Technical Program Manager

Summary

Join Komodo Health as a Technical Program Manager, Analytics Engineer and contribute to the implementation and deployment of complex healthcare data analytics solutions. This role involves building data pipelines, developing ETL processes, and creating dashboards and reports. You will work with cross-functional stakeholders, manage project timelines, and improve engineering processes. The position requires proficiency in programming languages like Python or JavaScript, experience with data structures, and SQL skills. Komodo offers a hybrid work model, competitive compensation, and a comprehensive benefits package including health insurance, paid time off, 401k, and more.

Requirements

• Proficiency in a programming language such as JavaScript or Python (and other languages that allow you to perform your role)
• Some experience with software code versioning using a tool such as GitHub and submitting code for pull reviews
• Some course-level experience with basic data structures
• Open-minded and coachable in developing and deploying code as part of a team

Responsibilities

• Implement data pipelines between source and target systems using various technical methods
• Operate as an ELT (Extract, Load, Transform) and Analytics Engineer to develop, maintain, and curate data sources for consumption
• Work with cross-functional stakeholders to plan, schedule, develop and deploy migration efforts to Snowflake data warehouse
• Develop models from landing database to various destination schemas (incremental tables, views, and tables)
• Successfully coordinate and track multiple project timelines, ensuring key milestones are met and projects are delivered on schedule
• Identify and suggest improvements in our engineering and product development processes leading to increased efficiency
• Enhance collaboration between engineering, product, and operations teams
• Develop and refine project reporting mechanisms, providing critical data insights that aid strategic decision-making
• Partner with stakeholders to build a set of requirements in order to build effective and optimized data products that power dashboards and reporting products
• Develop and optimize ETL processes to load data into our data stores, then implement efficient testing and validation to ensure the accuracy and integrity of the data
• Use scripting (Python or another language) to automate repeatable tasks
• Strong SQL skills and performance tuning; develop data models (using structure and unstructured data) and implement best practices for data warehousing
• Create governance, guidance, code reviews and access controls so that we maintain consistency, quality and business confidentiality as we scale dashboarding across our org
• Design and create visually appealing and intuitive dashboards and reports using BI tools (Tableau) as well as build out best practices for administering our Tableau instance
• Present complex data insights in a clear and concise manner to non-technical and technical stakeholders
• Assist in managing and tracking project schedules and deliverables across the engineering and product teams
• Analyze existing processes and suggest improvements to enhance efficiency and effectiveness
• Collaborate with cross-functional teams to gather and document requirements, ensuring alignment with business objectives
• Support business operations managers in organizing and facilitating project meetings and reviews
• Prepare detailed reports and presentations on project status and health, including risk assessments and mitigation strategies
• Participate in developing and implementing new systems and features, providing operational support where needed

Preferred Qualifications

• Passionate about our mission and technology
• Own your work and be accountable
• Deep knowledge in at least one area and can start contributing quickly
• Technology background, especially in cloud-based architecture with a deep understanding of software development and a passion for data and analytics
• Experience with linear and non-linear regression models and predictive forecasts using open source frameworks
• Experience with end-to-end data and algorithm pipeline and DAG development as well as orchestration tools such as Snowflake, DBT, Git, Airflow, Data Science IDEs, etc
• High proficiency in Python and SQL
• Experience with AWS Lambda functionality and AWS security

Benefits

• Performance-based bonuses
• Equity awards
• Comprehensive health, dental, and vision insurance
• Flexible time off and holidays
• 401(k) with company match
• Disability insurance
• Life insurance
• Leaves of absence in accordance with applicable state and local laws and regulations and company policy
• Competitive total rewards package including medical, dental and vision coverage
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance
• Long-term disability insurance
• Hybrid work model