Director - BIM
Axtria · Noida · onsite · Posted 60d ago
Undisclosed15–20 yrsfulltimeSourced from
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About this role
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
Sourced from naukri
Skills
AimlBimVectorSQL AzureTalent managementDatabricksPysparkData EngineeringPythonSQLProject ManagementRisk ManagementAzure Data FactoryAzure Data LakeStakeholder ManagementProduct ManagementArtificial IntelligenceMachine LearningEstimation
About Axtria
Axtria
Software Product
2.8k+
employees
2010
16 years old
Gurgaon/Gurugram, Haryana
India
About
Axtria provides cloud software and data analytics solutions to the life sciences sector, enhancing product commercialization and improving healthcare outcomes.
Industries
Software ProductInternetIT Services & Consulting
Employee ratings
783 reviews
2.8/ 5
Culture
2.6
Career growth
2.7
Work-life
2.6
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