As Data, Analytics & AI Solution Architect, you will work with clients to identify, document, and translate their business strategy and requirements into solutions and services that help our clients achieve their business outcomes using AI & Analytics. Key to this role is that the individual will be an expert in selecting the optimal architecture and delivery approach that will service clients’ needs with a balance of costs, capability, and risks to achieve the business outcomes. Based on the market demand for Data and AI solutions this role is critical for Avanade to create new business opportunities and grow existing clients. This role includes developing client roadmaps, program building, incorporating intelligent processes into existing business process, and solution planning that drives our clients desired business outcomes. The scope of solutions can include, diverse data (including IOT) and advanced analytics capabilities, such as data engineering, data modeling, machine learning, NLP, data interaction and visualization that are all powered by Microsoft Azure technologies. The successful individual will be a long-term trusted advisor to our clients to establish programs and system integration projects targeting business outcomes on a repeatable basis.
Key Role Responsibilities:
Day-to-day you will:
Translate business requirements to technical solutions leveraging strong business acumen.
Analyze current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services.
Develop overall solution plans and strategic vision for data and analytics solutions, providing a comprehensive roadmap for clients’ needs.
Provide high-level architectural expertise to sales, project and other analytics teams.
Perform key management and thought leadership role in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, text mining, data discovery, statistical methods, database design and implementation.
Define and achieve a strategic roadmap for the enterprise; including data modeling, implementation and data management for our enterprise data warehouse and advanced data analytics systems.
Identify risks, assumptions, and develop estimates end-to-end based on Solution Plans.
Build relationships with Solution Architects and collaborate on promoting solution architectural best practices across the company.
Provide solution oversight to delivery architects and teams
Key Role Skill & Capability Requirements:
Proven client experience selecting architecture that services clients’ needs with the balance of costs, capability, and risk to meet clients’ business objectives.
Demonstrated experience of turning business use case and requirements to technical solutions.
Experience in business processing mapping of data and analytics solutions.
Strong understanding of the value proposition(s) associated with AI, Data, PaaS (Azure PaaS is a plus!), and DevOps.
Experience constructing program journeys.
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
The ability to apply methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
Experience successfully solutioning digital analytics programs and system integration projects across multiple work streams and geographically dispersed teams.
People management responsibilities both directly and indirectly with globally dispersed teams.
Passion for AI.
Ability to establish relationships with peers virtually.
Able to explain complex analytical methodologies and concepts in non-technical language.
Experience design and solutioning Modern Data Platforms and solutions incorporating AI and Advanced Analytics.
Exceptional written and verbal communication and presentation skills.
Experience partnering on analytics-related sales pursuits.
Knowledge of Lambda and Kappa architecture patterns.
Knowledge of Master Data Management (MDM) and Data Quality tools and processes.
Strong team collaboration and experience working with remote teams.
Knowledge of DevOps processes (including CI/CD) and Infrastructure as code fundamentals.
Experience of leading grater than 3Mn USD deal solutions
Preferred Education Background:
You likely possess a Bachelor’s and/or Masters in a field such as Computer Science, Management Information Systems, Statistics, or Mathematics. An equivalent combination of education and experience will also suffice.
Preferred Years of Work Experience:
You likely have about 8-10+ years of applied experience solutioning programs and system integration projects that include Modern Data Platform and Advanced Analytics, preferably in a business consulting (technology focus) environment or a combination of experience and relevant education.
Preferred Years of Management Experience:
3-5+ years – good to have
Scope of Work:
Nature of Work: Directs collective work efforts to accomplish strategic goals for given portfolio of projects, programs, and/or clients.
Scope of Work: Translates high-level strategy into more localized strategy and operational objectives.
Complexity: Highly complex problems, often requiring analysis of near-intangible factors, creative solutioning and significant networking to succeed.
Discretion: Authority to establish standards and shift the overall direction of projects and programs in response to the functional strategy.
Organizational Impact: Work efforts are typically strategic in nature, and may have a lasting, long-term impact on Avanade and/or client operations and strategic direction. If client-facing, the focus would be on driving client-relationship and sales outcomes.
Supervision Received: Operates with extreme latitude in determining focus and approach to work objectives.
Supervision Provided: Mentors and manages work efforts of more junior colleagues and team members as required by various workstreams; may formally supervise work of project teams. If managing team(s) of more junior employees full-time, then refer to the People & Business Leadership leveling criteria. Often serves as Career Advisor.
Knowledge Applied: Applies expert knowledge of a learned occupation/discipline and demonstrable, broad knowledge of business operations and organizational strategy.
Accountabilities & Metrics: