Sourced artificial intelligence and software context
Models, products, and production services: ERP Project Manager
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. Translate the operating context into workstreams, process owners, milestones, acceptance evidence, and constraints on outages or business calendars. Ask how unresolved decisions are surfaced and closed. 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: Review an ERP plan or RAID log with workstreams, dependencies, owners, dates, decision gates, and measurable acceptance criteria. 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: ERP Project Manager
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. Set dependencies among the ERP, source systems, interfaces, reports, identity, data loads, testing cycles, sites, and vendors. Require a comparable example where the critical path changed. Semiconductor and manufacturing programs may connect product definitions, equipment, process recipes, production schedules, quality results, suppliers, inventory, maintenance, and cost records.
Evidence to request: Use a conversion, integration, or testing failure and score triage, ownership, options, schedule effect, and closure evidence. 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: ERP Project Manager
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. Define budget, schedule, risk, quality, readiness, and stabilization controls. Candidates should explain forecasting, escalation, test exit, go-live approval, rollback, and support handoff. 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 or deployment the manager led, including prerequisites, command structure, validation, business communication, and stabilization. Name the facility and workload boundary, capacity unit, power and cooling dependencies, availability target, access model, maintenance path, recovery test, and change authority.