Global Data Science Lead

The Global Analytics Business Consulting Team applies data science and AI to help customers turn commercial, medical, and regulatory data into action. We are seeking a Global Data Science Lead that will support execution of the Data Science AI strategy within this team. This role will lead a group of data scientists, AI/ML engineers, and analysts, and partners with Global Analytics leadership to turn strategy into delivery — applying advanced analytics, machine learning, and generative AI/LLM techniques to life sciences data.

• Lead the Data Science function within the Global Analytics Team, in line with Veeva's Analytics Business Consulting goals
• Lead, mentor, and inspire a team of data scientists, AI/ML engineers, and analysts within the Global Analytics Team
• Partner with Global Analytics leadership to translate the broader Data Science AI strategy into team priorities and delivery plans
• Own global methodology – model management, observability, testing, and deployment
• Foster collaboration between consulting, data science, and engineering teams to ensure seamless integration of AI-driven data solutions
• Oversee the design and implementation of advanced analytics, machine learning, and generative AI/LLM models within the Global Analytics Team's scope of work
• Ensure the development and maintenance of robust, scalable, and efficient data and AI infrastructure supporting Global Analytics Team deliverables
• Collaborate with cross-functional consulting teams to understand customer business requirements and translate them into AI-native, data-driven solutions
• Work with product and business stakeholders to surface opportunities for applying AI within Global Analytics Team engagements
• Enforce best practices for data quality, security, governance, and responsible AI use within the team
• Implement and maintain rigorous testing procedures to validate the accuracy and reliability of data, ML, and AI models

• Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative discipline with 5+ years of relevant industry experience, or equivalent M.S. with 8+ years of relevant demonstrable research experience
• Experience with the Life Sciences industry and applying analytics and AI/ML to related data sets
• Hands-on experience building or deploying LLM-based systems (prompt engineering, RAG, agentic workflows, or fine-tuning). Advanced, in-depth specialization in data science and AI techniques including classification, pattern recognition, clustering, feature analysis, NLP, fuzzy matching, sentiment analysis, A/B testing, active/adaptive learning
• Proven leadership of teams of 10+ people
• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions, even in situations with non-standard problems
• Excellent oral and written communication skills with the ability to effectively explain complex technical and AI-driven solutions to other team members and clients
• Must be comfortable with changing requirements and priorities
• Must be results-oriented and able to move forward without complete information and with minimal supervision

• Advanced experience with AWS, Snowflake, or Databricks
• Data pipeline building skills
• Product development experience
• Experience with LLM orchestration frameworks (e.g., Lang Chain, Llama Index) or vector databases
• Experience designing AI-native products or workflows, not just adding AI to existing systems

We value your time and believe in a transparent hiring process. Here is the process you can expect.

• Follow the application process and submit your resume.
• If…