Asset Protection Portfolio Manager

ALDWYCH CONSULTING LTD
Fobbing
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Data Science Consultant - Financial Services Expertise

Principal Data Science Consultant - Financial Services Expertise

Energy Systems Data Scientist

Information and Data Governance Lead

Senior Data Scientist

Senior Golang Developer - 2 Day London - Inside IR35


Freelance Asset Protection Portfolio Manager - Rail


A fantastic opportunity has arisen for anAsset Protection Portfolio Managerto join a leading rail infrastructure team on a temporary basis. This role is based inYorkwith ahybrid working model, requiring at least three days per week on-site. The position is initially for12 months, with the option to extend, and offers a competitiverate of up to £400 per day, depending on experience.


Key Responsibilities:

  • Lead and oversee the development and successful delivery of externally funded schemes.
  • Provide expert advice and guidance on third-party engineering activities while building strong relationships with external organisations and utilities.
  • Develop sponsorship and project support for asset protection, ensuring all schemes meet defined requirements.
  • Establish and maintain effective controls for project delivery, ensuring compliance with contractual agreements and commercial governance.
  • Support the development and implementation of strategies for project delivery, sharing best practices and identifying continuous improvement opportunities.
  • Engage and manage stakeholder interfaces, ensuring alignment with governance and assurance processes.
  • Oversee compliance withRailways Act, Network Licence, andCDM Management proceduresfor Asset Protection projects.
  • Analyse cost recovery success in accordance with legal agreements.
  • Leadaccident investigationswhen required.


Essential Experience & Qualifications:

  • Chartered Engineer or equivalent experience.
  • Strong knowledge of operational railway and railway infrastructure.
  • Proven track record in delivering rail projects.
  • RegisteredPRINCE2 Practitioneror equivalent project management qualification.
  • Previous experience withinNetwork Rail Asset Protection.
  • Excellent stakeholder management and communication skills.
  • Leadership experience, includingmentorship and team development.
  • Strong decision-making skills with the ability to challenge ideas constructively.
  • Deep understanding ofproject commercial requirements, programme controls, and investment practicesin the rail industry.
  • Extensive knowledge ofPACE, CDM Regulations, CSM-RA, and Health & Safety legislation.
  • Competency inaccident investigation.


This is an excellent opportunity for an experienced rail professional to contribute to high-impact projects, ensuring safety, compliance, and successful project delivery. If this sounds like the right fit, apply today.

Aldwych Consulting values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are happy to discuss reasonable adjustments and/or additional arrangements as required to support your application.

Candidates must be eligible to live and work in the UK.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.


JBRP1_UKTJ

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

Jobs

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.