Senior Manager, Data Architecture

About the role

Stryker is hiring a Senior Manager, Data Architecture in Gurugram on a hybrid basis. You will define and evolve the enterprise Data & Analytics architecture vision, standards and multi-year roadmap using Azure, Databricks and Lakehouse principles, and act as the highest-level technical authority for complex architectural decisions.

Key responsibilities

• Lead architecture for complex, business-critical initiatives, integrating SAP and non-SAP data across the enterprise.
• Modernize enterprise data solutions that reflect complex operational processes and support current and historical data needs.
• Migrate commercial, manufacturing and compensation reporting platforms to governed, Azure-native architectures and oversee legacy platform decommissioning.
• Establish and govern architecture standards covering data lineage, classification, security, access controls, integration frameworks and data governance.
• Ensure solutions meet regulatory, compliance and security requirements such as SOX, GxP, SDLC, validation and change management.
• Partner with senior Engineering, Product and Business leaders on technology strategy and emerging technologies.
• Advance AI readiness through governed data consumption, semantic models, retrieval-augmented solutions and responsible use of generative and agentic AI.
• Represent Data & Analytics in architecture forums and mentor Principal Architects and senior engineers.

Required profile

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field; advanced degree.
• 14+ years of experience in Enterprise Data Architecture, Solution Architecture or Data Engineering, with a track record of enterprise-scale technology strategies and multi-year roadmaps.
• Minimum 3 years of people management experience.
• Proven executive leadership, stakeholder influence and mentoring of senior architects and engineers.

Required skills

• Deep expertise in Azure, Databricks, Lakehouse architectures and modern cloud data platforms.
• Strong experience integrating SAP and enterprise ERP platforms across commercial, supply chain, manufacturing and finance domains.
• Advanced knowledge of data modeling, analytics, BI, data warehousing, semantic models and enterprise reporting.
• Understanding of AI and generative AI technologies such as RAG, vector search and enterprise knowledge retrieval.
• Certifications such as TOGAF, Azure Solutions/Data Architect, Databricks or Microsoft Fabric are highly preferred.