Snr Data and Ai Solutions Architect

Senior Data & AI Solution Architect **About the role**: As a part of the Global Data & AI Center of Excellence, and in a highly visible role, you will leverage a client-centric approach to translate our client’s business strategy into solutions and services that lead to successful business outcomes. You will be an experienced, passionate, and client-centric Senior Data & Analytics Solution Architect aligned to our Global Azure CoE, and will design Data Analytics solutions on Azure. You will serve as a functional expert on projects, contributing to use case development, assessments, technical architecture across data platform, AI & IoT initiatives and stakeholder management to ensure stakeholder satisfaction and return on investment. You demonstrate innovation and ambition to achieve performance targets and establish Avanade as a leader in Data & AI ecosystem. Within a Highly Collaborative and Entrepreneurial Environment, You Will: - Originate, develop, and grow exceptional internal and external client relationships. - Be known for your "client-centric" approach and delivery excellence. - Lead and partner across our global landscape to identify priority accounts and premier bids where our Data & AI offerings (aligned to Microsoft Azure Data & Analytics services) can deliver tangible value to our clients. - Develop overall solution plans and strategic vision for the proposed Data & AI solutions, providing a comprehensive roadmap aligned to clients’ business needs, including elements such as use case(s) definition, business case, user experience design, business process flows, functional data flow, data catalogs, technical data flows, cloud consumption estimates, delivery approach, resources plans, risks, assumptions, dependencies, etc. - Build, leverage, and maintain successful industry partnerships with our parent companies (Accenture and Microsoft), with a goal of increasing Avanade's market share in a collaborative model. - Drive Avanade Data & AI offerings in the market, effectively positioning those offerings with sales teams, channels, and target clients. - Engage with clients’ leadership and technology teams in strategic discussions to provide outstanding technical strategy and industry guidance to improve their long-term business goals. - Lead quality assurance (QA) activities from design to implementation phase of the proposed Data & AI solutions. - Provide technical leadership as a member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics. - Establish relationships with Solution Architects in other parts of the business within Avanade and Accenture and collaborate on designing standard methodologies across the company. **Experience Required for Success**: - Track record of developing and growing exceptional client relationships with a reputation for delivering a "best in class" end-to-end client experience. - A passion for driving business technology solutions. - Demonstrated people leadership, "leading by influence", and effective peer teaming expertise in large, multinational organizations with globally distributed teams. - Experience with the decision-making process and policies involved in a large and highly complex matrix organization. - Experience assessing and managing the opportunities and risks associated with large-scale complex services & consulting engagements. - Knowledge and understanding of industry-standard business practices. - Demonstrated experience in turning business use cases and requirements into technical solutions. - Applied experience in designing and solutioning programs and system integration projects that include Modern Data Platforms and AI and Advanced Analytics solutions (preferably based on Azure PaaS & SaaS), having worked in a business consulting (technology focus) environment or a combination of experience and relevant education. - Solid understanding of the value proposition(s) associated with AI, Data, PaaS, and DevOps, including business processing mapping of Data & Analytics solutions. - Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows (data pipelines). - Ability to explain complex analytical methodologies and concepts in non-technical language. - Knowledge of Lambda and Kappa architecture patterns, Master Data Management (MDM) and Data Quality tools and processes as well as DevOps processes (including CI/CD) and Infrastructure as code fundamentals. You likely possess a Bachelor's degree in a business or technology-related field, or an equivalent combination of education and experience. An advanced degree or MBA is strongly preferred, particularly technical (IT, engineering, or related). You have 15 years or more relevant business technology leadership experience, including solution sales, creation, delivery and business management, a