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 contemporary 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

📌 Associate Director (Secunderabad)
🏢 Axtria
📍 Secunderabad