Senior Director

Job Summary

Responsible for leading Axtria's Data Science practice for pharma commercial analytics, driving delivery excellence, client partnership, and hands-on solutioning across predictive modelling, Machine Learning, Deep Learning, Generative AI and Agentic AI. Acts as the senior-most Subject Matter Expert (SME) for Data Science solutions, setting technical direction, building reusable IP, and mentoring a large team of data scientists while owning delivery accountability for pharma clients.

Key Responsibilities – Delivery Leadership

Own end-to-end delivery of data science engagements for pharma commercial clients, ensuring quality, timelines, and business impact.Manage senior client/onshore stakeholders (D/ED/VP/CxO level) to build trusted advisory relationships and drive account growth.Lead, mentor, and scale a large team of data scientists, managers, and leads; define team structure, career paths, and capability-building plans.Drive program governance – resource planning, risk management, quality assurance, and adherence to delivery SLAs/KPIs across multiple engagements.Partner with sales and account teams on pre-sales – solutioning, RFP/RFI responses, proposal development, effort estimation, and pricing.Identify opportunities for account mining, cross-sell/up-sell of analytics and AI/Gen AI offerings within existing pharma accounts.Collaborate with technology, platform, and consulting teams to align data science delivery with Axtria's broader product and consulting roadmap.Institutionalize best practices, delivery frameworks, and reusable accelerators to improve speed-to-value across engagements.

Key Responsibilities – Subject Matter Expertise (SME)

Serve as the hands-on SME for predictive modelling, statistical modelling, Machine Learning, Deep Learning, Generative AI, and Agentic AI solutions.Architect and review solution design for complex analytics problems across patient journey analytics, HCP/payer/patient analytics, forecasting, and market mix modelling, recommendation engines.Provide technical oversight on model design, validation, performance benchmarking, and responsible/explainable AI practices.Drive adoption of Generative AI and Agentic AI frameworks (e.g., LLM-based copilots, RAG pipelines, multi-agent orchestration) for pharma commercial use cases.Guide teams on MLOps/LLMOps practices – model deployment, monitoring, retraining, and governance at scale.Represent Axtria as a thought leader – author points of view (POVs), white papers, and present at internal/external forums and industry conferences.Evaluate emerging tools, platforms, and techniques in AI/ML/Gen AI and assess their applicability to pharma commercial analytics.Champion innovation – sponsor hackathons, incubate new solution frameworks, and contribute to Axtria's data science IP and accelerators.

Requirements

15+ years of overall experience in Data Science / Advanced Analytics, including at least 5+ years of Pharma commercial analytics experience.Demonstrated hands-on capability (not only oversight) in predictive modelling, Machine Learning, Deep Learning, Generative AI, and Agentic AI solutions.Proven experience managing large data science teams (30+ associates) across multiple concurrent client engagements.Strong track record of client relationship management with top pharmaceutical/life sciences companies.Experience contributing to pre-sales, proposal development, and account growth in a consulting/analytics services environment.Excellent executive communication, storytelling, and stakeholder management skills.Strong business acumen with the ability to translate analytics into commercial impact and ROI.

Qualifications

Master's or Ph.D. in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research, Engineering, or a related quantitative discipline.

Must-Have Skills

Deep expertise in pharma commercial analytics – HCP, patient, and payer analytics; and pharma real-world data (APLD, EMR, prescription, claims, specialty pharmacy).Hands-on expertise in statistical modelling and AI/ML tools – Python, PySpark, SQL, Databricks, and cloud platforms (AWS/Azure/GCP).Strong command of ML algorithms – XGBoost, AdaBoost, Random Forest, K-means, clustering, segmentation, and lookalike modelling.Hands-on experience with Deep Learning frameworks – TensorFlow, PyTorch, Keras.Hands-on experience with Generative AI – LLMs (e.g., GPT, Claude, Llama), prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning.Working knowledge of Agentic AI frameworks – LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.Experience with MLOps/LLMOps practices – CI/CD for ML, model monitoring, and governance.Proven people leadership – managing, mentoring, and growing large, multi-level data science teams.

Nice-to-Have Skills

Prior P&L or account ownership within a consulting/analytics services organization.Publications, patents, or conference presentations in AI/ML/Gen AI.Experience building or scaling a Center of Excellence (CoE) for Data Science/AI within an organization.Relevant certifications in cloud, AI/ML, or Generative AI platforms.

What Axtria Provides

Inclusive environment encouraging diverse perspectives.Opportunities to shape and lead a transforming Data Science practice with global impact.Technical challenges at the intersection of pharma commercial strategy and cutting-edge AI/Gen AI.Self-development opportunities (Axtria Institute, certifications, knowledge sharing).Sponsored Tech Talks & Hackathons.Relocation opportunities across offices.Benefits: Health insurance, retirement, paid time off, flexible benefits, hybrid working.

Culture

Equal opportunity employer valuing diversity and inclusiveness.14 years of growth and recognition as a Great Place to Work.