About You

You are passionate about leveraging data to improve healthcare, with a deep commitment to advancing value-based care models that drive better outcomes for patients and providers. You are a servant leader with empathy and integrity, creating an environment where team members feel supported, empowered, and heard. You know high-performing teams are built on trust, collaboration and continuous growth, and are dedicated to fostering a culture where innovation, accountability and shared purpose thrive.

Who We Are

Oasis Health Partners (Oasis) is building healthier communities by advancing primary care. We partner with patients, providers and plans to provide personalized, local care for seniors in towns across America. We believe that patient needs come first, and that primary care is the foundation of patient-centric healthcare. With Oasis, patients receive better access and care. Providers receive the data, resources and expertise to be successful in value-based care arrangements. Payors get the benefit of a solution that improves performance, drives growth and reduces the total cost of care in hard-to-engage markets.

Together, we will boldly advance primary care for those that need it most. We are excited for you to join us on this journey. We invite you to be a part of Oasis, where you’ll discover we listen first, do the right thing, build together and go all in --- while having fun!

Your Role

The Director of Business Intelligence will serve as both a strategic leader and a hands-on technical expert. You will join our small and high-impact tech team to build scalable data pipelines, optimize our modern data stack and deliver reliable data products to internal stakeholders and external partners. You are experienced with Health Plan data (primarily Medical Claims, Eligibility, Pharmacy). You are an expert working with stakeholders to derive insights from data and dashboards. You have experience building and maintaining sophisticated dashboards that stakeholders use daily and understand how to dig into the data to deliver insights and translate analytics into actionable insights.

Additional responsibilities include:

• Collaborating with the Product Owner and Stakeholders to prioritize and deliver roadmap initiatives
• Partnering cross-functionally to understand data needs and define scalable solutions
• Managing project timelines, resourcing and delivery milestones
• Ensuring data quality, observability and documentation are embedded in every process

In the first 12 months you can expect to:

• Build DBT data models
• Produce data products (dashboards/reports)
• Collaborate with the Product Owner and CDAO to align analytics priorities with business objectives
• Partner with stakeholders to identify new data products or features that support value-based care initiatives
• Drive initiatives that position the data platform to scale with company growth

Investment In Our Team

We invest in the personal and professional success of our team. We take care of our people and offer robust benefits including medical, dental, vision, 401k and generous time off plans. We are committed to supporting your growth with a development program that starts with onboarding and continues throughout your career. As an inclusive, passionate, and diverse team, you will partner with professionals who understand the importance of high-value, high-impact patient care.

About You

• 8+ years of experience in healthcare analytics
• 2+ years leading analytics teams
• 4+ years working with health plan data
• Proven ability to lead both technical projects and people
• Experience working in a startup or high-growth environment is a strong plus
• Experience with business intelligence/reporting tools, experience analyzing data, writing queries, and building ad-hoc reports
• Expert SQL developer
• Knowledge of modern database design and emerging data technologies
• Familiarity with emerging data analytic concepts and technologies
• Comfortable working in a matrixed reporting structure and operating with ambiguity

Preferred Experience

• Experience with EMR data
• Experience with HIE data
• Experience with ML/LLMs/AI