Senior Manager, Clinical Operations - Operational Excellence
Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Clinical Operations – Operational Excellence based in the United States.
The Senior Manager, Clinical Operations – Operational Excellence will design and lead the operational systems that help clinical operations teams work more efficiently and scale effectively. The role focuses on reducing administrative burdens, improving decision-making, and creating greater capacity for clinical leaders to concentrate on high-value clinical and leadership responsibilities. You will oversee a team supporting clinicians with day-to-day questions and escalations while transforming workflows through standardization, analytics, automation, and AI-enabled solutions. By building scalable processes, self-service resources, and performance measurement tools, you will improve operational efficiency while maintaining a high-quality clinician experience. This position combines hands-on operational leadership with process architecture, data analysis, and technology implementation. You will have significant ownership in a high-priority area, with the opportunity to shape how clinical operations evolve as the organization grows.
Accountabilities
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Clinical Operations Workflow Design
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Map, design, and manage end-to-end Clinical Operations workflows, including daily processes, ownership, decision points, and responsibilities.
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Establish and maintain standard operating procedures, service-level agreements (SLAs), and clear escalation paths.
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Identify bottlenecks, unnecessary handoffs, and opportunities to simplify processes and improve operational consistency.
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Design scalable workflows that allow clinical operations leaders and support teams to manage increasing demand efficiently.
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Analytics and Performance Measurement
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Use SQL, dashboards, spreadsheets, and business intelligence tools to build reliable reporting on operational demand, workflow performance, resource allocation, turnaround times, recurring requests, and outcomes.
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Analyze request-level data to understand who is requesting support, why demand changes, where intervention is needed, and how operational performance affects broader business results.
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Develop metrics that make workload, capacity, service levels, and the impact of operational improvements visible to leadership.
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Use data insights to prioritize improvements and guide resource allocation and decision-making.
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Automation and AI Enablement
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Identify repetitive tasks and manual processes that can be simplified, automated, or eliminated.
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Build and deploy frontline AI agents and automation solutions that help stakeholders resolve requests faster with fewer manual handoffs and less dedicated staffing.
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Improve data access and workflow integration to support faster, more consistent operational execution.
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Prototype practical solutions using automation, AI, and no-code or low-code tools, and define requirements for more advanced Product, Data, or Engineering investment.
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Clinician Self-Service and Support
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Analyze support demand to identify questions and requests clinicians can resolve independently.
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Develop proactive education through onboarding programs, recurring learning forums, and targeted communications.
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Create accessible self-service resources, including online guidance, FAQs, and support agents.
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Manage and improve the support team responsible for addressing clinician questions and escalations in day-to-day practice.
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Operating Model and Team Enablement
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Develop playbooks, toolkits, job aids, and decision rules that help clinical operations teams and coordinators respond consistently.
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Define how work should be distributed among clinical leaders, coordinators, clinicians, and self-service channels.
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Ensure routine requests are routed efficiently while complex cases retain appropriate escalation paths.
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Measure whether redesigned workflows maintain clinician performance, care quality, and satisfaction as each clinical support team or dyad supports a growing clinician network.
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Lead and develop support staff while reducing the operational burden on clinical operations leadership.
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4–6+ years of professional experience in operations, management consulting, program management, analytics, implementation, or a related field.
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Advanced analytical capabilities, including the ability to write SQL independently and use dashboards, spreadsheets, and business intelligence tools to investigate operational performance.
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Ability to translate request-level and workflow data into actionable insights about demand, capacity, service levels, resource allocation, and business impact.
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Strong workflow design and process improvement skills, including end-to-end process mapping, bottleneck identification, ownership definition, and reduction of unnecessary handoffs.
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Hands-on experience with automation, AI, or no-code and low-code tools to improve frontline operations.
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Ability to prototype operational solutions and translate business needs into requirements for Product, Data, and Engineering teams.
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Experience designing scalable operating models that distribute work effectively across leaders, coordinators, clinicians, and self-service channels.
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Ability to develop practical standard operating procedures, playbooks, service levels, escalation frameworks, and decision rules.
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Strong problem-solving and prioritization skills, with the ability to balance immediate operational needs with longer-term scalable solutions.
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Comfortable working in a hands-on builder-operator capacity, taking ownership of implementation and measurable results.
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Preferred qualifications:
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Experience in healthcare, behavioral health, or another regulated industry.
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Experience in a fast-paced, high-growth organization that has demonstrated operational scale.
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Practical experience with business intelligence platforms, workflow automation tools, or AI agents used in frontline operations.
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Annual salary range of $120,000–$165,000 USD.
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Eligibility for a performance-based bonus.
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Medical, dental, and vision insurance effective from the first day of employment.
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401(k) retirement plan with employer match.
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Generous paid time off and paid holidays.
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Paid parental leave.
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Learning and professional development opportunities.
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Collaborative, mission-driven team environment.
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Remote work opportunity, with a hybrid option for candidates in the New York City metropolitan area.
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Opportunity to build scalable operational systems and contribute to improving clinician experience and mental healthcare delivery.
Benefits
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Requirements
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Skills
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