Data & AI Governance Lead
hace 4 horas
Madrid
Data & AI Governance Lead Lead Data & AI Governance across Bayer Consumer Health, defining strategy, data quality frameworks, and responsible AI controls across global commercial environments. Translate regulatory, privacy, compliance, and technical requirements into practical governance capabilities that improve data trust, audit readiness, AI readiness, and business adoption. Play a dual role of strategic leadership and hands‑on delivery: establish decision rights, stewardship and custodian models, policies, standards, data quality processes, master data management practices, and governance workflows that enable compliant, confident, and scalable data use across business, analytics, product, and IT teams. Core Experience & Impact Support and deliver the data and AI governance strategy and multi‑year roadmap, aligned with Consumer Health priorities and Data & AI ambitions, to yield measurable outcomes such as improved data quality, audit readiness, and trusted, compliant data use. Embed AI compliance and risk controls into third‑party agreements, vendor contracts, and internal engagements—defining AI and acceptable‑use clauses, data‑lineage and provenance requirements, IP and usage rights, bias and transparency expectations, and assurance/acceptance criteria. Partner with domain leads to establish scalable governance frameworks and maintain global data‑readiness assessments across critical business domains. Establish governance expectations for external data collaborations and vendor data, including standards, transfer criteria, quality acceptance, usage rights, and AI‑related controls. Contribute to master data management initiatives for Consumer Health, strengthening consistency, quality, ownership, and reuse of key commercial data assets. Co‑develop AI bias and fairness frameworks and clear launch‑readiness criteria that define when a GenAI or Agentic use case is good enough to go live—setting thresholds, evaluation and benchmarking approaches, human‑oversight requirements, and go/no‑go gates, with continuous monitoring after launch. Define fit‑for‑purpose governance policies and processes that ensure data is generated with quality and consumed compliantly across the business. Establish data lifecycle governance controls covering creation, approval, change management, versioning, lineage, retention, archiving, and retirement to keep data traceable, audit‑safe, and compliant. Collaborate with adjacent data disciplines (metadata, reference data, data modeling, cataloging, lineage) to support fitness‑for‑use, AI readiness, and auditability. Translate governance frameworks into practical system and workflow requirements in partnership with Data & AI product teams and IT. Build strong partnerships with enterprise and local stewards to capture domain insight, resolve adoption barriers, and continuously improve governance implementation. Serve as the interface to Legal, Privacy, Compliance, Regulatory, and Ethics teams to interpret requirements and design pragmatic, fit‑for‑purpose governance frameworks. Partner with existing data use and global compliance councils to operationalize Responsible AI standards across the lifecycle. Combine strategic leadership with hands‑on contribution when needed—acting as data steward, process owner, or project manager for governance initiatives. Drive adoption through change management, communications, and education, making governance practical for business, marketing, sales, and analytics teams while building accountability, data literacy, and risk‑aware innovation. Qualifications & Competencies Master’s degree in business, economics, data science, information management, computer science, or a related field; advanced degree or relevant certifications in data governance, privacy, risk, compliance, or AI governance are an advantage. Minimum 10 years of solid professional experience in master data management, data governance, or data‑driven transformation programs, ideally within global, matrixed, or regulated business environments. Senior experience in Consumer Health, pharma, FMCG, or other regulated commercial environments, with strong understanding of commercial, market, customer, product, and external data domains. Demonstrated leadership capability in cross‑functional projects, establishing and embedding MDM governance structures across data, business, and technology teams. Strong knowledge of SAP S/4HANA in a master data context and familiarity with ERP, PIM, CRM, and related commercial data ecosystems. Practical know‑how in data models, system integrations, and Golden Record logic, translating business requirements into robust master data structures and integration principles. Proven ability to design, operationalize, and scale enterprise data governance frameworks, including data ownership, stewardship, data quality, metadata, lineage, master/reference data, cataloging, controls, and KPI‑based governance performance management. Strong AI, GenAI, Agentic AI, and analytics fluency, understanding data readiness, model lifecycle governance, human oversight, transparency, explainability, monitoring, change control, and risk mitigation. Deep knowledge of data privacy, regulatory, compliance, security, and third‑party data usage requirements, translating legal and risk requirements into practical business and technology controls. Strong stakeholder leadership and influencing skills, bridging business, commercial, product, data, technology, legal, privacy, compliance, and ethics communities without formal authority. Strategic and conceptual thinker, simplifying complexity, prioritizing value, and balancing business opportunity with regulatory, ethical, operational, and technology risks. Excellent executive communication, facilitation, and change management capabilities, driving adoption, building data literacy, and making governance practical for both business and technical audiences. Fluent in English; other languages are beneficial. Location Spain: Catalonia: Barcelona | Portugal: Estremadura: Carnaxide Division Consumer Health Reference Code 876498 Bayer welcomes applications from all individuals Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. #J-18808-Ljbffr