Head of AI-Driven Analytics & Data Platforms

Develop Health Inc.

Menlo Park (CA)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Health coverage
Dental coverage
Vision coverage
Flexible PTO
High-end workstation

Job summary

Develop Health Inc. in Menlo Park is seeking a Lead Analytics Engineer to own analytics across the platform and customer-facing products used by providers, pharmacies, and payers.

You'll build trusted semantic models, scalable analytics agents, and an AI-native analytics system, while strengthening dbt and Snowflake foundations.

This hands-on IC role requires 3+ years in analytics or data engineering and a passion for turning data into actionable decisions.

Qualifications

  • 3+ years of hands-on analytics or data engineering experience.
  • Demonstrated ability to turn ambiguous questions into actionable analysis and data products.
  • Deep expertise in SQL and dbt; experience with Snowflake or another modern cloud data warehouse.
  • Excellent written and verbal communication, with ability to explain complex data to non-technical partners.

Responsibilities

  • Own analytics at Develop Health and evolve the customer-facing analytics product.
  • Strengthen dbt and Snowflake foundation and establish trusted metrics for patient access and performance.
  • Build an AI-native analytics platform with agents, reusable skills, and self-service workflows.
  • Own the analytics roadmap, data platform, stakeholder relationships, and internal customer-facing analytics.

Skills

Problem ownership
Clear communication
AI-native execution
Analytical mindset

Tools

SQL
dbt
Snowflake
Looker
Python

Job description

Develop Health Inc. in Menlo Park is seeking a Lead Analytics Engineer to own analytics across the platform and customer-facing products used by providers, pharmacies, and payers.

You'll build trusted semantic models, scalable analytics agents, and an AI-native analytics system, while strengthening dbt and Snowflake foundations.

This hands-on IC role requires 3+ years in analytics or data engineering and a passion for turning data into actionable decisions.

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