IFS PSO Optimisation Lead
IO Associates
London, United Kingdom
Corporate ManagementBusiness Process ImprovementConversion Rate OptimizationInteractive System Productivity Facility (ISPF)OperationalizationWorkforce OptimisationCost OptimisationPlant OptimizationSAP POContinuous Optimization
Description
Title: IFS PSO Optimisation Lead
Contract: Initial 6-Month Contract (Likely Extension)
Rate: Up to £600 per day (Outside IR35
Location: UK Remote with Regular Site Travel
Start Date: ASAP (Ideally Within 2 Weeks)
I'm currently supporting a major field-services organisation undergoing a significant operational transformation programme and looking to appoint an experienced IFS PSO Optimisation Lead on an initial 6-month contract.
This is a hands-on opportunity for someone who has a strong background optimising and tuning live workforce scheduling environments. Working closely with the Product Owner, planners and operational stakeholders, you'll play a key role in improving engineer utilisation, reducing travel time, enhancing SLA performance and driving adoption of the scheduling solution across the business.
Key Responsibilities
Contract: Initial 6-Month Contract (Likely Extension)
Rate: Up to £600 per day (Outside IR35
Location: UK Remote with Regular Site Travel
Start Date: ASAP (Ideally Within 2 Weeks)
I'm currently supporting a major field-services organisation undergoing a significant operational transformation programme and looking to appoint an experienced IFS PSO Optimisation Lead on an initial 6-month contract.
This is a hands-on opportunity for someone who has a strong background optimising and tuning live workforce scheduling environments. Working closely with the Product Owner, planners and operational stakeholders, you'll play a key role in improving engineer utilisation, reducing travel time, enhancing SLA performance and driving adoption of the scheduling solution across the business.
Key Responsibilities
- Optimise and tune IFS PSO scheduling rules across skills, territories, appointments, shifts, SLAs and travel constraints.
- Analyse scheduling performance and identify opportunities to improve productivity and utilisation.
- Replay historical demand and compare scheduling outcomes to refine optimisation models.
- Investigate planner overrides and address root causes through configuration, process improvements and data quality enhancements.
- Support regional go-lives and hypercare activities, ensuring scheduling performance remains effective in live operations.
- Build strong relationships with planners and operational teams to improve trust and adoption of the scheduling platform.
- Produce recommendations, acceptance criteria and documentation to support long-term ownership within the business.
- Proven experience optimising and tuning IFS PSO in a live environment.
- Alternatively, strong experience with ClickSoftware or Salesforce Field Service Optimizer.
- Background in workforce scheduling, operational research or quantitative optimisation.
- Experience developing scheduling models that consider skills, geography, workforce capacity, appointments and service commitments.
- Previous involvement in large-scale field service deployments and hypercare activities.
- Strong analytical skills with tools such as SQL, Excel, Power BI or Python.
- Ability to engage effectively with planning and operational teams.
- IFS Cloud and Advanced Resource Planner.
- PSO Workbench administration and dataset management.
- Utilities, telecoms, housing repairs, facilities management or compliance sectors.
- IFS PSO or FSM certifications.
Our client has a swift 2 stage process and for the right candidate they will interview next week!
If you're interested in this role, or know someone who would be, then please apply to this advert and reach out to (see below)
Disclaimer: Any remuneration stated in this advertisement is indicative and will be dependent on the successful candidate's experience, skills and qualifications. Final remuneration will be agreed with the successful candidate and will be subject to the terms of the contract.