O pozici
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. The role sits within the Global Consumer Data team and focuses on data quality, platform data management, consent validation, audience taxonomy, and process documentation to enable trusted, activation-ready consumer data at scale.
This role suits someone who enjoys working in detail: investigating data flow issues across the media and activation ecosystem, ensuring audience segments are built on clean and consented data, validating pipelines from collection points to activation endpoints, and maintaining standards that make consumer data usable, measurable, and compliant across markets. The role operates with an AI-first mindset, recognizing that clean, consented, identity-resolved data enables AI-driven personalization, lookalike modeling, propensity scoring, and automated media optimization. The specialist ensures data is not only correct, but responsibly usable by machines at speed and scale.
Co budeš dělat
- 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.
Koho hledáme
- 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 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 materials.
- Effective communicator — able to work across cultures and functions, explain data and privacy topics clearly to non-technical stakeholders.
- Proactive, self-directed, and comfortable working in a global, matrixed environment.
- Growth mindset — views AI as a multiplier for marketing effectiveness and actively seeks to integrate AI into workflows.
- Fluent English required; additional languages a plus.
Benefity
- At Bayer, we are committed to transparency and equal pay for equal work or work of equal value. Due to differences in currencies and local compensation structures, detailed salary information will be shared with candidates during the recruitment process once they are identified as potential prospects. Final compensation is determined based on objective factors such as experience, qualifications, scope of responsibility. This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.
- Benefits may vary depending on role and employment conditions.
- Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
- Bayer respects and applies the Whistleblower Act in Poland.
