AI & Engineering Strategy & Transformation Consultant

Deloitte France

Minneapolis (MN)

On-site

USD 87,000 - 171,000

Full time

4 days ago

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Job summary

Deloitte is seeking a Consultant in AI & Engineering—Engineering-as-a-Service—to drive end-to-end IT transformation for major clients, focusing on innovation, resiliency, and operational excellence. You will collaborate with cross-functional teams to design and optimize DevOps toolchains (GitLab, Artifactory, SonarQube), manage projects, and communicate with executive leaders.

The role requires up to 50% travel, a US work authorization, and a Master's degree.

Qualifications

Bachelor's degree or higher in information sciences, technology, computer science, or related field.
3+ years of consulting experience in large-scale technology transformation projects.
2+ years of IT project management, engineering transformation, and business analysis including tech modernization.
Demonstrated expertise in transforming SDLC to AI SDLC using Claude, Claude Code and Cowork.
Experience with project management risk mitigation, RAID items, scheduling, cost control.
Stakeholder management bridging business and engineering groups.
Data center and application migration projects.
BI, reporting (Power BI), and analytics delivery.
Experience applying AI in current project environments.
Advanced proficiency with Confluence, JIRA and reporting in consulting/financial/tech environments.
Strong presentation, communication, and customer service mindset.
Certifications: Certified Scrum Master, ITIL Foundation.
Ability to travel ~50% on average.

Responsibilities

Work on end-to-end IT transformation projects for major consulting clients, focusing on innovation, technology resiliency, and operational excellence.
Collaborate with cross-functional engineering and development teams to design, onboard, and optimize DevOps toolchains (GitLab, Artifactory, SonarQube), while driving improvements in code quality and process automation.
Assist with project execution: develop project plans, facilitate meetings with client and project leads, maintain project documentation, and drive delivery within scope, schedule, and budget.
Analyze business requirements, performance metrics, and project risks; communicate recommendations to executive leadership.
Act as a technology liaison between business stakeholders and engineering teams to ensure alignment with enterprise change management controls and priorities.