Role Overview

• Partner with business leaders to align AI product strategy with enterprise objectives, building shared vision, prioritization alignment, and actionable roadmaps.

• 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.

Key Qualifications

• 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.

Core Skills

• Strategic thinking combined with strong execution discipline and delivery ownership.

• Exceptional collaboration, influence, and stakeholder alignment capabilities.

• Ability to translate complex technical concepts into clear business outcomes and decisions.

• Strong organizational skills with a results-driven, action-oriented mindset.

Additional Information:

• Schedule: Hybrid; Tuesday-Wednesday on site

• Location: 633 Third Avenue, New York, NY

• Reporting to: Senior Director, Product Management

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