Process Re-Engineering Project Manager

JR United Kingdom; Slough; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading consultancy firm in Slough seeks a Process Re-Engineering Project Manager to drive process transformation projects for a Wealth Management/Financial Advisory client. The role involves leading end-to-end initiatives, collaborating closely with stakeholders, and identifying AI integration opportunities to optimize business processes.

Qualifications

• Experience with Lean, Six Sigma, and BPM methodologies.
• Proven track record in managing complex projects.
• Strong analytical and problem-solving skills.

Responsibilities

• Lead process re-engineering initiatives ensuring timely delivery.
• Collaborate with business leaders and external vendors.
• Drive organizational change through effective communication and training.

Skills

Project Management

Stakeholder Collaboration

Lean

Six Sigma

AI Integration

Change Management

Continuous Improvement

Job description

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Process Re-Engineering Project Manager, Slough

Client: Albany Beck

Location: Slough, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Views:

3

Posted:

10.06.2025

Expiry Date:

25.07.2025

Job Description:

Albany Beck is a consultancy dedicated to delivering tailored talent and operational solutions to our clients across Financial Services and beyond. We partner with top-tier financial institutions to deliver expert consulting and transformation services. Our collaborative approach places experienced professionals in high-impact roles, helping our clients to navigate complex challenges and realise strategic outcomes.

We are currently partnered with a Wealth Management/Financial Advisory firm, acting as their consulting partner for their Business Change and Transformation projects - supporting them across 7 key business areas. We are now looking to bring on a Project Manager to work on their process re-engineering, amongst other areas.

Key Responsibilities:

• Project Management: Lead end-to-end process re-engineering initiatives using proven methodologies (e.g., Lean, Six Sigma, BPM), ensuring on-time and within-budget delivery.
• AI Integration: Identify opportunities for applying AI, machine learning, and intelligent automation (e.g., NLP, RPA, predictive analytics) to improve or transform business processes.
• Stakeholder Collaboration: Work closely with business leaders, IT, data science teams, and external vendors to define scope, gather requirements, and deliver impactful solutions.
• Process Mapping & Analysis: Conduct current state assessments, gap analyses, and future state design; develop process models, KPIs, and documentation.
• Change Management: Drive organizational alignment and user adoption through effective communication, training, and change strategies.
• Continuous Improvement: Establish a framework for ongoing evaluation, measurement, and optimization of AI-driven processes post-implementation.