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Senior Director

Axtria · Gurgaon, India

About this role

Axtria is seeking a Senior Director to lead its Data Science practice for pharma commercial analytics. This role involves driving delivery excellence, client partnership, and hands-on solutioning across predictive modelling, Machine Learning, Deep Learning, Generative AI, and Agentic AI. The incumbent will act as the senior-most Subject Matter Expert (SME), setting technical direction, building reusable IP, and mentoring a large team of data scientists while owning delivery accountability for pharma clients.

Responsibilities

  • Own end-to-end delivery of data science engagements, ensuring quality, timelines, and business impact.
  • Manage senior client stakeholders (D/ED/VP/CxO level) to build trusted advisory relationships.
  • Lead, mentor, and scale a large team of 30+ data scientists.
  • Partner with sales teams on pre-sales, solutioning, and proposal development.
  • Architect and review solution designs for complex analytics problems including patient journey analytics, forecasting, and recommendation engines.
  • Drive adoption of Generative AI and Agentic AI frameworks (e.g., LLM-based copilots, RAG pipelines, multi-agent orchestration).
  • Guide teams on MLOps/LLMOps practices.

Requirements

  • 15+ years of overall experience in Data Science/Advanced Analytics, with at least 5+ years in Pharma commercial analytics.
  • Demonstrated hands-on capability in predictive modelling, Machine Learning, Deep Learning, Generative AI, and Agentic AI.
  • Proven experience managing large data science teams (30+ associates).
  • Strong track record of client relationship management with top pharmaceutical/life sciences companies.
  • Master's or Ph.D. in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research, Engineering, or a related quantitative discipline.

Benefits

  • Health insurance, retirement, paid time off, flexible benefits, and hybrid working arrangements.

Skills for this role

Pharma commercial analyticsPredictive modellingMachine LearningDeep LearningGenerative AIAgentic AIPythonPySparkSQLDatabricksAWSAzureGCPXGBoostAdaBoostRandom ForestK-meansClusteringSegmentationTensorFlowPyTorchKerasLLMsPrompt engineeringRAGLangChainLangGraphMLOpsLLMOps

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