Technical Operations Manager, Augmedix

Commure; Mountain View (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading company in healthcare technology seeks a Technical Operations Manager to oversee data infrastructure and team management. You will lead data engineering efforts, ensuring data integrity and efficiency, while fostering collaboration across various teams. This role is pivotal in driving automation and establishing best practices in data management, ultimately enhancing patient care through innovative solutions.

Qualifications

• 2-4 years in data science, analytics, or operations at a fast-paced SaaS company.
• Experience building data pipelines and analytics infrastructure.

Responsibilities

• Lead and manage data engineers and operations analysts.
• Design and implement scalable data pipelines.
• Collaborate with teams to integrate data systems.

Skills

Data Analysis

SQL

Excel

Leadership

Collaboration

Tools

Retool

G-Suite

Job description

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Healthcare providers enter medicine to care for people but often spend valuable time on admin work and workplace challenges, reducing the time available for patient care. At Commure, we build solutions that simplify providers' lives and keep them connected to their patients, enabling them to focus on what matters most: providing care.

Our innovative suite of software and hardware, augmented by advanced LLM AI, RTLS, and healthcare workflow automations, boosts efficiency across healthcare domains, allowing providers to dedicate more time to patient care. Our technologies include staff duress alerting, asset tracking, patient elopement, revenue cycle management, clinical documentation, provider copilots, patient engagement, remote monitoring, and more.

We support over 250,000 clinicians across hundreds of care sites nationwide. Healthcare's AI-powered transformation is here—join us to create the technology powering healthcare!

Role Overview

The Data Analyst will oversee the design, development, and maintenance of data infrastructure, pipelines, and systems. This involves managing a team of data engineers, collaborating with cross-functional teams, and ensuring data integrity, scalability, and efficiency to support business and analytical needs. The role also focuses on establishing data management best practices, driving automation, and ensuring high-quality data for decision-making.

What You'll Do

Leadership and Team Management

• Lead, mentor, and manage data engineers and operations analysts, uniting two teams: Data Engineering and Operations Analysts.
• Set team goals, prioritize tasks, and manage workloads to meet deadlines and objectives.
• Provide technical guidance, foster innovation, and support career development.
• Conduct performance reviews and give constructive feedback.

Data Architecture and Infrastructure

• Design and implement scalable, secure data pipelines for acquisition, processing, and storage.
• Maintain data models, warehouses, and lakes for BI and analytics.
• Ensure infrastructure performance, scalability, and security; evaluate re-architecture opportunities.
• Implement data governance, quality, and security best practices.
• Set up data monitoring and alerting systems.
• Build and optimize ETL/ELT processes; automate workflows.
• Ensure data accuracy through cleansing and transformation; incorporate machine learning models where applicable.

Collaboration and Stakeholder Engagement

• Work with engineering, product, and operations teams to integrate data systems.
• Provide insights and reports for strategic decisions.
• Translate business needs into technical data solutions, acting as a liaison between technical and non-technical teams.

Minimum Requirements

• 2-4 years in data science, analytics, consulting, investment banking, or operations at a fast-paced SaaS company.
• Strong experience in data analysis, SQL, and Excel; SQL assessment included in interview.
• Experience building data pipelines, analytics infrastructure, and reporting layers.
• Leadership of remote teams contributing to data/analytics projects.
• Ability to serve as the primary contact for internal analytics and tools.
• Cross-functional collaboration skills with Product, Engineering, and Ops teams.
• Proficiency in documenting and developing operational best practices.
• Drive, curiosity, attention to detail, and a successful track record.
• Comfort working autonomously in ambiguous environments, prioritizing effectively.
• Customer-focused mindset, committed to solving client problems.
• Proficiency in Retool; G-Suite knowledge is a plus.
• Experience in AI Scribe or similar space is a plus.