboration with PMO and engineering partners.

Cross-Functional Partnership

• Serve as a strategic partner to Marketing, Sales Operations, IT, Enterprise Architecture, Privacy Office, and Sourcing.

• Translate business needs into scalable data and audience capabilities while ensuring alignment with enterprise data and privacy standards.

Measurement & Impact

• Define success metrics tied to audience effectiveness, data quality improvements, activation adoption, and marketing-generated pipeline influence.

• Ensure transparency and reporting on progress, outcomes, and value creation.

About you:

Required

• Bachelor’s degree in a quantitative, technical, or business-related field, or equivalent experience.

• Significant experience leading customer data, audience strategy, marketing technology, or analytics functions in a complex, matrixed enterprise environment.

• Strong understanding of CDPs, marketing data ecosystems, and data-driven audience activation.

• Proven ability to lead cross-functional initiatives and influence senior stakeholders.

• Experience managing teams and external partners in a matrixed environment.

Preferred

• Experience with AI-enabled data or marketing platforms.

• Familiarity with enterprise data governance, privacy, and compliance considerations.

• Background working closely with demand generation and marketing analytics teams.

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