Manager I Data Engineering Advanced Capabilities COE

Bristol Myers Squibb; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Bristol Myers Squibb in Hyderabad is seeking a GBO Advanced Capabilities COE Manager – Data Engineering to design, build, and govern data pipelines for analytics and AI use cases. You will partner with DS&A CoE, BI&T, and stakeholders to ensure data is reliable, accessible, and fit-for-purpose across GBO.

This role focuses on data engineering strategy, scalable pipelines, governance, and operating models to enable advanced analytics and future digital products.

Qualifications

• Bachelor’s degree required; Master’s degree in Data Engineering, Computer Science, Information Systems, Engineering, or a related technical discipline preferred.
• 3+ years in data engineering, analytics engineering, BI/data platforms, or technology roles.
• Experience on enterprise data integration, pipeline development, or scalable analytical data solutions.
• Experience partnering with business, analytics, and technology teams in cross-functional environments.
• Strong data quality, metadata, lineage, and governance understanding.
• Familiarity with cloud data platforms, data lake / warehouse concepts, ETL / ELT patterns.
• Ability to translate business and analytical needs into scalable data solutions.
• Strong stakeholder management, communication, and problem-solving capabilities; familiarity with SAP, SAP BI, Hyperion.
• Exposure to cloud platforms, data engineering tools, and pipeline orchestration tools.

Responsibilities

• Data Engineering Strategy & Architecture: Design data engineering approaches, integration patterns, and scalable data foundations needed to enable analytics, decision support, and technology-led capabilities across GBO.
• Data Pipeline Build & Sustain: Lead the creation and maintenance of reliable, scalable data pipelines and workflows that connect internal and external data sources for reporting, modelling, scenario analysis, and emerging digital products.
• Data Integration & Single Source of Truth: Help establish integrated and governed data flows that improve consistency, reduce fragmentation, and strengthen the availability of trusted data for downstream use cases.
• Analytics & Product Enablement: Partner with DS CoE, GBO stakeholders, and BI&T to ensure analytical solutions and innovation use cases are supported by the right data architecture, engineering practices, and run support.
• Governance, Quality & Controls: Ensure strong data quality, lineage, access, and governance practices are embedded into solutions, with clear mechanisms for monitoring, issue resolution, and continuous improvement.
• Operating Model & Ways of Working: Support engagement models across GBO, BI&T, and external partners for discovery, build, deployment, and sustainment of data-enabled capabilities.

Skills

Data engineering

Data integration

Data pipelines

Analytics solutions

Stakeholder management

Semi-structured data

Data governance

Data quality

Metadata management

Data lake / warehouse

ETL/ELT

Business-analytics alignment

SAP

SAP BI

Hyperion

Pipeline orchestration

Education

Bachelor's degree

Master's degree (preferred)

Tools

Cloud data platforms

Job description

Job Description:

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

The GBO Advanced Capabilities COE Manager – Data Engineering will play a critical role in establishing the data engineering backbone required to enable advanced analytics, scenario-based decision support, and digital capabilities across GBO. This role will help design and operationalize robust, scalable, and governed data pipelines that bring together internal and external data sources to support business insight, forecasting, AI/GenAI use cases, and future digital products.

The role will work closely with GBO stakeholders, BI&T, and DS&A CoE team members to ensure data is structured, reliable, accessible, and fit-for-purpose for analytical and decision-support needs. The position will also help shape data engineering standards, integration patterns, and sustainment approaches for capabilities delivered through the Hyderabad-based team.

Key Responsibilities And Major Duties

• Data Engineering Strategy & Architecture: Support the design of data engineering approaches, integration patterns, and scalable data foundations needed to enable analytics, decision support, and technology-led capabilities across GBO.
• Data Pipeline Build & Sustain: Lead the creation and maintenance of reliable, scalable data pipelines and workflows that connect internal and external data sources for reporting, modelling, scenario analysis, and emerging digital products.
• Data Integration & Single Source of Truth: Help establish integrated and governed data flows that improve consistency, reduce fragmentation, and strengthen the availability of trusted data for downstream use cases.
• Analytics & Product Enablement: Partner with DS CoE, GBO stakeholders, and BI&T to ensure analytical solutions and innovation use cases are supported by the right data architecture, engineering practices, and run support.
• Governance, Quality & Controls: Ensure strong data quality, lineage, access, and governance practices are embedded into solutions, with clear mechanisms for monitoring, issue resolution, and continuous improvement.
• Operating Model & Ways of Working: Support engagement models across GBO, BI&T, and external partners for discovery, build, deployment, and sustainment of data-enabled capabilities.

Educational Qualifications

• Bachelor’s degree required; Master’s degree in Data Engineering, Computer Science, Information Systems, Engineering, or a related technical discipline preferred

Required Skill Set

• 3+ years in data engineering, analytics engineering, BI/data platforms, or technology roles
• Experience of working on enterprise data integration, pipeline development, or scalable analytical data solutions
• Experience partnering with business, analytics, and technology teams in cross-functional environments preferred
• Strong experience in data engineering, data integration, and building scalable pipelines across structured and semi-structured data sources
• Strong understanding of data quality, metadata, lineage, and governance principles
• Familiarity with cloud data platforms, data lake / warehouse concepts, ETL / ELT patterns, and analytics enablement
• Ability to translate business and analytical needs into scalable data solutions
• Strong stakeholder management, communication, and problem-solving capabilitiesFamiliarity with SAP, SAP BI, Hyperion related software applications, and enterprise data / analytics environments
• Exposure to cloud platforms, data engineering tools, and pipeline orchestration tools preferred

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People With Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

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Data Protection

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R1606029 : Manager I, Data Engineering, Advanced Capabilities COE

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