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- Tasks: Lead data consultancy and strategy, implementing tech solutions for businesses.
- Company: Join a forward-thinking company focused on Data and AI innovation.
- Benefits: Enjoy flexible work options and access to cutting-edge tools.
- Why this job: Be at the forefront of AI strategy, making a real impact in businesses.
- Qualifications: Experience in data strategy, SQL, Python, and business development is essential.
- Other info: Opportunity to work on industry-specific use cases and develop valuable IP.
The predicted salary is between 43200 - 72000 £ per year.
Skill: Data consultancy and strategy; Strategy implementation of tech; Helping business with BD for data and AI necessity; Value strategy; Data science tools (SQL, python); Augmented insights tools (Power BI); E2E solutioning - ability to turn ecosystem plays into client value - use-case mapping - IP Development; Accelerators for industry use-cases.
Data & AI Strategy Development: Formulating strategies for AI and GenAI implementation, identifying key use cases, and outlining actionable roadmaps.
Target Operating Models: Designing operating models that integrate Data and AI capabilities, ensuring alignment with organizational objectives and fostering a Data & AI-driven culture.
Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights.
Data & AI Business Strategy Manager employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Business Strategy Manager
✨Tip Number 1
Familiarise yourself with the latest trends in Data and AI strategy. Understanding current market demands and emerging technologies will help you speak confidently about how you can contribute to our goals at StudySmarter.
✨Tip Number 2
Network with professionals in the data consultancy field. Attend industry events or webinars to connect with others who are already working in this space, as they can provide valuable insights and potentially refer you to opportunities.
✨Tip Number 3
Prepare to discuss specific use cases where you've successfully implemented data strategies in the past. Being able to share concrete examples will demonstrate your expertise and how you can add value to our team.
✨Tip Number 4
Stay updated on tools like SQL, Python, and Power BI. Having hands-on experience with these technologies will not only enhance your skill set but also show us that you're ready to hit the ground running in this role.
We think you need these skills to ace Data & AI Business Strategy Manager
Some tips for your application 🫡
Understand the Role: Take time to thoroughly understand the responsibilities and skills required for the Data & AI Business Strategy Manager position. Familiarise yourself with data consultancy, strategy implementation, and the specific tools mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in data consultancy, strategy development, and the use of tools like SQL, Python, and Power BI. Make sure to showcase any previous work that aligns with the key responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also demonstrates your understanding of how to formulate strategies for AI and GenAI implementation. Include specific examples of how you've successfully turned ecosystem plays into client value in the past.
Showcase Your Analytical Skills: In your application, emphasise your ability to craft business cases and articulate the ROI of Data and AI initiatives. Provide examples of market analysis or stakeholder insights you've used to support your strategies, as this will resonate well with the hiring team.
How to prepare for a job interview at Accenture
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in data science tools like SQL and Python. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on experience.
✨Understand the Business Value
Be ready to articulate how data and AI can drive business value. Prepare examples of how you've helped businesses identify their data needs and implement strategies that align with their objectives.
✨Demonstrate Strategic Thinking
During the interview, focus on your ability to formulate actionable strategies for AI and GenAI implementation. Discuss your experience in designing target operating models and how they can foster a data-driven culture within an organisation.
✨Prepare for Use-Case Mapping
Familiarise yourself with use-case mapping and be prepared to discuss how you would approach identifying key use cases for data and AI initiatives. This will show your understanding of turning ecosystem plays into client value.
