Sourced artificial intelligence and software context
Models, products, and production services: SAP S/4HANA Consultant
The City of San Jose identifies artificial intelligence as a priority growth sector and includes AI training and job-matching programs in its fiscal year 2025 to 2026 economic plan. Use the local operating setting to choose a process scenario with real constraints. Ask how the consultant would handle standard functionality, required extensions, and a gap that affects operations or reporting. AI product work can join source data, models, application code, evaluation, user feedback, cost controls, access rules, and production support under separate owners.
Evidence to request: Run a fit-to-standard workshop scenario and score process knowledge, decision capture, and control of unnecessary customization. Define the user decision, model boundary, source data, evaluation set, deployment path, access control, cost target, failure response, and approving product owner.
Sourced semiconductors and advanced manufacturing context
Engineering, fabrication, and supply controls: SAP S/4HANA Consultant
A July 2025 City of San Jose economic-development release names advanced manufacturing and semiconductors among the industries the city plans to attract, retain, and grow. Specify the migration and integration boundary. Candidates should trace master data, transactions, interfaces, custom code, and testing from the current environment into S/4HANA. Semiconductor and manufacturing programs may connect product definitions, equipment, process recipes, production schedules, quality results, suppliers, inventory, maintenance, and cost records.
Evidence to request: Review a migration or interface issue with object mapping, test evidence, ownership, and business impact. Set the design or plant boundary, product revision, process control, equipment interface, traceability unit, quality release, supplier handoff, change window, and support owner.
Sourced data centers and energy infrastructure context
Capacity, continuity, and facility operations: SAP S/4HANA Consultant
San Jose's July 2026 large energy-use project page distinguishes data centers from research laboratories, advanced manufacturing sites, electric-vehicle charging hubs, and other power-intensive facilities. Treat cutover and stabilization as separate evidence. Require a plan for sequence, dependencies, business validation, fallback, defect triage, and transfer to the support team. These facilities can combine power, cooling, networks, physical security, capacity, asset maintenance, environmental controls, backup systems, and tenant or workload commitments.
Evidence to request: Ask for a cutover segment the consultant owned, including prerequisites, timing, validation, and the response to a failed step. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.