At a Glance
- Tasks: Lead complex data projects from strategy to execution, enhancing client capabilities.
- Company: Join EY's growing AI & Data team, making a global impact in financial services.
- Benefits: Enjoy opportunities for mentorship, training, and building high-performing teams.
- Why this job: Be part of a dynamic team driving innovation in data solutions and analytics.
- Qualifications: Experience in financial services and advanced knowledge in data architecture and cloud technologies required.
- Other info: Ideal for motivated individuals passionate about data-driven transformations.
The predicted salary is between 72000 - 108000 £ per year.
The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for exceptional Senior Manager level consultants with strong experience in AI & Data solution design and implementation to join our team and drive continued growth and success on a global scale.
The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in the following core areas which all work closely together:
- Data Architecture & Engineering - Focusing on next generation data solution architecture design and implementation
- Data Management & Data Strategy - Supporting our clients with Data Strategy, Data Governance, Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions
Your key responsibilities include:
- Lead large and complex projects (Data transformation, Data Analytics, Data strategy) from strategy to execution.
- Effectively leverage your knowledge and experience to support the delivery of key Data and AI projects, nurture valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues.
- Contribute to our Data and AI solution design and implementation expertise bringing expertise around cloud based data and analytics solution design and implementation combined with a deep understanding of sector domain, processes and data.
- Build and lead high performing teams, coaching, mentoring and serving as a role model for our people.
- Business development; including the development of long-term trusted advisor relationships with our clients.
Skills and attributes for success:
- We are looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes for customers, regulators and shareholders.
- You should have advanced problem-solving skills and the ability to communicate complex ideas effectively, both verbally and in writing.
To qualify for the role you must have some or all of the following:
- Previous FS experience in one or multiple sectors across: Banking, Capital Markets, Insurance and Wealth and Asset Management, preferably Insurance.
- Advanced knowledge in at least one of our core capabilities of: Data Architecture & Data Engineering, Advanced Analytics, Cloud Architectures and Tooling, Data Management, Data Strategy, Data Governance and Data Quality.
- Demonstrable experience of complex data programmes.
- Expert level knowledge of the data requirements and design issues associated with the delivery of data projects.
- Excellent leadership and interpersonal skills with demonstrable experience of building high performing teams and nurturing talent.
- Experience with cloud data platforms such as Google Cloud Platform.
- Proficiency in GCP architecture, including fundamental data warehousing and data sharing concepts.
- Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients.
- Ability to successfully deliver multiple engagements, exceed client expectations, manage commercial aspects (e.g. contracts, billing and budgets), and manage quality and risk.
- Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered.
What we look for:
We are looking for highly motivated individuals who are passionate about Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI and Data team is looking forward to hearing from you.
Senior Manager - Google Cloud Platform Architect /Delivery Lead | London, UK employer: Ernst & Young
Contact Detail:
Ernst & Young Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager - Google Cloud Platform Architect /Delivery Lead | London, UK
✨Tip Number 1
Network with professionals in the AI and Data field, especially those who have experience with Google Cloud Platform. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends and challenges in the sector.
✨Tip Number 2
Familiarise yourself with the specific data architecture and engineering practices that are prevalent in financial services. Understanding the unique challenges faced by this sector will help you demonstrate your expertise during interviews.
✨Tip Number 3
Showcase your leadership skills by volunteering for projects or initiatives that allow you to lead teams or mentor others. This experience will be invaluable when discussing your ability to build high-performing teams in your future role.
✨Tip Number 4
Stay updated on the latest certifications and training related to Google Cloud Platform and data management. Having relevant certifications can set you apart from other candidates and show your commitment to professional development.
We think you need these skills to ace Senior Manager - Google Cloud Platform Architect /Delivery Lead | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI & Data solution design and implementation. Emphasise your previous roles in financial services and any specific projects that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data technology solutions. Discuss how your skills and experiences make you a perfect fit for leading complex data transformation projects, and mention your familiarity with Google Cloud Platform.
Highlight Leadership Experience: Since the role requires building and leading high-performing teams, be sure to include examples of your leadership experience. Describe situations where you coached or mentored team members and how you contributed to their professional growth.
Showcase Communication Skills: Given the importance of communication in this role, provide examples of how you've effectively communicated complex ideas to both technical and non-technical stakeholders. This could include presentations, reports, or client interactions.
How to prepare for a job interview at Ernst & Young
✨Showcase Your Technical Expertise
Make sure to highlight your advanced knowledge in data architecture, engineering, and cloud technologies, especially Google Cloud Platform. Be prepared to discuss specific projects where you've successfully implemented these solutions.
✨Demonstrate Leadership Skills
As a Senior Manager, you'll need to lead high-performing teams. Share examples of how you've coached and mentored team members in the past, and how you foster collaboration and innovation within your teams.
✨Prepare for Business Development Questions
Expect questions about your experience in developing long-term client relationships and leading RFP responses. Have concrete examples ready that demonstrate your ability to build trust and deliver value to clients.
✨Communicate Complex Ideas Clearly
You’ll need to convey complex data concepts to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact and outcomes rather than just the technical details.