Manager | Transformation Excellence | Bengaluru | Technology Strategy & Transformation
Deloitte (company site, opens in a new tab)5–10 yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Assess existing data ecosystems and define target-state architecture and transformation roadmaps for Life Sciences organizations.
- Design and implement governed, scalable data lake/lakehouse platforms, covering ingestion, storage, processing, integration and business consumption.
- Establish data governance, security and regulatory-compliance practices; enable analytics, reporting and AI/ML use cases across business functions.
Minimum Requirements
- Work Experience Required: 5+ years in data architecture or data engineering; the JD also states 5–10 years of relevant experience.
- Strong Data Lake architecture and implementation experience, with data modeling, ETL/ELT pipelines and big data processing expertise.
- Strong Life Sciences, Pharma or Biotech domain experience; understanding of GxP and regulatory data compliance requirements.
- Hands-on experience with cloud data platforms, including AWS S3 or Azure Data Lake. Locations listed: Mumbai, Hyderabad or Bengaluru.
Ideal Candidate Profile
- Has delivered data architecture or engineering work in Life Sciences and can connect platform design to R&D, Clinical, Regulatory or Commercial data needs.
- Can work across the architecture lifecycle—from landscape assessment and technology evaluation to implementation, modernization, governance and cost/performance optimization.
- Has experience enabling enterprise analytics through governed data products, integration patterns and compliant data access; Databricks, Snowflake, Azure Data Factory, lakehouse, AI/ML exposure or cloud certifications are preferred.