Dir. Data Engineering

WELLBE INTRODUCTION

The WellBe care model is a Physician Led Advanced Practice clinician driven geriatric care (care of older adults) team focused on the care of the frail, poly-chronic, elderly Medicare Advantage patients.  This population is typically underserved and very challenged with access to care.   To address these problems, we have elected to bring the care to the patient, instead of trying to bring the patient to the care. Care is provided throughout the entire continuum of care – from chronic care and urgent care in the home to hospital, to the skilled nursing facility, to assisted living, to palliative care, to end-of-life care.  WellBe's physician/advanced practicing clinician-led geriatric care teams’ partner with the patient’s primary care physician to provide concierge-level geriatric medical care and social support in the home as well as deliver and coordinating across the entire care continuum.

GENERAL SUMMARY

As the Director of Data Engineering at Wellbe you will play a pivotal role in collecting, processing, and analyzing large datasets to derive meaningful business insights. You will collaborate with cross-functional teams, including data scientists and business analysts, to develop data pipelines, create interactive dashboards, and implement analytical solutions. This position requires a blend of technical expertise, creativity, and a keen understanding of business processes. You will supervise a team of Data Engineers, Data Integration Specialists and Data Analysts to build scalable, robust analytics systems to solve complex healthcare challenges.

SKILLS & COMPETENCIES

• Lead, mentor, and inspire a high-performing team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Coach and mentor, the Analytics Engineering team: guiding, planning, and reviewing the team’s work.
• Collaborate with senior management to define and execute the company's data pipeline strategy, aligning it with business objectives and ensuring data governance principles are followed.
• Work closely with business stakeholders to understand data requirements and translate them into actionable plans for the Data Engineering team.
• Manage team to design, develop, and maintain robust ELT (Extract, Load, Transform) pipelines to collect, clean, and transform data from diverse sources into usable formats for analysis.
• Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex data into actionable insights and visualizations.
• Develop and implement data models to support analytical solutions, ensuring scalability, efficiency, and accuracy.
• Collaborate with cross-functional teams, including data science, analytics, and IT, to align Data Engineering initiatives with business goals.
• Stay updated with the latest technologies and trends in data analytics and engineering. Apply new tools and techniques to enhance the efficiency and effectiveness of data analysis processes.

QUALIFICATIONS

Educational/Experience  Requirements:

• Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a related field. Master's degree preferred.
• 15+ years of experience in data and analytic engineering, with a track record of progressively increasing responsibilities.
• 5+ years of experience in health care and health plan data analysis experience preferred.
• Proficiency in using data processing frameworks (e.g., snowpipe, fivetran) and databases (e.g. Snowflake, MSSQL)
• Knowledge of machine learning concepts and algorithms is a plus.
• Snowflake and DBT experience preferred.
• Strong leadership and team management skills, with the ability to motivate and develop team members. 3+ years of people management experience preferred.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments.

Required Skills and Abilities:

• Evaluate and implement data integration technologies and tools to ensure seamless data flow and interoperability.
• Implement processes to monitor and improve data quality through regular data cleansing, validation, and enrichment activities.
• Work closely with analytics teams to define data requirements and create a data quality framework that supports advanced analytics, reporting, and visualization.
• Foster a data-driven culture by promoting the use of data insights to drive business decisions and innovation.
• Lead and mentor a team of data professionals, providing guidance, performance evaluations, and professional development opportunities.
• Foster a collaborative and inclusive work environment that encourages knowledge-sharing and innovation.
• Advanced knowledge of Enterprise Reporting and Analysis tools, SQL, and visual analytic applications.
• Implement best practices for data governance and ensure data security and compliance.
• Fluency in SQL, DBT and Snowflake. Some development experience in at least one scripting language (Python, R, etc.) is a plus.
• Strong sense of ownership, bias for action, and drive.
• Strong verbal and written communication.
• Excellent analytical and problem-solving skills.
• Strong work ethic and attention to detail.

Supervisory Responsibility: This position will have supervisory responsibilities.

Travel requirements: Travel may be required up to 15% locally or nationally.

Work Conditions:

• Ability to lift up to 20lbs. 
• Ability to stand for extended periods.
• Ability to drive to patient locations (ie. home, hospital, SNF, etc)
• Fine motor skills.
• Visual acuity.

The preceding functions may not be comprehensive in scope regarding work performed by an employee assigned to this position classification.  Management reserves the right to add, modify, change or rescind the work assignments of this position.  Management also reserves the right to make reasonable accommodations so that a qualified employee(s) can perform the essential functions of this role.