Associate Director - BIM

 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