Senior Product Manager - Clinical Data

Role overview

Senior Product Manager - Clinical Data at athenahealth

Responsibilities

• You will own defined problem spaces within the Chart Data & ChartSync roadmap, working closely with Engineering, Design, Analytics, Product Management, and other cross-functional teams to turn product direction into measurable outcomes.
• You will actively use AI tools to improve the quality and speed of product management work, including research, customer and market synthesis, data analysis, product discovery, roadmap development, requirements, decision-making, and prototyping.
• You will work across clinical record, interoperability, documents, clinician workflow, Engineering, Design, Analytics, Customer Success, Support, Sales, Product Marketing, and other Product teams to create a coherent experience across athenaOne.
• Develop deep expertise in users, customers, clinical workflows, and the underlying data ecosystem.
• Manage multiple product threads simultaneously, balancing discovery, delivery, customer needs, technical dependencies, and longer-term roadmap work while maintaining focus on the highest-value problems.
• Drive the end-to-end product development lifecycle, including problem discovery, requirements definition, user experience, delivery, rollout, measurement, adoption, and iteration.
• Support successful product rollout, adoption, measurement, and continuous improvement.

Required qualifications

• Expected Education & Experience. 10+ years of overall professional experience, including at least 6 years of Product Management experience.

Employment details

• Location: Bengaluru [Karnātaka] [India]

Benefits

• Maintain a strong understanding of healthcare, health IT, clinical data, interoperability, and clinical workflows relevant to the product area.
• Understanding of healthcare / health IT environments and clinical workflows, or demonstrated ability to quickly develop expertise in a complex domain.

Additional role details

• As a Senior Product Manager on the Chart Data & ChartSync team, you will play a key role in advancing this mission.
• This role requires someone comfortable managing multiple product threads simultaneously, balancing longer-term roadmap discovery with near-term delivery questions, customer needs, technical dependencies, cross-product dependencies, and emerging opportunities.
• You will also partner with Engineering and Design to identify opportunities to incorporate AI directly into the products and experiences delivered to customers.
• This includes improving the flow, quality, relevance, and usability of incoming clinical data and ensuring information is available within the workflow where it is most useful.
• Own defined problem spaces and initiatives within the Chart Data & ChartSync roadmap, from discovery through delivery, adoption, measurement, and iteration.
• Partner with Product Management leadership and other Product Managers to shape product strategy, priorities, and multi-release roadmaps for the broader product area.
• Understand how clinicians find, review, reconcile, and use clinical information from outside their practice and identify opportunities to reduce friction and improve confidence in the patient record.
• Serve as Product Owner for Agile/Scrum teams supporting assigned areas of Chart Data and ChartSync.
• Define priorities, refine epics and user stories, and make thoughtful trade-offs between scope, quality, and timing.
• Establish product metrics and success criteria for assigned initiatives and use quantitative and qualitative evidence to guide product decisions.
• Partner closely with Engineering, UX/Design, Analytics, and other Product teams to simplify the flow of incoming clinical data, improve data quality and relevance, and bring information into workflows where it is most useful.
• Identify and manage cross-product dependencies across athenaOne to create a coherent experience rather than solving individual data and workflow problems in isolation.
• Engage with Customer Success, Support, Sales, Product Marketing, and customers to understand needs, communicate product direction, and support successful adoption.
• Use AI tools as a regular part of product management work to accelerate research, synthesize qualitative and quantitative information, explore product opportunities, develop roadmap thinking, draft and refine requirements, prototype ideas, and improve decision-making.
• Partner with Engineering and Design to use AI to improve how the team discovers, designs, builds, tests, and iterates on products.
• Identify opportunities to thoughtfully incorporate AI into Chart Data and ChartSync experiences where it can reduce manual work, improve understanding of clinical information, or create better outcomes for users.
• Continuously evaluate customer and user feedback to identify emerging product opportunities and areas for improvement.
• Balance near-term delivery needs with longer-term product strategy and roadmap discovery.
• Determine what requires immediate attention, what can wait, and what needs to be true to move each product area forward.
• Validate product value with customers and users before and after launch.
• Communicate product strategy, requirements, priorities, and decisions clearly to customers, senior leaders, Engineering, Design, and cross-functional partners.
• Demonstrated experience owning complex product problems from discovery through delivery, adoption, and measurement.
• Proven ability to manage several meaningful workstreams simultaneously, navigate ambiguity and changing priorities, and make clear decisions about where to focus.
• Strong ability to take complicated and ambiguous problems and translate them into clear product direction and a sequence of achievable investments.
• Experience working with products involving complex data, integrations, workflows, or platform capabilities.
• Experience with healthcare interoperability or clinical data exchange is especially valuable.
• Experience working closely with Agile/Scrum Engineering teams as a Product Owner.
• Strong analytical skills with demonstrated experience using quantitative and qualitative evidence to make product decisions.
• Hands-on experience using AI tools to improve Product Management work, with curiosity about how AI can transform both the product development process and the products being built.
• Experience testing and validating product value with customers and users before and after launch.
• Excellent written and verbal communication skills, with the ability to make complex product and technical topics understandable to customers, senior leaders, and cross-functional partners.
• Experience collaborating effectively with Engineering, Design/UX, Analytics, Product Management, Customer Success, Support, Sales, and Product Marketing.