Manager I, Data Engineering, Advanced Capabilities COE
Bristol Myers Squibb (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 14–24 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and operationalization of scalable, reliable, and governed data pipelines integrating multiple data sources to support analytics, forecasting, AI/GenAI, and digital product capabilities.
- Collaborate with GBO stakeholders, BI&T, and DS&A CoE teams to ensure data structure, quality, accessibility, and fitness for analytical and decision-support needs.
- Help define and sustain data engineering standards, governance, and operational models for Hyderabad-based team deliverables.
Minimum Requirements
- Bachelor's degree required; Master's in Data Engineering, Computer Science, Information Systems, or related technical discipline preferred.
- Minimum 3 years of experience in data engineering, analytics engineering, BI/data platforms, or related technology roles.
- Demonstrated skills in enterprise data integration, pipeline development, and building scalable analytical data solutions with strong data quality and governance understanding.
- Familiarity with cloud data platforms, ETL/ELT patterns, data lake/warehouse concepts, and experience working with SAP, SAP BI, Hyperion or similar enterprise analytics environments.
Ideal Candidate Profile
- Experienced in cross-functional collaboration with business, analytics, and technology teams for data-driven solutions in complex enterprise environments.
- Skilled in translating business and analytical requirements into scalable, governed data pipelines and data engineering architecture supporting advanced analytics and AI use cases.
- Knowledgeable in data governance practices, metadata management, and operational sustainment of data engineering capabilities in a global or large-scale data environment.