Manager Supply Chain Operations
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-13
Listing for:
Intuitive Surgical Inc
Full Time
position Listed on 2026-06-13
Job specializations:
-
IT/Tech
Business Systems/ Tech Analyst, Data Warehousing, Data Engineering, Data Analyst
Job Description & How to Apply Below
Manager, Supply Chain Operations Job Description
The Manager, Supply Chain Operations is responsible for establishing and leading the governance, quality, and scalability of critical supply chain master data across the organization. This role owns the design and execution of processes, controls, and systems that ensure data accuracy and consistency, enabling effective planning, procurement, and operational execution. The manager partners cross‑functionally to drive process improvements, lead large‑scale data initiatives, and implement analytical capabilities that translate data into actionable insights, supporting inventory optimization, supply continuity, and overall supply chain performance.
EssentialJob Duties
- Own governance of critical supply chain master data domains (material master, lead times, sourcing data etc.), including standards, policies, and controls to ensure data accuracy and consistency
- Assess, design, and continuously improve end‑to‑end processes that create, maintain, and govern master data across Planning, Procurement, and Sourcing
- Lead execution of large‑scale data remediation efforts, including recurring mass updates, structured cleanup initiatives, and data quality improvement programs
- Define and enforce standardized access controls and change management processes for master data within SAP, ensuring appropriate governance and auditability
- Serve as a key business partner in the design, implementation, and adoption of SAP Master Data Governance (MDG), aligning system capabilities with business requirements
- Develop and operationalize analytical reporting and “control tower” capabilities to proactively identify, prioritize, and resolve master data issues based on defined business rules
- Establish and track key performance indicators (KPIs) to measure master data health, process adherence, and downstream business impact (inventory, service levels, planning stability etc.)
- Partner cross‑functionally to prioritize data and process improvements based on supply risk, inventory impact, and operational criticality
- Lead change management efforts, including communication, training, and stakeholder alignment, to drive adoption of standardized processes and governance frameworks
- Drive a long‑term strategy and roadmap for supply chain master data, ensuring alignment with broader supply chain, systems, and digital transformation initiatives
- 7+ years of experience in supply chain, operations, or related fields, with direct ownership of master data, planning parameters, or core supply chain processes
- Strong expertise in SAP (preferably S/4
HANA), including hands‑on experience with material master data, and understanding of key planning drivers such as lead times, lot sizing, sourcing, and inventory policies - Proven experience designing and implementing data governance frameworks, including policies, controls, access management, and change management processes
- Demonstrated ability to analyse complex processes, identify root causes of data issues, and implement scalable solutions that improve data quality and operational performance
- Experience leading large‑scale data initiatives, including data cleanup, mass updates, and cross‑functional data standardization efforts
- Strong analytical capabilities, with proficiency in tools such as SQL, Excel, or similar, and ability to translate data into actionable, business‑relevant insights
- Track record of influencing cross‑functional stakeholders (Planning, Procurement, Sourcing, IT) and driving alignment in a matrixed environment
- Excellent communication skills, with the ability to clearly articulate complex data and process concepts to both technical and non‑technical audiences
- Experience with SAP Master Data Governance (MDG) or similar enterprise data governance platforms, including implementation or business adoption
- Advanced analytics experience, including building dashboards, data models, or reporting solutions (SQL, Python, Tableau, Power BI etc.) to monitor and improve data quality
- Experience designing and implementing “control tower” or data monitoring capabilities that drive proactive, prescriptive…
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