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.Tech
Master 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 & Leadership
Motivation to Learn and Grow
Ownership
Cultural Fit
Talent Management
Technical Competencies
Problem Solving
Lifescience Knowledge
Communication
Project Management
Attention to P&L Impact
Power BI
Data Governance
Databricks
Snowflake
AWS Data Pipeline
