Analytics Engineering Manager

SmarterDx

7d • $200,000 - $220,000 • Remote

About The Position

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
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.

Requirements

• 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
• 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)

Responsibilities

• 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.
• 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.
• 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.

Benefits

• Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
• Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
• Remote-First Team – Work from anywhere in the U.S.
• Unlimited PTO & 10 Holidays – So you can relax and recharge.
• 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
• Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
• Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 51-100 employees