What you will do:
- Regional Customer Nominations & CXO Engagement: You will play a crucial role in dealing with regional customer nominations and engaging with CXOs to drive Innovation & AI adoption
- Incubating new/upcoming and on-the-horizon Innovation technologies including Business AI, Agentic AI, etc. and infusing them with Industry Business Processes for building our Innovation Strategy for customer adoption.
- You will promote Innovation, Agentic AI, and other upcoming technologies across the organisation and among customers by demonstrating their value and potential impact on Business. This will involve building the first MVP concepts and working with the product teams to identify and define their usage for SAP S/4HANA customers.
- Engaging with industry forums, conferences, and thought leadership platforms to share insights and advancements in upcoming Innovation & Business AI / Gen AI technologies, e.g Knowledge Graphs, Agentic AI and Data oriented tech through a cross-over with Industries & loB Business processes
- Define and invent industry-first solutions with Innovation, Gen AI / Business AI across the SAP domain, including migrations.
- The candidate will collaborate with cross-functional teams, including software engineers, and business stakeholders, to align Innovation initiatives with organisational goals.
Key Responsibilities:
Innovation Strategy Development:
- Collaborate with customers to understand their business needs and develop tailored Innovation strategies for business transformation.
- Provide expert guidance on implementing generative AI technologies to enhance business processes and outcomes.
- Stay abreast of the latest trends and advancements in AI to ensure our strategies remain cutting-edge.
Technology Evaluation:
- Evaluate emerging technologies, frameworks, and tools to assess their suitability and potential impact on the group’s Innovation & AI capabilities.
Innovation Solution Design:
- Collaborate with data scientists, software engineers, and domain experts to design end-to-end AI solutions that align with business requirements, ensuring scalability, performance, and maintainability.
Data Architecture:
- Define the data architecture, pipelines, and integration strategies required to support AI initiatives, including data ingestion, storage, transformation, and retrieval.
- goals and meet performance, accuracy, and interpretability requirements.
Team Leadership and Collaboration:
- Support a team of Techno-functional Industry experts and engineers, providing technical guidance, mentorship, and fostering collaboration across teams to achieve successful AI solution deployments.
Industry Knowledge and Innovation:
- Stay abreast of the latest trends, advancements, and best practices in AI, actively seeking opportunities to drive innovation and introduce new AI capabilities to the organization.
- Represent the company as an industry thought leader at conferences, webinars, and industry events.
- Contribute to the development of white papers, case studies, and other thought leadership content.
- Drive innovation by identifying new Innovation use cases and opportunities for business transformation.
Qualifications:
Extensive experience in designing and architecting techno-functional solutions in AI, Innovation, and upcoming technologies, with a strong understanding of machine learning, deep learning, and data analytics techniques.
Minimum of 20+ years of experience in various business and industry domains at a global level, with a strong focus on Innovation, AI and digital transformation.
Skills:
- Strong strategic thinking and problem-solving skills.
- Excellent communication and presentation abilities.
- Proven ability to build and execute complex AI strategies.
- Experience in developing and managing industry-specific GTM and portfolio strategies.
- Strong relationship-building and customer engagement skills.
Leadership:Demonstrated leadership experience with the ability to influence and drive change across organisations.