Director, Audience Strategy and Customer Data
Listed on 2026-07-30
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IT/Tech
Data Analyst, Data Engineering, Business Systems & Technology Analysis, IT Business Analyst
Director, Audience Strategy & Customer Data
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/Mar Tech 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.
What's in it For You?
- Hybrid Work Model:
We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. - Flexibility & Work-Life Balance:
Flex…
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