At a Glance
- Tasks: Lead transformative Data & AI projects for top UK banks and drive impactful change.
- Company: Join a leading consulting firm at the forefront of Data & AI innovation.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a high-growth team shaping the future of banking through data transformation.
- Why this job: Make a real difference in financial services with cutting-edge technology and data solutions.
- Qualifications: Experience in data, analytics, or AI programmes; strong leadership and stakeholder management skills.
The predicted salary is between 60000 - 80000 £ per year.
We're supporting a leading consulting and technology organisation as it continues to expand its Data & AI practice within Financial Services. This team is helping some of the UK's largest banking organisations deliver complex transformation programmes across data, AI, governance, risk and enterprise change.
What you'll be doing:
- Leading large-scale Data & AI transformation programmes
- Driving delivery across business, technology and operational teams
- Managing complex stakeholder environments, including senior client leadership
- Supporting strategic transformation, regulatory remediation and data-driven change initiatives
- Turning technical capability into measurable business outcomes
- Helping organisations modernise data platforms, governance and AI capabilities
Technology & Delivery Environment:
- Azure, AWS, GCP
- Databricks, Snowflake, Power BI
- Python, SQL
- Agile, Jira, Confluence, SAFe
- Modern Data, AI and Governance Platforms
We're interested in people who have:
- Experience leading enterprise-scale data, analytics or AI programmes
- Strong programme leadership and stakeholder management skills
- A background within Banking or regulated Financial Services is preferred
- Exposure to modern data platforms, cloud technologies and AI initiatives
- Consulting experience and the ability to operate in complex client environments
This is an opportunity to join a high-growth practice working at the forefront of Data & AI transformation across Financial Services.
Data & AI Delivery Consultant in Slough employer: Datatech Analytics
Join a dynamic and innovative consulting and technology organisation that is at the forefront of Data & AI transformation within Financial Services. With a strong focus on employee growth, we offer extensive training and development opportunities, a collaborative work culture, and the chance to lead impactful projects with some of the UK's largest banking institutions. Our hybrid working model allows for flexibility while being part of a high-growth practice that values your contributions and fosters a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Delivery Consultant in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data & AI Delivery Consultant role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data and AI. We recommend practising common interview questions and scenarios related to programme management and stakeholder engagement to show you’re ready to hit the ground running.
✨Tip Number 3
Showcase your experience with real-world examples! When discussing your background, highlight specific projects where you led data transformation or AI initiatives. We want to see how you turned challenges into successes, especially in complex environments like banking.
✨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 and genuinely interested in joining our team.
We think you need these skills to ace Data & AI Delivery Consultant in Slough
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 data transformation programmes and any relevant technologies like Azure or AWS. We want to see how your background fits into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about Data & AI in Financial Services. Share specific examples of your programme leadership and stakeholder management skills that align with what we’re looking for.
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Whether it's Python, SQL, or your experience with modern data platforms, we want to know how you can turn technical capabilities into business outcomes. Be specific!
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 updates. Plus, it’s super easy!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data & AI Stuff
Make sure you brush up on the latest trends in data and AI, especially within financial services. Be ready to discuss how you've led similar transformation programmes and the impact they had. This shows you're not just familiar with the tech but can also translate it into business outcomes.
✨Stakeholder Management is Key
Prepare examples of how you've successfully managed complex stakeholder environments. Think about times when you had to navigate tricky client relationships or senior leadership expectations. This will demonstrate your programme leadership skills and ability to drive delivery across teams.
✨Get Comfortable with Tech Tools
Familiarise yourself with the technologies mentioned in the job description, like Azure, AWS, Databricks, and Snowflake. If you can speak confidently about how you've used these tools in past projects, it’ll show you’re ready to hit the ground running.
✨Show Your Consulting Experience
Be prepared to discuss your consulting background and how it relates to the role. Highlight specific projects where you’ve operated in complex client environments, particularly in banking or regulated financial services. This will help you stand out as a candidate who understands the nuances of the industry.
