Associate Director - BIM

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.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