Unknown Company

Vice President, Data Engineering

northern, ky • Posted 4 days ago
Remote Full Time Business Engineering & Management

AssistRx, LLC has an opening for the position of VP, Data Engineering (Ref# VPDE77BSV).

Work Location:

Position may telecommute / work remotely from anywhere in the U.S.

Job Duties:

  • Lead the development and implementation of AI-driven solutions in the pharmaceutical industry to improve patient care through personalized omnichannel communications.
  • Drive the integration of Large Language Models (LLMs) into software development and oversee the creation of Retrieval-Augmented Generation (RAG) applications.
  • Collaborate closely with product, sales, and marketing teams to architect and guide engineering, API, ML, DevOps, and reporting teams in building a scalable and innovative product.
  • Promote best practices in Agile methodologies and CI/CD processes to ensure efficient, high-quality product delivery and continuous improvement.
  • Oversee and optimize a complex technology stack, including Snowflake, Terraform, dbt, Docker, Azure SQL, Synapse, Azure, Python, SQL, Spark, and Azure container apps.
  • Ensure data accuracy, scalability, and efficiency in data pipelines and AI models.
  • Lead research and implementation of emerging AI and ML technologies to drive business innovation and competitive advantage.
  • Develop and maintain strategic roadmaps for AI-driven data engineering initiatives aligned with business goals.
  • Provide technical leadership and mentorship to engineering teams, fostering innovation and collaboration.
  • Ensure compliance with industry regulations and best practices related to data security and privacy.

Qualifications:

  • Master’s degree or foreign academic equivalent in Computer Science, Information Technology, or a related field.
  • Plus 8 years of experience in the job offered or a related occupation including Data Consultant, Data Director, or related experience.
  • Position requires 6 years of experience with data engineering, ML (Machine Learning), Snowflake, Terraform, Docker, Python, SQL, and Azure.
  • 40hrs/week.

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