Lead Data Science & AI

Key Responsibilities:

• Define and execute enterprise-wide AI, Data Science, and Generative AI strategies aligned with business objectives.
• Lead AI transformation programs spanning predictive analytics, NLP, Knowledge Graphs, Agentic AI, RAG, and intelligent automation.
• Build and scale AI Centers of Excellence, governance frameworks, MLOps practices, and AI operating models.
• Partner with executive leadership to identify, prioritize, and deliver high-value AI use cases.
• Oversee design and deployment of AI-powered products, platforms, and enterprise solutions across cloud environments.
• Lead cross-functional teams of Data Scientists, AI Engineers, Architects, Product Leaders, and Analytics professionals.
• Drive AI solution architecture, model lifecycle management, and enterprise adoption strategies.
• Serve as a trusted advisor to clients and business leaders, translating complex technical concepts into executive-level recommendations.
• Support business development, solutioning, RFP responses, and AI strategy workshops.
• Establish best practices for Responsible AI, governance, security, compliance, and scalable AI delivery.

Required Qualifications:

• 15+ years of experience in Data Science, Analytics, AI, Data Engineering, or Digital Transformation.
• 8+ years of leadership experience managing large-scale AI and analytics organizations.
• Deep expertise in:
  • Machine Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • Knowledge Graphs
  • NLP and Semantic Search
  • Predictive Analytics
  • MLOps
  • Strong cloud experience across AWS, Azure, and/or GCP.
  • Proven experience leading enterprise AI transformation initiatives from strategy through implementation.
  • Strong executive communication and stakeholder management skills.
  • Experience leading global teams and managing multimillion-dollar programs.
  • Experience in Healthcare, Life Sciences, Pharma, Banking, Financial Services. 

Preferred Qualifications:

• Experience building AI practices, innovation labs, or enterprise Data Science organizations.
• Familiarity with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, Snowflake, MLflow, LangChain, vector databases, and modern AI ecosystems.
• Track record of driving revenue growth, client acquisition, and AI-related business development initiatives.

Success in This Role:

Establishes AI as a strategic business capability across the enterprise.
Delivers measurable business value through AI, automation, and advanced analytics.
Builds scalable AI platforms and governance frameworks that accelerate adoption.
Develops high-performing AI organizations and future technology leaders.
Serves as an executive-level thought leader on AI strategy, innovation, and transformation.