
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.
🔥 7 hours 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 timelines, scope, and quality standards • Prioritize the AI/ML solution roadmap and 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 in communications with executives and stakeholders • Translate business needs and challenges into clear problem statements and objectives • Identify business problems with R&D and Operations and evaluate AI/ML opportunities, risks, and benefits • Partner with Operations on model deployment to production and ongoing 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 and duties
• 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 • Product requirements skills with concise, 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 • Ability to translate 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 • Ability to work effectively with diverse teams across time zones and geographical locations • 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 a strong sense of urgency • 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 • Dental insurance • Vision insurance • Disability insurance • 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 • Virtual interviews • Dedicated, secure work area and high-speed internet/office setup supported as working requirements
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