Bachelor's degree in Engineering, Computer Science, Supply Chain, Operations Research, or related field
8+ years of experience in Supply Chain Planning applications and enterprise systems
5+ years of hands-on experience with Kinaxis RapidResponse/Maestro, including authoring, automation chains, and performance tuning
Deep working knowledge of Supply Planning, Fulfillment, Inventory Planning, and S&OP/IBP processes
Experience modeling material and capacity constraints in advanced planning solutions
Hands-on experience with Oracle ERP and data transformation/integration tooling (Talend or similar)
Working knowledge of SQL, APIs, and ETL/data integration concepts
Strong analytical and problem-solving skills, with the ability to operate independently in a global, cross-functional environment
Curiosity and openness toward AI-assisted planning tools and workflows
Ownership mindset — takes initiative and drives work to completion without direction
Credibility with both business and technical stakeholders
Comfortable working hands-on in a complex, fast-moving global environment
Strong communication skills, including the ability to explain technical trade-offs to non-technical partners
Nice to have
Semiconductor or high-tech manufacturing industry experience
Familiarity with AI-powered or agentic planning tools and prompt-based interfaces
Experience with Databricks, BigQuery, or comparable cloud data platforms
Kinaxis certification (Author, Solution Consultant, or Administrator)
Experience working directly with Kinaxis product development on defect resolution
Full description
About Marvell
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
We are looking for an experienced Supply Chain Solution Architect / Principal SCM Analyst to own enterprise Supply Operations & Planning platforms, with primary focus on Kinaxis RapidResponse/Maestro. This role requires deep functional and technical knowledge of Supply Chain Planning processes, Kinaxis platform capabilities, and enterprise planning ecosystems including Oracle ERP and modern cloud data platforms. Experience with AI/agentic tooling for planning automation and insight generation is a plus. You will work closely with Supply Chain, Operations, and IT to lead planning solutions, integrations, and operational excellence across global supply operations.
What You Can Expect
Serve as functional SME and primary point of contact for Kinaxis RapidResponse/Maestro platform capabilities, configuration, data models, authoring, automation chains, and planning workflows
Lead solution design and optimization across Supply Planning, Inventory Planning, Capacity Planning, Allocation & Fulfillment, and S&OP/IBP
Bridge business and technology: translate operational requirements into system design and guide stakeholders through complex planning problems
Own integrations between Kinaxis and enterprise platforms including Oracle ERP and Lima (Marvell's internal planning data transformation environment)
Diagnose and resolve planning and system issues impacting global supply operations; engage Kinaxis product support on product defects
Drive adoption of AI-assisted planning tools - agentic assistants built on Kinaxis, Oracle, and Databricks data that help planners surface exceptions, validate data, and generate recommendations
Define, prototype, and validate AI/automation use cases that reduce manual planner effort (exception triage, master data validation, scenario summarization)
Establish best practices, documentation, and AI-tool usage guidelines for planning initiatives
Lead enhancement, deployment, and operational support across the planning system landscape
Drive automation, data integrity, governance, and process optimization initiatives
Partner with global teams and implementation partners on transformation programs, providing technical direction
What We're Looking ForRequired Qualifications
Bachelor's degree in Engineering, Computer Science, Supply Chain, Operations Research, or related field
8+ years of experience in Supply Chain Planning applications and enterprise systems
5+ years of hands-on experience with Kinaxis RapidResponse/Maestro, including authoring, automation chains, and performance tuning
Deep working knowledge of Supply Planning, Fulfillment, Inventory Planning, and S&OP/IBP processes
Experience modeling material and capacity constraints in advanced planning solutions
Hands-on experience with Oracle ERP and data transformation/integration tooling (Talend or similar)
Working knowledge of SQL, APIs, and ETL/data integration concepts
Strong analytical and problem-solving skills, with the ability to operate independently in a global, cross-functional environment
Preferred Qualifications
Semiconductor or high-tech manufacturing industry experience
Familiarity with AI-powered or agentic planning tools and prompt-based interfaces
Experience with Databricks, BigQuery, or comparable cloud data platforms
Kinaxis certification (Author, Solution Consultant, or Administrator)
Experience working directly with Kinaxis product development on defect resolution
What We're Looking For
Curiosity and openness toward AI-assisted planning tools and workflows
Ownership mindset — takes initiative and drives work to completion without direction
Credibility with both business and technical stakeholders
Comfortable working hands-on in a complex, fast-moving global environment
Strong communication skills, including the ability to explain technical trade-offs to non-technical partners
Expected Base Pay Range (USD)
138,840 - 208,000, $ per annum
The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.