AI-Driven Compliance Data & Analytics Lead

Cisco; Austin (TX); Hybrid; USD 115,000 - 145,000; Full time

Job summary

Cisco Legal is seeking an agile Compliance Data & Analytics Manager to join the Regulatory Affairs & Compliance group. You will bridge legal experts and data scientists, turn regulatory obligations into actionable, real-time risk insights, and stand up lightweight automation while navigating data silos.

You will prototype rapidly, develop Python/SQL analytics workflows, and collaborate with stakeholders across Legal, Finance, and BI teams to improve risk models with external market signals.

Qualifications

• 4-7+ years in data analytics, data science, or analytics product development.
• Proficiency in Python and advanced SQL; experience with modern data science libraries.
• Experience using AI to build practical applications.

Responsibilities

• Design, experiment with, and deploy rapid AI and automation prototypes.
• Partner across Legal, Finance, and other key stakeholders to identify, extract, and integrate disparate data sources into unified analytics workflows.
• Develop agile data scripts, lightweight web applications, and automated alert workflows in Python/SQL that solve compliance friction points.
• Collaborate directly with Regulatory & Compliance leadership to distill complex regulatory risks into structured analytical problem statements and working prototypes.
• Partner with data science and business intelligence developers to improve upon existing risk models by integrating external market intelligence and automated event-driven/ conditional logic.

Skills

Python

SQL

AI

Cross-functional influence

Education

Bachelor’s degree in Computer Science, Data Analytics, Engineering or related field

Tools

Snowflake

Job description

Cisco Legal is seeking an agile Compliance Data & Analytics Manager to join the Regulatory Affairs & Compliance group. You will bridge legal experts and data scientists, turn regulatory obligations into actionable, real-time risk insights, and stand up lightweight automation while navigating data silos.

You will prototype rapidly, develop Python/SQL analytics workflows, and collaborate with stakeholders across Legal, Finance, and BI teams to improve risk models with external market signals.