Data & AI Operations Manager

Zillow Zillow · Consumer · United States · Remote

This role focuses on leveraging data and automation, specifically AI-enabled workflows using tools like OpenAI Agent Builder and low-code platforms, to improve efficiency within Zillow's Legal & Compliance department. The manager will own the design, build, and iteration of these workflows, including evaluation, integration into reporting, and piloting new AI capabilities.

What you'd actually do

  1. Own the design, build, and iteration of low-code and AI-enabled workflows using tools such as n8n (a low-code automation platform), Zapier, and OpenAI Agent Builder.
  2. Translate business needs into reliable, production-grade automations, including exception handling and human-in-the-loop checkpoints.
  3. Develop and maintain evaluation sets, define quality thresholds, and run A/B tests to measure AI workflow performance.
  4. Integrate automation into dashboards and reporting, ensuring trusted, timely, and well-governed data is available to the right teams.
  5. Track and communicate the impact of automation and AI solutions on cycle time, accuracy, cost, efficiency, and risk turning results into insights and recommendations for senior stakeholders.

Skills

Required

  • Proficient with low-code automation tools (e.g., Zapier, n8n) and integrating APIs and webhooks, with demonstrated ability to build reliable, supportable solutions.
  • Experience working with AI platforms (e.g., ChatGPT Enterprise or similar large language models), including prompt design and evaluation.
  • Strong understanding of governance, privacy, and security principles, especially regarding PII and responsible AI use, and demonstrated judgment in balancing innovation with controls
  • Proven ability to plan and execute initiatives independently in a fast-paced environment, including end-to-end ownership from discovery through delivery and adoption.
  • Excellent collaboration and communication skills, with a solution-oriented mindset and the ability to influence outcomes across functions without direct authority.

Nice to have

  • Familiarity with relational and semi-structured data models and the ability to translate data into decisions and prioritization; experience writing SQL and with data platforms such as Databricks is a plus.
  • Experience with data integration tools (e.g., Airbyte), including handling schema changes and coordinating with data engineering.
  • Familiarity with Git-based version control (e.g., GitLab) for managing low-code assets and approvals.

What the JD emphasized

  • production-grade
  • production-grade
  • AI workflow performance
  • trusted, timely, and well-governed data
  • responsible AI use

Other signals

  • AI-enabled workflows
  • OpenAI Agent Builder
  • low-code automation
  • human-in-the-loop checkpoints
  • AI workflow performance