Senior Global Business Process Owner, Demand & Capacity Management Systems

Job Summary:
As a Senior Global Business Process Owner with over 15 years of experience, you will take ownership of the global processes related to planning and delivery processes across Demand and Capacity domains in the operations organization. You will leverage your deep subject matter expertise in cloud demand and capacity management to optimize resource utilization, ensure scalability, and maintain performance at a global scale. Working closely with cross-functional teams, you will drive the design and implementation of 3p/1p systems and solutions that ensure our processes are efficient, effective, and aligned with business objectives.

Key Responsibilities:

1. Business Process Leadership:
• Lead and drive global demand and capacity planning and management processes across the supply chain organization. 
• Define, document, and continuously improve capacity management strategies to ensure the right amount of resources are available to meet current and future business demands.
• Collaborate with senior leadership and key stakeholders to align capacity strategies with business and technical goals.
2. Subject Matter Expertise:
• Serve as the subject matter expert (SME) on capacity planning, demand planning, and management systems, with a specific focus on cloud hyperscaler environments.
• Provide expert guidance on cloud resource allocation, scaling strategies, and cost management to ensure optimal capacity utilization while minimizing wastage and risk.
• Stay up-to-date on emerging technologies, tools, and best practices in cloud resource management, capacity forecasting, and automation.
3. End-to-End Process Transformation
• Lead the transformation of the entire demand and capacity planning, delivery, and management process, ensuring that it is optimized for speed, efficiency, and scalability, aligned with the needs of capacity deployment. 
• Design and implement global supply chain processes across multiple regions, ensuring consistency and scalability across the enterprise.
• Re-engineer demand / capacity planning and delivery workflows to integrate emerging technologies and best practices that support AI-hyperscaler specific needs, such as automated sourcing, contract management, and data-driven decision-making.
• Analyze existing supply chain processes, identify bottlenecks or inefficiencies, and lead improvement initiatives utilizing process reengineering or automation.
• Work with IT teams to implement and integrate supply chain management solutions, ensuring smooth functionality and user adoption.
• Identify and implement process improvements, focusing on reducing cycle times and increasing the agility to support rapid changes in technology requirements.
4. Stakeholder Engagement:
• Partner with business units, IT, and other stakeholders to ensure alignment between business requirements and capacity planning processes.
• Conduct training, workshops, and knowledge-sharing sessions to increase understanding and adoption of capacity management processes and tools.
• Act as the primary point of contact for cross-functional teams seeking advice on capacity-related processes, tools, and best practices.
5. Forecasting and Demand/Capacity Planning:
• Develop systems that utilize advanced forecasting methods to predict capacity needs based on business growth, seasonal trends, and historical data.
• Implement capacity models that consider both long-term growth and short-term fluctuations, ensuring flexible resource allocation.
6. Cost Management and Optimization:
• Work with finance and procurement teams to optimize cloud capacity utilization, balancing cost and performance.
• Implement cost-effective strategies for capacity planning and resource scaling in cloud environments, ensuring maximum ROI.
• Continuously review resource usage to identify and eliminate inefficiencies, applying cost-saving measures without compromising performance.
7. Global Collaboration:
• Coordinate with global teams to standardize capacity planning processes and tools while accommodating regional and business-specific needs.
• Lead cross-functional, cross-regional teams in the implementation of capacity management projects, ensuring timely delivery and adherence to global standards.
8. Risk and Compliance Management:
• Monitor and mitigate risks related to capacity management, ensuring that infrastructure resources are always aligned with business demand and performance expectations.
• Ensure that capacity management practices comply with industry regulations, company policies, and internal controls.

Minimum Qualifications:

• Experience:
  
• 15+ years of experience in capacity planning and resource management, with a strong focus on cloud environments (e.g., AWS, Google Cloud, Microsoft Azure, etc.).
• Proven track record of leading capacity management initiatives and implementing capacity planning systems at a global scale.
• Expertise in cloud resource management, infrastructure planning, and cost optimization in a hyperscaler environment.
• Technical Skills:
• Deep understanding of cloud infrastructure, capacity forecasting, and resource management tools.
• Experience with capacity planning and management platforms and tools.
• Strong knowledge of performance monitoring, utilization analysis, and scalability in cloud environments.
• Education:
• Bachelor’s degree in Computer Science, Engineering, Business Administration, or related field. A Master’s degree or MBA is a plus.
• Certifications:
• ITIL or other relevant capacity management certifications are advantageous.

Key Competencies:

• Leadership: Ability to lead and influence cross-functional teams, both globally and locally, to achieve alignment on capacity planning initiatives.
• Analytical Thinking: Strong analytical skills with the ability to forecast capacity requirements and manage complex cloud environments.
• Communication: Excellent verbal and written communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders.
• Collaboration: Strong interpersonal and collaboration skills to work effectively across diverse, geographically dispersed teams.

Preferred Experience:

• Experience in managing cloud infrastructure at scale, including the optimization of capacity across multiple global data centers.
• Knowledge of automated capacity scaling technologies, machine learning, and predictive analytics for capacity management.
• Experience with financial modeling and cost optimization in cloud environments.

Why Join Us?

• Join a rapidly expanding cloud organization that is a leader in the industry.
• Work alongside experts in cloud technology and capacity management, contributing to the evolution of our global infrastructure.
• Competitive salary, benefits, and professional development opportunities.
• Be part of a dynamic, innovative company that values diversity and inclusion.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,000-$159,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.