Norton Blake
CDP & Audience Strategy
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Manager, Data Analytics – CDP & Audience Strategy
Location: London / Hybrid
Duration: 6 months
Start: ASAP
Inside IR35
We are looking for an experienced Data Analytics / CDP Manager to support the delivery and development of Customer Data Platform capabilities, with a strong focus on audience creation, activation and data quality.
This is a hands-on role sitting between marketing, data and technology teams, helping markets build and activate audiences while ensuring the underlying customer data is accurate, usable and reliable.
Key Responsibilities
- Build, validate and deliver customer audiences and segments within a CDP for marketing campaigns.
- Activate audiences across channels including Google Ads, Meta and other marketing platforms.
- Troubleshoot CDP integrations, APIs, connectors, data pipelines and audience activation failures.
- Investigate data quality issues, audience discrepancies, match rates and first-party data limitations.
- Support the development of audience strategies, including behavioural segmentation, taxonomy and unified audience frameworks.
- Work across marketing, data and engineering teams to resolve technical and campaign delivery issues.
- Support data governance, metadata, taxonomy and naming standards across the CDP environment.
- Manage requirements and audience requests across multiple markets and stakeholders.
- Analyse campaign/CDP performance and identify opportunities to improve audience utilisation and activation.
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Key Skills
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- Strong hands-on experience with Customer Data Platforms (CDP) and audience management.
- Proven experience creating and activating audiences/segments, rather than solely defining CDP strategy.
- Experience activating customer audiences across Google Ads, Meta and/or other paid and owned channels.
- Strong understanding of first-party customer data, segmentation and audience strategy.
- Experience investigating data quality, integrations, APIs, connectors or pipeline issues.
- Good technical understanding with the ability to work effectively with data and engineering teams.
- Experience with platforms such as Treasure Data, Adobe Experience Platform / RT-CDP, Tealium, Salesforce Data Cloud, Relay42, Segment or similar would be highly beneficial.
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