Director of Data Analytics & Outcomes Research
Nadia Care · Charlotte, NC · 1 mo ago
RemoteRemoteAnalyst$185k–$195k/yrFull-time
We need to output HTML fragment with sections: About the role? Actually posting includes "About Us" then description, then role description. We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content.
We need to parse content.
First, "About Us" is not a heading we need? The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Do NOT repeat the job title as a heading. So we should include "About the role" maybe summarizing the role description. The posting includes a description of the role after "Nadia Care is seeking an experienced Director of Data Analytics & Outcomes Research...". That can be under About the role.
Responsibilities: there is a "Responsibilities" heading in the posting. We'll capture that.
Qualifications: there is a "Qualifications" heading.
Skills: not explicitly a heading but there are skill mentions within Qualifications. Could we create a Skills section? The instruction: include a section ONLY when posting has real, specific content for it. There's no separate Skills heading, but we could extract skills from qualifications? Might be better to not create a Skills section if not explicit. However we could include Skills if we infer from qualifications? The instruction says prefer a few substantive sections over many thin ones. Probably we should not create Skills unless there is explicit list. There's no explicit Skills heading. So omit Skills.
Benefits: there is a "Why join us:" section describing benefits, with details about salary, time off, health insurance, etc. So we can create Benefits section.
Pay: there is salary range mentioned: "The expected base salary for this position is between $185,000–$195,000 per year". So we can create Pay section.
Schedule: not mentioned explicitly; maybe remote positions, but no schedule details. So omit Schedule.
Also we need to include metadata like Job ID etc? Not present.
We need to remove boilerplate: cookie/navigation/legal/EEO etc. At end there is scam warning etc. Remove that.
We need to preserve all substantive information.
We need to use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Do NOT repeat the job title as a heading. So we should include "About the role" maybe summarizing the role description. The posting includes a description of the role after "Nadia Care is seeking an experienced Director of Data Analytics & Outcomes Research...". That can be under About the role.
Responsibilities: there is a "Responsibilities" heading in the posting. We'll capture that.
Qualifications: there is a "Qualifications" heading.
Skills: not explicitly a heading but there are skill mentions within Qualifications. Could we create a Skills section? The instruction: include a section ONLY when posting has real, specific content for it. There's no separate Skills heading, but we could extract skills from qualifications? Might be better to not create a Skills section if not explicit. However we could include Skills if we infer from qualifications? The instruction says prefer a few substantive sections over many thin ones. Probably we should not create Skills unless there is explicit list. There's no explicit Skills heading. So omit Skills.
Benefits: there is a "Why join us:" section describing benefits, with details about salary, time off, health insurance, etc. So we can create Benefits section.
Pay: there is salary range mentioned: "The expected base salary for this position is between $185,000–$195,000 per year". So we can create Pay section.
Schedule: not mentioned explicitly; maybe remote positions, but no schedule details. So omit Schedule.
Also we need to include metadata like Job ID etc? Not present.
We need to remove boilerplate: cookie/navigation/legal/EEO etc. At end there is scam warning etc. Remove that.
We need to preserve all substantive information.
We need to use for headings, - for any list of duties/requirements/benefits, and
for prose.
We need to output only HTML fragment.
Let's extract content.
About the role: The paragraph after "Nadia Care is seeking an experienced Director of Data Analytics & Outcomes Research to build and lead the function that turns our data into conviction — conviction about what actually drives member retention and clinical outcomes, and conviction our payer clients can act on." Then continues: "This person will own analytics from data architecture through outcomes measurement to client-facing reporting. This role partners closely with Engineering on technical implementation and with Product on how reporting and outcomes work is delivered to end users. You will lead a small, growing team (data science, data analytics, and health economics/outcomes research) and will be accountable for turning their output into decisions the business and our clients can act on — not just dashboards and reports. You are fluent in AI as a practitioner."
We can put that as prose under About the role.
Responsibilities: The bullet list under Responsibilities: "Lead analytics team on data architecture, integration, analyses and reporting:" then subpoints: Data architecture: define the conceptual structure... Outcomes measurement: build and maintain... Health economics and outcomes research (HEOR): produce... Analyses, inquiries, accuracy: ensure all data analyses... Governance: define metric definitions... Collaborative People Leader: Build, manage, and develop a team... A key member of the Senior Leadership Team...
We need to turn each of these into list items. The subpoints are separated by line breaks. We'll make each as
- .
