Associate Director - BIM

3 - 7 years

9 - 13 Lacs

Posted:2 days ago| Platform: Naukri logo

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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 ImpactSnowflakePower BIData GovernanceAWS Data Pipeline Skills 

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