Analytics Engineering Manager

Role

SmarterDx is seeking an experienced Analytics Engineering Manager to lead our Core Analytics Team and build the next generation of our data platform. This team owns “version 2” of our analytics data layer, which is a top strategic priority for 2026 and is foundational to our data-driven business.

Reporting to the Director of Data Analytics, you’ll lead a multidisciplinary team spanning Analytics Engineering, Data Architecture, BI, and Analytics. You’ll set the technical direction for analytics while scaling a team and partnering closely with Data Engineering, Data Platform, Product, and Business stakeholders.

This role is ideal for someone with experience managing, and a hands-on background in, Analytics Engineering or Data Engineering who wants to own analytics architecture and standards while multiplying impact through leadership. While not an IC role, you’ll stay close to the work by reviewing models and PRs, guiding architectural decisions, and unblocking complex technical problems.

**This role is fully remote within the US**

What You'll Do

Core Team priorities for 2026:

• Analytics data warehouse v2: Design, implement, and migrate to a new analytics warehouse, owning modeling patterns, layer contracts (Silver, Gold, Semantic), and metric definitions.
• Clear layer ownership: Define interfaces and responsibilities across ingestion, transformation, and analytics to improve velocity and trust.  
• Clear role definitions: Within the Core team, identify how the Data Analysts and Analytics Engineers work together on the team’s goals.
• Embedded analytics: Launch Omni for client-facing analytics, establish best practices, and train Product and Business Analysts.
• Production analytics tooling: Specify and integrate tools for data quality, anomaly detection, and monitoring.
• Team growth: Scale the Core Analytics team from 4 to 8.
• Platform scale: Support analytics infrastructure for 10 products (9 net new).

How You’ll Spend Your Time

40% Project & Stakeholder Leadership

• Translate business and product needs into durable analytics designs.
• Lead high-impact analytics initiatives tied to achieving OKRs and company strategic expectations.
• Standardize tools and processes to improve scalability and consistency.
• Help stakeholders navigate tradeoffs across correctness, latency, flexibility, and cost.

30% Analytics Strategy & Execution

• Own analytics engineering standards, modeling philosophy (3NF EDW, dimensional marts), and semantic layer design.
• Build data models and semantic layer objects that are appropriately balanced for exploratory flexibility with production-grade rigor.
• Ensure metrics are consistent, discoverable, and trusted across internal and client-facing use cases.
• Establish testing, validation, data quality, and governance practices.

30% Team Leadership

• Build a culture of ownership, curiosity, and technical excellence.
• Mentor and develop all members of the Core team: both senior Data Analysts and Analytics Engineers.
• Run structured performance and growth reviews.
• Identify and address skills gaps and resourcing needs.

What You Bring

• 3-5+ years of experience managing senior data professionals
• Prior hands-on experience as a Data Analyst, Analytics Engineer, or Data Engineer
• Strong track record leading cross-functional data initiatives
• Experience in startups or scaling mid-sized businesses
• Technical skills:
  
  • SQL (Advanced)
  • dbt (Advanced)
  • BI/data visualization tools (Proficient)
  • Python for data (Proficient)
  • Git (Proficient)

Nice To Haves

• 2+ years working with healthcare data (clinical, billing, or both)

Our Tech Stack

• DB: Snowflake
• ELT: dbt cloud and core
• Semantic Layer: dbt MetricFlow
• BI: Hex (internal exploration) and Omni (embedded, production-grade analytics)
• Orchestration: Airflow

Compensation

$200,000 to $220,000 base salary 

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