Principal Business Analyst

AI-Augmented Healthcare Product Development

Role Summary

The Senior Product Owner is a hands-on product execution role responsible for translating product strategy, client needs, regulatory requirements, support trends, and workflow priorities into clear, buildable work for engineering teams. This role partners closely with Product Strategy, UX, Architecture, Engineering, PMO, Services, Support, Regulatory, Technical Writing, and GTM stakeholders to ensure product work is well-defined, delivery-ready, validated, documented, and ready for client adoption.

This role is designed for an AI-augmented product development environment. The Senior Product Owner must deeply understand healthcare workflows, translate ambiguous customer needs into clear product decisions, use AI tools to accelerate discovery and analysis, and validate AI-generated outputs with strong domain judgment. In an AI-accelerated flow, polished requirements can look credible while still being wrong; this role exists to make sure they are right.

Key Responsibilities

Product Execution, Requirements & Specification Quality

• Translate product strategy, feature briefs, regulatory requirements, client workflow needs, support trends, and product-line priorities into detailed product requirements and developer-ready stories.
• Frame the real problem before writing the requirement. Separate the underlying customer pain from the requested feature and evaluate alternative solutions before committing to scope.
• Write clear user stories, acceptance criteria, workflow details, edge cases, validation scenarios, configuration considerations, and release-readiness notes.
• Own backlog readiness for assigned product domain, ensuring scope, risk, dependencies, and testability are understood before work enters development.
• Own the Definition of Ready and PRD/specification standard for assigned work, ensuring the team can trust that the requirement is complete enough to build, test, document, support, and release.
• Partner with engineering teams during refinement, sprint planning, development, demos, validation, and post-release issue triage.
• Clarify requirements, answer development questions, and help resolve scope, workflow, or dependency ambiguity quickly and thoughtfully.
• Ensure stories are traceable to client needs, business goals, regulatory requirements, support issues, product strategy, or measurable product outcomes.
• Support UAT, product validation, release readiness, and post-release issue triage.

AI-Augmented Product Ownership

• Use AI tools responsibly to accelerate discovery, synthesis, workflow modeling, edge-case generation, release-note drafting, and requirements analysis.
• Direct the Mary agent and related AI tools to compare options, summarize client input, generate edge cases, draft workflows, pressure-test assumptions, and identify downstream risks.
• Validate AI outputs with healthcare, EHR, regulatory, and domain judgment before those outputs are trusted or used as product decisions.
• Know what not to trust AI to do, including unsupported clinical interpretation, unverified regulatory conclusions, unsafe workflow recommendations, or requirements that appear polished but lack evidence.
• Write high-quality prompts, acceptance criteria, decision records, release notes, and specification artifacts; in an AI world, writing quality matters more, not less.
• Use AI to expand thinking, not replace product judgment.

Healthcare Workflow, Data & Clinical Safety Fluency

• Apply strong ambulatory EHR workflow fluency across documentation, orders, medications, problem lists, results, billing, referrals, interoperability, configuration, and downstream operational workflows.
• Apply clinical safety instinct by identifying where a design could confuse a clinician, create bad data, interrupt care, introduce downstream risk, or create a patient-safety concern.
• Understand that healthcare data standards and clinical vocabularies are not "just codes." Apply appropriate fluency with ICD-10, SNOMED/MEDCIN, RxNorm, NCPDP, FHIR, LOINC, HL7, and related data workflows where relevant.
• Balance workflow usability, data quality, interoperability, regulatory expectations, security/access considerations, and supportability when shaping requirements.
• Escalate patient-safety, regulatory, data integrity, or clinical workflow concerns early and clearly.

Product Decision Quality

• Write lightweight Product Decision Records for high-risk domain decisions, capturing what was chosen, what was rejected, why the decision was made, what evidence was used, and what risks remain.
• Challenge assumptions and distinguish client requests from underlying product problems. The weak answer is, "the client asked for X, so I wrote a story for X." The expected answer is, "the client asked for X, but the underlying problem is Y; here are the options, safest MVP, downstream risks, and evidence used."
• Evaluate solution options with Product Strategy, UX, Architecture, Engineering, Services, Support, Regulatory, and GTM stakeholders before high-impact requirements enter development.
• Make requirements testable, supportable, explainable, and aligned to measurable product outcomes.

