Cloud Product Owner

Solihull
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior C# Developer

Software Engineering Manager

Enterprise Architect (SC Cleared)

Enterprise Architect (SC Cleared)

Analytics Engineer

Analytics Engineer

FDM is a global business and technology consultancy seeking a Hybrid Cloud Product Owner to work for our client within the public sector. This is initially a 6-month contract with the potential to extend and will be a hybrid role based in Solihull.

As a Hybrid Cloud Product Owner, you will be responsible for defining, planning, and delivering the vision for our client’s cloud infrastructure products. Working closely with stakeholders to understand their needs, prioritising features, and guiding the development team to ensure the successful implementation of hybrid cloud solutions that align with business objectives whilst maintaining accurate financial control of the Hybrid cloud Products.

The role requires an experienced operational lead, versed in agile product delivery with strong technical acumen and the ability to deliver a high-quality, reliable IT services that enable business productivity.

Responsibilities

  • Working in conjunction with the Foundation Services Product Manager to develop and communicate a clear product vision and strategy for the hybrid cloud infrastructure

  • Collaborate with stakeholders to gather requirements and translate them into a product backlog

  • Prioritise the product backlog based on business value, customer needs, and technical feasibility

  • Stay informed about industry trends and best practices to ensure the hybrid cloud infrastructure remains competitive

  • Identify and mitigate risks associated with the hybrid cloud products

  • Maintain clear and concise documentation related to product requirements, decisions, and releases

  • Oversee the complete lifecycle of the Hybrid cloud estate, including planning, deployment, and retirement of hardware and software

  • Ensure that all Hybrid cloud products adhere to the company's security standards and compliance requirements

  • Oversee the scheduling and deployment of software updates, patches, and upgrades to maintain system integrity and performance

  • Work with the SACM Product team to maintain an accurate inventory of all hybrid cloud devices, ensuring effective lifecycle management

  • Oversee the resolution of complex technical incidents and problems, ensuring timely and effective solutions

  • Manage O365 licensing to ensure compliance and cost-effectiveness

    Requirements

  • Minimum of 5 years of experience in hybrid cloud engineering or a related field, with at least 2 years in a product owner or product management role

  • In-depth knowledge of major cloud platforms like AWS, Azure, and Google Cloud

  • Ability to design and manage hybrid cloud environments, including on-premises and cloud integration topologies and architectures

  • Skills in managing hybrid cloud-related projects, including planning, execution, and monitoring

  • Knowledge of cloud security best practices, compliance standards, and tools for securing data and applications in a hybrid environment including a strong understanding of networking concepts, including VPNs, firewalls, load balancers, and network security

  • Experience with DevOps practices and tools, such as CI/CD pipelines, automation, and infrastructure as code (IaC)

  • Proficiency with container technologies like Docker and orchestration tools like Kubernetes

  • Skills in managing data across hybrid environments, including data migration, storage solutions, and data governance

  • Ability to implement and use monitoring tools to ensure the performance and reliability of hybrid cloud services

  • Understanding of APIs and integration techniques to connect different systems and services within a hybrid cloud setup

  • Knowledge of cost management and optimisation strategies for hybrid cloud environments. Proven track record of Hybrid cloud cost management

  • Proficient in ITIL best practices for incident, problem, and change management

  • Experience in product management, preferably in an IT Infrastructure related field

  • Familiarity with Agile/Scrum methodologies and experience working in an Agile environment

    Why join us?

  • Career coaching and access to upskilling throughout your entire FDM career

  • Initial upskilling pre-assignment that has been accredited by TechSkills

  • Assignments with global companies and opportunities to work abroad

  • Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more

    About FDM

    We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 4,000 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.

    Diversity and Inclusion

    FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws

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.

Quantum-Enhanced AI in Data Engineering: Reshaping the Big Data Pipeline

Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.

Data Engineering Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.