Qualifications: The list after "Qualifications": "8-12+ years of experience in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team. Expert level experience with a mix of statistical tools for economic and statistical analyses, presentation and visualization including R, Python, SQL, SAS, Excel or Google Sheets and Tableau Prior experience at a healthcare services company — ideally value-based care, payer-facing, or a company managing outcomes-based contracts . Demonstrated ability to translate data into actionable recommendations — not just descriptive reporting, but a defensible perspective on what to do next. Expertise in data modeling (entity relationships, table layouts, metric definitions), and experience supporting CEO, COO, and other executive leaders in a health care services company with experience partnering closely with engineering teams on technical implementation. Expert in health economics, statistics, biostatistics, epidemiology comparative effectiveness, or real-world evidence methodology Comfortable operating in a fast-paced, early-stage, environment with a lean, dynamic team that can develop and pivot when needed Excellent oral and written communication skills — able to represent data and outcomes credibly to internal leadership and external payer stakeholders alike. Own the development of white papers, presentations, and impact briefs that communicate our clinical and cost evidence to payer clients and internal leadership. PhD with 7–10 years of relevant experience, or Master's with 8–12 years, in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team."
We can turn each sentence into list items.
Benefits: The "Why join us:" paragraph includes: "Working with us is a chance to build something from the ground up, shape the future of maternal health, and grow with a team that values impact, ownership, and care. As an early team member, you’ll help define how we deliver care and support at scale. At Nadia Care, we recognize that great talent deserves great rewards. The expected base salary for this position is between $185,000–$195,000 per year, based on years of relevant experience. For full-time employees, we offer a comprehensive benefits package designed to support you both professionally and personally: Time Off That Works for You Recharge with annual paid holidays off. Full-Time Salaried Employees (Exempt): Enjoy unlimited time off after the 90-day introductory period. Full-Time Hourly Employees (Non-Exempt): Receive three weeks of paid time off after the 90-day introductory period. Comprehensive Health & Wellness Coverage Medical Insurance: Access top-tier healthcare, covering hospital, surgical, and prescription drug benefits. Coverage begins the first of the following month. Dental Insurance: Coverage for preventive care, as well as basic and major procedures. Vision Insurance: Coverage for routine eye exams and eyeglasses. Security & Future Planning Options Stock Option Grant: We believe in shared success. Life Insurance: Financial protection for your beneficiaries. Disability Insurance: Short-term and long-term coverage in case of illness or injury. 401(k) Retirement Plan: Opportunity to save for the future. We’re building something great and want you to be part of it. If you're looking for a fast-paced, dynamic environment where your contributions make an impact, apply today! Remote positions are open to candidates in the contiguous US only. Due to operational and compliance requirements, we are unable to hire candidates residing in ND, AL, HI, PR or outside the contiguous US."
We need to separate Pay and Benefits. Pay: salary range. Benefits: time off, health insurance, etc. The instruction: create Pay section only if posting actually states them. So we will have Pay section with salary range. Benefits section with the rest.
We should also maybe include note about remote locations? That's not a benefit but maybe part of Benefits? Could be included in Benefits as note. But we can keep as part of Benefits prose.
We need to avoid boilerplate like scam warning etc. Remove that.
Now construct HTML.
Structure:
About the role
... prose ...
Responsibilities
- Data architecture: define the conceptual structure of our data — entity relationships, table design, and key attributes, and reporting structure
- Outcomes measurement: build and maintain the analytical framework that identifies what is driving clinical outcomes, retention and Nadia Care’s ROI model for payers, and translate it into recommendations the business can act on.
- Health economics and outcomes research (HEOR): produce the clinical and cost evidence that demonstrates program value to payer clients and members.
- Analyses, inquiries, accuracy: ensure all data analyses are accurate, consistent, and repeatable across contracts/markets.
- Governance: define metric definitions, data limitations, and guardrails that keep dashboards and reporting consistent across the organization.
- Collaborative People Leader: Build, manage, and develop a team of data scientists, analysts, and outcomes research specialists. A key member of the Senior Leadership Team with influence and collaboration goals across the organization.
Qualifications
- 8-12+ years of experience in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team.
- Expert level experience with a mix of statistical tools for economic and statistical analyses, presentation and visualization including R, Python, SQL, SAS, Excel or Google Sheets and Tableau.
- Prior experience at a healthcare services company — ideally value-based care, payer-facing, or a company managing outcomes-based contracts.
- Demonstrated ability to translate data into actionable recommendations — not just descriptive reporting, but a defensible perspective on what to do next.
- Expertise in data modeling (entity relationships, table layouts, metric definitions), and experience supporting CEO, COO, and other executive leaders in a health care services company with experience partnering closely with engineering teams on technical implementation.
- Expert in health economics, statistics, biostatistics, epidemiology comparative effectiveness, or real-world evidence methodology.
