Director of Data Engineering & Analytics

Use your data experience to help people live healthier

Have you ever wanted to apply your data leadership skills and experience to help others live healthier lives? At Wellth, we have an opportunity for you to do that.

Wellth strives to motivate and incentivize healthy habits through individualized care plans. Our approach draws on a unique combination of behavioral economics, habit science, and cutting-edge technology to drive positive behavior and habit change among some of the US's most underserved and high-needs patient populations. Our work has produced demonstrable results, with several large health insurers reporting significant reductions in hospitalization rates by up to 44%. Our ambition is to be more than just another digital health startup; we aspire to be a category leader in the $88B health outcomes market, singularly focused on improving the lives and medical outcomes of historically hard-to-engage populations. Our work immediately impacts people's lives daily; we have served over 65,000 patients and prevented an estimated 15,000 days in the hospital, saving 530 lives.

Data is the beating heart of Wellth’s products, powering our outreach, mobile app experiences, internal analytics, and customer-facing reporting that drives our customer expansions. Your active ownership of the data vision and team will lead the company to continued growth in our mission to help chronic disease patients live healthier and happier lives.

You have the opportunity to build systems that drive healthy habit experiences and demonstrate our outcomes.

Specifically, you will:

• Create and communicate the vision and roadmap of Wellth’s data ingestion, warehousing, transformation, analytics, and reporting systems across the company that directly impact our core revenue streams.
• Bring to life our next generation of attributed outcomes reporting that drives customer expansion – these improved patient health outcomes are what we sell!
• Design systems and teams to support our future scale in volume, variety, and availability. The vision covers how Wellth’s data systems maintain high quality, exceptional performance, and flexibility for day-to-day operations as new and changing data sets from external customers, third-party health exchanges, and internal systems arrive.
• Manage and grow a high-functioning team of 12 data managers, engineers, analysts, and scientists.
• Deliver the vision by driving the execution of data projects and work streams across ingestion, transformation, analytics, and reporting. 
• Determine, measure, and manage to KPIs about systems, builders, and operations.
• Collaborate with product managers, technical leaders, and senior executives to understand and serve internal and external stakeholders.
• Continuously maintain and improve the data quality bar throughout the data life cycle. You have experience working with data quality challenges that emerge from partner and third-party data. 
• Be responsible for the architecture of Wellth’s data infrastructure, which enables Wellth to use data effectively in key business decisions at scale.
• Identify optimizations in our data processes and systems that improve efficiency and reduce waste and costs.
• Proactively provide deep analytics and insights to leaders that support their objectives.
• Maintain healthy data governance practice to ensure a reliable single source of truth.
• Protect the privacy of Wellth’s data, its customers, and their patients by following secure SDLC guidelines to maintain our HITRUST certification.

You will be a member of a diverse and supportive team. 

You will manage:

• Data engineers and analysts who work on scalable, automated systems that make data available for downstream systems
• Data quality engineers who iterate on systems that prevent, detect, remediate, and correct data quality issues throughout the data life cycle
• Data analysts and scientists who work on bespoke and evergreen analyses for customer success, member support, finance, and product teams

You will collaborate with:

• Product Managers to ideate and groom potential new system capabilities and discuss new business challenges to solve.
• Internal teams to understand how to improve the systems to meet their business needs.
• Senior leaders and executives to discuss high-level business goals and how data systems can support their deliveries
• Technical leadership, such as senior and staff engineers and architects to solicit technical opinions and guidance
• Our Director of Engineering to closely integrate our member-facing products with our high-quality data systems and analysis

You’ll report to:

• Our CTO for strategic guidance, agile decision-making, and to support your career development and technical and leadership growth.

You might be the candidate we’re looking for.

We’re looking for someone who is:

• A proven, effective people manager with at least 7 years of experience in a people management role, including 3+ years managing and developing a team of data engineers, analysts, scientists, and data engineering managers. With this responsibility, we expect candidates to have created an inspiring and empowered work environment for the data team to thrive, supporting their career paths and identifying individual growth opportunities.
• Accomplished with delivering production data systems, with 5+ years of professional experience building, operating, and improving them.
• Proficient in operational excellence, with 5+ years of experience troubleshooting, remediating, and learning from operational issues with production systems.
• Proficient in analytics and reporting, with 5+ years of experience translating complex data into actionable business insights
• Accomplished in data strategy, governance, and operations, with 5+ years of experience delivering solutions in these areas.
• An accomplished partner with business leaders, technology leaders, and senior executives with an ability to communicate concisely and clearly to audiences of varying technical levels
• Proficient with data engineering, data analysis, data science, and machine learning with medium to large-scale data systems, drawing upon previous hands-on experience as an individual contributor.
• Familiar with our tools, including experience with SQL, Python, dbt, Redshift, Fivetran, Airflow, Postgres, AWS, and more.
• Proficient in data privacy and security, with experience working with People, Product, Customer Success, Sales, Legal, Compliance, and Privacy teams to ensure that we enforce best practices and compliance standards for data privacy and security.
• Experienced with healthcare data and products
• Ideally experienced in a startup environment, being part of a data team that achieved a successful exit is ideal but not required.

To be successful, the ideal candidate:

• Operates with autonomy.
• Thrives on the freedom and responsibility of working at a growing startup.
• Takes ownership of features from start to finish and collaborates well with engineers and other cross-functional roles.
• Teaches, coaches, and mentors, being a force multiplier for the team.
• Is a part of the solution that is helping to fix all aspects of healthcare, from provider to payer to, most importantly, the person seeking care.
• We are a hybrid working company. Our ideal candidate resides in the Los Angeles area and can work in the office at least two days per week.

You will enjoy working with us at Wellth.

The benefits of working with us include:

• Flexible working arrangements, supporting strong remote-first practices and tools with the option to work in our excellent gathering space in Marina Del Rey.
• Robust paid time off and generous parental leave program.
• Competitive salary 
• Health, dental, vision insurance, and FSA/HSA plans.
• Ability to have a positive impact on people who need it most.
• Support of a highly dedicated team focused on building the future of healthcare.

Base Compensation: $200,000 - 240,000K

Wellth is an equal opportunity employer. We value diversity at our company. We do not discriminate based on race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or other protected characteristics.