Consumer Data Readiness Specialist - Media & Activation

Stack

Responsibilities

• ▹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

Requirements

• ▹Bachelor's degree in Marketing, Digital Media, Business, Data Analytics, Information Management or a 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, with the ability to investigate data issues systematically and drive resolution across complex, multi-platform environments
• ▹Familiarity with data and marketing tools (e.g., SQL, advanced Excel, 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 the ability to manage multiple parallel workstreams

Soft skills