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For Companies At a Glance
- Tasks: Lead data consultancy and strategy, implementing tech solutions for business growth.
- Company: Join a forward-thinking company focused on Data and AI innovation.
- Benefits: Enjoy flexible working options and access to cutting-edge tools.
- Why this job: Be part of a dynamic team shaping the future of AI and data strategies.
- Qualifications: Experience in data consultancy, strategy implementation, and familiarity with SQL and Python required.
- Other info: Opportunity to work on impactful projects that drive real change.
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. Understanding current technologies and methodologies will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the Data and AI space. Attend industry events, webinars, or local meetups to connect with others and gain insights into what companies like us are looking for in candidates.
✨Tip Number 3
Prepare to discuss specific use cases where you've successfully implemented data strategies or tools. Real-world examples can set you apart and show how you can add value to our team.
✨Tip Number 4
Stay updated on business case development techniques. Being able to articulate the ROI of Data and AI initiatives will be crucial in demonstrating your strategic thinking during discussions with us.
We think you need these skills to ace Data & AI Business Strategy Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data consultancy, strategy implementation, and business development for data and AI. Use specific examples that demonstrate your skills with SQL, Python, and tools like Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Data & AI strategy development. Discuss how your previous experiences align with the job requirements, particularly in formulating strategies and designing target operating models.
Showcase Your Technical Skills: Clearly outline your proficiency in data science tools and augmented insights tools. Mention any projects where you successfully implemented these technologies to drive business value.
Highlight Business Case Development: Include examples of business cases you've crafted that articulate the ROI of Data and AI initiatives. This will demonstrate your ability to support market analysis and stakeholder insights effectively.
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 develop strategies that align with their objectives.
✨Familiarise Yourself with Use-Case Mapping
Since the role involves E2E solutioning and use-case mapping, brush up on your ability to translate complex data ecosystems into actionable insights. Think of examples where you've successfully mapped out use cases for clients.
✨Prepare for Strategic Discussions
Expect questions around strategy implementation and target operating models. Be ready to discuss how you've designed operating models that integrate data and AI capabilities, ensuring they align with organisational goals.
