PDM Business Domain Product Manager – End to End Supply Chain

Purpose and Scope: Own the design of end-to-end Supply Chain data models, ensuring alignment from data ingestion through to business consumption. Translate business requirements into standardized, scalable, and governed data structures that enable consistent decision-making across planning, manufacturing, and logistics. Bridge integration and data product layers by defining canonical models, semantics, and reusable data assets. Ensure data is high-quality, compliant, and ready for self-service analytics, advanced planning, and digital supply chain use cases Responsibilities and Accountabilities: Define and own end-to-end Supply Chain data models, ensuring consistency from source systems through to business consumption. Translate business requirements into standardized, scalable data structures, aligning ingestion, transformation, and semantic layers. Establish and govern canonical data definitions, business entities, and metrics across planning, manufacturing, logistics, and inventory domains. Collaborate with data engineering teams to ensure integration patterns and pipelines align with model design and domain standards. Design and maintain business-ready semantic layers, enabling trusted self-service analytics and advanced planning use cases. Ensure data models are high-quality, compliant (GxP where applicable), and production-ready, with embedded governance and lifecycle management. Drive reuse and standardisation of data assets (models, datasets, APIs), reducing duplication and improving scalability across the domain. Partner with business and digital teams to enable adoption of data products, analytics, and digital supply chain capabilities, including digital twins and AI-driven solutions. Required Qualifications: Education Bachelor’s or higher degree in Computer Science, Information Systems, or a related field. Relevant industry certifications (e.g., Databricks, AWS, Agile) are strongly preferred. Experience 8+ years of experience in data engineering, data architecture, and data platform delivery. Proven track record in designing and implementing data platforms, ETL frameworks, and data integration solutions. Experience working across multiple industries or complex domains, with strong adaptability to new environments. Demonstrated leadership in end-to-end project delivery, including architecture, development, deployment, and production support. Experience with data governance and regulatory compliance frameworks. Extensive experience with Agile delivery, DevOps practices, and automation of data platform deployments. Preferably 5+ years of experience within the pharma/biotech domain or other highly regulated environments. Technical Skills Cloud Platforms: Azure and AWS. Data Platforms & ETL Tools: Databricks, IBM DataStage, Synapse, Talend, Infosphere. Programming & Processing: Python, PySpark, SQL, PL/SQL, T-SQL. Data Architecture & Modelling: Relational, Dimensional, Data Vault. Integration Technologies: CDC (e.g., Fivetran SAAS, HVR), REST API’s, MQTT, AMQP (e.g., RabbitMQ), real-time data streaming platform (e.g. Kinesis, Kafka), IoT platform (e.g., AVEVA Connect). Databases: MS SQL Server, Oracle, MySQL, cloud-based relational database services, cloud-based NoSQL database services. Automation, DevOps & CI/CD: Azure DevOps (pipelines, repos), automated deployment, reusable data ingestion patterns, lifecycle management. Data Governance: Data quality frameworks (e.g., Spark DQX), governance tools (e.g., Databricks Unity Catalog), data contracts, metadata management, and regulatory (e.g., GxP) compliance. Soft Skills Strong ability to operate in complex business environments and translate requirements into data solutions/designs/architectures. Excellent communication and stakeholder management abilities. Ability to work independently and collaboratively across regions and time zones. Working Environment Choose one of the first two statements below to describe onsite work expectations for the role. Additional points may include travel requirements, office or laboratory working environment, highly collaborative environment, description of equipment used, etc. At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.