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Director of Data Engineering

AbilTo · Jun 8th 2020

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*This is a REMOTE position. OVERVIEW AbleTo is the leading provider of high quality, technology-enabled behavioral health care. AbleTo believes that everyone deserves access to high quality care, and offers a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals with AbleTo highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Clinical best practices are leveraged across all services to ensure individuals are getting the care they need. Our outcomes-focused care is proven to improve depression and anxiety by over 50% on average, as demonstrated in several peer-reviewed studies. For patients with high cost medical conditions, our clinically-tailored treatment is proven to reduce medical costs with care that empowers the patient to address their health needs. AbleTo partners with payers to make high-quality care accessible, affordable and convenient for millions of people to get the treatment they need.

Data is integral to nearly everything that we do at AbleTo, and as a result the data engineering operations team plays a key role at our company. You should be excited to work with data, have the curiosity to dive deeply into issues, and feel empowered to make a meaningful impact at a mission-driven company. Our data engineers are responsible for capturing, storing and organizing key business data assets, supporting data scientists in building algorithms used for patient identification/engagement/treatment, and supporting useful and actionable reporting for the business.

Responsibilities PRIMARY RESPONSIBILITIES Lead, manage and grow a distributed team of 5 data engineers to ensure a high level of performance and efficacy. Provide guidance to the team (set goals, measure progress) in key architectural, design, and product decisions of large initiatives. Oversee the ingestion of large volumes of health plan claims data (150M records and growing) efficiently and to ensure data integrity and support reporting to the enterprise and to our clients. We have several new products on our roadmap that will contribute to data growth. Partner with Data Scientist and healthcare data analysts to manage the process of running multiple predictive/targeting algorithms which identify members who could benefit from the company's programs and services. Partner with other remote stakeholders in the business (engagement centers, finance, clinical operations and other areas of the company) to support their data needs.. Implement data handling policies and processes developed by the Data Governance Committee With engineering and data leadership, define and instill standard methodologies for platform management and engineering excellence (automation, quality assurance, efficiency, and productivity). Establish and maintain performance, accuracy, and reliability using data driven metrics.

Key Initiatives over the next 12 months

Lead the rebuilding of the data ingestion process to create a more efficient process and to adhere to industry standards Productionalize, harden and deploy new targeting/predictive models being developed by the data science team Complete implementation of the data mart that is currently under development. Key Processes and Systems Owned and Managed by Data Operations Data Management - Airflow/Composer, DataProc, Great Expectations, Luigi Google Cloud Platform - Kubernetes, BigQuery, Firestore Databases - Mongo, CloudSQL *Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Qualifications POSITION REQUIREMENTS Experience: Bachelors (or Masters) in Computer Science, Mathematics, Operations Research, or other related discipline or equivalent work experience 5+ years of healthcare industry experience running highly available production systems especially involving healthcare claims data 4+ years coding in Python and SQL Experience with workflow management platforms and frameworks such as Airflow or Luigi 5+ years experience managing data engineers in an agile environment (Scrum, Kanban, SAFe). 5+ years of applying common architectural patterns and frameworks (EDI, HL7) in a Healthcare Industry. Experience working with either Google Cloud Platform or AWS with experience in data systems deployment patterns Competencies:

You are a collaborator. You build and maintain strong, productive working relationships with internal stakeholders and external customers. You are an engineer at heart. You have a strong sense of architectural patterns (and anti-patterns) and an intuition of what it takes to get complex projects shipped. You are a coach. You derive deep satisfaction in helping engineers develop new skills and advance in their careers. You lead by example. You get on the front lines to understand your team's strengths and weaknesses and are able to set the right context and scope for excellent teamwork. You have an eye for talent. You have successfully recruited and developed great people on your teams. You hustle. You dont need to wait for people to tell you what to work on. You are empathetic. You seek to understand each individual's diversity of background and experience to build great teams. Quality Control: Help define and manage overall quality objectives for release increments. Collaborate on the definition and design of detailed acceptance test scenarios. Ensure teams deliver high-quality test-driven solutions that pass automated tests. Achieve and maintain team defined quality thresholds that mitigate solution risks.

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