Position Summary

Lead a 20–40 member data engineering team supporting global pharma R&D, Commercial, and Manufacturing use-cases. Own data strategy execution, modernize data platform development, and delivery excellence for a Global Capability Center (GCC). Drive scalable data products, governance, and analytics solutions.

Job Responsibilities

Leadership & Strategy

Own Data Engineering roadmap for enterprise data transformation; align with global data & digital strategy. Lead multi-squad engineering teams (Data Engineering, MLOps, Reporting). Establish standards for ingestion, transformation, quality, cataloging and lineage. Partner with global product owners, business stakeholders, and platform leads across R&D, HEOR, Commercial, Supply Chain.

Technical Delivery

Architect and scale cloud-native data platforms Oversee ingestion pipelines across structured (clinical, commercial, manufacturing) and unstructured data (medical notes, literature, NLP outputs). Ensure high-performance ELT/ETL, orchestration, CI/CD, and MLOps practices. Manage Lakehouse / Warehouses (Databricks, Snowflake, Dataiku). Implement robust data quality KPIs, reconciliation frameworks

Domain Expectations

Deep understanding of pharma data: Commercial data (IMS/IQVIA, specialty pharmacy feeds) Clinical trial data (CDISC, SDTM, ADaM) RWE/claims/EHR, patient support program data Manufacturing & QC datasets Experience delivering data foundations for regulatory submissions, pharmacovigilance, digital biomarkers, omnichannel analytics.

GCC Focus

Run onsite–offshore governance, delivery dashboards, and stakeholder reporting. Drive talent development, vendor management, and operating-model improvements. Set up reusable accelerators, playbooks, and delivery frameworks tailored for GCC scale. Engage with GCC stakeholders as well as global stakeholders delivering customer delight Education BE/B.TechMaster of Computer ApplicationWork Experience 12–15 years in Data Engineering, with 5+ years in pharma/biotech. 3–5 years in a leadership role managing 20–40 engineers. Proven track record delivering multi-million-dollar programs in global matrixed environments or GCCs. Certification or hands-on experience in Snowflake, Azure/AWS, and modern orchestration (Airflow, ADF). Behavioural Competencies Teamwork & LeadershipMotivation to Learn and GrowOwnershipCultural FitTalent ManagementTechnical Competencies Problem SolvingLifescience KnowledgeCommunicationProject ManagementAttention to P&L ImpactSnowflakePower BIData GovernanceAWS Data PipelineSkills