athenahealth is modernizing the way R&D works by weaving together best-in-class tooling, reliable data pipelines, agile best practices, and generative-AI. The Senior Associate will focus on validating every change and ensuring each release delivers measurable gains in productivity, data quality, and agile maturity for stakeholders.
Requirements
- Strong grasp of Scrum and Kanban, including coaching teams, facilitating ceremonies, and tracking agile metrics
- Familiar with work-management and collaboration platforms such as Jira, Confluence, and git repositories, and able to write clear configuration and automation requirements
- Proficient in SQL, ideally Snowflake, and comfortable building dashboards in Power BI or Tableau
- Experience using Python or JavaScript to prototype automations, perform data-quality checks, and integrate APIs
- Working knowledge of large language models, prompt engineering, and approaches for evaluating accuracy, bias, and safety
- Skilled at designing and interpreting A/B tests, defining success metrics, and iterating quickly based on data
- Proven ability to build relationships across Product Operations, data teams, and IT, influencing priorities without formal authority
Responsibilities
- Partner directly with Product Operations leadership & R&D stakeholders to surface tooling pain points, reporting gaps, and automation opportunities.
- Facilitate stand-ups, backlog refinements, retrospectives, and other agile ceremonies, reinforcing best practices and highlighting data-driven improvements.
- Convert stakeholder feedback into clear user stories, acceptance criteria, and test plans for delivery by internal technology partners; maintain a prioritized, living backlog.
- Coordinate demonstrations, user-acceptance testing, and post-release reviews to ensure enhancements meet agreed-upon business outcomes.
- Communicate upcoming tooling and AI capabilities in clear, business-focused language, ensuring Product Division employees understand value and change management.
- Work in partnership with Product Operations Analytics leadership to refine, scale and automate analytics pipelines powered by OpenAI, Azure OpenAI, Claude, or Gemini; auto-generate analyses, stakeholder summaries, and enriched metadata with zero manual touch
- Track accuracy, response time, and cost per insight; roll out incremental, data-driven improvements that keep raising quality while controlling spend
Other
- This office-first hybrid role includes < 10 percent travel.
- Excellent communicator, thoughtful team player, highly adaptive, and a strong sense of personal integrity
- Clear communicator who can translate technical details into plain-language training materials and documentation
- Bias toward action, curiosity, and self-directed learning.
- 3- 5 years of professional experience in tooling enablement, DevOps coordination, analytics, or similar roles within a software-development environment
