Implementation Operations Manager

Remote; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Vida is a virtual, personalized obesity care provider using technology and healthcare professionals to help patients achieve better health outcomes. We seek a data operations professional to document processes, map client data, QA ingestion, and support billing/configuration in a HIPAA-regulated environment.

You will collaborate with Product, Client Success, Engineering and Analytics to ensure readiness across launch workflows, maintain dashboards, and optimize repeatable processes for

Qualifications

• Bachelor’s degree or equivalent experience in a quantitative, technical, or business field.
• 3+ years in data operations, analytics, health tech, or technical implementation.
• Experience in digital health, health plans, employer benefits, or B2B SaaS client onboarding.
• Familiarity with healthcare data types: eligibility, claims, pharmacy, lab, and prior authorization.
• Experience turning contract terms into system configuration, such as billing, SLAs, or performance guarantees.
• Experience working in a HIPAA-regulated environment with handling of protected health information.
• Python scripting experience to automate tasks is a bonus.
• Strong analytical thinking, stakeholder collaboration, and independent work capability.
• Organizational skills to manage multiple tasks and resolve cross-functional issues.

Responsibilities

• Execute Client Success led initiatives including documentation, action plans and status updates.
• Track client details and align internal stakeholders for deliverables.
• Map client data to internal schemas, run test loads and QA data ingestion.
• Monitor SLAs for data processing, maintain dashboards and resolve pipeline issues.
• Onboard client files through GCS and Fivetran into DBT models with QA.
• Load healthcare files (labs, claims, pharmacy) via secure SFTP delivery.
• Collaborate with Engineering to validate ingestion pipelines and surface anomalies.
• Configure pricing, engagement rules and billing workflows using Google Sheets and SQL.
• Coordinate across Product, Client Success, Engineering and Analytics for launches.
• Proactively optimize workflows to increase efficiency and scale processes.
• Maintain changelogs and support continuous improvement of tooling and SOPs.

Skills

Data operations

Analytics

Health tech

SaaS onboarding

Python scripting

Education

Bachelor’s degree in quantitative/technical/business

Job description

ABOUT US

At Vida, we help people get better- and we're helping the healthcare system get better, too.

Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.

By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives.

Responsibilities:

• Execute Client Success led initiatives including documentation of the process, action plan and status on each item in the plan (e.g., issues, resolution and as well as client associated questions/responses).

• Track current and new client details as ongoing reference source.

• Align internal stakeholders, and drive progress on client-facing deliverables and issue resolutions.

• Map client data to internal schemas, run test loads, and perform QA to ensure high data quality and error-free ingestion.

• Monitor SLAs for data processing, maintain operational dashboards, and drive quick resolution of pipeline issues.

• Support file configurations, launch readiness, and platform tooling enhancements within Client Command Center.

• Onboard client files through GCS and Fivetran into DBT models. This includes canonical mapping, eligibility matching, and QA of fill rates.

• Load and process incoming healthcare files (labs, claims, pharmacy) via secure SFTP delivery.

• Collaborate with Engineering to validate ingestion pipelines and surface file anomalies.

• Source and align on requirements for program configuration alongside Product and Account Management stakeholders.

• Update operational tables and maintain changelogs for rule configuration changes.

• Implement billing workflows using Google Sheets, dbt, and SQL transformations.

• Configure pricing, billable items, engagement rules, and grace periods based on contract requirements.

• Validate end-to-end setup using dashboards and raw data pipelines.

• Deploy optimized program rules using custom Python scripts and Firestore.

• Partner with QA to validate member onboarding logic to ensure setup was implemented accurately.

• Coordinate with Product, Client Success, Engineering, and Analytics to ensure readiness across all launch-related workflows.

• Communicate clearly with both technical and non-technical stakeholders.

• Participate in continuous improvement efforts for tooling, templates, and SOPs.

• Serve as a liaison to key Client Success partners (e.g., Marketing, Reporting/Analytics, Product, Engineering) to enhance coordination and visibility into action plans and status of deliverables/priorities.

• Proactively optimize workflows to increase efficiency, reduce manual effort, and scale repeatable processes.

• Additional responsibilities as needed.

Requirements:

• Bachelor’s degree in a quantitative, technical, or business field, or equivalent experience.

• 3+ years in data operations, analytics, health tech, or technical implementation.

• Experience in digital health, health plans, employer benefits, or B2B SaaS client onboarding.

• Familiarity with healthcare data types: eligibility, claims, pharmacy, lab, and prior authorization.

• Experience turning contract terms into system configuration, such as billing, SLAs, or performance guarantees.

• Experience working in a HIPAA-regulated environment with sound handling of protected health information.

• Past working examples of using scripting languages (e.g., Python) to automate and execute tasks is a major bonus.

• Critical thinking skills, ability to analyze data, identify gaps and risks and work with stakeholders, both internal and external, to create and implement recommendations for improvement.

• Must be a self-starter with the ability to work independently or in a team environment and have an ownership mentality.

• Must be organized and able to manage multiple tasks and apply good judgment in resolving complex, cross functional issues.