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Senior Director, Product Management – AI Platform

Job not on LinkedIn

🕒 September 1

🇺🇸 United States – Remote

💵 $140k - $165k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Evolent's careers page, not through a job board

First seen by Remote Rocketship September 1

Still open on Evolent's site. Checked 3 hours ago.

Logo of Evolent

Evolent

1001 - 5000 employees

⚕️ Healthcare Insurance

🏥 Healthcare

☁️ SaaS

Healthcare Insurance • Healthcare • SaaS

Evolent is a healthcare company focused on improving care outcomes through its comprehensive management solutions across multiple medical specialties. They aim to enhance the patient care journey by offering coordinated services in areas like oncology, cardiology, musculoskeletal disorders, and primary care, while ensuring high-quality treatment pathways and cost management. Evolent believes every person deserves quality care, striving to align treatment guidelines and innovative approaches to meet patient needs effectively.

📋 Description

• Define and deliver shared platform components for Evolent's enterprise AI capabilities • Define product vision, strategy, and roadmap for assigned product lines • Conduct market research, competitive analysis, and gather customer feedback • Translate business requirements and user needs into product specifications, user stories, and acceptance criteria • Lead, coach, and guide product managers • Collaborate with engineering, design, sales, marketing, and operations teams on product development, launch, and adoption • Manage the full product lifecycle from ideation and discovery through development, launch, growth, and end-of-life planning • Establish and monitor KPIs to measure product success and inform iterations • Serve as subject matter expert and evangelist at industry events, conferences, and client meetings • Improve product management processes and methodologies • Manage product budgets and resource allocation • Define and execute enterprise-wide AI product strategy aligned with corporate objectives • Lead product, engineering, and data science organizations in identifying, prioritizing, and scaling AI-enabled capabilities • Champion proof-of-concept programs, pilot initiatives, and AI product incubation • Establish frameworks for AI governance, model performance monitoring, responsible AI, and scalability • Drive investment decisions and portfolio prioritization for GenAI and advanced analytics initiatives

🎯 Requirements

• Bachelor's degree in a relevant field (e.g., Business, Computer Science, Healthcare Administration) or equivalent practical experience • Minimum 10+ years of progressive experience in product management, with at least 5 years in a leadership role • Demonstrated experience in healthcare technology or value-based care sector highly preferred • Proven track record launching and scaling complex software products from conception to market • Strong strategic thinking and analytical skills • Excellent leadership, written and verbal communication, and interpersonal skills • Deep understanding of agile development methodologies and product lifecycle management (e.g., Scrum, Kanban) • Experience with product analytics tools and A/B testing frameworks • Ability to manage multiple priorities in a fast-paced, dynamic environment • Strong understanding of healthcare regulatory landscape and compliance requirements (e.g., HIPAA, HITECH) • Extensive leadership experience overseeing GenAI, AI/ML, or advanced analytics product portfolios preferred • Deep expertise in LLMs, responsible AI, enterprise AI governance, and commercialization of AI products preferred • Proven ability to build partnerships with data science, engineering, and executive leadership teams preferred • Experience scaling AI-enabled products across large healthcare, payer, provider, or technology organizations preferred • High-speed internet over 10 Mbps at home • Government-issued photo ID submission and identity verification during interviews • Comprehensive background check • In-person I-9 verification • May be subject to drug screening prior to employment • AI tools prohibited during interviews

🏖️ Benefits

• Work/life balance • Flexible work arrangements • Autonomy • Health insurance benefits (for qualifying employees)

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