Senior Analytics Engineer, Clinical Quality and Outcomes

At LifeStance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in mental healthcare.

Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team!

LifeStance Health Values

- Belonging: We cultivate a space where everyone can show up as their authentic self.
- Empathy: We seek out diverse perspectives and listen to learn without judgment.
- Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it.
- One Team: We realize our full potential when we work together towards our shared purpose.

Benefits
As a full-time employee of LifeStance Health, the following benefits are offered: medical, dental, vision, AD&D, short and long-term disability, and life insurance. Additional benefits include a 401k retirement savings with employer match, paid parental leave, paid time off, holiday pay and an Employee Assistance Program.

ROLE OVERVIEW

The Senior Analytics Engineer, Clinical Quality and Outcomes supports the Chief Medical Officer organization in building the future state of clinical quality, patient safety, outcomes measurement, and clinical research analytics at LifeStance.

Reporting to Clinical Strategy, this individual contributor will serve as the bridge between clinical stakeholders, executive leadership, and enterprise data teams. The role will transform complex clinical data into trusted, governed, and actionable insights that drive clinical decision-making, enterprise quality improvement, regulatory readiness, and research initiatives.

The ideal candidate combines deep technical expertise in healthcare analytics with the ability to understand end-user needs and translate them into intuitive dashboard experiences, scalable reporting solutions, and research-grade data assets. This individual will be responsible for ensuring data integrity from source systems through executive reporting, enabling consistent metrics that can confidently be reported internally, externally, to payers, regulatory bodies, board committees, and potentially investors.

This role will support LifeStance in establishing the next generation of clinical analytics capabilities through modern data architecture, cloud data warehouses (e.g., Redshift, Snowflake) and SQL data transformations, data quality frameworks, advanced analytics methodologies, and scalable self-service reporting environments.

Consistent with LifeStance’s values, every member of the LifeStance team is expected to support each other and the mission, which may mean participating in projects and initiatives and performing functions and responsibilities not specifically outlined in this job description.

KEY RESPONSIBILITES

Clinical Data & Analytics Strategy

- Design, build, and maintain SQL-based data transformations that convert EHR and clinical source data into clean, reliable, analysis-ready datasets that are actionable and translatable to our frontline clinicians

- Partner with clinical, operational, and executive leaders to translate clinical questions into measurable analytic requirements, data models, and dashboard experiences, using electronic health record data.

- Serve as a trusted thought partner for clinical quality, outcomes measurement, patient safety, regulatory readiness, and research-based reporting initiatives.

- Identify emerging opportunities to leverage advancements in analytic AI-enabled quality monitoring, and modern healthcare data platforms in the clinical environment.

- Work collaboratively with analytics team members across functions to ensure consistency in practice and reporting across functions: Operations, Clinical Operations, Payor Relations, Business Development

Data Integrity & Governance

- Maintain rigorous data quality controls, validation processes, lineage documentation, and metric governance standards to ensure trust in clinical reporting.

- Design repeatable testing and reconciliation frameworks that identify discrepancies before they reach operational, executive, board, or external reporting audiences.

- Ensure consistency of metric definitions and calculations across dashboards, reports, scorecards, and enterprise reporting environments.

- Apply and uphold data security and privacy best practices for healthcare and health research datasets, including data de-identification standards and minimum-necessary use principles

- Troubleshoot and resolve data quality issues in clinical datasets, performing exploratory analysis and validation to ensure accuracy and consistency of reported metrics
- Document data models, pipeline logic, and dashboard definitions to support transparency, maintainability, and knowledge-sharing across the analytics team

- Collaborate with enterprise data engineering, analytics engineering, and data analysts to align clinical data models with enterprise data architecture and governance standards

Dashboard Architecture & User Experience

- Lead the design of intuitive, user-centered dashboard experiences that enable clinicians, medical leaders, operations leaders, and executives to quickly identify insights and take action.

- Translate workflow requirements into dashboards that support both operational intervention, strategic decision-making, and quality improvement.

