Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Portfolio Planning Delivery Manager

Vodafone
Newbury
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Science Manager

Operations / Data Analyst

Portfolio Data Analyst

Portfolio Data Analyst

Data Engineer

Location:Newbury or London + *Hybrid
Salary:Excellent basic salary plus bonus and Vodafone benefits
Working Hours:Full time hours per week – Mon to Fri


** This is a 12-month secondment opportunity **



*Hybrid

At Vodafone UK we believe that through collaboration and connection with our colleagues we can achieve great things. Our hybrid working approach allows our people to work both in the office and at home, providing the flexibility and resources you need to succeed in your role. We don't require you to be in on specific days; instead, we ask people to come into the office 2-3 days each week, on average 8 days a month. Our “Office in a Box” home working kit will provide you with everything you need, no matter where you are.



Who We Are

We’re a global technology communications company that empowers people and businesses to stay connected and thrive in a digital world. With a focus on innovation, sustainability and earning customer loyalty, we leverage cutting-edge technology to offer products and services that enhance communication and improve lives. 


At Vodafone UK, diversity isn’t just a buzzword, it is core to who we are as a company. We’re proud to be certified as a Great Place to Work and are committed to driving inclusion for all; creating a workplace that is fully representative of the communities and customers we serve.


Join Vodafone UK IT, which is at the core of our digital future, analysing and operating all our internal and customer-facing systems, with the aim of delivering the best customer experience. None of it would be possible without our innovative teams, creating a connected future with technologies like Cloud, AI and big data. 



What you’ll do 

We're looking for a Portfolio Planning Delivery Manager, to join our Technology Hub in London or Newbury HQ, bringing with you a broad range of experiences and a passion for lean programme governance and modern engineering technologies & practices. The Digital & IT planning and enablers function is a pivotal team within the D&IT Consumer portfolio, connecting business vision with a comprehensive technology change roadmap with sustainable speed at the core

 

You will manage overall, holistic Digital & IT CAPEX view of risks and opportunities across this portfolio, include process and integration with Consumer, SET and PMO You will provide value and insight led D&IT short to midterm roadmaps, supporting optimal decision via decision point and change request framework, where CAPEX and resource contention exists. You will lead on Continuous Improvement initiatives for Consumer Technology, to implement clear structure, stability and OKRs for the team You will look for optimal and early risk / decision management of a) capex b) plans c) capacity interlock for the year to allow for mitigation or remediation. You will introduce commitment and compliance to all key processes a) Change Requests b) Capacity planning c) Roadmap planning d) Hardlock and key checkpoint achievements.

Who you are 
 

You will have extensive experience in liaising with stakeholders and delivering successful change initiatives. You will demonstrate enthusiastic interest in modern development practice, tooling, technology and techniques. You will have a solid understanding of the full software development lifecycle including multiple delivery methodologies (agile and waterfall) with the ability to mentor, motivate and shape high performing teams. You will demonstrate extensive experience of budgeting, financial management and governance. You will have extensive experience of Capacity management practices. You will have demonstrable experience in introduction and management of SAFe Lean portfolio management practices.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.