Operations Lead

Overview

HaloMD

About HaloMD

HaloMD leads the way in Independent Dispute Resolution under the No Surprises Act, using data, technology, and deep healthcare expertise to secure predictable reimbursement for out-of-network providers in anesthesia, emergency medicine, air ambulance, and more.

Position Summary:

We are seeking an experienced and highly motivated Data Operations Lead to oversee the day-to-day management of our data pipelines, governance, and operational efficiency. This role requires a hands-on expert who can build, optimize, and monitor complex data systems, ensure data quality, and collaborate across departments to drive business insights and operational excellence.

Responsibilities

Key Responsibilities:

• Lead and manage the Data Operations function, providing mentorship, guidance, and performance management.
• Work with Data Engineering team to help implement and maintain efficient, scalable, and reliable ETL/ELT processes and data pipelines.
• Administer and manage the cloud data stack and associated tools
• Collaborate with engineering, product, analytics, data governance, infrastructure and business teams to meet data requirements and support decision-making.
• Work with the data governance function to establish and enforce governance policies, including data quality standards, metadata management, and compliance with privacy regulations.
• Monitor, troubleshoot, and optimize data infrastructure for performance, cost, and reliability, including cloud and SaaS usage, and help with budgeting for software
• Work in collaboration with DevOps team to  establish and maintain change management practices
• Create and maintain operational documentation, runbooks, and best practices.
• Partner with Data Engineers and Data Scientists to streamline ingestion, transformation, and accessibility of datasets.
• Implement monitoring, alerting, and incident response protocols for data systems.
• Stay up to date with the latest data technologies and industry trends to drive innovation within the team.

Qualifications

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
• 8+ years of experience in Data Operations, Data Engineering, or similar roles, with 2+ years in a leadership capacity.
• Strong experience with cloud platforms (e.g., AWS, Azure) and data warehouse technologies (e.g., Snowflake, Databricks, etc.).
• Proficient in SQL and scripting languages (e.g., Python, Bash).
• Hands-on experience with ETL/ELT frameworks and tools (e.g., Airflow, dbt).
• Experience administering and monitoring Snowflake / SaaS stack.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work cross-functionally in a fast-paced environment.
• Knowledge of DevOps practices, CI/CD for data pipelines, and infrastructure as code is a plus.

Preferred Skills:

• Understanding of data observability tools (e.g., Grafana, Monte Carlo).
• Certification in cloud services (e.g., Azure, Snowflake certification).

Perks & Benefits:

• Hybrid and some Remote options – Work from anywhere within the United States with reliable high-speed internet
• Multiple medical plan options
• Health Savings Account with company contributions
• Dental & vision coverage for you and your dependents
• 401k with Company match
• Vacation, sick time & Company paid holidays
• Company wellbeing program with health insurance incentives

What’s Next?

If you’re ready to bring your skills and passion to our growing team, we want to hear from you! Apply today and help us create a future where success is the standard. 

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