Principal Product Manager leading AI-driven product strategy for Memorial Sloan Kettering Cancer Center. Collaborating with teams to optimize data-driven solutions in the healthcare domain.
Responsibilities
Partner with business leaders to align AI product strategy with enterprise objectives.
Own the AI product lifecycle from ideation and validation through delivery, launch, adoption, and continuous improvement.
Translate strategic priorities into clear use cases, feature requirements, and executable delivery plans.
Establish measurable frameworks to evaluate business value, model performance, and product impact beyond traditional metrics.
Serve as the connective layer across data science, engineering, design, and business stakeholders to drive clarity and momentum.
Collaborate with AI engineers and data scientists to define requirements, validate feasibility, and optimize solution design.
Guide trade-off decisions across scope, timeline, and investment while maintaining delivery accountability.
Partner with engineering teams to design scalable data pipelines and support model evaluation and operational readiness.
Ensure responsible and ethical AI usage aligned with organizational governance standards and best practices.
Requirements
7+ years of product management experience in data-driven or technology-enabled product environments.
Hands-on experience with Generative AI, large language models, and conversational AI platforms.
Strong working knowledge of machine learning concepts, data science practices, and AI development lifecycles.
Demonstrated experience defining success metrics and evaluating model and product performance.
Experience operating within healthcare or similarly regulated environments preferred.
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