Senior Manager, AI & Data Science - Medical Affairs
Senior Manager, AI & Data Science
A growing organization is seeking a Senior Manager, AI & Data Science to help drive AI, machine learning, and advanced analytics initiatives across the business. This individual will play a key role in developing scalable AI solutions, leveraging modern data science techniques, and partnering with cross-functional teams to deliver insights that support strategic decision-making.
The ideal candidate combines strong expertise in AI, machine learning, and data engineering with the ability to translate complex technical concepts into business value. This role offers the opportunity to lead projects from concept through production while working closely with technical and business stakeholders.
Key Responsibilities
AI & Machine Learning
- Design, develop, deploy, and maintain AI and machine learning solutions in production environments.
- Build and optimize applications leveraging large language models (LLMs), agentic AI frameworks, and intelligent automation.
- Develop scalable workflows that support data-driven decision-making and operational efficiency.
Data Science & Advanced Analytics
- Apply machine learning, statistical modeling, and advanced analytics techniques to solve complex business problems.
- Analyze large and complex datasets to identify trends, opportunities, and actionable insights.
- Develop predictive models and analytical solutions that support key business objectives.
Data Engineering & MLOps
- Build and maintain data pipelines and workflows that support AI and analytics applications.
- Implement monitoring, performance tracking, and model management processes.
- Ensure solutions are scalable, reliable, and production-ready.
Collaboration & Stakeholder Management
- Partner with cross-functional teams to understand business needs and translate them into technical solutions.
- Communicate findings and recommendations to both technical and non-technical audiences.
- Support governance, compliance, privacy, and data management best practices.
Qualifications
Required
- 7+ years of experience in data science, machine learning, analytics, or a related field.
- 3+ years of experience building and deploying AI/ML solutions in production environments.
- Experience with large language models (LLMs), machine learning frameworks, and modern AI technologies.
- Strong understanding of predictive modeling, statistical analysis, and data-driven decision making.
- Experience building scalable data pipelines and production-grade analytics solutions.
- Proficiency with Python and modern data science and machine learning tools.
- Strong communication and stakeholder management skills.
Preferred
- Experience with agentic AI frameworks, RAG architectures, vector databases, and retrieval systems.
- Experience with cloud platforms and modern data ecosystems.
- Background in highly regulated or data-intensive industries.
- Experience leading large-scale AI and analytics initiatives.
- Advanced degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.
Compensation & Benefits
The organization offers a competitive compensation package that may include:
- Base salary
- Annual bonus opportunity
- Equity participation
- Comprehensive benefits package
FAQs
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