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Director, Data Engineering and Architecture

Department: IT
Location: New York, NY
Company: HRA

The Director, Data Engineering and Architecture will partner with the VP Data Strategy and the IT organization to enable deployment of Data Science assets (data, model, business rules) into business workflows. The Director, Data Engineering and Architecture is responsible for creating playbooks and modular code to enable adoption of best practices within the Data Science organization. This role is responsible for contributing to the development of the data architecture, assisting in the selection of tools and mastering the use of selected tools to advance the objectives of the company. This role will be responsible for deploying the architecture on the Microsoft Azure cloud platform. The Director DE&A consults on use cases to provide a high level view of cost, time and effort associated with project objectives and delivery goals. This role is responsible for guiding the Data Science practice to allow for faster, cheaper, consistent, and reliable deployments while enabling transparency and reproducibility of modeling assets.

In this dual responsibility role, DDE&A will also serve as the Machine Learning Engineer responsible for hands-on deployments of data science artifacts into business workflows and will work closely with the Data Scientists to understand the inputs and outputs of the models. The engineer will also establish the testing criteria for validating the model deployments in collaboration with the Data Scientist and VP Data Strategy.  The engineer must have an understanding of model deployment pipelines incorporating data from internal systems and third party sources. Expertise in Linux, SQL, Hadoop, and Spark is essential for this role. The engineer should be able to write Python code using object oriented software engineering principles and delivering modularized, reusable code.

Further, this role will have a responsibility for adopting, and contributing to, the data governance model established by the parent company (TDC).  In this role he or she will collaborate with colleagues throughout the organization to adopt and adhere to the standards developed by the organization.

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ESSENTIAL RESPONSIBILITIES:

  • Understand sources of data within The Doctors Company and specifically HRA, and work with SME’s to describe and understand data lineage and suitability for a use case.
  • Create summary statistics/reports from data warehouses, marts, and operational data stores to establish testing criteria and create model training and validation data sets.
  • Produce code artifacts and documentation for reproducibility and hand-off to the data science team. .
  • Contribute to the design, implementation, and evaluation of ML models in production in agile framework. Execute testing (integration, performance, regression).
  • Prototype new approaches and productionize model code to be deployed to business applications
  • Adhere to requirements for scale, performance, and availability
  • Support implementation and testing of assets into production work and manage and estimate work to deliver the requirements for each project.
  • Describe technical work to non-technical audiences.
  • Establish best practices for code management, issue management, data and storage management.
  • Perform code review and mentor engineers on team, set timelines and delivery scope and develop success criteria for project increment delivery.
  • Interact with systems engineers, data architect, product owners, and asset owners to propose a technical solution and provide work estimates to deliver the software. Call out risks and issues and establish escalation criteria for product based on final solution.
  • Provide L3 support for production assets in conjunction with IT production support teams, Data Scientists, and the model Product Owner.
  • Basic knowledge of modeling tools and data science platforms is preferred.
  • Ability to provide input as consultant on projects as a technical expert.
  • Ability to identify and investigate potential data errors during model development or deployment phases.
  • Ability to respond to change, interested in continuous learning, adopting new technologies to enable data science asset deployment into production.
  • Understand tiered application architectures, understand and implement API based predictive and scoring services
  • Establish production support documentation and process with Information Technology staff and third-party providers.
  • Configure deployments in containerized environments.

EXPERIENCE AND SKILLS

  • 2+ years of experience in implementing machine learning algorithms (regression, dimensionality reduction, recommendation systems, outlier detection, and predictive models)
  • Experience in leading projects from incubation to production deployments
  • 5+ years’ experience in object-oriented programming and design patterns.
  • BA, BS, MS, PHD in Computer Science and Engineering
  • Experience deploying on the Microsoft Azure platform, certification is preferred but not required.
  • Candidates must have the technical skills to transform, manipulate and store data, the analytical skills to relate the data to the business processes that generates it and the communication skills to disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience.
  • 3+ years of writing object-oriented code in in Python
  • Determine business solutions and translate into actionable steps for other staff on the team.
  • Demonstrate a passion for learning new skills and creating best practices and standards within the organization.
  • Results oriented with the ability to multi-task and adjust priorities when necessary

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The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified.  Furthermore, they do not establish a contract for employment and are subject to change at the sole discretion of HRA.  All employment with HRA is of an at-will nature.  HRA is an equal opportunity employer and complies with applicable worker and workplace employment laws and regulations.

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