PDM Business Domain Product Manager – End to End Supply Chain
Astellas Pharma·Bengaluru·Onsite
8+ years
Full Time
Onsite
Lead Product Manager
Bengaluru
4 days ago
About the role
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
What you'll do
- 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
What you'll bring
- 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
Skills & keywords
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