Director of AI-Enabled Compliance Analytics

Cisco

Austin (TX)

Hybrid

USD 221,000 - 292,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid parental leave
Stock units / RSUs

Job summary

Cisco's Regulatory Affairs & Compliance team is seeking a Director to lead strategy and execution for a global compliance data analytics program. You will manage the Compliance Analytics & Enablement team and drive AI-native solutions that transform data into actionable risk insights.

Ideal candidates bring 10+ years in legal/compliance roles, experience with Snowflake and BI tools, and a strong track record in data-driven regulatory programs at scale.

Qualifications

  • Bachelor’s degree or equivalent experience in data science, statistics, computer science, or related field.
  • 10+ years of experience in similar roles within Legal/Compliance/Audit at large tech company.
  • Experience with cloud data warehouses (Snowflake) and BI tools (Tableau, Power BI).
  • Experience prototyping solutions with AI-coding capabilities.
  • Understanding of regulatory benchmarks for compliance.

Responsibilities

  • Lead strategy and execution for Cisco's global compliance data analytics program.
  • Oversee development of automated monitoring systems for enterprise risk compliance.
  • Design and test an AI-native compliance program with data integration.
  • Develop multi-year roadmaps for compliance data analytics and AI/ML insights.
  • Provide leadership to the Compliance Analytics & Enablement team and report to senior leadership.

Job description

Cisco's Regulatory Affairs & Compliance team is seeking a Director to lead strategy and execution for a global compliance data analytics program. You will manage the Compliance Analytics & Enablement team and drive AI-native solutions that transform data into actionable risk insights.

Ideal candidates bring 10+ years in legal/compliance roles, experience with Snowflake and BI tools, and a strong track record in data-driven regulatory programs at scale.

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