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Skills Required

bim data engineering manufacturing strategy development gcc drive governance analytics leadership cataloging etl orchestration databricks reconciliation sdtm ehr support qc pharmacovigilance management model certification azure aws airflow teamwork pipeline

Work Mode

On-site

Job Type

Full Time

Job Description

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 Application

Work 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 Management

Technical Competencies

Problem SolvingLifescience KnowledgeCommunicationProject ManagementAttention to P&L ImpactPower BIData GovernanceDatabricksSnowflakeAWS Data Pipeline

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