Data & AI Operations Manager

Zillow

5d•$112,700 - $189,400•Remote

About The Position

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. You will collaborate with stakeholders across Legal & Compliance, Operations, Data Engineering, and AI Engineering to prioritize opportunities, define success metrics, and deliver production-grade capabilities with measurable impact.

Requirements

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., GitLab) 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 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.

Responsibilities

Lead stakeholders through process mapping and operational improvement, prioritizing opportunities for automation and analytics based on impact, risk, and feasibility
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.
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.