GSC Intelligence Senior Data Architect

Solventum · IN, Bangalore Kar, India

IN, Bangalore Kar, IndiaSeniorPosted 25 Sept 2026Last checked 20 Oct 2026

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About the role

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ Job Description: 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role Solventum is building a connected, governed, and reusable data foundation for Global Supply Chain. The Global Supply Chain Data Architect will define and guide the architecture required to turn supply chain data into trusted, reusable data products that support planning, sourcing, manufacturing, logistics, quality, inventory, and end-to-end performance management. This role bridges business strategy and technical execution, establishing the standards, patterns, and roadmaps that enable teams to deliver consistent analytics and digital solutions at scale. Enterprise and GSC Data Architecture •  Define and maintain the target-state GSC data architecture, including domain boundaries, conceptual and logical models, integration patterns, data flows, and the transition roadmap from current to future state. •  Translate supply chain priorities and use cases into scalable architecture decisions across operational, analytical, and digital solution landscapes. •  Establish reference architectures and reusable patterns for ingestion, transformation, storage, semantic modeling, master and reference data, APIs, event-based integration, and analytics consumption. •  Ensure architecture decisions align with enterprise technology, security, privacy, records, and data governance standards while meeting GSC business needs. Data Product Strategy and Enablement •  Partner with GSC domain leaders and product teams to define data products with clear business purpose, ownership, consumers, source systems, service expectations, quality rules, and measurable outcomes. •  Design for reuse across Plan, Source, Make, Deliver, and cross-functional GSC capabilities, reducing duplicate pipelines, metrics, models, and reports.

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