Product Manager - Industrial Operations Analytics
First seen by Alion on Nov 13, 2026.
Product Manager / Product Owner: Industrial Operations Analytics
Requirements & Specification
- Write PRDs with persona-driven, testable acceptance criteria.
- Define KPIs with formulas and data sources.
Analytics & AI Features
- Specify AI agents with autonomy levels and escalation rules.
- Define reusable AI skills with inputs, outputs, and sources.
- Scope AI specialists by domain: maintenance, quality, energy, and safety.
- Design autonomous data apps: insight to action, closed-loop.
- Set guardrails, human approval, and audit trails.
- Define dashboards, widgets, and alerts with persona-specific defaults and drill-down paths.
- Partner with design teams to groom requirements and review Figma designs.
- Validate Figma prototypes against acceptance criteria before engineering handoff.
Delivery & Stakeholders
- Lead grooming and handoff with engineering, and resolve scope trade-offs against acceptance criteria.
- Drive cross-functional collaboration with product, design, engineering, and program management.
Qualifications
Must have
- 8+ years in product management or product ownership for industrial, manufacturing, or operations analytics software.
- Working knowledge of OT data sources (historians, MES, SCADA) and IT systems (ERP, CMMS).
- Familiarity with industrial KPIs (maintenance, quality).
- Experience writing PRDs, KPI specifications, and data integration requirements.
Nice to have
- Experience with predictive maintenance, quality analytics, or energy management products.
- Hands-on exposure to ML model lifecycle or LLM/RAG applications in operational settings.
- Background in plant operations, reliability engineering, or process industries.
- Experience with IIoT platforms (edge gateways, device connectivity, cloud data pipelines).
- Experience across multiple industrial domains, such as manufacturing, energy, utilities, oil and gas, mining, or pharmaceuticals
Skills
Product Management, Analytics, IIOT