Responsibilities
- Translate business requirements to technical solutions using strong business insight and architectural expertise to guide sales, project, and cross-functional teams
- Develop overall solution plans and strategic vision for AI and Gen AI, providing a comprehensive roadmap for clients’ needs, including risks, assumptions, and estimates end-to-end
- Build relationships with Regional Sales and Practice Leads while working with Solution Architects and Industry Leads to promote assets that services clients’ needs with the balance of costs, capability, and risk to meet clients’ business objectives
- Engage with clients’ business and technology teams in discussions to provide outstanding technical solutions to reach their business outcomes
- Support and work on Assets and Engineering projects internally to Avanade when needed to continue our differentiated approach within the market
Requirements
- Bachelor's degree in a business or technology-related field (though this is not essential to be considered for the role), or an equivalent combination of education and experience
- 3 years or more of relevant business technology leadership experience, including engineering, solutioning, delivery and direct client engagement particularly within a consultancy
- Fluency in Azure and understanding how Gen AI will impact current ways of working for Avanade and clients alike
Additional Information
- Track record of developing and growing exceptional client relationships with a reputation for delivering a 'best in class' end-to-end client experience, preferably in a business consulting (technology focus) environment
- Demonstrated experience of turning business use case and requirements to well-engineered technical solutions as a means to unlock our clients' needs and outcomes in a repeatable, scalable manner
- Applied experience in data science and engineering to solution programs and architect system integration projects using a combination of Microsoft Azure Cognitive Services, OpenAI, and Copilot Studio as well as RAG, NLP, CLU, and Agentic architecture to guide clients, colleagues, and partners
- Proven experience in communicating and presenting complex information to technical and non-technical stakeholders with strong ability to establish relationships with peers virtually, across globally dispersed teams
