At a Glance
- Tasks: Guide enterprises in transforming their data and AI strategies with expert advice.
- Company: Join SAP SE, a leader in innovative technology solutions.
- Benefits: Competitive salary, travel opportunities, and a focus on customer success.
- Other info: Dynamic role with extensive collaboration and growth potential.
- Why this job: Make a real impact by shaping the future of data and AI for businesses.
- Qualifications: 7+ years in pre-sales or consulting and a relevant bachelor's degree.
The predicted salary is between 70000 - 105000 £ per year.
SAP SE is seeking a Data & AI Solution Advisor responsible for guiding enterprises through complex data transformation initiatives. This strategic role combines technical expertise with commercial acumen, helping clients develop clear SAP Data & AI strategies.
Ideal candidates will have over 7 years in pre-sales or consulting and a bachelor's degree in a relevant field. The role involves extensive collaboration and up to 50% travel, offering a dynamic environment focusing on customer success.
Enterprise Data & AI Strategy Advisor employer: SAP SE
At SAP SE, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Enterprise Data & AI Strategy Advisors enjoy a dynamic work environment that not only prioritises customer success but also offers extensive opportunities for professional growth and development. With a commitment to employee well-being and a focus on meaningful work, SAP SE stands out as a leader in the tech industry, making it an ideal place for those looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data & AI Strategy Advisor
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their Data & AI strategies and think of how your experience aligns with their needs. This will help you stand out as a candidate who truly gets them.
✨Tip Number 3
Practice your pitch! Be ready to explain your past experiences and how they relate to the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers and keep it engaging.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Enterprise Data & AI Strategy Advisor
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data transformation and consulting. We want to see how your skills align with the role of an Enterprise Data & AI Strategy Advisor, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and AI strategies. We love seeing candidates who can articulate their vision and how they can contribute to our clients' success.
Showcase Your Collaboration Skills:Since this role involves extensive collaboration, make sure to highlight your teamwork experiences. We want to know how you've worked with others to achieve common goals, especially in complex environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at SAP SE
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data transformation initiatives and SAP's Data & AI solutions. Be prepared to discuss specific examples from your past experience where you've successfully guided clients through similar projects.
✨Showcase Your Commercial Acumen
Since this role combines technical expertise with commercial insight, think about how you've contributed to business outcomes in previous roles. Prepare to share stories that highlight your ability to align data strategies with business goals.
✨Emphasise Collaboration Skills
This position involves extensive collaboration, so be ready to talk about how you've worked effectively with cross-functional teams. Share examples that demonstrate your ability to communicate complex ideas clearly and build strong relationships with stakeholders.
✨Prepare for Travel Discussions
With up to 50% travel involved, it's important to express your flexibility and enthusiasm for meeting clients on-site. Think about how you can manage travel while maintaining work-life balance, and be ready to discuss your approach during the interview.
