Digital Project Manager

Collabera Digital
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Head of DevOps and DataOps

Artificial Intelligence and Data Science Specialist

Artificial Intelligence (AI) Consultant

Artificial Intelligence (AI) Consultant

Data Science Manager

Description: We are seeking an experienced Digital Project Manager with a strong background in marketing, content management, and new website launches. This role requires a dynamic individual who can seamlessly manage digital projects from concept to completion, ensuring alignment with marketing strategies and business objectives. The ideal candidate will have a proven track record in digital project management, exceptional communication skills, and a passion for delivering high-quality digital experiences. The role involves working within a matrixed organization, requiring effective collaboration across various departments and levels. Key Responsibilities: 1. Project Management: Lead and manage digital projects, including website redesigns, new website launches, content creation, and digital marketing campaigns. Develop detailed project plans, timelines, and budgets, ensuring all projects are delivered on time and within scope. Coordinate with cross-functional teams, including designers, developers, marketers, and content creators, to ensure project milestones are met. 2. Marketing & Content Management: Collaborate with the marketing team to align project goals with overall marketing strategies and campaigns. Oversee the creation and deployment of digital content, ensuring consistency with brand voice and style guidelines. Manage SEO, SEM, and other digital marketing initiatives to optimize website performance and traffic. 3. New Website Launches: Plan and execute new website launches, including managing the migration of content, setting up analytics, and conducting quality assurance checks. Work closely with UX/UI designers and developers to create user-friendly and visually appealing websites. Monitor and analyze website performance post-launch, making recommendations for improvements based on data insights. 4. Matrixed Organization Collaboration: Navigate the complexities of a matrixed organization by working with multiple stakeholders across different departments and levels. Facilitate communication and alignment between various business units, ensuring all parties are informed and engaged. Manage competing priorities and balance the needs of multiple stakeholders to achieve project success. 5. Stakeholder Communication: Serve as the primary point of contact for all project-related communications, providing regular updates to stakeholders. Conduct project meetings, presentations, and workshops as needed to keep all team members informed and engaged. 6. Quality Assurance & Reporting: Ensure all digital projects meet quality standards and business objectives. Track and report on project performance metrics, including KPIs, ROI, and user engagement. Identify and mitigate potential risks throughout the project lifecycle. About Us: Collabera Digital is a Leading Digital Solutions company providing Software Engineering Solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60 offices globally and currently place 10000 professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. {and 59% of the Fortune 50 (could use either stat)} With Collabera Digital, you: Will get to work on numerous challenging and exciting projects, including Salesforce, AI/Data Science, Generative AI, Automation, Cloud Enterprise, and Cyber Security. At Collabera Digital, you have an 80% chance of project extension or redeployment to other clients. Will have endless opportunities to learn new technologies through our in-house training arm – Cognixia. Additionally, you can also share the CV at ashwini.wanjaricollaberadigital.com of anyone you know who might be a good fit for this position. We have a referral policy in place.

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.