Description
Cisco is seeking a Senior Manager to build and lead an enterprise Infrastructure Efficiency and Capacity Management practice across compute, accelerated compute (GPU/TPU), storage, and Cloud/PaaS/Kubernetes platforms.
You will establish and direct an engineering and analytics organization responsible for multi-million dollar infrastructure planning, workload placement, and lifecycle economics.
Key responsibilities:
- Build and lead a high-caliber team of engineers and analysts specializing in capacity economics, infrastructure data analytics, compute, and platform efficiency.
- Establish a repeatable operating model for demand forecasting, unit economics, supply allocation, opportunity tracking, and closed-loop outcome verification across Jira and ServiceNow.
- Direct independent, evidence-based evaluations of material infrastructure purchases, cloud expansions, and hardware refreshes using defined demand signals, utilization metrics, and TCO models.
- Govern cross-domain efficiency strategies including workload placement, right-sizing, hardware reuse, lifecycle refresh timing, and cloud financial commitments.
- Partner with Corporate Finance to enforce rigorous evidence standards, verifying bottom-line realized savings, cost avoidance, and capacity reclamation without double counting.
- Communicate strategic recommendations, technical trade-offs, and investment risks clearly to executive leadership and cross-functional engineering teams.
Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, Information Systems, Business Administration, or a related technical field, plus 12+ years of professional experience in infrastructure engineering, cloud/platform systems, technical operations, or enterprise capacity planning.
- 5+ years of direct experience building, managing, and leading high-performing teams of senior technical specialists.
- Demonstrated experience directing infrastructure capacity planning, hardware/cloud resource lifecycles, workload utilization modeling, and service continuity across large-scale, multi-service technical environments.
- Hands-on experience developing, governing, or implementing quantitative capacity models, demand forecasts, scenario analyses, unit economics, or multi-million dollar Total Cost of Ownership (TCO) / Capital Expenditure (CapEx/OpEx) business cases.
- Proven experience evaluating technical system architectures and governing technical investment decisions in partnership with cross-functional leadership across engineering, finance, procurement, and operations.
Preferred qualifications:
- Experience with infrastructure supply-and-demand planning, refresh justification, capacity forecasting, or FinOps.
- Experience modeling cloud commitments such as Savings Plans or Reserved Instances.
- Familiarity with compute virtualization, Kubernetes, accelerated compute, GPU/TPU environments, storage, databases, or platform services.
- Experience using operational and financial data from systems such as observability platforms, virtualization platforms, Kubernetes environments, cloud billing systems, Jira, or ServiceNow.
- Experience establishing governance, policy-as-code, decision records, scorecards, or closed-loop operating rhythms.
- Experience validating savings, cost avoidance, utilization improvements, or capacity outcomes with Finance.
The starting salary range for this position is $160,000.00 to $203,600.00.