Senior Data & AI Operations Specialist

Zillow

1d•$94,000 - $158,100•Remote

About The Position

As a Senior Data & AI Operations Specialist, you will play a key role in transforming 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 design and implement scalable, AI-enabled solutions.

Requirements

5+ years of experience in data operations, analytics, legal operations, or a related field, with hands-on experience designing or operating automated workflows.
Proficient with low-code automation tools (e.g., Zapier, n8n) and integrating APIs and webhooks.
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; 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.
Proven ability to plan and execute initiatives independently in a fast-paced environment.
Excellent collaboration and communication skills, with a solution-oriented mindset.

Responsibilities

Collaborate with stakeholders to map and improve operational processes, identifying opportunities for automation and analytics.
Design, build, and iterate on 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 clean, 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.
Proactively review 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, incorporating stakeholder feedback and success criteria.
Provide training and enablement to Legal & Compliance teams, supporting 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.