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The software company powering the path to the world’s new medicines.
The Role
Leads Veeva’s Global Analytics data science function, managing data scientists, AI/ML engineers, and analysts. Translates AI strategy into delivery plans, oversees advanced analytics and generative AI solutions, establishes model management and testing methodologies, and ensures scalable data infrastructure, governance, security, and responsible AI practices. The role also partners with consulting, product, engineering, and business stakeholders to develop data-driven solutions for Life Sciences customers.
Summary Generated by Built In
Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website.
Consulting is changing, and we’re not like other firms. Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way.
We are growing aggressively as we look towards 2030. We are seeking great people to help shape the future of the industry with the world’s leading software, data, AI, and expertise at their back.
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.
What You'll Do
- 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
Requirements
- 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
Nice to Have
- Advanced experience with AWS, Snowflake, or Databricks
- Data pipeline building skills
- Product development experience
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) or vector databases
- Experience designing AI-native products or workflows, not just adding AI to existing systems
Interviewing with Veeva
- Follow the application process and submit your resume.
- If moving to the interview stage, our process is as follows:
- A conversation with the hiring manager
- A personality assessment
- A practical case exercise
- A final conversation with our group's Senior Leader
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
- Unrivaled career progression in a fast-growing, global team
- Veeva is a Work Anywhere company. You can work from home or the office on any given day
Compensation
- Base pay: $120,000 - $250,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
#LI-Remote#LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Skills Required
- Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or another quantitative discipline with 5+ years of relevant industry experience
- Equivalent master's degree with 8+ years of relevant demonstrable research experience
- Experience with the Life Sciences industry and applying analytics and AI/ML to related datasets
- Hands-on experience building or deploying LLM-based systems, including prompt engineering, RAG, agentic workflows, or fine-tuning
- Advanced specialization in data science and AI techniques, including classification, pattern recognition, clustering, feature analysis, NLP, fuzzy matching, sentiment analysis, A/B testing, and active or adaptive learning
- Proven leadership of teams of 10 or more people
- Strong problem-solving and quantitative skills, including root-cause analysis and solution development for non-standard problems
- Excellent oral and written communication skills, including the ability to explain complex technical and AI-driven solutions to team members and clients
- Comfort working with changing requirements and priorities
- Results-oriented, able to work with incomplete information and minimal supervision
- Advanced experience with AWS, Snowflake, or Databricks
- Data pipeline building skills
- Product development experience
- Experience with LLM orchestration frameworks such as LangChain or LlamaIndex, or vector databases
- Experience designing AI-native products or workflows
Veeva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.
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Healthcare Strength — Health, dental, vision, and mental health coverage are provided alongside HSA/FSA options, with some locations adding fitness reimbursements or gym support. These offerings contribute to a comprehensive core healthcare package.
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Equity Value & Accessibility — Broad-based equity, RSUs/options, and an employee stock purchase plan are part of total rewards, with widespread participation noted across the company. In several roles, equity is considered a meaningful component that lifts total compensation.
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Parental & Family Support — Support includes maternity and paternity leave, adoption assistance, fertility benefits, childcare benefits, and family medical leave. These programs signal a family-friendly approach to time off and caregiving needs.
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The Company
What We Do
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.
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