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For Companies At a Glance
- Tasks: Lead exciting Data Science and AI projects to enhance payroll accuracy and financial performance.
- Company: Join a leading retailer at the forefront of technology innovation.
- Benefits: Enjoy a full-time role with opportunities for growth and collaboration in a dynamic environment.
- Why this job: Make a real impact by turning innovative ideas into business value while working with diverse teams.
- Qualifications: Experience in managing Data Science or AI projects is essential; strong communication skills are a must.
- Other info: Ideal for those passionate about technology transformations in finance or retail.
The predicted salary is between 43200 - 72000 £ per year.
Overview
Technology Project Manager – Data Science & AI
A leading retailer is seeking a Technology Project Manager to drive its growing Data Science & AI capability. Following successful proof-of-concept projects, these initiatives are now being scaled in-house to deliver measurable impact on payroll accuracy and financial performance.
This is a high-profile role where you’ll lead complex Data Science and AI/ML programmes end-to-end. You’ll be responsible for orchestrating delivery across cross-functional squads, ensuring programmes land successfully, and turning innovation into tangible business value.
Responsibilities
- Lead delivery of Data Science and AI initiatives (e.g., payroll accuracy and P&L cockpit).
- Manage planning, risks, dependencies, and stakeholder alignment across multiple teams.
- Collaborate closely with Product Managers, Solution Architects, Engineers, and Data Scientists.
- Translate technical progress into clear, business-focused updates for senior stakeholders.
- Ensure programmes are aligned with broader commercial and strategic priorities.
Qualifications
- Proven experience as a Project Manager on Data Science, AI/ML, or advanced analytics projects.
- Strong stakeholder management and communication skills.
- Track record of delivering technology programmes within complex organisations.
- Familiarity with agile delivery and cross-functional squad environments.
Nice to Have
- Background in finance or retail, particularly relevant for P&L use cases.
- Experience working with large-scale technology transformations in a global environment.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology and Project Management
Industries
- IT Services and IT Consulting
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AI Project Manager employer: mthree
Contact Detail:
mthree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Project Manager
✨Tip Number 1
Familiarise yourself with the latest trends in Data Science and AI/ML. Being well-versed in current technologies and methodologies will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of Data Science and AI. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn about the latest developments, which can give you an edge when discussing your experience.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed complex projects in the past. Highlight your stakeholder management skills and how you've turned technical progress into business value, as this aligns closely with the role's requirements.
✨Tip Number 4
Research the company’s recent initiatives in Data Science and AI. Understanding their current projects and challenges will allow you to tailor your discussions and demonstrate how your skills can directly contribute to their goals.
We think you need these skills to ace AI Project Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing Data Science and AI/ML projects. Use specific examples that demonstrate your ability to lead cross-functional teams and deliver measurable results.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of AI Project Manager. Discuss your familiarity with agile methodologies and how your background aligns with the company's goals in technology transformation.
Highlight Stakeholder Management Skills: Emphasise your strong communication skills and your experience in stakeholder management. Provide examples of how you've successfully aligned multiple teams and communicated technical progress to senior stakeholders.
Showcase Relevant Experience: If you have a background in finance or retail, make sure to mention it. Highlight any relevant projects that involved P&L use cases or large-scale technology transformations, as this will strengthen your application.
How to prepare for a job interview at mthree
✨Showcase Your Project Management Experience
Be prepared to discuss your previous experience managing Data Science and AI/ML projects. Highlight specific examples where you successfully led initiatives, focusing on the outcomes and how you overcame challenges.
✨Demonstrate Stakeholder Management Skills
Since this role involves significant stakeholder interaction, be ready to share examples of how you've effectively communicated with various stakeholders. Discuss how you ensured alignment and managed expectations across different teams.
✨Familiarise Yourself with Agile Methodologies
Understanding agile delivery is crucial for this position. Brush up on agile principles and be prepared to discuss how you've applied them in past projects, particularly in cross-functional environments.
✨Translate Technical Jargon into Business Value
Practice explaining complex technical concepts in simple terms. You may be asked to demonstrate how you would communicate technical progress to senior stakeholders, so think about how to frame updates in a business-focused manner.