AI and Data Science Product Manager

MSD • Rahway, PA

3d • Hybrid

About The Position

The AI and Data Science Product Manager will join an AI capability engineering team and help turn machine-learning, large language model, and Agentic AI prototypes into reliable, maintainable services that generate insights from unstructured and semi-structured data across the company’s research and development pipeline. The role is suited to someone with strong analytical or AI/ML fundamentals who is interested in growing into product ownership of NLP and Generative AI products.

The role is embedded in a cross-disciplinary team of data scientists, bioinformaticians, and engineers working on AI/ML and data science applications for drug discovery and development. The person will work with a senior product manager, technical colleagues, and scientific subject matter experts. As the role develops, the employee may own one or more products and lead product discovery, requirements gathering, stakeholder engagement, and adoption.

Requirements

• At least 3 years of professional experience in data science, AI/ML engineering, Agentic AI, AI product management, or a related discipline.
• High school diploma required.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Biomedical Informatics, Engineering, or a related technical field, or equivalent practical experience.
• Strong proficiency in Python, SQL, Git, and data manipulation libraries such as Pandas.
• Ability to translate complex data science concepts for cross-functional stakeholders and eagerness to acquire domain knowledge.
• Eagerness to transition into product management, with prior exposure to drafting technical requirements, defining success metrics, or structuring user stories.

Nice To Haves

• Experience establishing model evaluation frameworks, such as defining LLM benchmarks or measuring precision and recall for NLP tasks.
• Hands-on experience or academic familiarity with NLP techniques and tools such as Hugging Face, spaCy, or LangChain.
• Familiarity with Agentic AI frameworks such as LangGraph.
• Practical exposure to LLM workflows, including Retrieval-Augmented Generation, prompt engineering, and fine-tuning paradigms.
• Familiarity with AI coding assistants.

Responsibilities

• Partner with business partners and scientists to understand operational pain points, identify high-value opportunities, and translate ambiguous needs into technical user stories.
• Own and prioritize a product backlog and organize it for regular deliveries.
• Write clear requirements, acceptance criteria, and value-capture plans to align technical teams and business stakeholders on success.
• Demonstrate features, lead user enablement sessions, gather structured feedback, and measure adoption to refine products.
• Explore and understand partners’ structured and unstructured data and how it can address their needs.
• Collaborate with data engineering teammates to integrate data science prototypes into reliable, production-ready pipelines while following software engineering best practices.
• Establish evaluation metrics and confirm that model performance is sufficient for business needs.
• As product ownership grows, lead product discovery, requirements gathering, stakeholder engagement, and adoption.

Benefits

• Medical, dental, and vision healthcare benefits and other insurance benefits for employees and their families.
• Retirement benefits, including 401(k).
• Paid holidays.
• Vacation.
• Compassionate and sick days.
• Eligible for an annual bonus and long-term incentive, if applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level