Business Systems Analysis Manager

Cisco is a technology company connecting and protecting data and infrastructure in the AI era. The Business Systems Analysis Manager will mature value measurement capabilities, use AI-driven analytics to improve operational velocity, and lead cross-functional efforts to strengthen portfolio management, capability prioritization, and data-informed decision-making across Operations.

Responsibilities:

• Mature Cisco’s value measurement capabilities and establish consistent expectations, practices, and reporting for value delivery across Operations
• Supercharge delivery speed by using AI for root cause analysis and SDLC standards across development tools
• Enable tighter Business Entity alignment and prioritization of capabilities to advise on various Ways of Working Process and improve delivery focus
• Mentor and partner with teams across Operations to build, lead, and scale robust capabilities with stronger alignment, self-sufficiency, and adoption of standard methodologies
• Analyze end-to-end cycle-time performance, identify hidden sources of latency and bottlenecks, and provide recommendations to improve operational velocity
• Develop and scale AI-augmented analytical capabilities—including value retrospectives, predictive progress insights, and portfolio-level data-quality resolution—to enable performance management and future-focused decisions

Requirements:

• 10+ years of progressive experience in Business Systems Analysis, Business Process or Operations Management, Data Science, or related fields at enterprise scale, with increasing technical responsibility
• Effective collaborator across matrixed teams—including Operations, IT, Strategy, and Product—to translate complex technical data into clear, actionable business recommendations in fast-paced environments
• Proven expertise in leveraging AI-driven analytics and advanced AI development best practices to accelerate operational velocity through root cause analysis, predictive insights, and data-quality resolution
• Strong proficiency in analyzing development metrics from tools like GitHub and SonarQube, applying predictive analytics and automation to optimize SDLC processes
• Demonstrated ability to identify and resolve bottlenecks and dependencies in complex operational workflows using data-driven solutions that enhance execution speed and efficiency
• Skilled in validating AI-generated outputs, ensuring data integrity, and implementing optimization strategies to improve accuracy and reliability of AI-augmented decision tools
• Leadership experience in maturing enterprise value measurement, capability management, business execution, or portfolio governance practices
• Experience leading strategic operations, business execution, value management, portfolio management, or enterprise transformation initiatives
• Shown ability to define, measure, and communicate business value, outcomes, and performance metrics for sophisticated enterprise capabilities, programs, or portfolios
• Experience supporting capability prioritization, value management reporting, or large-scale agile planning and execution processes
• Track record of driving measurable improvements in operational efficiency, value realization, cycle time, or delivery predictability
• Experience developing scalable frameworks, standard processes, and enablement approaches that build organizational self-sufficiency