Consumer Data Readiness Specialist

Consumer Data Readiness Specialist - Media & Activation The Consumer Data Readiness Specialist - Media & Activation is a hands-on operational role ensuring global consumer media and activation data is complete, accurate, privacy-compliant, and ready for use across marketing platforms, measurement systems, and AI-powered personalization tools. Scope Global Key Tasks - Maintain consumer media and activation data attributes, ensuring complete, accurate, consistent, and AI-ready audience profiles, behavioral signals, campaign tags, identity keys, and segment classifications. - Investigate and resolve activation data quality issues end-to-end across CDP, CRM, media platforms, clean rooms, and measurement systems. - Define and document data mapping rules and integration logic to harmonize, deduplicate, and structure consumer data for both human use and machine interpretability. - Validate consent signals, privacy flags, opt-in/opt-out status, and usage rights to ensure all activation and AI data flows meet GDPR, CCPA, ePrivacy, and local requirements. - Manage operational interactions with media data partners and platform vendors, monitor data feeds, flag anomalies, and track resolution. - Integrate new consumer activation data sources by validating formats, aligning taxonomies, confirming consent compliance, and ensuring readiness for platform ingestion and AI activation. - Support media measurement, effectiveness analytics, MMM, and CPLT by ensuring audience and campaign data is structured, mapped, and quality-assured for attribution, reach/frequency, and ROI needs. - Maintain audience taxonomies, including segment definitions, interest/intent classifications, lifecycle stages, and channel-specific structures, ensuring global consistency and AI interpretability. - Use AI tools such as Copilot, GenAI assistants, and automation scripts to improve data validation, anomaly detection, and documentation. - Identify automation opportunities for audience quality scoring

consent anomaly detection, identity matching, and campaign tagging validation. - Create and maintain SOPs, data flow diagrams, consent logic maps, platform specifications, audience dictionaries, and troubleshooting guides for users and AI context layers. - Support training and onboarding of local marketing teams and data stewards on activation data standards, privacy requirements, platform tools, and AI-enabled workflows. - Drive continuous improvement by flagging recurring issues, proposing process enhancements, and supporting AI-enabled tools and workflows. Qualifications - Bachelor’s degree in Marketing, Digital Media, Business, Data Analytics, Information Management, or related field. - 3-5 years of experience in digital/media data operations, audience data management, CDP/CRM data management, or marketing technology - ideally in FMCG, Consumer Health, Pharmaceuticals, or Retail/eCommerce. - Hands-on experience with consumer activation platforms (CDP, CRM, DMP, DSP) and familiarity with audience data structures, identity resolution concepts, and cross-platform data flows. - Working experience with media data ecosystems - including walled gardens (Meta, Google, Amazon), retail media networks, programmatic platforms, and clean room environments. - Working knowledge of data privacy regulations (GDPR, CCPA, ePrivacy) and practical experience validating consent, data usage rights, and privacy compliance in media/activation data flows. - Experience with 1P data collection (web, app, CRM), 2P data partnerships, and 3P audience data providers - understanding integration challenges and quality/compliance implications. - Experience defining and applying data mapping rules, deduplication logic, and harmonization standards across multiple consumer data sources and platforms. - Strong analytical and problem-solving skills - ability to investigate data issues systematically and drive resolution across complex, multi-platform environments. - Familiarity with data and marketing tools (e.g., SQL, Excel advanced, Power BI, CDP tools like Treasure Data/Salesforce/Adobe, Google Analytics, campaign management platforms), including familiarity with Marketing Mix Modeling (MMM) and attribution methodologies - AI-curious and AI-literate - comfortable using GenAI tools in daily work, understanding how data quality and structure impact AI-driven personalization, lookalike modeling, and automated optimization, and eager to explore AI applications in media data operations. - Detail-oriented with strong organizational skills and ability to manage multiple parallel workstreams. - Experience creating process documentation, SOPs, and training materi