Commodity & Supply Chain Manager ( Hybrid- 3 days a week)- Sanfracisco/Bay Area

Indigo Slate•San Francisco, CA

19d•$55 - $60•Hybrid

About The Position

IndigoSlate, a Zensar Company, is seeking an experienced Commodity & Supply Chain Manager in the San Francisco/Bay Area. This is a hybrid position requiring 3 days in the office. The role involves managing critical commodities and long-lead equipment from market insight through commercial commitment and delivery. You will build and strengthen supplier assurance, align demand with secured capacity, and embed governance and operating rhythms for client teams to sustain commodity management capabilities. This includes building and maintaining market, price, capacity, allocation, and lead-time views across various categories, developing should-cost models, and translating market signals into actionable recommendations. You will also assess supplier capabilities, support commercial execution, and help clients secure priority and capacity ahead of build schedules.

Requirements

6+ years of experience in commodity management, supplier relationship, strategic sourcing, supply-chain planning, procurement transformation, operations consulting, or a related field.
Deep capability in should-cost modeling, cost-driver analysis, supplier economics, negotiation strategy, competitive sourcing, and buy-versus-hedge decisions.
Ability to combine incomplete market, quotation, supplier, and transaction data into defensible recommendations with explicit assumptions, confidence, and risk.
Demonstrated experience assessing supplier capability, capacity, allocation position, quality, and performance.
Experience leading or supporting qualification, scorecards, competitive events, commercial negotiations, capacity commitments, factory acceptance, and delivery-performance management.
Proven ability to identify and mitigate single-source, geographic, tariff, logistics, specification, quality, and qualification exposure.
Experience developing dual-source, alternate-supplier, buffer, and contingency strategies.
Ability to connect forecasts, build waves, order timing, supplier capacity, and schedule-critical milestones.
Demonstrated success advising cross-functional and executive stakeholders in global, client-facing environments.
Ability to facilitate decisions, clarify roles and escalation paths, translate complex analysis into executive choices, establish operating rhythms and measures, create playbooks, train users, and transfer a sustainable capability to client teams.
Experience shaping proposals, statements of work, estimates, and RFP responses.
Experience translating scope into workplans, milestones, stakeholder inputs, and measurable outcomes.
Experience maintaining delivery quality, commercial discipline, risk escalation, and client trust.
Working knowledge of SQL, Python, and Excel modeling.
Working knowledge of SAP Ariba, Coupa, or SAP SCM 09 and Google collaboration tools.
Strong facilitation, communication, storytelling, analytical, negotiation, and relationship-management skills.
Experience with long-lead, capital-intensive, or schedule-critical categories is required.
Bachelor’s degree in supply chain, procurement, engineering, operations, finance, economics, data science, or a related discipline.

Nice To Haves

MBA or advanced degree is preferred.
Datacenter experience is advantageous.
Supply-chain analytics, cloud AI

Responsibilities

Build and maintain market, price, capacity, allocation, and lead-time views across categories such as copper, aluminum, steel, transformers, switchgear, generators, cooling equipment, semiconductors, and technology hardware.
Develop should-cost models, cost-driver analyses, buy-versus-hedge scenarios, and reusable sourcing plays before commercial commitments are made.
Translate market and supplier signals into clear hedge, lock, source, qualification, and escalation recommendations.
Use licensed market sources, supplier engagement, and client purchase-order and quotation history to create defensible decision baselines.
Use predictive analytics and machine-learning techniques for demand forecasting, price and lead-time scenarios, supplier-risk sensing, anomaly detection, and early-warning indicators.
Design AI-supported decision workflows with transparent assumptions, source traceability, confidence thresholds, and human approval for material sourcing and commercial decisions.
Assess supplier capability, capacity, allocation position, quality, and performance.
Support supplier qualification, competitive sourcing, negotiation strategy, capacity commitments, factory acceptance, and delivery adherence.
Build supplier scorecards and structured relationship-management practices for critical vendors.
Help clients secure priority and capacity ahead of the build schedules that depend on them.