Sr Analyst, Supply Chain Risk & Network Visibility

Primary Function of Position
The Sr. Analyst, Supply Chain Risk & Network Visibility is responsible for building and advancing
visibility into supplier-held inventory and upstream supply chain networks to support supply chain
risk management, inventory optimization, and operational decision-making. This role will establish
structured data, analytics, and governance frameworks to ensure accurate and actionable
insights into supplier inventory positions and commitments. The analyst will also support the
development of supplier and sub-tier mapping capabilities to enhance supply chain transparency
and compliance. In addition, this role will provide advanced analytics and modeling to support
broader supply chain initiatives, including risk mitigation, inventory strategy, and master data
governance. 

Essential Job Duties 
• Develop and maintain a centralized dataset capturing supplier-held inventory (finished
goods and raw materials), including contractual requirements and inventory commitments

Assess and rationalize current supplier inventory data
sources (e.g., APIs, iValua feeds, manual reporting),
identifying gaps, inconsistencies, and opportunities for
standardization
• Design and implement standardized frameworks and best
practices for supplier inventory reporting, visibility, and governance
• Build analytics, dashboards, and reporting to monitor supplier inventory attainment,
coverage, and alignment to contractual expectations and planning assumptions
• Partner cross-functionally with Supply Chain, Planning, Sourcing, IT, and Data teams to
improve data quality, integration, and governance related to supplier inventory and
master data
• Support the development and maintenance of supplier and part-site mapping (Tier-1),
including key attributes such as COO, AML, and manufacturing locations
• Support the implementation and scaling of a sub-tier supply chain mapping capability,
including evaluation of tools, development of data intake processes, and establishment of
governance for ongoing maintenance
• Perform advanced analytics and modeling to support supply chain risk management,
inventory strategy, and operational decision-making

 

Required Skills and Experience
• 4–7+ years of experience in supply chain, operations, analytics, or a related field, with
exposure to areas such as inventory management, supplier management, or supply
chain risk
• Strong analytical and problem-solving skills, with the ability to work with large, complex
datasets and translate data into actionable insights
• Experience with data analysis and visualization tools (e.g., Excel, SQL, Tableau, Power
BI) to support reporting, modeling, and decision-making
• Familiarity with supply chain systems and data structures (e.g., ERP systems such as
SAP, supplier management platforms like iValua, or similar tools)
• Ability to assess data quality, identify gaps, and drive improvements in data governance,
standardization, and process design
• Strong cross-functional collaboration skills, with the ability to partner effectively with
stakeholders across Supply Chain, Planning, Sourcing, IT, and Finance
• Excellent communication skills, with the ability to clearly present analytical findings and
recommendations to both technical and non-technical audiences
Required Education and Training

Bachelor’s degree in Supply Chain Management,
Operations, Business Administration, Engineering,
Finance, Analytics, Economics, or a related quantitative
or technical field

Preferred Skills and Experience
• Experience with supplier network visibility, supply chain mapping, or multi-tier supply
chain analysis, including tools or platforms such as Everstream Analytics, Altana,
Prewave or similar
• Prior experience working with or integrating supplier data sources (e.g., APIs, EDI,
supplier portals) to enable real-time or near real-time visibility
• Background in inventory strategy, planning, or materials management, including concepts
such as safety stock, coverage, and lead time variability
• Experience supporting or building data models and governance frameworks for supply
chain or master data (e.g., part-site, COO, AML structures)
• Familiarity with supply chain risk management (SCRM) concepts, including supplier risk,
disruption monitoring, and scenario analysis
• Experience with advanced analytics or modeling techniques (e.g., Python, R, or statistical
modeling) to support decision-making
• Exposure to cross-functional or enterprise systems transformations (e.g., ERP
implementations, supplier platform migrations, or data architecture initiatives

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees
who are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s
start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. 

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate’s qualifications, consistent with applicable law.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.