Clinical Workforce Analytics and Optimization Manager

Job Description

Job Description

Clinical Workforce Analytics and Optimization Manager

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

Compensation: $100,000–$150,000 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 Excellence to 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 worlds—clinical care and operational excellence—bringing 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 activities—maximizing 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:
  • What's the optimal Medical Assistant compensation structure?
  • How many Medical Assistants should be hired to support a given healthcare practice?
  • We're falling short on revenue goals for a particular office - Can we close the gap, and what's the lowest cost way to do so?

Healthcare experience required:

• Background in clinical 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 in primary 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, especially Remote Patient Monitoring (RPM) CPT codes and payer compliance would be a big plus
• Strong communication and stakeholder management skills across clinical and non-clinical teams.
• Bachelor’s 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 with data analytics, statistical modeling, or process engineering.
• Experience leveraging frameworks such as Lean, Six Sigma, or Kaizen to drive measurable outcomes is a big plus
• Demonstrated success in process redesign, such as reducing variance, improving resource allocation, or scaling operational throughput.
• Proficiency with data visualization (Tableau, Power BI, or equivalent) and analytical tools (SQL, Excel modeling, Python/R a plus).

Why This Role Matters

As the company scales 2–3x 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 you'll 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. You'll 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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