Job Details
Posted 6 July, 2026
Job Id: 627680
Senior Manager, AI and Data Science
Job Description
Senior Manager, AI & Data Science (Agentic AI)
Location: United States (Hybrid/Remote options available)
Level: Senior Manager
Overview
A leading, innovation-driven biopharmaceutical organization is expanding its AI and data science capabilities to accelerate insights, improve decision-making, and enable scalable innovation across the enterprise.
We are seeking a Senior Manager, AI & Data Science with strong technical depth and hands-on experience in agentic AI and modern machine learning frameworks. This individual will play a key role in designing and deploying advanced AI solutions, partnering cross-functionally, and expanding the organization’s use of next-generation AI technologies.
Key Responsibilities
AI & Data Science Development
- Lead end-to-end development of AI/ML solutions, from problem definition through deployment and continuous improvement
- Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful, production-ready solutions
- Identify and prioritize high-value AI use cases across Commercial, Medical, and enterprise functions
Agentic AI & Framework Integration
- Design and deploy AI agents and orchestration workflows using modern frameworks (e.g., LangGraph, LlamaIndex, CrewAI)
- Build modular, reusable components for reasoning, retrieval, tool integration, and workflow automation
- Develop end-to-end agentic systems, including agent connectors, orchestration layers, and integrated interfaces
- Partner with product and UI teams to ensure seamless delivery of agent-driven applications
Modeling & Applied Machine Learning
- Design and implement machine learning models, including recommendation systems, personalization, and decision-support tools
- Apply modern techniques such as embeddings, graph-based methods, and generative AI to real-world business problems
- Develop AI solutions tailored to healthcare and life sciences commercial use cases
Data Integration & MLOps
- Collaborate with data engineering teams to build scalable, ML-ready data pipelines
- Support model deployment, monitoring, and lifecycle management using modern platforms (e.g., Databricks, MLflow)
- Ensure production systems are reliable, scalable, and well-governed
Cross-Functional Engagement
- Translate complex AI concepts into clear, actionable insights for both technical and non-technical stakeholders
- Align AI initiatives with enterprise governance, privacy, and compliance requirements
- Work effectively across scientific, technical, and business teams to deliver measurable impact
Qualifications
Required
- Master’s or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related field
- 7+ years of experience in data science and applied machine learning
- 3+ years deploying ML/AI solutions in production environments
- Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, CrewAI)
- Experience building recommendation systems or similar ML-driven applications
- Strong programming skills in Python and experience with ML frameworks (PyTorch, Scikit-learn, MLflow)
- Experience with data platforms and tools (Spark, SQL)
- Experience working with complex datasets, including feature engineering
- Strong collaboration and communication skills across cross-functional teams
- Experience in healthcare, life sciences, or a regulated industry
Preferred
- Familiarity with Databricks and modern cloud-based ML environments (AWS, Azure, GCP)
- Experience deploying agent-based systems into production
- Proven track record of building AI solutions in healthcare or life sciences settings
Why This Role
- Work at the forefront of agentic AI and applied machine learning in a real-world, high-impact environment
- Partner with cross-functional leaders to deliver AI solutions that drive tangible business outcomes
- Be part of a growing, strategic investment in next-generation AI capabilities
Equal Opportunity Employer
We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert
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