At a Glance
- Tasks: Lead AI transformation initiatives and develop tailored strategies for diverse industries.
- Company: Join EY, a global leader in consulting and technology innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and ethical AI practices.
- Why this job: Shape the future of AI while making a real impact on businesses worldwide.
- Qualifications: STEM degree and experience in delivering enterprise-level AI strategies.
The predicted salary is between 70000 - 90000 € per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise.
Your client impact:- Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors.
- Bring current global thinking and trends in the AI, Automation and Data space including within EY.
- Carry out in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation.
- Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy.
- Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation).
- Lead cross-functional workshops and design sessions with senior stakeholders to influence and align diverse stakeholder groups around a unified AI vision.
- Present complex AI concepts and recommendations to senior leadership audiences.
- Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness.
- Contribute to solution development and oversee quality of proposals for AI-led transformation.
- Provide mentorship and guidance to team members and develop reusable assets.
- Support change management initiatives to embed AI-driven and automation-enabled culture across client organisations.
- Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks.
- Support internal processes to approve designs and proposals that have integrity and are commercially sound.
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field.
- Demonstrated experience of delivering enterprise-level AI strategies for complex or multinational organisations.
- Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences.
- Able to oversee the design of operating models and organisational structures for data and AI functions.
- Able to lead the interaction with client organisations to write business or investment cases.
- Good understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP.
- Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA.
- Knowledge of AI governance frameworks, model risk management, and regulatory requirements.
- Team leadership and coaching skills.
- Communication and presentation skills.
- Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders.
- Demonstrated ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists).
- Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment.
- Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value.
- Experience with Big 4 consulting methodologies and framework.
- Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies).
Senior Manager, AI & Data, Data Strategist, TC UKI employer: EY Société d'Avocats
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Manager in AI & Data, you will benefit from unparalleled professional development opportunities, mentorship from industry leaders, and the chance to work on transformative projects across diverse sectors. Our commitment to ethical practices and innovation ensures that you will be part of a team dedicated to building a better working world while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, AI & Data, Data Strategist, TC UKI
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at EY or similar firms. A friendly chat can lead to insider info about job openings and even referrals that could give you a leg up.
✨Tip Number 2
Prepare for interviews by diving deep into AI and data trends. Brush up on the latest technologies and be ready to discuss how they can drive business value. We want to see you shine with your knowledge!
✨Tip Number 3
Showcase your leadership skills! Be ready to share examples of how you've led teams or projects in the past. We love seeing candidates who can inspire and guide others, especially in complex environments.
✨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, it shows you’re serious about joining us at EY and making an impact.
We think you need these skills to ace Senior Manager, AI & Data, Data Strategist, TC UKI
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Manager, AI & Data role. Highlight your experience in AI strategies and how it aligns with EY's mission to build a better working world.
Showcase Your Expertise:Don’t hold back on showcasing your knowledge of AI technologies and industry-specific insights. We want to see how you can bring value to our clients across various sectors like healthcare and retail.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain complex concepts, as this reflects your ability to communicate effectively with senior stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves and helps us streamline the process!
How to prepare for a job interview at EY Société d'Avocats
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and data strategies. Be ready to discuss how these can be applied across various industries like healthcare or retail. Show them you’re not just familiar with the tech, but that you can translate it into real business value.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to lead teams and influence stakeholders. Prepare examples of how you've successfully managed cross-functional teams or led workshops. Highlight your ability to mentor others and drive change within an organisation.
✨Tailor Your Approach
Research EY’s values and recent projects. Think about how your experience aligns with their mission to build a better working world. Be ready to discuss specific AI initiatives you've led and how they could relate to EY's goals.
✨Prepare for Complex Conversations
You’ll likely need to present complex AI concepts to senior leadership. Practice explaining technical ideas in simple terms. Use examples from your past work to illustrate how these concepts can drive business outcomes, making sure to connect them back to the client’s needs.
