Understand client’s business models and strategies and dig to the root of their challenges to provide advice on how data and AI capabilities can enhance or revolutionize their business model and create actionable solutions.
Lead cross-discipline teams of 2-20 consultants, data scientists, and engineers.
Develop Data & AI Advisory consultants in your region, ensuring they deliver high-quality work for our clients while growing in their careers and preparing for the next level of responsibility.
Sell and deliver Advisory services through strong consultative selling practices.
Guide and support the delivery of a broad range of Data, Analytics, RPA, and AI-related Strategy / Advisory engagements.
Analyze and understand trends and strategies for identifying and using appropriate approaches and solutions to meet client business, financial, and technical objectives.
Conduct detailed analyses to understand and explain client problems and utilize standard management consulting skills such as facilitation, interviewing, gap analysis, etc.
Lead the design and delivery of Data/ Business Intelligence/ AI and automation advisory engagements involving strategy, roadmap, and longer-term operating model and COE solutions.
Support the practice with depth of experience and expertise in the following domains: automation, machine learning, deep learning, advanced analytics, data science, data aggregation & visualization.
Travel as necessary to client sites and work from our Avanade office 2-3 days a week.
Requirements & Skills:
5+ years of management consulting experience from a top management or professional services firm is required.
Demonstrated experience interfacing and maintaining relationships with executive-level clients.
Previous experience working on multiple Advisory / Strategy engagements in a highly matrixed external client-facing environment, with Talent, Project, & Budget.
Demonstrable skills in analyzing and understanding a variety of problems experienced by medium to large-scale organizations from strategy to implementation.
Experience discussing a wide range of strategic imperatives across functional, operational, and technological issues.
Comprehension 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.
