Senior Supply Chain Manager

Responsibilities

• Capacity Planning & Supply Chain Analytics
• Develop and maintain capacity planning models across suppliers, manufacturing, logistics, and infrastructure constraints
• Perform scenario planning and what if analysis to support investment decisions, demand volatility, and risk mitigation
• Analyze supply demand imbalances, lead times, throughput, and bottlenecks to inform short- and long-term plans
• Support executive level reporting with clear KPIs, trends, and recommendations
• Data & Analytics Engineering
• Design, write, and optimize SQL queries to extract, transform, and analyze large, complex datasets
• Build Python based analytical models (forecasting, optimization, simulations) using libraries such as GCP, Copilot studio
• Create repeatable, scalable data pipelines and analytics workflows
• Partner with BI teams to feed dashboards and decision tools (e.g., Power BI, Tableau, Agentic AI)
• AI Agents & Automation
• Design and implement AI agents to automate recurring analytics tasks (e.g., demand analysis, exception detection, scenario generation)
• Apply machine learning or rule based agents to improve forecasting accuracy, capacity utilization, and planning cycle time
• Integrate AI-driven insights into planning processes and operational workflows
• Continuously identify opportunities where AI and automation can replace manual analysis or judgment calls
• Cross Functional Collaboration
• Work closely with supply chain leaders, planners, and category managers to translate business questions into analytical solutions
• Communicate complex findings clearly to both technical and nontechnical stakeholders
• Influence planning and investment decisions through data driven storytelling
• Required Qualifications
• Bachelor's degree in supply chain, Engineering, Operations Research, Data Science, Economics, or related field
• 5+ years of experience in supply chain analytics, capacity planning, or network planning
• Expertise in transforming unstructured data into standardized, scalable data structures for analysis and reporting
• Strong, hands-on experience with SQL (advanced queries, joins, performance tuning)
• Strong Python skills for data analysis and modeling or strong Power BI skills (datasets management, reporting creation and deployment mechanisms)
• Proven experience building analytical models for capacity, demand, inventory, or lead-time planning
• Ability to translate ambiguous problems into structured analytical approaches

Requirements

• Experience deploying or prototyping AI agents, ML models, or automation workflows
• Familiarity with optimization, forecasting, or simulation techniques
• Experience working with large, global supply chains or capital-intensive environments
• Exposure to cloud data platforms or modern data stacks
• The targeted pay range for this position in the following location is / locations are:
• United States - DA1 Dallas : 136,000 - 204,000 USD / Annual
• Canada - Toronto Office TRO : 131,000 - 181,000 CAD / Annual
• The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
• Equinix Benefits
• As an employee, you become important to Equinix's success. We ensure all your benefits are in l

Additional Information

Who are we? Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You'll work across teams, influence key decisions, and help shape the path forward. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Job Summary We are seeking a highly analytical supply chain professional with deep capacity planning experience and a strong foundation in data analytics, SQL, and Python, who is excited to apply AI agents and automation to complex supply chain problems. This role will support strategic decision-making across demand forecasting, capacity planning, inventory optimization, and scenario modeling, while actively building and deploying AI-driven analytics solutions. This individual will work cross functionally with supply chain, procurement, operations, finance, and technology teams to transform data into insight-and insight into action-at scale.

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