At a Glance
- Tasks: Lead agile delivery for cutting-edge AI and data projects in a fast-paced environment.
- Company: Join a global leader in data and analytics with a focus on innovation.
- Benefits: Competitive salary, bonus, remote work, and comprehensive benefits package.
- Other info: Be part of a high-growth team with excellent career advancement opportunities.
- Why this job: Shape the future of AI and data while collaborating with top experts.
- Qualifications: Experience in project management, agile methodologies, and technical environments.
The predicted salary is between 60000 - 70000 £ per year.
Our client is a global leader in data, insights, and analytics, helping organizations make smarter decisions through advanced technology and research. They are investing heavily in next-generation AI and data platforms that are redefining how data is created, scaled, and used across industries, as part of a wider strategic initiative programme.
Work on cutting-edge generative AI and data platforms shaping the future of research and analytics.
Collaborate with top-tier academic partners and cross-functional experts (data science, engineering, research).
Be part of a high-growth, innovation-focused team with strong executive backing.
Join a global organization with thousands of colleagues and international reach.
Enjoy a culture that balances scientific rigor with real-world impact and scalability.
This is a pivotal Technical Project Manager role where you’ll drive delivery across a fast-moving AI and engineering environment. You’ll ensure teams operate efficiently, deliver consistently, and maintain transparency across key stakeholders.
- Own and drive agile delivery across AI/ML product workstreams.
- Translate strategy into well-structured Jira backlogs, epics, and user stories.
- Run high-performing sprint ceremonies (planning, stand-ups, reviews, retrospectives).
- Improve delivery through continuous process optimization and operational excellence.
- Provide clear visibility on progress, risks, and dependencies across stakeholders.
Our client is looking for a delivery-focused Technical Project Manager with strong agile expertise and experience operating in technical environments.
- Proven experience as a Technical Project Manager, Scrum Master, or Delivery Lead.
- Strong hands-on expertise with Jira and Confluence (workflows, dashboards, reporting).
- Experience managing agile delivery cycles (preferably 2-week sprints).
- Excellent stakeholder management across engineering, product, and non-technical teams.
- Experience delivering data, platforms, APIs, or AI/ML environments.
- Previous professional experience in the data/software engineering space, such as having worked as a Data Analyst, Software Engineer, Data Engineer, or similar, with a solid understanding of the domain (highly desirable).
This Technical Project Manager role is proving popular and won’t be around for long, so please get in touch if you are interested or hit the apply button. If you need any advice, please don’t hesitate to give me a call.
Technical Project Manager - Data & AI products in Brighton employer: KDR Talent Solutions
Join a pioneering global leader in data and AI, where innovation meets impact. As a Technical Project Manager, you'll thrive in a dynamic remote environment that champions collaboration with top-tier experts and offers robust growth opportunities. Enjoy a culture that values scientific rigor while empowering you to drive meaningful change across industries.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Project Manager - Data & AI products in Brighton
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We think you need these skills to ace Technical Project Manager - Data & AI products in Brighton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at KDR Talent Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at KDR Talent Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at KDR Talent Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at KDR Talent Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
