Data & AI Operations Manager

About the Team Zillow’s Legal & Compliance (L&C) Operations team empowers the department with innovative tools and resources, driving efficiency and effectiveness across Legal & Compliance. The team values new ideas and creative approaches, working collaboratively to deliver solutions that support Zillow’s mission.

As a Data & AI Operations Manager, you will own and drive how Legal & Compliance leverages data and automation. Your work will directly impact the speed, quality, and reliability of our processes, enabling teams to make better decisions and focus on high‑value work.

• Lead stakeholders through process mapping and operational improvement, prioritizing opportunities for automation and analytics based on impact, risk, and feasibility.
• Design, build, and iterate low‑code and AI‑enabled workflows using platforms such as n8n, Zapier, and OpenAI Agent Builder.
• Translate business needs into reliable, production‑grade automations, including exception handling and human‑in‑the‑loop checkpoints.
• Develop and maintain evaluation sets, define quality thresholds, and run A/B tests to measure AI workflow performance.
• Integrate automation into dashboards and reporting, ensuring trusted, timely, and well‑governed data is available to the right teams.
• 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.
• Continuously assess new and existing applications and SaaS platforms to identify embedded or emerging AI capabilities.
• Lead pilots and proofs of value for new workflows or AI capabilities, defining success criteria upfront and incorporating stakeholder feedback into go‑forward decisions.
• Provide training and enablement to Legal & Compliance teams, driving adoption and ongoing improvement.
• Partner with the Compliance Training team to create and incorporate AI use‑case specific policies and procedures into required learning programs.

This role has been categorized as a Remote position. Remote employees do not have a permanent corporate office workplace and instead work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

Base pay ranges vary by state:

• California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC: $ – $ annually.
• Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont: $ – $ annually.

• 7+ years of experience in data operations, analytics, legal operations, or a related field, with hands‑on experience designing, owning, and scaling automated workflows.
• 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.
• 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., Git Lab) for managing low‑code assets and approvals.
• Ability to communicate complex technical concepts clearly to legal and business stakeholders.
• 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…