Senior Technical Product Manager (Clinical Data Platform)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Technical Product Manager (Clinical Data Platform) based in United States.

This role offers the opportunity to shape the technical foundation powering clinical data integration and healthcare innovation at scale.
You will lead product strategy for platforms that ingest, standardize, and serve both structured and unstructured clinical data.
Working closely with business leaders, engineers, analysts, and clinical informaticists, you will translate complex healthcare needs into scalable technical solutions.
You will also help identify and productionize AI and machine learning capabilities that improve clinical insights, data quality, and completeness.
The role combines strategic product leadership with hands-on technical collaboration across the full software development lifecycle.
You will influence roadmaps, optimize live workflows, and ensure platform capabilities deliver measurable business and clinical value.
This is an opportunity to build a future-ready clinical data foundation within a collaborative, remote-first healthcare technology environment.

Accountabilities:

The Senior Technical Product Manager will bridge strategic business objectives and core clinical data platform capabilities, driving product decisions from discovery and solution design through implementation, measurement, and continuous improvement.

• Partner with business owners to establish a shared vision for clinical data problems, constraints, priorities, and desired outcomes.
• Advocate for product strategy and clearly communicate priorities, trade-offs, and solution approaches to stakeholders.
• Continuously optimize live user workflows and platform capabilities using performance metrics and internal user feedback.
• Work with internal teams and end users to understand requirements, evaluate technical solutions, test hypotheses with data, and support execution.
• Collaborate with engineers, data analysts, clinical informaticists, and other technical stakeholders throughout product development.
• Write detailed user stories that clearly capture business rationale, functional requirements, technical considerations, and measurable success criteria.
• Develop short- and long-term product roadmaps that maximize value while managing technical and operational risk.
• Support the expansion of clinical data ingestion, normalization, standardization, and interoperability capabilities.
• Help identify and productionize AI/ML solutions that extract meaningful clinical insights from unstructured data and improve data quality.
• Contribute to platform capabilities that support Medicare Advantage and other downstream healthcare use cases.
• Ensure clinical data products are scalable, reliable, and designed to support future AI and analytics innovation.
• Apply product management and Agile methodologies to drive execution, iteration, and continuous improvement.

Requirements:

The ideal candidate combines strong product leadership with deep technical understanding of healthcare data, clinical workflows, interoperability, and modern data platforms.

• 8+ years of product management experience in healthcare technology, technology-enabled services, or SaaS.
• Demonstrated experience developing and managing healthcare technology products.
• Experience using data analysis and primary research to inform product and solution design.
• Strong understanding of the software development lifecycle and experience working with Agile and Scrum teams.
• Excellent organizational, communication, problem-solving, and stakeholder management skills.
• Intermediate understanding of EHR data integration and standards, including FHIR, QRDA, CCDA, SNOMED CT, LOINC, ICD-10, CPT, and RxNorm.
• Knowledge of healthcare administrative and clinical datasets, including demographics, financial data, encounters, laboratory results, diagnoses, and medications.
• Understanding of clinical workflows across inpatient, ambulatory, and ancillary care settings, including how information is captured and used within EHR systems.
• Experience working with EHR, practice management, revenue cycle, or population health platforms.
• Experience with clinical datasets, patient record linkage, data integration, and interoperability across clinical, administrative, and claims data sources.
• Experience applying NLP and/or machine learning techniques to extract structured clinical insights from unstructured data such as clinical notes, CCDAs, or scanned documents.
• Experience with clinical data pipelines covering ingestion, normalization, mapping, and standardization.
• Familiarity with software development environments, version control systems, and basic coding or scripting languages.
• Proficiency in SQL and experience querying large healthcare datasets using PostgreSQL or similar technologies.
• Experience with Databricks, Spark SQL, Delta Lake, and data pipelines for processing and analyzing large-scale clinical data.
• Strong project management and change-management capabilities, with a focus on execution and measurable outcomes.

Benefits:

• Remote-first work environment with flexible work schedules available for eligible roles.
• Health, dental, and vision insurance with up to 80% of premiums covered for employees, dependents, and domestic partners.
• 21 days of paid time off during the first year.
• Two paid volunteer days and 11 paid holidays.
• 12 weeks of paid parental leave for all new parents.
• Six weeks of paid sabbatical after six years of service.
• Educational assistance and clinical employee reimbursement programs.
• 401(k) plan with up to 4% employer match.
• Stock options.
• Collaborative and inclusive culture focused on healthcare innovation and public health.
• Opportunity to work on complex clinical data and AI/ML challenges with meaningful real-world impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.