Data Operations Manager

Sword Health is on a mission to free two billion people from pain. 
With 67% of members achieving a pain-free life and a 70% reduction in surgery intent, at Sword, we are using AI Care to change lives, and save millions for our 25,000+ enterprise clients across three continents. Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $300 million from top venture firms like Founders Fund, Sapphire Ventures, General Catalyst, and Khosla Ventures.
Recognized as a Forbes Best Startup Employer in 2025, this award highlights our focus on being a destination for the best and brightest  talent. Not only have we experienced unprecedented growth since our market debut in 2020,  but we’ve also created a remarkable mission and value-driven environment that is loved by our growing team. With a recent valuation of $3 billion, we are in a phase of hyper growth and expansion, and we’re looking for individuals with passion, commitment, and energy to help us scale our global impact. 
Joining Sword means committing to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients.
This is an opportunity for you to make a significant difference on a massive scale as you work alongside 900+ (and growing!) talented colleagues, spanning three continents. Your charge? To help us build a pain-free world, powered by AI, enhanced by people — accessible to all.
Sword Health is looking for an exceptional candidate to join our marketing team as a Data Operations Manager. This individual will be helping our organization to integrate clients (self insured employers and health plans) into Sword’s solutions by building and maintaining data pipelines that can process large volumes of healthcare data. This role requires an independent self-starter who can ensure that information flows timely and accurately.

What you’ll be doing:

• ETL (Extract, Transform, Load) Pipelines: Adept at building and maintaining data pipelines that can process large volumes of healthcare data. This includes cleaning, validating, merging, and enriching data from disparate sources;
• Validation & Cleansing: Implement automated data validation rules to ensure data quality and integrity, proactively identifying errors such as mismatched fields, missing data, or invalid codes (e.g., ICD, CPT);
• Monitoring & Alerting: Sets up robust monitoring and alerting systems (e.g., via logs or dashboards) to detect processing failures, latency issues, or data anomalies in near real time.

What you need to have:

• Eligibility and Claims Data: In-depth knowledge of eligibility, medical claims, pharmacy claims, and prior authorization data, including how these data sets are structured, interpreted, and used across the healthcare ecosystem;
• Regulatory Knowledge: Competence in handling Protected Health Information (PHI) within HIPAA and other relevant regulatory frameworks, with a strong sense of data governance and security;
• Proven experience writing and optimizing SQL queries to extract and analyze large datasets;
• Knowledge of secure transport protocols (SFTP) and data encryption;
• Strong understanding of ETL processes, data integration, system architecture;
• Cross-Functional Collaboration: Comfortable working with cross-functional teams—customer success managers, data engineers, product managers, clinical operations, payer partners—to gather and validate requirements, clarify data definitions, and ensure timely delivery of data feeds;
• Domain Communication: Capable of translating technical details into language that non-technical stakeholders understand, while also diving deep into technical specifics when collaborating with engineers;
• Vendor & Partner Relations: Negotiates technical requirements and SLAs (Service Level Agreements) with external vendors, payers, and healthcare networks, ensuring seamless interoperability;
• Detail-Oriented & Process-Driven: Capacity to maintain meticulous documentation of processes to support troubleshooting and repeatability;
• Problem-Solving: Thrives on diagnosing issues, reconciling data discrepancies, and proposing process improvements that reduce recurring errors and operational overhead;
• Growth focused: Experience and desire to work in a fast-moving high growth environment and having the ability to plan, organize, prioritize and execute multiple activities/projects simultaneously.

What we would love to see:

• Familiarity with data brokers like Availity or Change Healthcare, or familiarity with EDI workf