At a Glance
- Tasks: Lead AI and Machine Learning projects, ensuring timely delivery and quality outcomes.
- Company: Pace, a forward-thinking consultancy focused on impactful solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting 18-month contract with potential for career advancement.
- Why this job: Join a dynamic team making a real difference in people's lives through innovative technology.
- Qualifications: Experience in project management and strong stakeholder management skills.
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) employer: PACE
At Pace, we pride ourselves on being an exceptional employer that values the well-being and growth of our team members. Our hybrid work model in the vibrant Oxford area, combined with opportunities for travel to London, fosters a dynamic and collaborative work culture where innovation thrives. We are committed to professional development, offering our consultants meaningful projects in AI and Machine Learning that not only challenge them but also make a tangible difference in people's lives.
StudySmarter Expert Advice🤫
We think this is how you could land AI/Machine Learning Project Manager (Consultant)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and Machine Learning space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to project management in AI. We recommend using real-life examples from your experience to showcase your skills and how you handle challenges.
✨Tip Number 3
Showcase your passion for AI and Machine Learning! During interviews, share your thoughts on industry trends or recent projects you've worked on. This will demonstrate your enthusiasm and knowledge in the field.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI/Machine Learning Project Manager (Consultant)
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 tell us 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 don’t forget to show your enthusiasm for joining our team at 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 know how you’ve made a difference in your previous roles.
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 ensures you don’t miss out on any important updates from our team. We can’t wait to hear from you!
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 management and delivery. Showing that you understand the technical side will impress your interviewers.
✨Demonstrate Your Project Management Skills
Prepare examples from your past experiences where you successfully managed projects, especially in complex environments. Highlight your ability to manage risks, dependencies, and stakeholder expectations, as this is crucial for the role.
✨Showcase Your Communication Skills
Since the role involves a lot of 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 by thinking through potential challenges you might encounter in AI and machine learning projects and how you would address them effectively.
