Hyd AD

2 days ago

Hyderābād, Sindh, Pakistan Axtria Full time

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 Snowflake Power BI Data Governance AWS Data Pipeline Skills