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Devoted Health · 14 hours ago

Senior Manager, Population Health Strategy & Operations

United States

Full-time

Remote

Mid, Senior Level

$140K/yr - $160K/yr

3+ years exp

Devoted Health is on a mission to improve the health and well-being of older Americans. The Senior Manager, Population Health Strategy & Operations will ensure clinical programs effectively engage members and connect them to appropriate care, while also refining complex systems to improve performance at scale.

Elder CareElderlyHealth Care

Comp. & Benefits

Responsibilities

Targeting Strategy & Logic. Devoted utilizes advanced targeting systems with complex logic to refine who we engage. You will work as the subject matter expert helping clinical teams navigate this logic, identifying opportunities to adapt our structure to new clinical areas. Partnering with technical teams, you will drive the roadmap to ensure our targeting capabilities evolve to best support our members across all engagement channels

Cross-Functional Clinical Connection. Partner with clinical teams to architect the workflows that connect members between our programs. Instead of viewing these as simple administrative handoffs, you’ll work with clinicians to manage the full lifecycle of a connection—tracking whether a request was made, accepted, and if the member successfully engaged. You will collaborate with teams to identify variation in this process, prioritizing and testing improvements that ensure clinicians can confidently connect members to the right next care

Comprehensive Evaluation & Treatment. Lead the operational push to build comprehensive, clinically precise pictures of our members’ health. This involves working to reduce variability in how clinicians document conditions and partnering with Product/Engineering to deploy tools that aid in diagnosis and treatment. Your goal is to identify and drive the operational changes needed to realize clinical accuracy at scale

Performance Management & Analysis. Leverage data to determine root causes of performance variability. Your role is to help the organization distinguish between signal and noise—ensuring we aren't just hitting targets, but actually changing the underlying operational reality. You will create frameworks that enable evidence-based decisions and drive initiatives to resolve barriers to performance

Qualification

Operational performance improvementAnalytical thinkingBusiness intelligence platformsLeadership impactOperational architectAI explorationsData nuanceScrappy execution

Required

3+ years of experience driving operational performance improvement in complex, regulated, or data-rich environments

Scrappy execution & fast cycles. You are a self-starter who prefers progress over perfection. You are willing to roll up your sleeves to fix a process manually today while architecting the automated solution for tomorrow. You thrive in environments where you need to move fast and adapt quickly

Strong analytical thinking and toolkit. You are comfortable building sophisticated models to size opportunities and evaluate experiments. You have experience leveraging business intelligence platforms (Tableau, Looker, Power BI) and possess the ability to 'think in algorithms' regarding multi-step, probabilistic processes

Demonstrated leadership impact. Experience successfully influencing outcomes across organizational levels—building consensus between technical teams (Data Science/Engineering) and operational end-users without always having formal authority

Operational architect. A track record of refining complex workflows. You can map out cross-functional processes and identify structural improvements to drive key results

Preferred

Experience learning quickly in complex operational domains. We value candidates with experience mastering intricate subject matter quickly, whether inside or outside of healthcare

AI explorations. Curiosity about emerging technologies and a pragmatic approach to using them. Experience using LLMs to build complex prompts and tools is a strong plus

Data nuance & reality testing. You understand the pitfalls of metrics (e.g., how open vs. closed periods affect data, or how denominators shift over time). You are comfortable thinking in ranges and probabilities rather than false precision, and you can distinguish between a metric changing and the underlying reality changing