Support Ticket & Client Workflow Triage

• Review, analyze, and triage support tickets, client escalations, defects, and enhancement requests.
• Identify patterns across support issues and recommend whether items should be handled as defects, enhancements, training opportunities, workflow clarification, or roadmap candidates.
• Partner with Support, Services, and Implementation teams to understand real-world client workflow impact.
• Participate in client-facing discussions as needed to clarify workflows, validate requirements, or support escalations.
• Translate client and internal stakeholder feedback into actionable product requirements and decision-ready options.

AI-Augmented Spec-Driven Development / Product Operating Model Support

• Support the AI-Augmented Spec-Driven product development flow by helping turn feature briefs, PRD-level context, architecture input, UX direction, regulatory input, and customer evidence into developer-ready stories.
• Partner with Product Strategy and Product Operations to ensure the right artifacts, decisions, and context are available before development begins.
• Collaborate with Architecture and Engineering to incorporate technical constraints, dependencies, security needs, data impacts, system impacts, and integration considerations into the backlog.
• Ensure regulatory, safety, documentation, support, implementation, GTM, and release impacts are considered before work moves into development.
• Protect the Execution POD from ambiguous, unsafe, incomplete, or unvalidated specifications.

GTM, Enablement & Release Readiness

• Contribute to GTM and enablement planning by providing product details, workflow impact, client value, configuration considerations, adoption risks, and release readiness input.
• Partner with Product Strategy, CMO/Marketing, Services, Support, Sales, Regulatory, and Technical Writing to ensure internal teams understand what is changing, why it matters, and how to explain it.
• Provide inputs for release notes, product documentation, training materials, FAQs, demo scripts, sales enablement, internal enablement content, and client-facing product communication.
• Help identify impacted users, client workflows, configuration needs, implementation considerations, training needs, adoption barriers, and support risks.
• Support Services and Support teams in preparing for client rollout, implementation, and post-release questions.

Cross-Functional Leadership

• Serve as a senior product execution partner for assigned product domains.
• Help mentor Product Owners, Business Analysts, and Product Analysts on story writing, acceptance criteria, requirements quality, workflow analysis, AI-augmented discovery, and decision documentation.
• Facilitate alignment between Product Strategy, Engineering, UX, Architecture, Regulatory, Services, Support, PMO, GTM, and Technical Writing.
• Escalate risks, unclear decisions, scope conflicts, patient-safety concerns, and delivery blockers early.
• Help ensure product work is clear, testable, supportable, documented, and aligned to business, client, regulatory, and user needs.

Required Skills & Experience

• Experience as a Product Owner, Business Analyst, Product Analyst, Systems Analyst, or similar role in a software product organization.
• Healthcare IT, EHR, interoperability, revenue cycle, regulated software, or clinical workflow experience strongly preferred.
• Strong requirements analysis, user story writing, acceptance criteria development, and specification-quality discipline.
• Ability to frame problems, challenge assumptions, and distinguish client requests from underlying product problems.
• Ability to use AI tools responsibly for research, synthesis, workflow modeling, edge-case generation, analysis, and drafting, including knowing what not to trust AI to do.
• Experience working directly with engineering/development teams in an Agile environment.
• Ability to analyze complex workflows, identify edge cases, and translate ambiguity into clear requirements and decision-ready options.
• Strong written communication skills, including clear prompts, acceptance criteria, product decision records, release notes, and stakeholder communication.
• Experience triaging support tickets, defects, escalations, or client enhancement requests.
• Ability to balance client needs, product priorities, technical constraints, safety risks, regulatory expectations, and delivery timelines.
• Comfort working with legacy systems, complex data, configuration-heavy workflows, and regulated environments.
• Strong attention to detail, follow-through, ownership, and judgment.
• Strong adaptability and judgment in ambiguous, fast-changing environments; able to quickly pivot, reprioritize, and clarify next steps as product, client, regulatory, or business needs evolve.

Preferred Skills & Experience

• Deep healthcare technology, ambulatory EHR, clinical workflow, interoperability, patient safety, or health IT experience.
• Workflow fluency across orders, medications, documentation, problem lists, results, billing, referrals, clinical decision support, and interoperability.
• Familiarity with ICD-10, SNOMED/MEDCIN, RxNorm, NCPDP, FHIR, LOINC, HL7, APIs, integrations, data workflows, security/access, and configuration-heavy systems.
• Experience supporting GTM, enablement, release readiness, product documentation, demo materials, internal training, client communication, or implementation readiness.
• Familiarity with regulatory, patient safety, compliance, audit, or certification-driven product work.
• Experience with tools such as Jira, Azure DevOps, Confluence, Aha!, Productboard, SharePoint, AI research/drafting tools, or similar platforms.
• Experience working with Services, Support, Implementation, Sales, Marketing, UX, Regulatory, Architecture, Engineering, and Technical Writing teams.

