Associate Director

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

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