Enterprise Data and AI Strategy Consultant

Position Overview

Wipfli is seeking a Enterprise Data & AI Strategy Consultant to join our Enterprise Data practice and help organizations transform the way they leverage data, analytics, and emerging AI technologies. This role is ideal for a technology consulting professional who enjoys translating business challenges into practical data and technology solutions.

Responsibilities

• Partner with clients to assess business challenges, define data and AI strategies, and develop roadmaps that support organizational goals.
• Lead client-facing engagements focused on data architecture, analytics, governance, modernization, and emerging AI solutions.
• Guide solution design and delivery efforts by collaborating with consultants, engineers, and architects to implement scalable data and analytics solutions.
• Serve as a trusted advisor to client stakeholders, presenting recommendations, facilitating strategic discussions, and helping drive technology decisions.
• Provide technical leadership through project planning, solution reviews, mentoring, and support of best practices across the Enterprise Data team.
• Contribute to practice growth through innovation, presales support, thought leadership, and continuous learning in modern data and AI technologies.

Required Qualifications

• Bachelor's degree in Information Technology, Computer Science, Data Analytics, Business, or related field, or equivalent professional experience.
• 7+ years of experience within a consulting, professional services, or enterprise technology environment.
• Experience leading client-facing technology, data, analytics, or digital transformation engagements.
• Strong ability to communicate complex technical concepts to both business and technical stakeholders.
• Demonstrated experience guiding strategy discussions and helping clients make technology decisions.
• Strong problem-solving and relationship-building skills.

Preferred Experience

• Experience working with Microsoft Fabric, Snowflake, Azure, Databricks, or similar modern cloud data platforms.
• Experience with enterprise data management, data warehousing, analytics, or business intelligence solutions.
• Exposure to AI-enabled business solutions, data agents, copilots, or emerging generative AI technologies.
• Experience developing data governance, analytics, or modernization roadmaps.
• Professional certifications related to cloud platforms, analytics, or data technologies.