Data Lead - APCM

What We Do

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.

Why Join Us?

We are 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.

Who We Are

We move fast, raise standards, and own outcomes. We hire drivers, not passengers – people who take initiative, solve problems, and sweat the details because lives depend on it. Momentum matters in healthcare where slow decisions cost lives. At Cadence, we set a high bar and back each other relentlessly to clear it.

Job Summary

The Data Analytics Lead plays a leading role in defining KPIs and building data models that help operationalize and scale core business functions. They drive Cadence’s analytics roadmap by partnering closely with product, operations, customer-facing teams, and business leaders. Their work directly influences strategic decision-making and helps shape Cadence’s deeply data-driven culture.

Responsibilities

• Work closely with teams across the organization (Product Management, Care Delivery, Operations, Customer Success) to organize, prioritize, and execute a roadmap designed to provide quick and scalable analytical support.
• Develop, build, and maintain reports and dashboards that contain actionable metrics to monitor growth, engagement, and clinical outcomes at Cadence.
• Build analyses to uncover metrics that demonstrate Cadence's value to patients and customers.
• Work with operations leaders to establish models for revenue and staffing.
• Explore patient vitals, electronic health records, and patient and clinician-generated data to discover insights that benefit clinical care and health outcomes in patients, and influence the product strategy.
• Collaborate with internal stakeholders to identify data needs and inform what data should be collected and how.

Requirements

• 5+ years of experience working with SQL or other data querying languages
• Hands-on experience with modern data stacks and 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
• Strong communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders