SAP Ai Value Engineer
Il y a 5 mois
**We help the world run better**
**SUMMARY**
**THE ROLE**
- Collaborate with the AI team to identify critical business problems where AI solutions can provide significant value, considering the organization's strategic goals and industry trends.
- Work closely with AI experts to develop AI-based solutions which align with the business objectives and have a clear value proposition for stakeholders.
- Perform cost-benefit analyses and develop ROI projections for AI services.
- Effectively communicate the business value of AI services to key stakeholders,, using clear and concise language, visual aids, and success stories to build support and buy-in.
- Establish measurable performance indicators for AI services that directly link to business value
- Support the implementation of AI services by developing change management strategies to ensure a smooth transition and maximisation of the value derived from AI solutions.
- Monitor the business performance of AI services post-implementation and collaborate with the AI team to identify areas for improvement to further enhance their business value and drive long-term success.
**EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES**
- Strong foundation in machine learning, deep learning, natural language processing, and familiarity with AI frameworks (e.g PyTorch) and programming languages (e.g., Python) is essential.
- 3-8 years of industry experience in value engineering using value engineering methodologies
- Proficiency in data manipulation, analysis, and visualization.
- Understanding of business processes, financial analysis, and ROI calculations.
- Ability to work closely with stakeholders, experience managing projects and coordinating resources.
- Strong interpersonal skills and ability to present complex concepts and results in a clear, concise, and persuasive manner.
- Creative and analytical mindset
- Commitment to staying up to date with the latest AI advancements, tools, and techniques.
- Awareness of ethical considerations and compliance requirements related to AI deployment, including data privacy, security, and responsible AI practices.
**TEAM/LINE OF BUSINESS**
As Customer eXperience & Solutions (CXS) team, we develop products & solutions that enable digital transformation for our customers.
The CXS Service and Support Data Lake team belongs to the Product Engineering (PE) board area.
Our team focuses on development of AI based services for SAP customers as well as SAP employees working in Services and Support.
SAPCXS
**We build breakthroughs together**
**We win with inclusion**
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
**EOE AA M/F/Vet/Disability**:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Requisition ID: 375439 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
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