Top Consulting Jobs in Minneapolis–Saint Paul, MN

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

The Marketing Specialist will enhance GoFasti's brand presence through marketing strategies, manage content creation and social media, oversee executive branding, optimize marketing funnels, and leverage AI for innovation across platforms.

The PostgreSQL Technical Solution Architect will lead architectural design, manage database lifecycle, optimize performance, troubleshoot issues, and guide customer engagements while mentoring junior staff.

Lead and grow a national major gifts program: manage and coach fundraisers, cultivate and solicit donors giving $25,000+, maintain donor strategies and revenue projections, develop complex and planned gifts, partner across teams for prospecting, reporting, and mission-aligned fundraising.

The Senior Account Executive will manage and grow customer portfolios through consultative selling in various IT service areas, leveraging CRM tools and engaging resources to maximize business opportunities.

Manage inbound client relationships and qualification, conduct discovery calls, coordinate technical consultations, maintain pipeline in Zoho CRM, manage proposals and contracts, support retainer growth and renewals, liaise with technical teams, and drive client retention and upsell opportunities in a remote, relationship-focused role.

As a GTM Architect, you will drive client engagements, develop go-to-market strategies, manage projects, and collaborate with teams to optimize GTM operations.

Lead full NetSuite implementations, consult on business improvements, manage engagements, train clients, and collaborate on custom solutions.

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.

The AI-Enhanced Virtual Assistant will support AI integration, administrative tasks, communication management, project coordination, and client interaction to enhance operational efficiency.