Intuit
Senior Staff Business Systems Analyst – Legal Technology
$172K–$254K
Mountain View, California +1 · Senior Staff · Full-time · Posted Sep 23, 2026
- Location
- Mountain View, California
San Diego, California - Experience
- 10+ years; must include meaningful time supporting a legal, compliance, finance, or other regulated business function.
- Education
- BS in Computer Science, Information Systems, Business, or equivalent work experience is preferred.
About the job
Own the Legal Technology portfolio and multi-year roadmap, guiding platform transformation, integrations, vendor decisions, AI pilots, and delivery and adoption across Legal and technology teams.
What you'll do
- Define and manage the Legal Technology roadmap, portfolio reviews, investment priorities, dependencies, and escalations.
- Partner with legal practice groups to gather requirements and lead workflow, platform, vendor, and integration design and delivery.
- Prototype and evaluate AI-enabled legal workflows, establish human oversight and controls, and measure adoption and operational outcomes.
What they ask for
- 10+ years delivering enterprise software products or business systems solutions as a business systems analyst, technical product manager, or solution owner, including meaningful time supporting a legal, compliance, finance, or other regulated function.
- Experience building and executing a multi-year roadmap and making and defending prioritization trade-offs.
- Business analysis skills including requirements elicitation, process mapping, user stories, data mapping, test strategy, and UAT.
- Hands-on configuration experience with ServiceNow, Tonkean, Workato, or similar; legal workflow and integration expertise.
Nice to have
- BS in Computer Science, Information Systems, Business, or equivalent work experience.
- Background in Legal Operations.
Pay
Mountain View: USD 187,500 - 253,500 base salary; San Diego, CA: USD 172,500- 233,000 base salary
Tools
ServiceNow, Tonkean, Workato, Ironclad, Legal Tracker, Exterro, AWS, GCP
AI focus
Build prototypes and run pilots for Generative AI, knowledge management, and agentic workflows; evaluate AI in vendor platforms and define human-in-the-loop oversight, evaluation, and audit controls.
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