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Director - BIM

Director - BIM

Axtria

15 - 20 years

30 - 35 Lacs

noida

Posted:1 day ago| Platform:

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Skills Required

azure data factory risk management project management python azure data lake bim pyspark aiml data engineering artificial intelligence sql data bricks talent management estimation sql azure product management stakeholder management vector ml

Work Mode

Work from Office

Job Type

Full Time

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

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Director - BIM