Application Modernization Lead
We tailor your resume to this role and apply for you in seconds.
Apply to Application Modernization Lead at StellantisJob details
- Location
- Auburn Hills, Michigan
- Work type
- Onsite
- Posted
- 4 days ago
- Apply on
- myjobs.adp.com
About this role
As part of Stellantis’ digital transformation, we are accelerating enterprise-wide modernization initiatives to reduce datacenter footprint, modernize legacy applications, and migrate critical workloads to cloud‑native platforms.
To scale these efforts, we are establishing an AI‑powered Application Modernization Factory, leveraging agentic AI and GitHub Copilot to industrialize modernization across domains.
We are seeking a technical lead to design, build, and scale this capability, enabling faster, more predictable, and repeatable transformation at scale.
Key Responsibilities:
Modernization Factory Design & Build
- Define and implement the AI‑powered modernization factory model
- Design and standardize modernization and migration patterns
- Build AI-first pipelines leveraging GitHub Copilot, agentic AI, and complementary tooling
- Establish scalable, reusable frameworks for enterprise modernization
AI-Driven Transformation Enablement
Define and implement AI capabilities across the software lifecycle, including:
- Legacy code assessment and complexity analysis
- Functional decomposition and domain modeling
- Automated refactoring and migration to cloud-native architectures
- Security, IAM, and compliance validation
- Test generation, regression testing, and UAT acceleration
Program Leadership & Stakeholder Collaboration
- Act as a technical lead and thought leader, driving adoption across IT domains
- Collaborate with security, cloud, DevOps, and platform teams
- Define and promote new ways of working for AI-driven transformation
- Influence architectural decisions and modernization strategies across the organization
Modernization Initiatives
Lead and support transformation across key domains:
- Identity & Access Management (IAM) modernization and legacy system retirement
- Migration of legacy applications to cloud-native architectures
- Mainframe transformation and cloud offloading strategies