AI Project & Operations Manager
New
H
HexionIndustrial AI software
Source API remote eligibility restrictions: United States, Across time zonesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience managing complex technology projects from initiation through delivery
- Required Skills
- JiraAzure DevOps
Requirements
- 10+ years managing complex technology projects from initiation through delivery, including scope, schedule, dependencies, risks, and stakeholder reporting.
- Demonstrated success coordinating planning across multiple engineering or technical teams, with measurable delivery results.
- Experience recovering at-risk projects through clear plans, stakeholder alignment, and disciplined execution.
- Hands-on experience with project management and delivery tools such as Azure DevOps or Jira.
- Experience delivering, integrating, or deploying manufacturing software in plant environments, particularly MES and MOM/MOS platforms, and supporting operational adoption.
- Experience designing and operating business rhythms, including business reviews, planning cycles, decision logs, and action tracking.
- Experience building executive-use KPIs and dashboards to support decisions.
- Experience creating scalable processes, handoffs, and playbooks adopted by others as a team or business grew.
- Experience leading or coordinating large, globally distributed engineering and quality assurance teams across time zones without formal authority.
- Clear, concise written and verbal communication across technical teams, field organizations, customers, and senior leadership.
- Preferred: Experience delivering digital or software products in industrial, chemical, or manufacturing companies, ideally for external customers.
- Preferred: Software development leadership, startup or early-stage deployment experience, customer-facing delivery coordination, or a PMP, Agile, or equivalent project management certification.
- Preferred: Familiarity with MES, MOM/MOS, historians, OPC, or IoT platforms, or the ability and motivation to build fluency quickly.
Responsibilities
- Own quarterly commitments across engineering, R&D, and customer delivery, including scope, schedules, dependencies, risks, decisions, and stakeholder reporting.
- Translate shared priorities into executable plans with clear owners and milestones across technical and delivery teams.
- Identify at-risk initiatives and develop recovery plans that align stakeholders, resolve dependencies, and restore delivery confidence.
- Establish business operating cadences, including planning cycles, business reviews, decision tracking, and action follow-through.
- Build and maintain executive-ready KPIs and dashboards for delivery progress, operational health, risks, and business outcomes.
- Design processes, handoffs, and playbooks for repeatable customer launches and scalable growth.
- Coordinate manufacturing software integration and deployment, including MES and MOM/MOS platforms, and support adoption in plant environments.
- Coordinate a globally distributed data science and modeling organization across time zones and functional boundaries.
- Partner with customer success managers and forward-deployed engineers on mill connectivity, training, adoption, and value realization.
- Use Azure DevOps or Jira to manage execution and accountability, and apply deployment lessons to improve future planning.
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