Sr Director of Data Engineering

OncoHealth

  • 30+ days ago

    Highlights

    Systems/Tools: Expert knowledge of: Azure Data Platform (or comparable cloud data engineering), Databricks (Delta Lake, PySpark), Apache Airflow, Python, SQL, Data Warehousing & Lakehouse Architectures, Data Modeling & Enterprise Data Architecture, DataOps, CI/CD, DevOps Practices. Built on deep oncology expertise, our multidisciplinary team designs, delivers, and continuously advances solutions that help health plans and employers manage costs, close care gaps, and improve outcomes while ensuring people with cancer receive timely treatment and meaningful support.

    Numbers & Facts

    Location
    Websitehttps://oncohealth.us/careers/

    Description

    About OncoHealth

    OncoHealth delivers the industry's first integrated oncology management solution. Built on deep oncology expertise, our multidisciplinary team designs, delivers, and continuously advances solutions that help health plans and employers manage costs, close care gaps, and improve outcomes while ensuring people with cancer receive timely treatment and meaningful support.

    About the Role
     
    The Senior Director of Data Engineering is responsible for defining and executing OncoHealth's enterprise data engineering strategy, architecture, and delivery roadmap. This leader will build and scale a high-performing team of data engineers while creating modern cloud-based data platforms that power analytics, AI, reporting, interoperability, operational excellence, and client-facing insights. 
    The ideal candidate combines deep healthcare and payer domain expertise with strong technical leadership across Azure, AWS, Databricks, Airflow, Python, and modern data platform architectures. This role partners closely with Product, Engineering, Clinical, Operations, Client Success, and Executive Leadership to ensure data is trusted, secure, scalable, and accessible across the organization. 
     
    Primary Responsibilities
    • Define and execute the enterprise data engineering vision aligned with business and product strategy.
    • Establish standards, patterns, and best practices for data architecture, data pipelines, data quality, governance, and platform operations. 
    • Provide technical leadership across Azure, AWS, Databricks, Airflow, Python, SQL, and cloud-native data technologies.
    • Oversee the design, development, deployment, and maintenance of scalable ETL/ELT pipelines and data processing frameworks. 
    • Build, lead, and mentor a world-class Data Engineering organization.
    • Recruit, develop, and retain top engineering talent while fostering a culture of innovation, accountability, and continuous learning.
    • Serve as a subject matter expert for healthcare data ecosystems including claims, eligibility, provider, authorization, clinical, and operational data.
    • Partner with executive leadership to translate business priorities into scalable technology and data solutions.
    About You
    • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science or relevant experience required. MBA or related Master’s preferred.
    • Typical years of experience are 10+ years of data engineering, data platform development, or enterprise data architecture. 5 plus years of leadership experience managing and scaling high-performing engineering organizations. 
    • Demonstrated success building cloud-native data platforms in complex healthcare environments.
    • Experience leading enterprise modernization initiatives involving analytics, AI, and large-scale data transformation.
    • Proven track record partnering with executive stakeholders and influencing strategic business decisions.
    • Deep knowledge of healthcare payer operations, prior authorization, claims, eligibility, provider, clinical, and operational data.
    • Experience with healthcare interoperability standards including FHIR, APIs, and EDI/X12 transactions.
    • Strong understanding of HIPAA, HITRUST, regulatory compliance, and healthcare data governance.
    • Exceptional people leadership and coaching capabilities. Strong executive communication and presentation skills.
    • Ability to lead organizational change and drive enterprise adoption of new technologies.
    • Preferred Skills: Experience supporting AI, machine learning, advanced analytics platforms, Power BI, semantic models, and self-service analytics ecosystems. Familiarity with CMS interoperability mandates and prior authorization workflows. Experience managing remote and globally distributed engineering teams. Understanding in a PE-backed or high-growth healthcare technology company.
    • Systems/Tools: Expert knowledge of: Azure Data Platform (or comparable cloud data engineering), Databricks (Delta Lake, PySpark), Apache Airflow, Python, SQL, Data Warehousing & Lakehouse Architectures, Data Modeling & Enterprise Data Architecture, DataOps, CI/CD, DevOps Practices. 
    About the Location

    OncoHealth is committed to remote, hybrid or in office work options.  The majority of the team will be remote or in hybrid work arrangements with offices in Atlanta, GA and Guaynabo, PR.  We are open to employees nationwide but work primarily in the Eastern and Central Time Zones.

    Our Culture

    Taking ownership of quick action, critically thinking through the needs, and working well with others are key competencies of team member success.  Our leadership is dedicated to building a culture based on respect, clinical excellence, innovation – all with a focused mission of putting patients first! 

    We offer a full benefit package on your first day, along with a company bonus.  You may visit or work from our very modern and engaging offices, and experience a fun, collaborative environment where social activities and community events matter. We enjoy being together!
     
    OncoHealth is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. All employment decisions are based on qualifications, merit, and business need.

    The Opportunity

    The cost of cancer related medical services and prescription drugs in the United States is expected to reach $246 billion by 2030. OncoHealth has enjoyed rapid growth over the past 3 years and seeks smart, collaborative people to join its team. We have just under 250 team members, so we can move swiftly but precisely to the market needs of our customers. Strongly backed financially by Arsenal Capital Partners & McKesson Corporation, we remain in an investment and growth mode. This means we are open-minded to how we get the work done – now is the perfect time to talk to us!

    Our Current Solutions
     
    OneUM by OncoHealth®
    Oncology Specialized Management
    OneUM is our oncology-specific utilization management solution that streamlines prior authorizations, ensuring clinically appropriate, evidence-based care.
     
    Expert Policy & Strategy Guidance
    Our in-house team, including oncologists and board-certified oncology pharmacists, helps optimize your oncology program with clinical and drug management expertise.
     
    Streamlined Prior Authorization
    Submit full treatment regimens in a single request, customized to each partner’s needs.
     
    Clinician-Led, Holistic Reviews
    Oncology-trained reviewers evaluate cases holistically. For potential denials, only managed care oncologists conduct peer-to-peers, ensuring timely, appropriate care.
     
    Iris by OncoHealth®
    Oncology Supportive Care
    Iris provides 24/7 access to oncology trained nurses, therapists, and dietitians to support the physical, emotional, and nutritional challenges of cancer, from diagnosis through survivorship.
     
    Oncology Nurse Support
    Building trusted relationships with members through phone, video, or secure messaging to help prevent avoidable complications while providing continuity of care and personalized support.
     
    Specialized Multidisciplinary Care
    Oncology-trained mental health therapists and dietitians offer 1:1 visits, small groups, and interactive events to support whole-person care, well-being, and member satisfaction.
     
    Digital Tools that Empower
    An evidence-based content library supports members between appointments to reinforce confidence, engagement, and quality of life.
     
    Oncology Insights
    On-Demand Data Analytics
    Gain a real-time, 360° view of your oncology program with insights from both claims and prior authorization data.

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