Compliance Data & Analytics Manager

“Members of the Legal organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.” The Regulatory Affairs & Compliance team within Cisco’s Legal department is comprised of lawyers, program managers, operational specialists, engineers, and subject matter experts focused on topics including compliance and ethics (anti-bribery and anti-corruption), global trade, cybersecurity, telecom, environmental sustainability, and various other regulatory practice areas and programs.

We partner with colleagues in Legal and functional teams across the company to drive compliance and impact. Cisco Legal is looking for an agile, experienced Compliance Data & Analytics Manager to join the Compliance Data & Analytics group. You are a versatile problem-solver who thrives in ambiguity. You don't wait for polished requirements; you build working prototypes, iterate based on user feedback, and know how to influence cross-functionally to achieve a common goal.

In this role, you will be a catalyst for rapid innovation, bridging between legal compliance subject matter experts and modern data experimenting with AI. You will stand up lightweight automation, and navigate corporate data silos to turn complex regulatory obligations into actionable, real-time risk intelligence. Your Impact 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.

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.

4-7+ years of relevant experience in similar roles responsible for data analytics, data science, or analytics product development, with a proven track record of rapid prototyping and applying data analytics and AI to Legal, Compliance, Ethics, Anti-Corruption, Internal Audit, or Fraud/Risk Management domains. Proficiency in Python and advanced SQL and experience with modern data science libraries. Experience using AI to build practical applications.

Demonstrated ability to build strong cross-functional relationships, break through data silos, and deliver results collaboratively through influence without direct authority. Bachelor’s degree in Computer Science, Data Analytics, Engineering or related field.

Experience applying building and deploying interactive data apps. Familiarity with enterprise data platforms (e.g., Snowflake)…