Overview
The IFS PSO Optimisation Lead will be instrumental in driving operational transformations for a major field-services organisation. This role involves hands-on optimisation and tuning of workforce scheduling environments while collaborating closely with the Product Owner, planners, and operational stakeholders. The successful candidate will focus on enhancing engineer utilisation, reducing travel time, and improving overall service level agreement (SLA) performance across the business.
Responsibilities
- Optimise and tune IFS PSO scheduling rules across various parameters such as skills, territories, appointments, and SLAs.
- Analyse scheduling performance to identify and implement productivity and utilisation improvements.
- Replay historical demand data to refine scheduling optimisation models based on outcomes.
- Investigate planner overrides, addressing root causes through configuration and process improvements.
- Support regional go-lives and ensure effective scheduling performance during hypercare activities.
- Build relationships with planners and operational teams to foster trust and encourage adoption of the scheduling platform.
- Produce recommendations and documentation to ensure long-term ownership of scheduling solutions within the business.
Requirements
- Proven experience optimising and tuning IFS PSO in a live environment.
- Strong experience with ClickSoftware or Salesforce Field Service Optimizer may be considered as an alternative.
- Background in workforce scheduling, operational research, or quantitative optimisation.
- Experience in developing scheduling models considering various parameters like skills and workforce capacity.
- Previous involvement in large-scale field service deployments and hypercare activities.
- Strong analytical skills with proficiency in tools such as SQL, Excel, Power BI, or Python.
- Ability to effectively engage with planning and operational teams.