At a Glance
- Tasks: Lead complex platform implementations and shape delivery strategies for enterprise clients.
- Company: Dynamic AI and data platform business with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: High-impact role with the chance to shape operational frameworks.
- Why this job: Take ownership of delivery processes and make a significant impact in a scaling business.
- Qualifications: Experience in SaaS or data platforms and strong leadership skills.
The predicted salary is between 120000 - 120000 £ per year.
We're hiring a Head of Data Platform Delivery for a growing AI and first party data platform business. This is not a PMO or traditional programme role. This is for someone who has delivered within a SaaS or data platform environment and understands how to run complex implementations across multiple enterprise clients. You will own how delivery works as the business scales, from shaping the operating model to translating commercial agreements into delivery plans, through to leading multiple live client programmes.
What you'll be doing:
- Turning Statements of Work into clear, realistic delivery plans
- Leading multiple platform implementations across enterprise clients
- Building delivery frameworks, governance and ways of working from scratch
- Aligning Engineering, Data Science and Product teams to deliver effectively
- Owning delivery risk, scope, milestones and escalation
- Deciding whether client requirements should be built into the core platform or delivered as client specific solutions
- Creating a strong feedback loop between delivery and product
What they're looking for:
- Experience delivering in SaaS, AI or data platform environments
- You've built delivery capability, not just operated within it
- Strong experience translating commercial agreements into delivery plans
- Comfortable running multiple client programmes in parallel
- Able to operate in ambiguity and take ownership in a scaling business
- Credible with both senior clients and engineering teams
- Technical understanding across data platforms, APIs, cloud or similar
If you're currently working in a platform environment and want to take ownership of how delivery is built and scaled, this is a high impact role with real scope to shape how the business operates.
Head of Platform Delivery AI & Data Platform employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Platform Delivery AI & Data Platform
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience in SaaS and data platforms aligns with their needs.
✨Tip Number 3
Showcase your delivery skills! Bring examples of how you've successfully managed complex implementations and built frameworks from scratch to the table during discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Head of Platform Delivery AI & Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience in SaaS and data platforms, and don’t forget to showcase any complex implementations you've led. We want to see how you’ve turned commercial agreements into delivery plans!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've built delivery frameworks and aligned teams in previous roles. Let us know how you can help shape our delivery model!
Showcase Your Technical Skills: Since this role requires a solid understanding of data platforms, APIs, and cloud technologies, make sure to highlight your technical skills. We want to see how you can bridge the gap between engineering and client needs, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Datatech
✨Know Your Stuff
Make sure you brush up on your knowledge of SaaS, AI, and data platforms. Be ready to discuss your past experiences in delivering complex implementations and how you've built delivery capabilities. This role is all about understanding the technical side, so don’t shy away from showcasing your expertise!
✨Prepare for Scenario Questions
Expect questions that ask you to describe how you would handle specific situations, like turning Statements of Work into delivery plans or managing multiple client programmes. Think of examples from your previous roles where you successfully navigated similar challenges and be ready to share those stories.
✨Show Your Leadership Skills
This position requires strong leadership, so be prepared to discuss how you've led teams in the past. Talk about how you’ve aligned different departments, like Engineering and Data Science, to achieve common goals. Highlight any frameworks or governance structures you've implemented to improve delivery processes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s future. Inquire about their current delivery challenges or how they envision scaling their operations. This not only demonstrates your enthusiasm but also gives you a better understanding of what they’re looking for in this role.