Senior Manager of Product Management, Data Science 

Grow your career internally or refer a friend to athenahealth!athenahealth’s Product team is excited to be hiring a Sr. Manager of Product Management, Data Science Platform reporting to the Analytics & AI product leader.This individual will be responsible for leading athena’s MLOps and Data Science teams whose mission is to build and expand the platform that supports our ability to grow and scale our AI development and deployment capabilities. They will develop and execute vision and strategy for our product roadmap and ensure this roadmap is aligned with other product-specific data science roadmaps.They will partner closely with stakeholders across R&D (Data Science, MLOps, and other Product and Engineering teams), and will be tasked with: Developing data-driven business cases and corresponding OKRs, grooming/refining actionable roadmaps with stakeholders, assessing vendor partnership opportunities, and prioritizing work in conjunction with leadership.The ideal candidate is excited by utilizing technology to solve complex business problems, enjoys brainstorming with diverse stakeholders, and always uses data to drive your decision-making.This role is based in our Boston, MA office with an expectation to be in the office one day/week.Day-to-day responsibilities for this role include:· Ensuring teams are equipped with the best systems, tools and processes to deliver high-quality products,· Ensuring MLOps and Support teams have the resources and direction needed to excel.· Staying abreast of the latest tools, technologies, and foundational models in data science.Other role responsibilities include, but are not limited to:· Understanding the needs of data scientists, engineers, and other stakeholders and translating them to actionable requirements.· Defining and aligning on the strategic vision, roadmap, and backlog for data science infrastructure.· Prioritizing work that aligns with athena’s goals and the needs of data science product teams.· Partnering with Data Science Engineering to staff work while maintaining a backlog of opportunities.· Scaling the Support team that manages the lifecycle of data science products, including monitoring, maintenance, and troubleshooting, with a particular focus on governance policy adherence.· Keeping the company at the forefront of the rapidly evolving data science landscape by identifying and evaluating the latest tools, libraries, and foundational models· Researching Data Science market trends and assessing vendor partnership opportunities, with a focus on utilizing Large Language Models to deliver value· Ensuring our Data Science processes are aligned and in compliance with an evolving AI Governance landscapeEducation, Experience, & Skills Required· Bachelor’s Degree required; (Bachelor’s or Masters) in Computer Science, Business, or a related field preferred· 7+ years relevant product management experience; including agile development environments; Agile certification a plus· Broad understanding of data science, machine learning, and MLOps strongly preferred.· Technical understanding – ability to gut check technical feasibility and timelines and to remove technical development barriers· Demonstrated success at driving innovation in a dynamic environment· Excellent verbal and written communication skillsHave you notified your current manager of your application?