Global Consumer Data & AI Acceleration Lead

Bayer CropScience Limited; Warszawa; On-site; PLN 300,043 - 385,769; Full time

Job summary

Bayer CropScience Limited is seeking a Global Consumer Data & AI Acceleration Lead in Warsaw. This role focuses on managing high-quality consumer data for AI-driven marketing, enhancing engagement through advanced consumer data processes.

The ideal candidate should have extensive experience in data management and governance, especially within FMCG or Pharma. This position offers a chance to work collaboratively across global teams to redefine data strategy and ensure compliance.

Qualifications

• 7+ years in consumer data management or governance, ideally in FMCG or Pharma.
• Proven ability to bridge technical and business teams.
• Fluent English required; additional languages a plus.

Responsibilities

• Support in setting and enforcing global data quality standards.
• Lead remediation workflows for data quality.
• Translate business needs into AI product requirements.

Skills

Consumer data management

Data governance

Marketing strategy

AI/GenAI knowledge

Education

Master’s in Marketing, Business Analytics, Data Science or Information Management

Tools

Snowflake

Databricks

CRM

Job description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where Health for all, Hunger for none is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining impossible. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Global Consumer Data & AI Acceleration Lead

The Global Consumer Data & AI Acceleration Lead sits at the intersection of consumer data excellence and AI‑powered marketing intelligence. The role ensures global consumer data — across research, media, behavioral and activation sources — is governed, harmonised, high‑quality and ready for AI‑driven personalisation, engagement and decision‑making. Combining advanced data stewardship, AI context engineering and scalable process design, this role translates the global consumer data vision into operational reality. It manages data ingestion, platform data flows, consent governance, taxonomy maintenance, quality remediation and local steward coordination while accelerating adoption of AI‑enabled consumer intelligence and activation products. Beyond traditional stewardship, the role designs how consumer data is structured, enriched, consented and contextualised so AI models can personalise accurately, marketers can activate confidently and commercial teams can engage consumers with relevance and speed. As AI becomes central to consumer engagement — powering personalisation, propensity models, next‑best‑action systems and media optimisation — consumer data must evolve from static audience lists and siloed research into dynamic, identity‑resolved, privacy‑compliant intelligence assets. This role drives that evolution globally by embedding AI‑readiness into data processes, taxonomies, consent frameworks and quality standards.

Responsibilities

• Support the Consumer Data Domain Lead in setting and enforcing global data quality standards, taxonomies, consent frameworks and mapping rules across consumer data sources and regions.
• Design and maintain global classification systems for audience segments, behaviours, need‑states and lifecycle stages to ensure consistency, privacy compliance and aggregation readiness.
• Operate data quality monitoring, including automated scoring, anomaly detection, consent validation, identity resolution checks and threshold alerts.
• Lead remediation workflows covering escalation, root cause analysis, corrective actions and preventive controls across research, media and activation data.
• Bridge consumer‑facing and technology teams by translating business outcomes into structured requirements and keeping delivery aligned to commercial impact.
• Drive AI content engineering through metadata standards, semantic tagging, audience ontologies, business glossaries and schemas that enable GenAI and ML interpretation.
• Translate business needs into AI product requirements, including prompt logic, consumer context layers, identity frameworks and output validation standards.
• Oversee consumer data ingestion from external partners, ensuring completeness, timeliness, consent compliance and format standards.
• Establish media data QA, transformation and taxonomy alignment processes for MMM and marketing performance reporting.
• Monitor data feeds and platform integrations to identify delivery issues, methodology changes, consent drift and quality erosion before downstream impact.
• Coordinate local and regional Consumer Data Stewards and Marketing Data Leads through guidance, tooling, training and governance cadence.
• Design AI‑augmented data processes that automate manual workflows such as audience validation, consent monitoring, identity resolution, self‑healing pipelines and research coding.
• Advance “Data as a Product” by defining SLAs, data contracts, consumption interfaces and feedback loops for media, brand, insights and commercial analytics teams.

Qualifications

• Master’s in Marketing, Business Analytics, Data Science or Information Management, or bachelor’s with equivalent experience.
• 7+ years in consumer data management, marketing data strategy or data governance, ideally in FMCG, Consumer Health, Pharma or Retail/eCommerce.
• 3+ years hands‑on experience with consumer data ecosystems across research, media, activation, CDP, audience platforms, identity resolution or retail media.
• Proven ability to bridge technical and business teams, translating complexity into value‑focused outcomes.
• Expertise in consumer data taxonomies, audience ontologies, segment definitions, metadata standards and semantic data models.
• Strong knowledge of media measurement, marketing science, MMM, attribution, data quality frameworks and privacy/consent governance.
• Understanding of AI/GenAI and how data structure, identity, consent signals and semantic enrichment enable personalisation, propensity modelling and automated marketing.
• Experience with content engineering, prompt logic or information architecture for machine interpretation of consumer data.
• Track record scaling data processes across complex, multi‑platform, multi‑vendor environments.
• Familiarity with enterprise data, MarTech and media ecosystems, including CDP, CRM, clean rooms, Snowflake, Databricks, Azure, walled gardens, programmatic and retail media.
• Excellent stakeholder management and fluency translating between marketing/business and technical/data engineering language.
• Strategic, forward‑thinking and comfortable influencing across a global matrixed organisation without direct authority.
• Growth mindset, actively embedding AI‑readiness into consumer data operations.
• Fluent English required; additional languages a plus.

Location and Work Arrangement

This position may be allocated across multiple countries (Poland, Czechia or Hungary) and elements of the recruitment process may vary to ensure compliance with local employment laws.

EEO Statement and Benefits

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 and 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.