Success Measures

• Quality, clarity, and completeness of user stories, requirements, PRDs/specifications, acceptance criteria, and product decision records.
• Reduction in ambiguity, rework, missed dependencies, and late-stage requirement churn during development.
• Improved backlog readiness, sprint preparation, and Execution POD confidence in incoming specifications.
• Ability to use AI to accelerate discovery and analysis while preventing unsupported or unsafe AI-generated outputs from entering the build.
• Timely and accurate support ticket triage and workflow clarification.
• Strong partnership with Engineering, Product Strategy, Architecture, Services, Support, Regulatory, Technical Writing, and GTM stakeholders.
• Clear release readiness and enablement inputs that improve rollout, supportability, adoption, and client understanding.
• Ability to support GTM and adoption efforts with accurate product, workflow, and value details.
• Positive feedback from development teams and cross-functional partners.
• Improved adoption, reduced support burden, fewer defects, increased user trust, and measurable client or business value.

Role Positioning

This role sits between product strategy and engineering execution. Product Strategy owns roadmap direction, market positioning, product-line priorities, business case, and strategic trade-offs. The Senior Product Owner owns the detailed translation of those priorities into buildable, testable, releasable work.

The Senior Product Owner is accountable for the quality of the specification entering the Execution POD. This includes validating the problem, clarifying the workflow, documenting the decision rationale, identifying risks and dependencies, ensuring acceptance criteria are testable, and supporting release readiness. The role also supports GTM and enablement by ensuring cross-functional teams understand the feature details, workflow impact, client value, risks, configuration needs, and release considerations.

Suggested Salary Range

For a Senior Product Owner with healthcare/EHR experience, strong execution skills, AI-augmented product development fluency, client-facing ability, and GTM/release readiness responsibilities, a reasonable base salary range is:

$130,000-$160,000

For candidates with deep EHR domain expertise, strong technical and semantic fluency, proven ability to operate independently across Product, Engineering, Services, Support, and GTM, aAI-Augmented Healthcare Product Development

Role Summary

The Senior Product Owner is a hands-on product execution role responsible for translating product strategy, client needs, regulatory requirements, support trends, and workflow priorities into clear, buildable work for engineering teams. This role partners closely with Product Strategy, UX, Architecture, Engineering, PMO, Services, Support, Regulatory, Technical Writing, and GTM stakeholders to ensure product work is well-defined, delivery-ready, validated, documented, and ready for client adoption.

This role is designed for an AI-augmented product development environment. The Senior Product Owner must deeply understand healthcare workflows, translate ambiguous customer needs into clear product decisions, use AI tools to accelerate discovery and analysis, and validate AI-generated outputs with strong domain judgment. In an AI-accelerated flow, polished requirements can look credible while still being wrong; this role exists to make sure they are right.

Key Responsibilities

Product Execution, Requirements & Specification Quality

• Translate product strategy, feature briefs, regulatory requirements, client workflow needs, support trends, and product-line priorities into detailed product requirements and developer-ready stories.
• Frame the real problem before writing the requirement. Separate the underlying customer pain from the requested feature and evaluate alternative solutions before committing to scope.
• Write clear user stories, acceptance criteria, workflow details, edge cases, validation scenarios, configuration considerations, and release-readiness notes.
• Own backlog readiness for assigned product domain, ensuring scope, risk, dependencies, and testability are understood before work enters development.
• Own the Definition of Ready and PRD/specification standard for assigned work, ensuring the team can trust that the requirement is complete enough to build, test, document, support, and release.
• Partner with engineering teams during refinement, sprint planning, development, demos, validation, and post-release issue triage.
• Clarify requirements, answer development questions, and help resolve scope, workflow, or dependency ambiguity quickly and thoughtfully.
• Ensure stories are traceable to client needs, business goals, regulatory requirements, support issues, product strategy, or measurable product outcomes.
• Support UAT, product validation, release readiness, and post-release issue triage.

