Clinical Workforce Analytics and Optimization Manager

Clinical Workforce Analytics and Optimization Manager

Location:Austin TX (Hybrid preferred; remote for exceptional candidates)

Compensation: $100000$150000 base salary plus equity (Pre-Series A with Institutional Round coming soon) This is an estimate and we are open-minded to those with both less or more experience.

Our client a rapidly growing Pre Series-A digital health and remote patient monitoring company is seeking a

Clinical Workforce Analytics and Optimization Manager focused on Operational Excellenceto enhance and scale its care delivery and reimbursement workflow. You will leverage your clinical / healthcare background to tackle workforce optimization and operations analytics. This pivotal role bridges two worldsclinical care and operational excellencebringing analytical rigor to clinical operations as the company expands its patient base and enterprise partnerships.

You will drive optimization analytics and scalable systems design - Think capacity planning performance management scheduling and whatever else will help us run smarter. The ideal candidate combines healthcare operational insight with a quantitative process-oriented mindset and thrives at the intersection of clinical protocols efficiency and revenue performance. If you enjoy solving messy problems with data this is a big impact role for someone also interested in joining a fast growth startup that is still in its early stages.

Key Responsibilities

• Operational Optimization:Design and implement clinical workflows for remote patient monitoring programs that balance patient care quality with predictable compliant revenue generation.
• Quantitative Process Management:Apply analytic and optimization methodologies (e.g. Lean Six Sigma linear programming operations research principles) to maximize efficiency and scalability across medical assistant teams.
• Revenue and Compliance Alignment:Build models to predict monitor and improve the balance of billable medical assistant activitiesmaximizing reimbursement while maintaining strict compliance with payer requirements.
• Cross-Functional Collaboration:Partner with clinical product and business teams to translate data insights into actionable process improvements and technology-enabled solutions.
• Performance Analytics:Develop metrics dashboards to measure operational performance staffing productivity patient engagement and reimbursement yield.
• Scalability:Support onboarding and integration of large enterprise accounts ensuring that operational processes scale seamlessly across new patient populations and care protocols.
• Continuous Improvement:Create documentation training and feedback loops to standardize best practices across the organization.
• Conduct ad hoc operational analyses such as:
  • Whats the optimal Medical Assistant compensation structure
  • How many Medical Assistants should be hired to support a given healthcare practice
  • Were falling short on revenue goals for a particular office - Can we close the gap and whats the lowest cost way to do so

Healthcare experience required:

• Background inclinical operations healthcare process optimization or health system performance improvement. You may have started out as a healthcare provider and have moved into the Operations / Optimizations side of things.
• Strong understanding of clinical workflows inprimary care chronic condition management cardiology nephrology or similar settings. Previous experience as a RN / Nurse or other Healthcare role would be helpful.
• Hands-on familiarity with reimbursement models especiallyRemote Patient Monitoring (RPM) CPT codesand payer compliance would be a big plus
• Strong communication and stakeholder management skills across clinical and non-clinical teams.
• Bachelors degree in Nursing Healthcare Administration Industrial Engineering or related field required; advanced degree (MBA MPH MHA or MS in Operations/Analytics) preferred.

Analytical / Optimization experience that will set you apart:

• Quantitative background naturally analytical and comfortable withdata analytics statistical modeling or process engineering.
• Experience leveraging frameworks such asLean Six Sigma or Kaizento drive measurable outcomes is a big plus
• Demonstrated success inprocess redesign such as reducing variance improving resource allocation or scaling operational throughput.
• Proficiency withdata visualization(Tableau Power BI or equivalent) and analytical tools (SQL Excel modeling Python/R a plus).

Why This Role Matters

As the company scales 23x in both patient volume and medical assistant staffing this role ensures that growth translates into consistent compliant and profitable operations. You will be a key architect of a clinical system that optimizes both patient outcomes and financial sustainability.

Why youll love this role:

• Drive Real Operational Impact - Your analyses and models will directly improve how care is delivered every day while also directly impacting company bottom line.
• Be a Trusted Partner to the Clinical Staff. Youll be ensuring teams are fully supported and deployed effectively
• Own the Numbers - Build and maintain the core workforce models that inform key operational decisions
• Join a Mission-Driven Team - Help improve patient outcomes for thousands of patients with Chronic conditions while supporting a fast-growing innovative organization

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