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For Companies 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 solutions.
- Benefits: Competitive salary, professional development, and opportunities to work with top-tier clients.
- Why this job: Shape the future of AI and make a real impact across multiple sectors.
- Qualifications: 8 years of experience in AI/ML strategy and strong stakeholder management skills.
- Other info: Dynamic role with excellent growth potential in a rapidly evolving field.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an exceptional AI and Data Strategy Manager to shape and deliver enterprise-wide AI transformation initiatives across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organizational frameworks needed to become an AI-first enterprise.
Your impact:
- Define comprehensive AI and data strategies tailored to client organizations across consumer products, retail, health, energy, and life sciences sectors.
- Conduct 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 organizational AI maturity and create tailored roadmaps for transformation including operating models, organisational structure and capabilities required to deliver the strategy.
- Define high-level business and technology architectures that enable scalable AI deployment.
- 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 board-level audiences.
- Prioritize AI initiatives based on strategic value, feasibility, and organizational readiness.
Required Qualifications:
- 8 years of professional experience with at least 2 years in AI/ML strategy, data strategy, or digital transformation consulting.
- Proven track record of delivering enterprise-level AI strategies for Fortune 500 or equivalent organizations.
- Deep expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences.
- Experience in designing operating models and organizational structures for data and AI functions.
- Strong understanding of AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP.
- Knowledge of modern data architectures, cloud platforms, and AI infrastructure.
- Familiarity with AI governance frameworks, model risk management, and regulatory requirements.
- Strategic thinking with demonstrated ability to translate complex technical concepts into business language.
- Proven communication and presentation skills.
- Proven stakeholder management skills with excellent facilitation and workshop design capabilities.
Preferred Qualifications:
- MBA or advanced degree in Computer Science, Data Science, Engineering, or related field.
- Certification in relevant areas (e.g., cloud platforms, data governance, AI ethics).
- Experience with Big 4 consulting methodologies and framework.
- Continuous learning mindset to stay ahead of rapidly evolving AI landscape.
Manager, AI & Data, Data Strategist in Manchester employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, AI & Data, Data Strategist in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space, especially those who work at EY or similar firms. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio of your past projects related to AI strategies and data transformation. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing complex AI concepts in simple terms. You’ll need to present these ideas to board-level audiences, so rehearse your pitch until it flows naturally.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Manager, AI & Data, Data Strategist in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI & Data Strategist role. Highlight your experience in AI/ML strategy and how it aligns with the job description. We want to see how you can bring value to our team!
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made in previous roles. Use specific examples of how you've driven revenue growth or operational efficiency through AI initiatives. This will help us understand your potential contribution.
Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication that gets to the heart of your qualifications and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application is seen by the right people and helps us streamline the process. Plus, it’s super easy to do!
How to prepare for a job interview at hackajob
✨Know Your AI and Data Inside Out
Make sure you brush up on the latest trends and technologies in AI and data strategy. Be ready to discuss specific use cases and how they can drive value in industries like retail or healthcare. This shows you're not just knowledgeable but also passionate about the field.
✨Tailor Your Examples
When discussing your experience, tailor your examples to align with the job description. Highlight your past successes in delivering AI strategies for large organisations, especially in sectors relevant to the role. This will demonstrate your ability to translate complex concepts into actionable business strategies.
✨Engage with Stakeholders
Prepare to discuss how you've led cross-functional workshops or influenced senior stakeholders in previous roles. Share specific instances where you aligned diverse groups around a unified vision. This will showcase your communication skills and stakeholder management abilities.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking insightful questions about the company's AI initiatives or their approach to data governance. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