AI-Augmented Product Ownership

• Use AI tools responsibly to accelerate discovery, synthesis, workflow modeling, edge-case generation, release-note drafting, and requirements analysis.
• Direct the Mary agent and related AI tools to compare options, summarize client input, generate edge cases, draft workflows, pressure-test assumptions, and identify downstream risks.
• Validate AI outputs with healthcare, EHR, regulatory, and domain judgment before those outputs are trusted or used as product decisions.
• Know what not to trust AI to do, including unsupported clinical interpretation, unverified regulatory conclusions, unsafe workflow recommendations, or requirements that appear polished but lack evidence.
• Write high-quality prompts, acceptance criteria, decision records, release notes, and specification artifacts; in an AI world, writing quality matters more, not less.
• Use AI to expand thinking, not replace product judgment.

Healthcare Workflow, Data & Clinical Safety Fluency

• Apply strong ambulatory EHR workflow fluency across documentation, orders, medications, problem lists, results, billing, referrals, interoperability, configuration, and downstream operational workflows.
• Apply clinical safety instinct by identifying where a design could confuse a clinician, create bad data, interrupt care, introduce downstream risk, or create a patient-safety concern.
• Understand that healthcare data standards and clinical vocabularies are not "just codes." Apply appropriate fluency with ICD-10, SNOMED/MEDCIN, RxNorm, NCPDP, FHIR, LOINC, HL7, and related data workflows where relevant.
• Balance workflow usability, data quality, interoperability, regulatory expectations, security/access considerations, and supportability when shaping requirements.
• Escalate patient-safety, regulatory, data integrity, or clinical workflow concerns early and clearly.

Product Decision Quality

• Write lightweight Product Decision Records for high-risk domain decisions, capturing what was chosen, what was rejected, why the decision was made, what evidence was used, and what risks remain.
• Challenge assumptions and distinguish client requests from underlying product problems. The weak answer is, "the client asked for X, so I wrote a story for X." The expected answer is, "the client asked for X, but the underlying problem is Y; here are the options, safest MVP, downstream risks, and evidence used."
• Evaluate solution options with Product Strategy, UX, Architecture, Engineering, Services, Support, Regulatory, and GTM stakeholders before high-impact requirements enter development.
• Make requirements testable, supportable, explainable, and aligned to measurable product outcomes.

Support Ticket & Client Workflow Triage

• Review, analyze, and triage support tickets, client escalations, defects, and enhancement requests.
• Identify patterns across support issues and recommend whether items should be handled as defects, enhancements, training opportunities, workflow clarification, or roadmap candidates.
• Partner with Support, Services, and Implementation teams to understand real-world client workflow impact.
• Participate in client-facing discussions as needed to clarify workflows, validate requirements, or support escalations.
• Translate client and internal stakeholder feedback into actionable product requirements and decision-ready options.

AI-Augmented Spec-Driven Development / Product Operating Model Support

• Support the AI-Augmented Spec-Driven product development flow by helping turn feature briefs, PRD-level context, architecture input, UX direction, regulatory input, and customer evidence into developer-ready stories.
• Partner with Product Strategy and Product Operations to ensure the right artifacts, decisions, and context are available before development begins.
• Collaborate with Architecture and Engineering to incorporate technical constraints, dependencies, security needs, data impacts, system impacts, and integration considerations into the backlog.
• Ensure regulatory, safety, documentation, support, implementation, GTM, and release impacts are considered before work moves into development.
• Protect the Execution POD from ambiguous, unsafe, incomplete, or unvalidated specifications.

GTM, Enablement & Release Readiness

• Contribute to GTM and enablement planning by providing product details, workflow impact, client value, configuration considerations, adoption risks, and release readiness input.
• Partner with Product Strategy, CMO/Marketing, Services, Support, Sales, Regulatory, and Technical Writing to ensure internal teams understand what is changing, why it matters, and how to explain it.
• Provide inputs for release notes, product documentation, training materials, FAQs, demo scripts, sales enablement, internal enablement content, and client-facing product communication.
• Help identify impacted users, client workflows, configuration needs, implementation considerations, training needs, adoption barriers, and support risks.
• Support Services and Support teams in preparing for client rollout, implementation, and post-release questions.

Cross-Functional Leadership

• Serve as a senior product execution partner for assigned product domains.
• Help mentor Product Owners, Business Analysts, and Product Analysts on story writing, acceptance criteria, requirements quality, workflow analysis, AI-augmented discovery, and decision documentation.
• Facilitate alignment between Product Strategy, Engineering, UX, Architecture, Regulatory, Services, Support, PMO, GTM, and Technical Writing.
• Escalate risks, unclear decisions, scope conflicts, patient-safety concerns, and delivery blockers early.
• Help ensure product work is clear, testable, supportable, documented, and aligned to business, client, regulatory, and user needs.

