VSSE Delivery Manager

Ford Motor Company

. Lead the strategy, delivery, and continuous improvement of VSSE-IT software platforms, modeling ecosystems, and engineering data capabilities .

Posted 9/22/2026full-timeChennai • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading software platform strategy and delivery, with a strong focus on enterprise application development, data integration, and team management. Proficient in utilizing Agile methodologies and advanced technologies to drive continuous improvement and secure, scalable solutions.

Highest-signal resume keywords

JavaSpring BootGCPAgileSiemens Teamcenter

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringEnterprise Application DevelopmentProduct Lifecycle ManagementData IntegrationAI/ML InitiativesRESTful APIsPythonJavaScriptAngularReact

Soft Skills

Team ManagementDelivery LeadershipCollaborationMentoringRisk Management

Tools & Technologies

KubernetesOpenShiftCI/CDTerraformJenkinsMagicDrawCameo Systems ModelerMBSE ToolsAnalytics PlatformsObservability

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceAdvanced Degree (Preferred)

Industry Keywords

Digital EngineeringEngineering Data CapabilitiesContinuous ImprovementCloud SecurityAutomotive Product Development

Tech Stack

Tools & technologies

AngularCloudCyber SecurityDistributed SystemsGoogle Cloud PlatformJavaJavaScriptJenkinsKubernetesNoSQLOpenShiftPythonReactSpringSpring BootSpringBootSQLTerraform

About the role

Key responsibilities & impact

Lead the strategy, delivery, and continuous improvement of VSSE-IT software platforms, modeling ecosystems, and engineering data capabilities
Define and execute technology roadmaps supporting systems engineering, digital engineering, product development, traceability, collaboration, and enterprise data integration
Lead Siemens Teamcenter customization, architecture, administration, upgrades, integrations, troubleshooting, data synchronization, and operational readiness
Integrate Teamcenter with MagicDraw/Cameo Systems Modeler, Teamwork Cloud, MBSE tools, requirements platforms, and enterprise engineering systems
Manage and mentor cross-functional teams covering full-stack development, cloud platforms, DevOps, quality, cybersecurity, and production operations
Guide delivery of secure, scalable, high-performance applications using Java, Spring Boot, Python, JavaScript, Angular or React, RESTful APIs, databases, and GCP services
Establish DevOps practices involving Kubernetes/OpenShift, containers, Jenkins or Tekton, Terraform, CI/CD, automated testing, monitoring, observability, and infrastructure automation
Advance AI/ML-enabled engineering capabilities using LLMs, retrieval-augmented generation, vector databases, analytics platforms, AI APIs, and intelligent modeling workflows
Partner with Siemens Product Development on core product issues, patches, and fixes
Collaborate with product, engineering, architecture, cybersecurity, infrastructure, PLM, and business stakeholders to prioritize delivery, manage risks, and conduct readiness reviews
Promote Agile planning, backlog refinement, estimation, code reviews, quality practices, performance management, and continuous improvement
Ensure solutions meet standards for security, compliance, data quality, traceability, performance, reliability, maintainability, and user adoption

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline
At least 10 years of progressive experience in software engineering, enterprise application development, technology delivery, or a related field
At least 5 years of experience with Product Lifecycle Management platforms
At least 3 years of experience in people management, engineering management, delivery leadership, or a comparable technical leadership role
Experience leading end-to-end delivery of enterprise software products and platforms using Agile, Scrum, or other iterative development methodologies
Strong technical experience with Java, Spring Boot, RESTful APIs, Python, JavaScript, and Angular or React
Experience with GCP, OpenShift or Kubernetes, containers, CI/CD pipelines, Tekton or Jenkins, and Terraform
Experience leading PLM integrations using REST, SOA, ITK, BMIDE, Active Workspace, or comparable technologies
Experience with data platforms, analytics solutions, AI/ML initiatives, or engineering data integration programs
Ability to establish technical direction, manage delivery risks, improve engineering processes, and deliver secure, reliable, production-ready solutions
Preferred: advanced degree; Siemens Teamcenter, Teamcenter X, 3DEXPERIENCE, MBSE tools, automotive product development, SQL/NoSQL, distributed systems, AI/ML, LLMs, observability, cloud security, and global engineering team experience