Principal Clinical Data Manager Jobs
Principal Clinical Data Manager jobs are open across pharmaceutical, biotechnology, medical device, and contract research organizations, from senior data manager to principal and lead levels, with specializations in clinical trial data management, CDISC standards, and regulatory submissions. See the openings below and apply to the ones that match your experience.
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The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
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.
The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
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.
See All 26 Principal Clinical Data Manager Jobs
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Find JobsPrincipal Clinical Data Manager Job Market
Who's Hiring
Top Industries Hiring
- Retail
- Technology & Software
- E-Commerce & Online Marketplaces
What Employers Look For
The qualifications that appear most often in principal clinical data manager jobs.
- 7 or more years of clinical data management experience in pharmaceutical or CRO settings
- Deep expertise in CDISC standards including SDTM, ADaM, and CDASH across multiple therapeutic areas
- Proficiency in clinical data management systems such as Medidata Rave, Oracle Clinical, or Veeva Vault
- Experience authoring and reviewing Data Management Plans for Phase I through Phase III trials
- Bachelor's or advanced degree in life sciences, health informatics, computer science, or a related field
- Familiarity with FDA, ICH, and GCP regulatory guidelines governing clinical trial data integrity
Tips for Your Principal Clinical Data Manager Job Search
Tailor your resume to CDISC standards
Principal-level postings almost always require demonstrated CDISC expertise, so call out your CDASH, SDTM, and ADaM experience by study type and therapeutic area. Vague mentions of data standards get screened out at the application review stage.
Highlight cross-functional leadership explicitly
Principal roles expect you to lead data management teams and coordinate with biostatistics, clinical operations, and regulatory affairs. Name the cross-functional projects you owned, not just contributed to, and quantify the team size where you can.
Apply early to roles that fit
Migrate Mate lists principal clinical data manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by regulatory pathway
Some postings focus on IND-stage trials, others on NDA or BLA submissions. Matching your experience to the regulatory phase a company is in, whether early Phase I or late Phase III, sharpens your fit and gives you concrete talking points in interviews.
Prepare a data governance portfolio example
Interviewers at the principal level routinely ask for a concrete example of a data management plan or quality control process you built from scratch. Walk through a real DMP you authored, the problems it solved, and the outcomes it produced.
Negotiate scope alongside compensation
Principal clinical data managers often have room to negotiate team structure, therapeutic area focus, or remote work arrangement, not just salary. Clarify during the offer stage which trials you'll own and what direct reports come with the role.
Principal Clinical Data Manager Jobs: Frequently Asked Questions
Which companies are hiring the most principal clinical data managers?
Amazon, Amtrak, and Katalyst Healthcares & Life Sciences are hiring the most principal clinical data managers right now, with openings concentrated in New York, California, and Washington, based on current listings on Migrate Mate as of November 2026. Pharmaceutical sponsors and large contract research organizations consistently account for the majority of active postings at this level.
How many principal clinical data manager jobs are remote?
About 67% of principal clinical data manager openings are fully remote or hybrid as of November 2026, reflecting the documentation-heavy, systems-based nature of the role. Data oversight, DMP authorship, and vendor oversight functions tend to be the most remote-eligible, while site-facing or lab-integration work more often requires on-site presence.
How do you become a principal clinical data manager?
Start with a degree in life sciences, health informatics, or a related field, then build foundational experience as a clinical data coordinator or data manager on Phase II or Phase III trials. Earning CCDM certification from the Society for Clinical Data Management strengthens your profile. Progress to senior data manager roles, take ownership of full study data management plans, and develop cross-functional leadership experience before targeting principal-level postings.
Can you get hired as a principal clinical data manager without direct experience at that level?
Moving into a principal role without the exact title is possible if your experience demonstrates principal-level ownership. Employers respond well to candidates who have independently authored Data Management Plans, led data review meetings, mentored junior staff, and managed external vendors, even if your current title is senior data manager. Framing project scope and accountability clearly in your resume matters more than the title you held.
What does the principal clinical data manager interview process look like?
Most processes start with an HR screen, followed by a technical interview covering CDISC standards, DMP authorship, and your experience with clinical data management systems. A second round typically involves a panel with biostatistics, clinical operations, or regulatory colleagues who probe cross-functional leadership scenarios. Some employers add a practical exercise asking you to review a sample DMP or describe a data quality issue you resolved.
Where can I find and apply to principal clinical data manager jobs?
You can find and apply to principal clinical data manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience in therapeutic area, regulatory phase, and systems expertise, then apply directly to each one that fits.
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