Benefits Manager Contract - #2194432

Axiologik are looking for an experienced Benefits Manager to join them working on one of their most meaningful and value driven project!

£600 inside IR35

ASAP - 29.06.27

Hybrid - once a week in Leeds (non negotiable)

A senior but hands on role working on a significant programme but likely overtime to expand into the wider teams and services.

Requires a self-starting, pragmatic, inquisitive, collaborative individual to work well in a complex environment.

Role Purpose

The Benefits Manager will lead the identification, definition, tracking and realisation of benefits across the portfolio.

The role will ensure that anticipated benefits are measurable, evidenced and realised, supporting investment decisions and demonstrating value to multiple organisations and wider stakeholders.

Key Responsibilities

Benefits Strategy and Planning

• Develop and maintain programme benefits management strategies and frameworks.
• Establish benefits baselines, measures, targets and realisation plans.
• Ensure benefits are aligned to programme objectives, business cases and strategic priorities.
• Define KPIs and success measures for programme outcomes.

Benefits Identification and Modelling

• Work with stakeholders to identify both quantitative and qualitative benefits.
• Develop robust benefits models, assumptions and calculation methodologies.
• Establish measures for productivity, cost avoidance, efficiency, workforce experience and risk reduction.
• Validate benefit assumptions with operational, technical and finance stakeholders.

Benefits Tracking and Reporting

• Monitor benefit delivery against agreed targets and milestones.
• Produce benefits reports for Programme Boards, Senior Responsible Owners and executive stakeholders.
• Develop dashboards and performance metrics to demonstrate benefit realisation.
• Identify emerging risks, dependencies and issues affecting benefit delivery.

Stakeholder Engagement

• Engage with workforce programmes, operational teams and suppliers to gather evidence of realised benefits.
• Facilitate workshops to define, review and validate benefits.
• Support programme teams in embedding benefits-led decision making.

Governance and Assurance

• Ensure benefits are managed in accordance with governance requirements.
• Support business case development by providing benefits analysis and evidence.
• Provide independent challenge to benefit forecasts and assumptions.
• Maintain benefits registers, profiles and realisation plans.

Continuous Improvement

• Capture lessons learned and benefit realisation evidence.
• Identify opportunities to increase value from programme investments.
• Promote best practice in benefits management across the programme portfolio.

Knowledge and Experience

Essential

• Experience leading benefits management for large-scale digital transformation programmes.
• Strong expertise in benefits modelling, forecasting and realisation.
• Experience developing business cases and investment appraisals.
• Excellent stakeholder management and facilitation skills.
• Experience producing executive-level reporting for senior leadership.

Desirable

• Experience within health and care settings.
• Experience with productivity and workforce transformation programmes.

Skills

• Benefits management
• Financial modelling
• Data analysis and reporting
• KPI development
• Business case development
• Stakeholder engagement
• Presentation and board reporting
• Risk and dependancy management

GDPR Statement

At Axiologik, we take pride in being 100% GDPR compliant. All your data is handled in strict compliance with EU data protection laws. We store your data for up to 12 months. For additional information on how we handled your data, please refer to our Privacy Policy on our website. All screening calls and virtual interviews will be recorded as part of our processes. If successful in application, you will be asked to confirm pronouns and make us aware of any reasonable adjustments you have, so we can ensure you are set up for success. The screening call will be recorded and data stored in Google Cloud which may be in US regions. This data is not used for marketing, advertising or training AI models and will be deleted after 30 days.