At a Glance
- Tasks: Lead large-scale data and AI transformation programmes in banking environments.
- Company: Major consulting and technology organisation with a focus on innovation.
- Benefits: Competitive salary, career progression, and opportunities to work with cutting-edge technologies.
- Other info: Open to candidates from Manager to Associate Director level.
- Why this job: Make a real impact by driving transformation in the financial services sector.
- Qualifications: Experience in delivering data or AI programmes and strong stakeholder management skills.
The predicted salary is between 60000 - 80000 € per year.
Data 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. Hiring across multiple levels, from Delivery Managers through to senior leadership.
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
As a leading consulting and technology organisation, 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, particularly in the Financial Services sector, while enjoying a supportive environment that values diverse perspectives and encourages professional development. Located in a vibrant area, our team enjoys access to cutting-edge resources and a network of industry leaders, making it an exceptional place to build a meaningful career.
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 & AI roles. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with data transformation programmes. Use real examples from your past work to demonstrate how you’ve led teams and delivered results.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of modern data platforms. Be ready to discuss how you can translate technical requirements into business outcomes, as this is key in our field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & AI Delivery Consultancy
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data & AI Delivery Consultancy role. Highlight your experience in managing large-scale data or AI programmes, especially within banking or financial services.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and AI transformation. Share specific examples of how you've led cross-functional teams and delivered successful projects, as this will resonate with our focus on complex delivery programmes.
Showcase Your Technical Skills:Don’t forget to mention your familiarity with modern data platforms like Azure, AWS, or GCP. If you’ve worked with tools like Databricks or Power BI, let us know! This will help us see how you can contribute to our tech-savvy environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Datatech
✨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 platforms like Azure, AWS, and GCP, as well as tools like Databricks and Snowflake. This will help you speak confidently about how you can lead transformation programmes.
✨Showcase Your Stakeholder Skills
Prepare examples that highlight your experience in managing cross-functional teams and engaging with senior stakeholders. Think about specific situations where you translated technical requirements into business outcomes. This will demonstrate your ability to bridge the gap between technology and business needs.
✨Be Agile in Your Approach
Familiarise yourself with Agile and SaFe methodologies, as these are crucial for modern data environments. Be ready to discuss how you've applied these frameworks in past projects, particularly in delivering large-scale programmes. This shows you can adapt and thrive in dynamic settings.
✨Communicate Clearly and Confidently
Strong communication is key in this role. Practice articulating complex ideas simply and clearly. During the interview, focus on being concise yet informative, ensuring you convey your delivery and consulting skills effectively. Remember, it’s not just what you say, but how you say it!
