
5001 - 10000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
🔥 5 minutes ago
🇺🇸 United States – Remote
💵 $100k - $140k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷♀️ Project Manager
🦅 H1B Visa Sponsor
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5001 - 10000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
• Define the AI/ML solution vision, scope, dependencies, and risks with cross-functional teams • Develop and maintain the solution roadmap, prioritized backlog, and deliverables with Engineering • Lead delivery of high-quality AI/ML solutions within timeline, scope, and quality standards • Prioritize the AI/ML solution roadmap to deliver high-value MVPs quickly • Gather and communicate progress, metrics, and key results to leadership, executives, internal partners, and stakeholders • Represent the program and team with executives and stakeholders • Translate business needs and challenges into clear problem statements and objectives • Identify business problems and evaluate AI/ML solution potential, risks, and benefits with R&D and Operations • Ensure model deployment into production and support performance monitoring and optimization • Share best practices and collaborate with data science teams across the organization • Use data analytics to optimize program performance and achieve strategic objectives • Complete annual performance review/goal-setting responsibilities and assigned special projects
• Bachelor’s or Master’s degree in Engineering, Computer Science, or another technical-related field • 5+ years of technical product/program management experience • 4+ years delivering data product solutions within an AI/ML solutions portfolio, preferably in healthcare • Skills in concise product requirements with clear, measurable success criteria • Strong understanding of data engineering and AI/ML project lifecycles • Understanding of data platform ecosystems; Databricks experience is a plus • Excellent communication skills and ability to make informed trade-offs • Experience translating complex technical concepts for technical and non-technical audiences • Strong foundation in data engineering and product strategy • Proven experience leading cross-functional teams and delivering results • Effective communication and teamwork skills • Ability to handle sensitive information with discretion and professionalism • Strong organizational and time management skills • Ability to prioritize tasks and meet deadlines • Ability to work independently and collaboratively with urgency • Flexibility to work with diverse teams across time zones and geographical locations • Must provide a dedicated, secure work area • Must provide high-speed internet access/connectivity and office setup and maintenance • Must be able to perform duties with or without reasonable accommodation
• Medical insurance coverage • Dental insurance coverage • Vision insurance coverage • Disability insurance coverage • Life insurance coverage • 401(k) savings plan • Paid family leave • 9 paid holidays per year • 17–27 days of Paid Time Off (PTO) per year, depending on level and length of service • Remote work arrangement • Virtual interviews • Dedicated secure work area and high-speed internet/office setup support requirements
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