Product Manager I, Data Platform

Memorial Sloan Kettering Cancer Center • New York, NY

1d • $92,700 - $148,400 • Hybrid

About The Position

Memorial Sloan Kettering Cancer Center (MSK) is hiring a Product Manager I for its Data Platform team. The role partners across technical and business teams to build data products and platform capabilities that support analytics, AI, applications, and enterprise reporting. The Product Manager works with users, business stakeholders, engineers, architects, and analytics teams to understand needs and translate them into product requirements, user stories, and acceptance criteria.

The position manages and refines the product backlog, helps sequence work, supports delivery by understanding platform dependencies, and uses product usage, adoption, performance data, and other metrics to inform decisions. It also contributes to product roadmaps, priorities, success metrics, research, stakeholder feedback, launches, communications, documentation, training, and adoption. The role builds expertise in modern data platforms, cloud technologies, analytics, governance, AI, and emerging technologies to identify opportunities for MSK’s data ecosystem.

This is a hybrid position based at 633 Third Ave, with in-office work on Wednesday and Thursday. The schedule is 9 a.m.–5 p.m., Monday through Friday, 37.5 hours per week. The position reports to the Associate Director, Product Management. The stated pay range is $92,700–$148,400.

Requirements

• Bachelor’s degree or an equivalent combination of education and experience.
• 2–4 years of experience in product management, business analysis, technology, data analytics, consulting, or a related field.
• Experience working with data platforms, data products, analytics, or data-driven technology initiatives.
• Experience gathering, documenting, and refining business or product requirements and working with technical and non-technical stakeholders.
• Experience supporting cross-functional initiatives within a complex enterprise environment.
• Strong communication skills to convey requirements, priorities, and product decisions to technical and non-technical audiences.
• Highly organized and detail-oriented, with the ability to triage requests, manage competing priorities, and follow work through to completion.
• Data-driven problem-solving skills, including using analytics, metrics, and structured thinking to evaluate opportunities and inform decisions.
• Strong collaboration skills and ability to build relationships across engineering, architecture, analytics, operations, and business teams.
• Curiosity and adaptability, with an interest in data platforms, cloud technologies, analytics, AI, and continued growth in product management and technology.

Nice To Haves

• Familiarity with analytics and visualization tools such as Tableau or Power BI, modern data platforms such as Databricks, and/or cloud environments such as AWS.

Responsibilities

• Partner with users, business stakeholders, engineers, architects, and analytics teams to understand needs and translate them into product requirements, user stories, and acceptance criteria.
• Manage and refine the product backlog, triage requests, organize priorities, and help sequence work across the data platform.
• Support development of data products and platform capabilities, understanding upstream and downstream dependencies to guide delivery.
• Analyze product usage, adoption, performance data, and other metrics to inform priorities and product decisions.
• Help define product roadmaps, priorities, and success metrics for data platform capabilities.
• Partner with engineering and architecture teams to deliver scalable, secure, and reliable data solutions.
• Conduct user research, gather stakeholder feedback, and identify opportunities to improve data products and user experience.
• Coordinate product launches, communications, documentation, training materials, and adoption activities.
• Build expertise in modern data platforms, cloud technologies, analytics, governance, AI, and emerging technologies to identify future opportunities for MSK’s data ecosystem.

What This Job Offers

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