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- Tasks: Lead complex data and AI projects, guiding teams through the delivery lifecycle.
- Company: Join a fast-scaling tech consultancy delivering innovative solutions to major clients.
- Benefits: Enjoy hybrid work, performance bonuses, and dedicated development support.
- Why this job: Work on impactful projects in a dynamic environment with opportunities for rapid career growth.
- Qualifications: 5+ years in project management, strong Agile knowledge, and excellent communication skills required.
- Other info: Experience with Jira or Azure DevOps is a plus; consultancy background preferred.
The predicted salary is between 52000 - 78000 £ per year.
We’re hiring a Senior Project Manager to join a fast-scaling technology consultancy delivering data, platform, and AI solutions to major enterprise clients. This is a client-facing delivery leadership role, responsible for guiding cross-functional teams through the full delivery lifecycle.
The role is best suited to someone who thrives in dynamic environments where Agile is applied pragmatically, stakeholder alignment is critical, and governance underpins successful delivery.
Key Responsibilities- Lead the delivery of complex, multi-workstream projects across data and AI
- Own the project lifecycle: planning, sprint ceremonies, backlog management, risk & issue resolution
- Work closely with Product Managers, Analysts, Engineers, and client-side teams to unblock dependencies and drive delivery forward
- Set up and enforce governance frameworks, reporting mechanisms, and continuous improvement practices
- Coach and guide teams in Agile best practices, adapting delivery methods based on environment
- 5+ years of project or delivery management experience in tech, data, or AI
- Strong working knowledge of Agile, Scrum, Kanban and hybrid delivery models
- Confidence managing projects with varied stakeholders, ambiguity, and shifting priorities
- Clear, structured communicator with a track record of building trust with technical and non-technical stakeholders
- Comfortable balancing short-term delivery goals with long-term programme vision
- Experience using Jira, Azure DevOps, or similar tools
- Background in consultancy or client-facing delivery
- Familiarity with data platforms, ML/AI workflows, or enterprise cloud environments
- Experience running Agile ceremonies and refining backlogs or writing user stories
- Opportunities to work on complex technical programmes with a meaningful real-world impact
- Gain exposure to AI, data and platform transformation within household-name clients
- Dedicated development days, certifications and mentoring to support your growth
- Performance-led bonus and fast-tracked career progression for high performers
Senior Project Manager - Data & AI employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Project Manager - Data & AI
✨Tip Number 1
Familiarise yourself with Agile methodologies, especially Scrum and Kanban, as these are crucial for the role. Consider obtaining certifications or attending workshops to demonstrate your commitment and expertise in these areas.
✨Tip Number 2
Network with professionals in the data and AI sectors, particularly those who have experience in project management. Engaging with industry events or online forums can help you gain insights and potentially connect with decision-makers at StudySmarter.
✨Tip Number 3
Showcase your experience in managing complex projects by preparing specific examples of how you've successfully navigated stakeholder challenges and delivered results. Be ready to discuss these during interviews to highlight your problem-solving skills.
✨Tip Number 4
Research StudySmarter's recent projects and initiatives in data and AI. Understanding our work will not only help you tailor your discussions but also demonstrate your genuine interest in joining our team.
We think you need these skills to ace Senior Project Manager - Data & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in project management, particularly in tech, data, and AI. Emphasise your familiarity with Agile methodologies and any specific tools like Jira or Azure DevOps.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's needs. Mention your experience in leading cross-functional teams and your ability to manage stakeholder relationships.
Showcase Your Achievements: Use quantifiable achievements to demonstrate your impact in previous roles. For example, mention successful projects you've led, improvements in delivery times, or how you’ve enhanced team performance through Agile practices.
Prepare for Potential Questions: Anticipate questions related to your experience with Agile methodologies and managing complex projects. Be ready to discuss specific examples of how you've navigated challenges and delivered results in dynamic environments.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Agile Expertise
Since the role heavily involves Agile methodologies, be prepared to discuss your experience with Agile, Scrum, and Kanban. Share specific examples of how you've successfully implemented these practices in past projects.
✨Demonstrate Stakeholder Management Skills
This position requires managing varied stakeholders. Prepare to talk about how you've built trust and communicated effectively with both technical and non-technical teams. Highlight any challenges you faced and how you overcame them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in dynamic environments. Think of scenarios where you've had to manage shifting priorities or ambiguity, and be ready to explain your thought process and actions.
✨Familiarise Yourself with Relevant Tools
The job mentions tools like Jira and Azure DevOps. Brush up on your knowledge of these platforms and be ready to discuss how you've used them in project management, particularly in backlog management and sprint planning.
