At a Glance
- Tasks: Lead large-scale data and AI transformation programmes in the financial sector.
- Company: Major consulting and technology organisation with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Open to candidates from Manager to Associate Director level.
- Why this job: Make a real impact by driving cutting-edge data and AI projects.
- Qualifications: Experience in delivering data or AI programmes and strong leadership skills.
The predicted salary is between 60000 - 80000 € per year.
We're supporting a major consulting and technology organisation delivering large-scale Data and AI transformation programmes across Financial Services. The focus is leading complex delivery programmes across data, AI, governance, transformation and enterprise change within banking environments.
What you'll be doing:
- Leading large-scale data and AI transformation programmes
- Managing cross-functional delivery teams across business and technology
- Supporting implementation, remediation and advisory projects
- Working closely with senior stakeholders and client leadership
- Translating technical requirements into business outcomes
- Driving programme delivery across modern data environments
Environment:
- Azure, AWS, GCP
- Databricks, Snowflake, Power BI
- Python, SQL
- Jira, Confluence, Agile/SaFe
- Modern data architecture and governance environments
Requirements:
- Experience delivering large-scale data or AI programmes
- Strong stakeholder and programme leadership capability
- Experience across Banking or regulated Financial Services
- Understanding of modern data platforms and AI transformation
- Strong communication, delivery and consulting skills
Open to candidates from Manager through to Associate Director level.
Data & AI Delivery Consultancy employer: Datatech Analytics
As a leading consulting and technology organisation based in London, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our employees benefit from extensive growth opportunities within the rapidly evolving fields of Data and AI, while enjoying a hybrid work model that promotes work-life balance. Join us to be part of transformative projects in the Financial Services sector, where your contributions will directly impact our clients' success and drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Delivery Consultancy
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data and AI roles. Attend meetups or webinars, and don’t be shy about asking for informational interviews – it’s a great way to get insider info and make connections.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with data transformation projects. Use platforms like GitHub to share your work on Python or SQL projects, and don’t forget to include any relevant case studies that demonstrate your impact in previous roles.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of modern data platforms and AI transformation. Be ready to discuss how you’ve led cross-functional teams and delivered successful programmes. Practice common interview questions and think about how you can translate your technical expertise into business outcomes.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals who can lead large-scale data and AI programmes. Make sure your application stands out by tailoring your CV to highlight your relevant experience in banking and regulated financial services.
We think you need these skills to ace Data & AI Delivery Consultancy
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data & AI Delivery Consultant. Highlight your experience with large-scale data and AI programmes, especially in banking or financial services. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and AI transformation. Share specific examples of your past experiences that demonstrate your leadership and stakeholder management skills. Let us know why you’re the perfect fit!
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Whether it’s Azure, AWS, Python, or SQL, make sure these skills are front and centre. We’re keen to see how you can drive programme delivery across modern data environments.
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data and AI, especially those relevant to financial services. Brush up on your knowledge of Azure, AWS, GCP, and tools like Databricks and Snowflake. Being able to discuss these confidently will show that you’re not just familiar with the concepts but can also apply them in real-world scenarios.
✨Showcase Your Leadership Skills
Since the role involves leading cross-functional teams, be prepared to share examples of how you've successfully managed teams in the past. Highlight your experience in delivering large-scale programmes and how you’ve navigated challenges. This will demonstrate your capability to lead complex delivery programmes effectively.
✨Communicate Clearly and Effectively
Strong communication is key in this role, especially when translating technical requirements into business outcomes. Practice articulating your thoughts clearly and concisely. Use examples from your previous roles to illustrate how you’ve communicated complex ideas to stakeholders at various levels.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills and decision-making process. Think about potential challenges you might encounter in a banking environment and how you would address them. This preparation will help you respond confidently and showcase your strategic thinking.