Required Skills & Experience

• Experience as a Product Owner, Business Analyst, Product Analyst, Systems Analyst, or similar role in a software product organization.
• Healthcare IT, EHR, interoperability, revenue cycle, regulated software, or clinical workflow experience strongly preferred.
• Strong requirements analysis, user story writing, acceptance criteria development, and specification-quality discipline.
• Ability to frame problems, challenge assumptions, and distinguish client requests from underlying product problems.
• Ability to use AI tools responsibly for research, synthesis, workflow modeling, edge-case generation, analysis, and drafting, including knowing what not to trust AI to do.
• Experience working directly with engineering/development teams in an Agile environment.
• Ability to analyze complex workflows, identify edge cases, and translate ambiguity into clear requirements and decision-ready options.
• Strong written communication skills, including clear prompts, acceptance criteria, product decision records, release notes, and stakeholder communication.
• Experience triaging support tickets, defects, escalations, or client enhancement requests.
• Ability to balance client needs, product priorities, technical constraints, safety risks, regulatory expectations, and delivery timelines.
• Comfort working with legacy systems, complex data, configuration-heavy workflows, and regulated environments.
• Strong attention to detail, follow-through, ownership, and judgment.
• Strong adaptability and judgment in ambiguous, fast-changing environments; able to quickly pivot, reprioritize, and clarify next steps as product, client, regulatory, or business needs evolve.

Preferred Skills & Experience

• Deep healthcare technology, ambulatory EHR, clinical workflow, interoperability, patient safety, or health IT experience.
• Workflow fluency across orders, medications, documentation, problem lists, results, billing, referrals, clinical decision support, and interoperability.
• Familiarity with ICD-10, SNOMED/MEDCIN, RxNorm, NCPDP, FHIR, LOINC, HL7, APIs, integrations, data workflows, security/access, and configuration-heavy systems.
• Experience supporting GTM, enablement, release readiness, product documentation, demo materials, internal training, client communication, or implementation readiness.
• Familiarity with regulatory, patient safety, compliance, audit, or certification-driven product work.
• Experience with tools such as Jira, Azure DevOps, Confluence, Aha!, Productboard, SharePoint, AI research/drafting tools, or similar platforms.
• Experience working with Services, Support, Implementation, Sales, Marketing, UX, Regulatory, Architecture, Engineering, and Technical Writing teams.

Success Measures

• Quality, clarity, and completeness of user stories, requirements, PRDs/specifications, acceptance criteria, and product decision records.
• Reduction in ambiguity, rework, missed dependencies, and late-stage requirement churn during development.
• Improved backlog readiness, sprint preparation, and Execution POD confidence in incoming specifications.
• Ability to use AI to accelerate discovery and analysis while preventing unsupported or unsafe AI-generated outputs from entering the build.
• Timely and accurate support ticket triage and workflow clarification.
• Strong partnership with Engineering, Product Strategy, Architecture, Services, Support, Regulatory, Technical Writing, and GTM stakeholders.
• Clear release readiness and enablement inputs that improve rollout, supportability, adoption, and client understanding.
• Ability to support GTM and adoption efforts with accurate product, workflow, and value details.
• Positive feedback from development teams and cross-functional partners.
• Improved adoption, reduced support burden, fewer defects, increased user trust, and measurable client or business value.

Role Positioning

This role sits between product strategy and engineering execution. Product Strategy owns roadmap direction, market positioning, product-line priorities, business case, and strategic trade-offs. The Senior Product Owner owns the detailed translation of those priorities into buildable, testable, releasable work.

The Senior Product Owner is accountable for the quality of the specification entering the Execution POD. This includes validating the problem, clarifying the workflow, documenting the decision rationale, identifying risks and dependencies, ensuring acceptance criteria are testable, and supporting release readiness. The role also supports GTM and enablement by ensuring cross-functional teams understand the feature details, workflow impact, client value, risks, configuration needs, and release considerations.

Suggested Salary Range

For a Senior Product Owner with healthcare/EHR experience, strong execution skills, AI-augmented product development fluency, client-facing ability, and GTM/release readiness responsibilities, a reasonable base salary range is:

$130,000-$160,000

For candidates with deep EHR domain expertise, strong technical and semantic fluency, proven ability to operate independently across Product, Engineering, Services, Support, and GTM, and GTM, and strong judgment in an AI-augmented product development environment, the upper end of the range may be appropriate.