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New York, New York, United States
Hybrid
If you're excited about using data science and AI to improve member health outcomes while delivering meaningful value, Smart Care offers a unique opportunity to do both.
Smart Care builds intelligent, personalized solutions that help identify the right opportunities for our members and enable care teams to take the right actions at the right time. The work spans LLMs, causal inference, deep learning, and deep analytical problem-solving to turn complex clinical and behavioral data into actionable insights and scalable solutions.
As the Smart Care Squad Lead and Product Manager, you'll operate at the intersection of product sense, technical acumen, stakeholder leadership, and user-centered solution design—shaping strategy, driving execution, and translating complex healthcare problems into solutions that improve member outcomes and drive measurable business value.
If building products that help our members while advancing our organizational goals excites you, we'd love to have you help shape the next chapter of Smart Care.
What
• Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption.
• Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement.
• Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business.
• Facilitate continuous improvement in product planning, execution and launch processes.
• Champion Agile methodologies and lean practices in product development.
• Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.
Required Qualifications
• 7+ years’ experience in Product Management or Technical Product Management role
• 5+ years’ experience running the day-to-day product execution with Data Science and/or Engineering teams on the ground
• 3+ years’ experience working with SMEs to uncover nuances in ambiguous business problems and operational processes
• 3+ years’ experience with stakeholder management
• 3+ years’ demonstrated ability to drive outcomes in a complex environment
• 2+ years’ experience building capabilities that leverage AI, ML or other advanced analytics
Preferred Qualifications
• Strong verbal and written communication skills
• Self-starter interested in leveraging new AI tools and technologies to improve productivity and new ways of working
• Excellence in prioritization and aligning senior stakeholders on a unified vision
• Strong Excel/SQL/analytics/Storytelling capability
• Proven track record of managing all aspects of a successful product throughout its lifecycle, especially in taking a product from concept through launch