Lead Data Architect Master Data Asset @ Bayer

Qualifications & Competencies (education, skills, experience): Master degree in computer science, big data, engineering, data management or a comparable subject 5-8+ years working experience in the field of master data management for data analytics, experience in the area of big data and data science as a data- & solution architect and with experience in CPG/FMCG industry is a plus, but not a must 3-5+ years of proven experience with MDM tools (e.g. Reltio Cloud MDM, Syndigo Enterprise Data Suite) Proven experience in data quality management and related tooling including business rule management systems Solid understanding of data modeling, ETL processing and modern Lakehouse concepts (Medallion architecture, Spark, Databricks, Azure Data Stack) Knowledge of CI/CD processes and tools (GitHub VCS and GitHub Actions) Profound data content knowledge across multiple business functions (Marketing, Sales, R&D, Product Supply, Finance) Experience in Agile methodologies (Scrum, Kanban) Strong problem solving and analytical skills, excellent interpersonal and communication skills, active listening, consulting, challenging, presentation skills Fluent in English, both written & spoken, intercultural awareness and willingness to travel For Digital Hub Warsaw, we are looking for: Lead Data Architect – Master Data Asset The Data Assets, Analytics and AI team at Bayer Consumer Health focuses on bringing digital transformation and innovation by creating best in class analytical solutions enabling data-driven decision making and performance optimization for Bayer Consumer Health organization. In this role, you will be part of the Data, Analytics and AI organization with responsibility for master data assets. You will collaborate with business stakeholders, data asset leads,governors, engineers, data scientists, analysts, and fellow architects to implement master data management processes into technical solutions across the system landscape. Your focus will include designing MDM processes that map different technical entities across data domains, with strong emphasis on data quality to support analytics and AI projects with appropriate master data. You will ensure proper data management, ingestion, and pipeline orchestration in a scalable and high-performing manner.If you are interested in joining a young and dynamic team driving the digital transformation of Bayer Consumer Health, we would like to hear from you. ,[Technically own a central master data asset and be responsible for its solution architecture, data model, lifecycle, access management, stable operations and infrastructure costs, Co-Create & implement master data management strategy for Consumer Health IT based on the business requirements from our Consumer Health Division, which allows IT teams, business stakeholders and autonomous AI systems to easily consume master & reference data and decrease time-to-market for new data analytics and AI solutions, Manage and integrate master data from multiple sources, including MDM and transactional systems. Collaborate with architects and product owners across various functions to design data flows and business logic throughout the master data process landscape. Partner with data analysts to ensure proper semantic descriptions, creating easily consumable data assets that enable users to effectively join data from different business domains, As an individual contributor you are the technical lead of a squad team. You will work closely the lead Data Analyst on timeline of the roadmap and guide data engineers and dev/ops engineers to ensure continuous delivery of the roadmap and priorities and contribute to manage demands addressed by IT and business stakeholders, Contribute to the enrichment of our global data and analytics technology stack and its capabilities according to the needs of your core data asset, especially in the area of data quality management and data catalogues, You are responsible to technically enable data governance processes to ensure that data governors and data stewards can effectively enrich and correct data sets and provide necessary mapping which is required to integrate data sets from various sources, Be responsible to ensure compliance, setup respective processes for data access, manage legal & license data requirements as well as security (e.g. row level security) or data privacy related topics in order to deliver fit-for purpose and scalable analytics pr] Requirements: MDM Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Lunch card, International projects.