AVP Product Management, Data & AI Platform

2 days ago

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Logo of League

League

Healthcare Insurance • SaaS • Artificial Intelligence

League is a leading healthcare technology company that provides a platform designed to transform the healthcare consumer experience. Its platform offers digital infrastructure for data-driven, personalized consumer interactions, enhancing engagement and satisfaction for health plans, payers, and providers. League's solutions focus on creating innovative member experiences, acting as a digital destination for consumer health, and providing omni-channel patient experiences. With a focus on data security and compliance, the platform supports personalized care and modernizes healthcare interactions using data and AI. Additionally, League collaborates with partners to enrich the healthcare ecosystem and facilitates technology teams in developing their own solutions through its developer program.

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Define Product Strategy & Vision: Lead and ensure cross functional alignment of our Data & AI platform strategy, ensuring it is meeting the needs of our portfolio of products & customers. • AI Innovation: Advance League’s AI platform through experimentation and implementation of cutting-edge technologies. Product management oversight of AI Health Story, guardrails, evaluation, MCP tools, and more. • Personalization & Engagement: Drive strategy to ensure our platform offers personalized user experiences that meet the highest quality standards, leveraging AI and machine learning to maximize customer engagement and lifetime value • Grow a Team of High Performing Product Managers: Provide expert-level coaching, mentorship, and feedback to support the product managers in your team; and ensure investments are exceeding our goals • Cross-functional Leadership: Partner with peers in engineering, growth, customer strategy, and marketing to ensure platform products are leveraged appropriately and that their value is conveyed to internal and external leaders.

🎯 Requirements

• A minimum of 7+ years of experience in data science product management, data product management, or AI/ML implementation - US healthcare industry experience preferred • A minimum of 3+ years of experience in progressively responsible leadership roles (through to the senior management level), managing medium to large-sized teams and cross-functional initiatives • Proven experience in building and launching successful data products from ideation to market • Strong understanding of AI/ML algorithms and techniques, with experience in applying them to real-world business problems. • Strong business acumen, with the ability to translate data insights and AI/ML models into tangible business value. • Strong collaboration, communication, and interpersonal skills, with experience building positive working relationships with senior leaders across the business. • Results-driven and forward-thinking, with the ability to influence and drive change across the organization. • Excellent presentation and storytelling skills to communicate complex technical concepts to both technical and non-technical audiences

🏖️ Benefits

• Comprehensive Health Benefits: We prioritize your well-being with complete medical, dental, and vision coverage • Bonus Program: Be rewarded for your contributions with our performance-based bonus program • Employee Stock Option Program: Become an owner and share in our success through our stock option program • Unlimited Paid Time Off: Take the time you need to recharge and maintain a healthy work-life balance • Spending Accounts: Manage your healthcare and dependent care expenses with tax-advantaged spending accounts • Wellness Days: Prioritize your mental and physical health with dedicated wellness days throughout the year • Growth Opportunities: We invest in your future with abundant opportunities for professional development and advancement • Mentorship Program: Benefit from guidance and support from experienced leaders in your field • Flexible Ways of Working: Enjoy the freedom to work in a way that suits your life and boosts your productivity

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