Job Details

Data AI Analytics Group Manager, Advisory

Minneapolis, Minnesota, United States

Avanade is seeking Manager to expand its Data/AI/Analytics Advisory capabilities. You will support engagements advising clients at the highest strategic level with big-picture and tactical guidance on how technology enables a wide range of business outcomes. You must possess exception analytical, interpersonal and creative thinking capabilities. You will need to be entrepreneurial, enterprising and personable, possessing exceptional leadership qualities, that allows you to assume a critical role in the Advisory Practice with an ability to scale over time. The work youre doing in this role will be of a Strategic nature rather than a software or technology architecture deliverable.
Key Role Responsibilities:
Operating with senior client executives (C-levels, VPs, Directors), you will assist our clients in successfully defining their Data and Analytics/Artificial Intelligence Strategy, Transformation Initiatives, Investments and Operating Models to support their business priorities.
You will target initiatives to specific industries domains and at driving business value now and solving our client's challenges by virtue of intelligent AI and sophisticated analytics techniques to realize the promise of building an intelligent business eco-system.
As a successful Manager, you will:

Support the delivery of a broad range of Data, Analytics, Advanced Analytics, Visualization, Data Science, RPA and AI related Strategy/Advisory engagements
Possess deep understanding of trends and strategies for identifying and bringing to bear appropriate approaches and solutions to meet client business, financial and technical objectives
Conduct detailed analyses to understand and explain client problems and utilize standard consulting leadership skills such as facilitation, interviewing, gap analysis, etc.
Lead the design and delivery of Data/Business Intelligence/AI and automation solutions advisory engagements involving strategy, roadmap and longer-term COE models (Operating models)
Conduct quick value discovery engagements in Data & AI to identify applicable industry use-cases, help clients understand the effort, potential benefits, and develop an opportunity prioritization matrix
Lead strategy engagements to create clear and strategic roadmaps and supporting business cases that both delineate a broader end-game, while also prioritizing quick wins with near-term measurable impact
Demonstrate thought leadership to advise clients on Data/Analytics, AI as well as automation strategy and detailed use cases development by industry
Actively contribute to the creation of client proposals for consulting and/or transformation engagements focused on Data/Analytics/AI and automation
Monitor technology trends and raise awareness of capabilities and innovations in selected domains of expertise and contribute towards industry specific offerings

Required Skills & Experience:

6+ of Management Consulting experience from a top management or professional services firm
Demonstrated experience interfacing with executive level clients
Willingness to travel 80% domestically
Previous experience working on multiple Advisory/Strategy engagements in a highly matrixed external client facing environment, with Talent & Project & Budget Management responsibilities
Superb communication, presentation and facilitation skills
Aptitude for critical and analytical thinking as well as the capacity to accept out-of-the box solutions
Autonomous, positive problem solver, and aptitude to work independently or part of a multi-disciplinary team
Practical Business Architecture experience (business/operation models, personas, process modelling)
Knowledge of the Data/Analytics strategy and COE definition; AND/OR;
Understanding of the Artificial Intelligence space, and the ethical themes for AI such as usage and effectiveness, fairness, transparency, or privacy
's in related field, preferred

Preferred Experience and Skills:
The following skills and capabilities are central to the role, depending on Service Area expertise:

Cross-sector and functional experience highly desirable (Financial Services/Healthcare/Life Sciences/Manufacturing/Utilities/Media/Communications/Supply Chain/Business Applications)
Best of Breed Working methodologies (Agile, DevOps)
Data, Analytics and AI Strategy, Maturity assessment & Roadmap (using Microsoft technologies)
RPA/Automation Strategy & Roadmap
COE Setup and Operationalization Plan (Analytics, RPA, AI)
Process Re-Engineering, Transformation and Adoption
Sound knowledge in Strategy development involving areas such as Data Architecture, Data Hubbing/Integration, Data Modeling, Data Governance & Management, Data Quality, Data Security, Reporting & Analytics, BI Governance, BI Self-Service; AND/OR
Natural Language Processing, Image Recognition, Voice Recognition, Robotics, Automation, Knowledge Graphs & Semantic Search, Genetic/Evolutionary Algorithms, Chatbots & Intelligent Virtual Agents, Recommender Systems, Fuzzy Logics

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