Data Modernization Project Manager
Data Modernization Project Manager
Join our dynamic team as a Project Manager, leading the innovative deployment of Microsoft Fabric within a critical data modernization initiative. This is a unique opportunity to shape the future of data infrastructure in a fast-paced, multi-vendor setting, working on high-impact projects that set the foundation for enterprise-wide data capabilities. Based in Chicago with flexible onsite requirements, this role offers the chance to make a significant impact through strategic project leadership and technical expertise.
Strong background in managing projects related to data architecture, data warehouses, and/or data lakes—particularly at the big data/platform level
Proven project management leadership, capable of driving timelines, communicating effectively, and offering strategic guidance
Experience navigating multi-vendor/consultant environments, managing cross-team collaborations
Excellent stakeholder management and problem-solving skills
Ability to operate confidently in a complex technology landscape
Nice to Have Skills:
Experience with Microsoft Fabric
Exposure to legal, regulatory, or other highly regulated data environments
Familiarity with data integration and migration strategies
Preferred Education and Experience:
Bachelor’s degree or higher in Computer Science, Information Technology, or related field
Prior experience managing data modernization or cloud migration projects
Demonstrated success in leading large-scale, multi-party technical initiatives
Other Requirements:
Willingness to work onsite in Chicago 3 days per week
Ability to collaborate effectively with vendors
Prior experience in legal or regulated industries is a plus
Key Details:
Compensation: $70-$80 per hour
Benefits: LaSalle Network consultants are eligible to enroll in benefits. For details, visit
Location: Chicago
Work Model: Hybrid (3 days per week in office)
Take the lead in transforming enterprise data ecosystems—apply now to become a vital part of this groundbreaking project and help shape the future of data.
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