- Comfortable operating in a fast-paced, early-stage, environment with a lean, dynamic team that can develop and pivot when needed.
- Excellent oral and written communication skills — able to represent data and outcomes credibly to internal leadership and external payer stakeholders alike.
- Own the development of white papers, presentations, and impact briefs that communicate our clinical and cost evidence to payer clients and internal leadership.
- PhD with 7–10 years of relevant experience, or Master's with 8–12 years, in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team.
Benefits
- Time Off That Works for You: Recharge with annual paid holidays off.
- Full-Time Salaried Employees (Exempt): Enjoy unlimited time off after the 90-day introductory period.
- Full-Time Hourly Employees (Non-Exempt): Receive three weeks of paid time off after the 90-day introductory period.
- Comprehensive Health & Wellness Coverage:
- Medical Insurance: Access top-tier healthcare, covering hospital, surgical, and prescription drug benefits. Coverage begins the first of the following month.
- Dental Insurance: Coverage for preventive care, as well as basic and major procedures.
- Vision Insurance: Coverage for routine eye exams and eyeglasses.
- Security & Future Planning Options:
- Stock Option Grant: We believe in shared success.
- Life Insurance: Financial protection for your beneficiaries.
- Disability Insurance: Short-term and long-term coverage in case of illness or injury.
- 401(k) Retirement Plan: Opportunity to save for the future.
- Remote positions are open to candidates in the contiguous US only. Due to operational and compliance requirements, we are unable to hire candidates residing in ND, AL, HI, PR or outside the contiguous US.
But we need to keep Benefits as a section with list items. However nested lists may be okay but we need to follow
- for any list of duties/requirements/benefits, and
for prose. We need to output only HTML fragment. Let's extract content. About the role: The paragraph after "Nadia Care is seeking an experienced Director of Data Analytics & Outcomes Research to build and lead the function that turns our data into conviction — conviction about what actually drives member retention and clinical outcomes, and conviction our payer clients can act on." Then continues: "This person will own analytics from data architecture through outcomes measurement to client-facing reporting. This role partners closely with Engineering on technical implementation and with Product on how reporting and outcomes work is delivered to end users. You will lead a small, growing team (data science, data analytics, and health economics/outcomes research) and will be accountable for turning their output into decisions the business and our clients can act on — not just dashboards and reports. You are fluent in AI as a practitioner." We can put that as prose under About the role. Responsibilities: The bullet list under Responsibilities: "Lead analytics team on data architecture, integration, analyses and reporting:" then subpoints: Data architecture: define the conceptual structure... Outcomes measurement: build and maintain... Health economics and outcomes research (HEOR): produce... Analyses, inquiries, accuracy: ensure all data analyses... Governance: define metric definitions... Collaborative People Leader: Build, manage, and develop a team... A key member of the Senior Leadership Team... We need to turn each of these into list items. The subpoints are separated by line breaks. We'll make each as
- .
Qualifications: The list after "Qualifications": "8-12+ years of experience in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team. Expert level experience with a mix of statistical tools for economic and statistical analyses, presentation and visualization including R, Python, SQL, SAS, Excel or Google Sheets and Tableau Prior experience at a healthcare services company — ideally value-based care, payer-facing, or a company managing outcomes-based contracts . Demonstrated ability to translate data into actionable recommendations — not just descriptive reporting, but a defensible perspective on what to do next. Expertise in data modeling (entity relationships, table layouts, metric definitions), and experience supporting CEO, COO, and other executive leaders in a health care services company with experience partnering closely with engineering teams on technical implementation. Expert in health economics, statistics, biostatistics, epidemiology comparative effectiveness, or real-world evidence methodology Comfortable operating in a fast-paced, early-stage, environment with a lean, dynamic team that can develop and pivot when needed Excellent oral and written communication skills — able to represent data and outcomes credibly to internal leadership and external payer stakeholders alike. Own the development of white papers, presentations, and impact briefs that communicate our clinical and cost evidence to payer clients and internal leadership. PhD with 7–10 years of relevant experience, or Master's with 8–12 years, in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team."
We can turn each sentence into list items.