- Design reporting experiences that balance flexibility, self-service analytics, and standardized enterprise measures.

- Apply user-centered design principles to ensure dashboards are adopted, trusted, and operationally relevant.

- Develop executive, board, regulatory, and clinician-facing reporting solutions that provide a consistent source of truth across audiences.

Research & Outcomes Analytics

- Build and curate research-grade datasets that support clinical outcomes studies, publication efforts, payer reporting, and real-world evidence generation.

- Partner with clinical and research leaders to operationalize outcomes measures, patient-reported outcomes, and quality indicators into analytically rigorous datasets.

- Ensure data are appropriately validated, documented, and reproducible for internal and external research use.

Data Engineering & Platform Development

- Design and maintain scalable analytics models, data marts, and reporting layers using cloud based data warehouses (AWS Redshift, Snowflake) and modern cloud data architecture.

- Develop and optimize SQL-based transformations supporting clinical quality, patient safety, outcomes, and research reporting.

- Leverage modern analytics engineering practices.  For example: dbt, automated testing, version control, documentation, and CI/CD methodologies.

- Collaborate with enterprise data engineering teams to ensure clinical analytics solutions align with enterprise architecture and future-state platform strategy.

REQUIREMENTS

- Bachelor’s degree in Data Science, Statistics, Computer Science, Informatics, Engineering, Public Health, or a closely related field.

- 7+ years of experience in healthcare analytics, analytics engineering, business intelligence, data science, or related disciplines.

- 5 + years experience working directly with clinical subject matter experts and executive stakeholders to define, refine, and operationalize complex measures.

- Demonstrated experience designing enterprise reporting solutions that support executive, operational, clinical, and regulatory decision-making.

- Advanced SQL expertise with experience building scalable analytic datasets and reporting environments.

- 5+ years developing Power BI or equivalent business intelligence solutions.

- Strong experience with Snowflake and modern cloud-based data platforms.

- Experience implementing data quality testing, metric validation frameworks, and governance approaches that ensure reporting accuracy and consistency.

- Experience translating stakeholder requirements into highly usable and impactful dashboard experiences.

- Strong understanding of healthcare data structures, electronic health record systems, clinical workflows, and quality metrics.

- Qualified candidates must be legally authorized to be employed in the United States

- LifeStance is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.

- Demonstrates awareness, inclusivity, sensitivity, humility, and experience in working with individuals from diverse ethnic backgrounds, socioeconomic statuses, sexual orientations, gender identities, and other various aspects of culture.

PREFERRED SKILLS AND KNOWLEDGE

- Experience supporting behavioral health analytics, patient safety programs, measurement-based care, quality improvement, or regulatory reporting initiatives.

- Experience developing datasets supporting peer-reviewed publications, clinical research, outcomes research, or real-world evidence generation.

- Experience with dbt, Git, automated testing frameworks, semantic modeling, and modern analytics engineering practices.

- Experience working with PHQ-9, GAD-7, safety planning, suicidality measures, HEDIS, CMS metrics, accreditation standards, or quality reporting programs.

- Experience creating executive-level scorecards and board-facing dashboards.

- Master's degree or higher in Public Health, Data Science, Biostatistics, Informatics, Health Services Research, or a related field.

PHYSICAL REQUIREMENTS

- The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

- While performing the duties of this job, the employee is regularly required to sit, stand, bend, talk and hear. The employee is frequently required to walk. The employee must be able to lift and/or move objects up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus.

COMPENSATION:  $132,000 - $145,000/annually in addition to a competitive bonus plan

LifeStance provides the compensation range and benefits that it in good faith believes it might pay and/or offer for this position. LifeStance reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law.

#LI-TS1

LifeStance is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees.  Learn more  about Diversity, Equity and Inclusion at LifeStance.

LifeStance Health complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact our Human Resources Team at [email protected] . Please note: This contact is intended solely for accommodation requests. Inquiries regarding applications, resumes and applicant status should not be sent to this email address as they will not be reviewed or responded to. To apply for a position, please use our official careers page .