At a Glance
- Tasks: Lead exciting AI and Machine Learning projects, ensuring timely delivery and quality outcomes.
- Company: Pace, a forward-thinking consultancy with a human-centred approach.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and enjoy excellent career development opportunities.
- Why this job: Make a real impact on clients' lives while working with cutting-edge technology.
- Qualifications: Strong project management skills and experience in AI or Machine Learning.
The predicted salary is between 60000 - 80000 € per year.
Location: Hybrid – onsite in Oxford area 3 days per week, with travel to London
Duration: 18 months FTC
Start: ASAP
At Pace, our consultants genuinely care about the impact our work has on our customers and their customers alike. We are ‘problem solvers’ who call on our collective experience, knowledge and skills to support customers to access benefits early. We are reimagining how consulting services are delivered, taking a human-centred approach, and our work is having a material impact on people's lives.
Due to rapid growth with an exciting new customer, you will join our team as Project Manager where you will play a pivotal role in the end-to-end delivery of a portfolio of AI and Machine Learning projects.
Role: The Project Manager is responsible for end-to-end delivery of one or more AI and Machine Learning projects within a broader programme, ensuring outcomes are delivered on time, to scope, within budget and to quality. Working closely with the Programme Manager to manage dependencies, risks, and stakeholder expectations, the role is delivery-focused and hands-on, requiring strong planning, execution, governance and stakeholder management skills in complex client environments.
Accountabilities of the role will include:
- Delivery & execution
- Own the day-to-day management and delivery of assigned projects within the programme
- Develop and maintain project plans, schedules, milestones, RAID logs and delivery artefacts
- Ensure project deliverables align to programme objectives and benefits
- Track progress and proactively manage risks, issues and dependencies, escalating appropriately to the Programme Manager
- Drive delivery through clear actions, ownership and follow-up
- Governance & reporting
- Produce accurate and timely status reporting (progress, risks, financials, milestones)
- Support programme-level governance forums with clear, evidence-based updates
- Ensure agreed delivery standards, controls and ways of working are followed
- Maintain project documentation to support handover and sustainability
- Build and maintain strong working relationships with client stakeholders, suppliers and internal Pace teams
- Facilitate workshops, meetings and working sessions to progress delivery
- Communicate clearly, transparently and confidently, managing expectations at all levels
- Act as a trusted delivery partner to the client while representing Pace professionally
- Collaboration with the Programme Manager
- Work closely with the Programme Manager to align project delivery to programme priorities
- Contribute to programme-level planning and decision-making
AI/Machine Learning Project Manager (Consultant) in Oxford employer: PACE
At Pace, we pride ourselves on fostering a collaborative and innovative work culture that prioritises the well-being and growth of our employees. As an AI/Machine Learning Project Manager, you will benefit from a hybrid working model in the vibrant Oxford area, with opportunities for professional development and meaningful engagement in projects that make a real difference. Join us to be part of a team that values problem-solving and human-centred approaches, ensuring your contributions have a lasting impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI/Machine Learning Project Manager (Consultant) in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the AI and Machine Learning space, especially those who work at Pace or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your project management skills. Be ready to discuss how you've tackled risks and managed stakeholders in past projects. We want to see your hands-on experience shine!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've delivered projects on time and within budget. We love hearing about your success stories!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Pace.
We think you need these skills to ace AI/Machine Learning Project Manager (Consultant) in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Project Manager in AI and Machine Learning. Highlight relevant experience, skills, and achievements that align with the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and Machine Learning project management. Share specific examples of how you've successfully delivered projects in the past, and let us know why you want to join Pace.
Showcase Your Problem-Solving Skills:Since we’re all about being problem solvers, make sure to highlight instances where you've tackled challenges head-on. Whether it's managing risks or navigating complex client environments, we want to see your strategic thinking in action!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team at Pace!
How to prepare for a job interview at PACE
✨Know Your AI and Machine Learning Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss how these can impact project delivery and client outcomes, as this role is all about applying that knowledge practically.
✨Showcase Your Project Management Skills
Prepare examples from your past experiences where you've successfully managed projects, especially in complex environments. Highlight your ability to manage risks, dependencies, and stakeholder expectations, as these are key aspects of the role.
✨Demonstrate Your Communication Skills
Since this role involves a lot of collaboration and stakeholder management, practice articulating your thoughts clearly and confidently. Think about how you would communicate project updates or handle difficult conversations with clients.
✨Be Ready for Scenario Questions
Expect to face scenario-based questions that test your problem-solving abilities. Prepare to discuss how you would handle specific challenges in project delivery, such as managing tight deadlines or unexpected changes in project scope.
