Manager, Data Science; Remote

Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations. Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.

At Availity, we’re not just another Healthcare Technology company; we’re pioneers reshaping the future of healthcare! With our headquarters in vibrant Jacksonville, FL, and an exciting office in Bangalore, India, along with an exceptional remote workforce across the United States, we’re a global team united by a powerful mission.

We’re on a mission to bring the focus back to what truly matters – patient care. As the leading healthcare engagement platform, we’re the heartbeat of an industry that impacts millions. With over 2 million providers connected to health plans, and processing over 13 billion transactions annually, our influence is continually expanding.

Join our energetic, dynamic, and forward‑thinking team where your ideas are celebrated, innovation is encouraged, and every contribution counts. We’re transforming the healthcare landscape, solving communication challenges, and creating connections that empower the nation’s premier healthcare ecosystem.

We are seeking an experienced Data Science Manager to lead our PDM Data Science team, reporting to the Senior Director of Data Science. This role combines technical leadership, people management, and strategic thinking to drive innovation in our healthcare technology solutions. The successful candidate will be responsible for leading and mentoring a team of data scientists, building a high‑performing collaborative team culture, and directly overseeing the development and deployment of the team’s technical solutions.

The Data Science Manager will drive the end‑to‑end data science development lifecycle, overseeing design, prototyping, development, and end deployment of ML solutions. They will ensure implementation of best practices in statistical modeling and ML, guide architectural decisions, and evaluate emerging technologies. As the primary liaison between data science and other business units, they will translate business requirements into functional specifications, partner with product management to define product roadmap, collaborate with engineering teams, and effectively communicate technical concepts to non‑technical stakeholders.

Sponsorship, in any form, is not available for this position.

Location: Remote, US

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field of study
• 8 years of experience in analytic application development which includes people and financial management responsibilities
• 5 years of experience in managing analytics teams and building relationships with people at a variety of organizational levels
• Direct experience in the software development lifecycle and Agile methodologies, and with proven track record of being able to develop production software.
• 3 years of hands‑on experience in developing analytics solutions, preferably in areas of healthcare Data Science
• Excellent communication and presentation skills- ability to lead a team and present a compelling business case
• Understanding of Data Science and machine learning development methodologies, application design, and information architecture

• Master’s degree
• Knowledge in healthcare business and data
• Experience building out and managing a new Data Science and/or AI team

• Directly impacting how Availity implements Data Science standards and practices
• Pioneering Availity’s Data Science and AI focused teams with a focus on driving automation and helping users understand their next best action
• Managing diverse requirements, negotiate, and effectively articulate rationale and vision behind technical decisions that support the business
• Partnering closely with Product, Engineering and Design leadership to drive impact throughout the product development process with research and data
• Advocating, evangelizing, and implementing modern Data Science and engineering practices