Benefits: The "Why join us:" paragraph includes: "Working with us is a chance to build something from the ground up, shape the future of maternal health, and grow with a team that values impact, ownership, and care. As an early team member, you’ll help define how we deliver care and support at scale. At Nadia Care, we recognize that great talent deserves great rewards. The expected base salary for this position is between $185,000–$195,000 per year, based on years of relevant experience. For full-time employees, we offer a comprehensive benefits package designed to support you both professionally and personally: Time Off That Works for You Recharge with annual paid holidays off. Full-Time Salaried Employees (Exempt): Enjoy unlimited time off after the 90-day introductory period. Full-Time Hourly Employees (Non-Exempt): Receive three weeks of paid time off after the 90-day introductory period. Comprehensive Health & Wellness Coverage Medical Insurance: Access top-tier healthcare, covering hospital, surgical, and prescription drug benefits. Coverage begins the first of the following month. Dental Insurance: Coverage for preventive care, as well as basic and major procedures. Vision Insurance: Coverage for routine eye exams and eyeglasses. Security & Future Planning Options Stock Option Grant: We believe in shared success. Life Insurance: Financial protection for your beneficiaries. Disability Insurance: Short-term and long-term coverage in case of illness or injury. 401(k) Retirement Plan: Opportunity to save for the future. We’re building something great and want you to be part of it. If you're looking for a fast-paced, dynamic environment where your contributions make an impact, apply today! Remote positions are open to candidates in the contiguous US only. Due to operational and compliance requirements, we are unable to hire candidates residing in ND, AL, HI, PR or outside the contiguous US."
We need to separate Pay and Benefits. Pay: salary range. Benefits: time off, health insurance, etc. The instruction: create Pay section only if posting actually states them. So we will have Pay section with salary range. Benefits section with the rest.
We should also maybe include note about remote locations? That's not a benefit but maybe part of Benefits? Could be included in Benefits as note. But we can keep as part of Benefits prose.
We need to avoid boilerplate like scam warning etc. Remove that.
Now construct HTML.
Structure:
About the role
... prose ...
Responsibilities
- Data architecture: define the conceptual structure of our data — entity relationships, table design, and key attributes, and reporting structure
- Outcomes measurement: build and maintain the analytical framework that identifies what is driving clinical outcomes, retention and Nadia Care’s ROI model for payers, and translate it into recommendations the business can act on.
- Health economics and outcomes research (HEOR): produce the clinical and cost evidence that demonstrates program value to payer clients and members.
- Analyses, inquiries, accuracy: ensure all data analyses are accurate, consistent, and repeatable across contracts/markets.
- Governance: define metric definitions, data limitations, and guardrails that keep dashboards and reporting consistent across the organization.
- Collaborative People Leader: Build, manage, and develop a team of data scientists, analysts, and outcomes research specialists. A key member of the Senior Leadership Team with influence and collaboration goals across the organization.
Qualifications
- 8-12+ years of experience in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team.
- Expert level experience with a mix of statistical tools for economic and statistical analyses, presentation and visualization including R, Python, SQL, SAS, Excel or Google Sheets and Tableau.
- Prior experience at a healthcare services company — ideally value-based care, payer-facing, or a company managing outcomes-based contracts.
- Demonstrated ability to translate data into actionable recommendations — not just descriptive reporting, but a defensible perspective on what to do next.
- Expertise in data modeling (entity relationships, table layouts, metric definitions), and experience supporting CEO, COO, and other executive leaders in a health care services company with experience partnering closely with engineering teams on technical implementation.
- Expert in health economics, statistics, biostatistics, epidemiology comparative effectiveness, or real-world evidence methodology.
- Comfortable operating in a fast-paced, early-stage, environment with a lean, dynamic team that can develop and pivot when needed.
- Excellent oral and written communication skills — able to represent data and outcomes credibly to internal leadership and external payer stakeholders alike.
- Own the development of white papers, presentations, and impact briefs that communicate our clinical and cost evidence to payer clients and internal leadership.
- PhD with 7–10 years of relevant experience, or Master's with 8–12 years, in data analytics, data science, or health economics/outcomes research, including people management experience leading a data team.
Benefits
- Time Off That Works for You: Recharge with annual paid holidays off.
- Full-Time Salaried Employees (Exempt): Enjoy unlimited time off after the 90-day introductory period.
- Full-Time Hourly Employees (Non-Exempt): Receive three weeks of paid time off after the 90-day introductory period.
- Comprehensive Health & Wellness Coverage:
- Medical Insurance: Access top-tier healthcare, covering hospital, surgical, and prescription drug benefits. Coverage begins the first of the following month.
- Dental Insurance: Coverage for preventive care, as well as basic and major procedures.
- Vision Insurance: Coverage for routine eye exams and eyeglasses.
- Security & Future Planning Options:
- Stock Option Grant: We believe in shared success.
- Life Insurance: Financial protection for your beneficiaries.
- Disability Insurance: Short-term and long-term coverage in case of illness or injury.
- 401(k) Retirement Plan: Opportunity to save for the future.
- Remote positions are open to candidates in the contiguous US only. Due to operational and compliance requirements, we are unable to hire candidates residing in ND, AL, HI, PR or outside the contiguous US.