Director - BIM

Job description

Position Summary The Delivery Director for Data & AI will lead end-to-end delivery of large-scale Data, AI, and GenAI programs for global Pharma clients. This role requires strong expertise across the Azure data ecosystem, Databricks, SQL, and PySpark, along with a proven track record in managing complex data platforms, AI solution deployments, and cross-functional engineering teams. Job Responsibilities • Provide strategic delivery leadership for enterprise data platforms, AI/ML solutions, and GenAI implementations. • Manage multi-disciplinary teams across Data Engineering, MLOps, GenAI engineering, Cloud, and Product Management. • Own delivery governancescope, quality, timelines, financials, risks, and stakeholder communication. • Partner with Pharma business leaders, Product Owners, and IT architects to translate business needs into scalable technical solutions. • Drive architecture discussions across Azure Data Lake, Databricks, Delta Lake, Data Factory, Synapse, and related ecosystem components. • Ensure adherence to best practices in data modeling, data quality, data pipelines, ML lifecycle management, and GenAI prompt engineering. • Oversee delivery of machine learning models, LLM-based applications, NLP pipelines, and GenAI copilots or agents. • Implement delivery frameworks, reusable accelerators, and automation to improve efficiency and reliability. • Mentor and grow technical talent across data engineering, cloud, and AI functions. • Support pre-sales activities, RFP responses, solutioning, and estimation for new business opportunities. • Ensure compliance with pharma regulations, data privacy, GxP, and responsible AI standards. Education BE/B.Tech Master of Computer Application Work Experience • 15+ years of experience in Data Engineering, Cloud, AI/ML, and advanced analytics delivery roles. • Strong hands-on background (earlier career) in SQL, PySpark, Databricks, Azure Data Factory, ADLS, and related Azure services. • Deep understanding of GenAI technologiesLLMs, embeddings, RAG, vector databases, prompt engineering, and evaluation frameworks. • Experience delivering enterprise-scale data platforms and AI solutions for Pharma/Life Sciences customers (must-have). • Proven ability to manage large distributed teams and multi-million-dollar programs. • Strong stakeholder management and executive communication skills. • Demonstrated experience in planning, delivery governance, risk management, and end-to-end program ownership. • Bachelors or Masters degree in Engineering, Computer Science, Data Science, or related field. Behavioural Competencies Project Management Communication Attention to P&L Impact Teamwork & Leadership Motivation to Learn and Grow Lifescience Knowledge Ownership Cultural Fit Scale of resources managed Scale of revenues managed / delivered Problem solving Talent Management Capability Building / Thought Leadership Technical Competencies AIML Azure Data Factory Azure SQL Databricks Skills