Senior Manager Engineering, Data Science

Join us and be part of a mission-driven team committed to creating a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Job Title: Senior Manager, Data Science Engineering

We are seeking an experienced Senior Manager to lead our Data Science team within the Analytics & AI division. As a Data Science leader, you will guide and manage teams of data scientists, helping them identify the most impactful use cases, relevant models, best technologies for implementation, and clearest modes of communication for the application at hand. You will collaborate with product and engineering leaders across the company to influence strategies and decisions.

About You

• You thrive on owning important tasks and facing new challenges.
• You are a proven leader with a track record of managing data science teams and initiatives.
• You excel at building teams, cultivating relationships, and influencing senior leadership levels.
• You have an eagerness to learn and share new knowledge.
• You hold yourself and stakeholders accountable while driving business results.
• You have a strong interest in improving healthcare.

About the Team

The data science team is dedicated to harnessing machine learning to address some of the most challenging problems in healthcare. We collaborate with product and engineering leaders across the company to integrate machine learning into our Best In KLAS suite of products. Additionally, we partner with platform engineers to deploy state-of-the-art machine learning models using cloud technologies.

Essential Functions (Duties and Responsibilities)

• Build team culture, HR policies, and hiring standards.
• Direct people management and career pathing responsibilities for a team of data scientists.
• Actively participate in recruiting and interviewing to grow the data science team.
• Evaluate the latest in analytics and machine learning technologies and incorporate them into our data science strategy.
• Stay up-to-date on the latest data science techniques and integrate them into daily work.
• Oversee technical execution and project management for one or more scrum teams to deliver business value for our customers.

Education & Experience Required

• Advanced degree (PhD, MS) in a relevant field such as physics, math, or computer science.
• Excellent verbal communication and business writing skills.
• 9+ years of professional experience in data science or a related role.
• 5+ years of management experience in data science or a related role.
• Experience collaborating with cross-functional teams.
• Healthcare experience preferred but not required.
• Agile/Scrum methodology experience preferred.
• Experience developing machine learning algorithms and predictive models.
• AWS experience preferred.

About athenahealth

Our vision is to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. From historic locations to innovative office spaces, athenahealth's offices were carefully chosen to reflect our spirit and promote a productive work environment. With 10 offices across the United States and India, and numerous remote employees, we work together to modernize healthcare.

Our company culture is vibrant and supportive, fostering innovation and passion among our employees, whom we lovingly call "athenistas." We encourage a diverse and inclusive environment where every athenista feels comfortable bringing their best selves to work. Our size allows for individual contributions to stand out while providing resources and business stability for career growth.

Giving back is integral to our culture. Through our athenaGives platform, we support initiatives in food security, healthcare access, and STEM education. We engage with nonprofit partners to foster long-term relationships for charitable giving, employee volunteerism, and cross-team collaboration.

Perks and Benefits

At athenahealth, we offer health and financial benefits, along with location-specific perks such as commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces—some offices even welcome dogs. We also sponsor events throughout the year, such as book clubs, external speakers, and hackathons. Our company culture emphasizes continuous learning, team support, and an inclusive environment where all employees are valued.

We promote a better work-life balance for our employees with flexible work arrangements. While in-office collaboration is critical to our vision, we recognize that not all work needs to be done within