Data Lead - Remote Patient Monitoring at Cadence Solutions

, , United States -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

200000.0

Posted On

22 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Snowflake, Fivetran, dbt, Data Modeling, KPI Definition, Financial Modeling, Revenue Forecasting, Prompt Engineering, LLM APIs, Statistics, Healthcare Data Analysis

Industry

IT Services and IT Consulting

Description

Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring a Data Analytics Lead - Remote Patient Monitoring (RPM) to define the KPIs, data models, and analytical infrastructure that support Cadence's clinical, operational, and product decisions. You will partner closely with care delivery, operations, product management, and customer success to build a scalable analytics roadmap and translate complex data - including patient vitals, EHR records, and clinical outcomes - into insights that drive strategy. This role sits at the center of how Cadence measures and improves care delivery at scale. What You'll Do Build and maintain labor productivity models and workforce supply/demand forecasts that give clinical operations leadership a clear, real-time picture of staffing needs, capacity constraints, and efficiency trends across the RPM program. Develop financial and operational models, including revenue forecasting and cost-per-patient analyses, that support resource planning and strategic decision-making at the executive level. Explore patient vitals, EHR data, and clinician-generated data to surface insights that benefit clinical care, inform product strategy, and support care gap closure across Cadence's patient population. Build reusable analytical workflows and automation that reduce manual overhead, accelerate insight generation, and raise the quality and consistency of outputs across the analytics function. Collaborate with internal stakeholders to identify data needs, define what data should be collected, and ensure metrics are consistently defined and reliable across teams. Maintain and evolve Cadence's data stack (Snowflake, Fivetran, dbt) with well-documented, scalable infrastructure — and collaborate across teams to define how data is collected, structured, and standardized as a reliable foundation for analytical work. What You Need 5+ years of experience working with SQL or other data querying languages, with hands-on experience building and maintaining analytics, reporting, and dashboarding solutions. Proficiency with modern data stack tools such as Snowflake, Fivetran, and dbt, or equivalent technologies. Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field, or equivalent practical experience. Practical knowledge of statistics and data analysis techniques, with the ability to translate findings clearly for both technical and non-technical stakeholders. Experience working with clinical or health data - including patient vitals, EHR records, or outcomes data - and familiarity with the data structures and sensitivity considerations that come with it. Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production. Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $160,000 - $200,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.

Responsibilities

Define KPIs, data models, and analytical infrastructure to support clinical and operational decisions for Remote Patient Monitoring. Build labor productivity models, financial forecasts, and automated analytical workflows using a modern data stack.