In your career, let’s prove what’s possible.
- Serve as the FPP Kinaxis Subject Matter Expert (SME) and Single Point of Contact (SPOC), providing business ownership, support, and guidance for all Kinaxis-related activities.
- Own the intake, prioritization, communication, and resolution of Kinaxis break-fix issues, partnering with DT, IT, and Kinaxis teams to drive timely resolution and minimize operational disruption.
- Lead continuous improvement (CIP) initiatives by identifying, prioritizing, and implementing system enhancements that improve planning quality, automation, efficiency, and user experience.
- Develop, maintain, and enhance Kinaxis reporting and analytics that enable business decision-making, including reports and dashboards for SRF changes, capacity gaps, available-to-promise (ATP), next available slot, schedule adherence, and planning performance.
- Gather and translate business requirements into system solutions, managing the Kinaxis enhancement backlog and ensuring planning processes, business rules, and data are accurately represented within the platform.
- Coordinate testing, validation, training, and deployment of new capabilities while partnering across Planning, Supply Chain, Manufacturing, and DT teams to maximize the value of Kinaxis and support predictable planning outcomes.
|
In your career, let’s prove what’s possible.
- Act as the local compliance lead for the Villach site, with focus on ISO 9001 requirements, Lam corporate policies, and global business processes.
- Maintain and continuously improve the Villach site accountability system in alignment with Lam’s Annual Operations Plan.
- Coordinate cross-functional objective setting, performance tracking, and accountability reviews, including Quarterly Operations Reviews.
- Lead and coordinate ISO 9001 and customer audits for the Villach site in close cooperation with Lam’s global Compliance organization.
- Drive corrective actions and continuous improvement initiatives related to audit findings, process gaps, and management-system nonconformities.
- Facilitate alignment across organizations and functions to ensure clear ownership, timely execution, and measurable progress against site objectives.
- Prepare and communicate performance insights, audit readiness status, and improvement opportunities to local and global leadership teams.
|
In your career, let’s prove what’s possible.
- Design and implement enterprise observability strategies across cloud, infrastructure, applications, and platforms.
- Build telemetry pipelines that ingest logs, metrics, traces, events, and topology information.
- Deploy and tune observability platforms to improve operational visibility and service reliability.
- Develop AIOps capabilities including anomaly detection, event correlation, noise reduction, and predictive insights.
- Partner with SRE, platform engineering, cybersecurity, and service operations teams to identify key operational signals.
- Create dashboards, service maps, operational scorecards, and SLO-driven reporting.
- Integrate observability data into AI agents, automation workflows, and operational platforms.
- Establish telemetry standards and observability engineering best practices.
- Drive continuous improvements in MTTD, MTTR, and service health monitoring.
|
In your career, let’s prove what’s possible.
- Define the enterprise architecture and technology strategy for Agentic AI, AIOps, autonomous operations, and intelligent automation.
- Establish architectural standards, design patterns, and governance frameworks for AI agents and multi-agent systems.
- Design the integration architecture connecting agents to enterprise systems including ServiceNow, cloud platforms, observability platforms, CMDB, developer platforms, and security tooling.
- Develop reference architectures for AI-powered incident response, service management, platform operations, FinOps, cybersecurity, and disaster recovery.
- Partner with executives and technology leaders to align agentic capabilities with business and operational priorities.
- Evaluate emerging technologies, frameworks, and vendors in AI, automation, platform engineering, and cloud-native ecosystems.
- Define policies, controls, and approval models that enable safe autonomous operations.
- Drive architecture reviews and technical governance across multiple engineering and operations teams.
- Mentor engineers and architects while fostering innovation and best practices.
|
|
|
