General Manager, Applications

About Schneider Electric

Schneider Electric (SE) is the global specialist in energy management and automation. SE develops connected technologies and solutions to manage energy and processes in ways that are safe, reliable, efficient, and sustainable. SE provides an integrated approach designed for the reality of the digital economy (Plant-to-Plug), serving industries as well as residential and commercial customers.

About Schneider Digital

All IT needs for SE are managed by Schneider Digital (SD) , spread across 303 locations in 60+ countries , with approximately 5,000 staff , including global technology partners.

Role Overview - General Manager, Applications

The General Manager - Applications will lead application delivery, modernization, engineering excellence, and operational stability across Schneider Digital's global technology landscape. This role combines digital transformation , SDLC leadership , team management , stakeholder engagement , test automation & monitoring strategy , and run excellence to deliver business outcomes at scale.

This is a senior, cross-functional leadership role driving consistency, speed, quality, and reliability across multiple portfolios.

Key Responsibilities

1. Digital Transformation & Execution

• Drive high-impact digital transformation initiatives across application and platform portfolios.

• Translate business and technology priorities into structured execution roadmaps , measurable OKRs, and outcome-driven delivery models.

• Identify and scale best practices across Digital Technology Centers (DTCs) to improve delivery agility, predictability, and quality.

1. End-to-End SDLC Leadership & Delivery Excellence

• Strengthen SDLC governance across requirements, design, build, testing, release, and run.

• Improve delivery outcomes through enhanced planning, dependency management, risk mitigation, and operational readiness.

• Establish standard engineering playbooks, templates, coding practices, review mechanisms, and release frameworks.

1. Team Leadership & Capability Building

• Lead, mentor, and grow multi-disciplinary global teams across engineering, testing, automation, monitoring, and operations.

• Foster a culture of ownership, psychological safety, collaboration, continuous learning, and engineering excellence.

• Enable career growth through structured development plans, upskilling, and capability building aligned to modern application engineering.

1. Stakeholder Partnership & Cross-Functional Collaboration

• Partner with business, architecture, infrastructure, and operations leaders to ensure alignment on priorities and outcomes.

• Collaborate across internal teams and vendors to drive accountability, transparency, and shared success.

• Communicate progress, risks, and mitigations through crisp, data-driven updates.

1. Test Automation, Quality Engineering & Monitoring

• Define and scale an enterprise-wide test automation strategy across ERP, BOB, web, mobile, and integration applications, aligned with the Test Automation CoE .

• Govern and mature key automation frameworks including Cucumber, Playwright, TOSCA, Python, AI driven automation

• Strengthen structured test automation processes-planning, scenario decomposition, componentization, execution, and maintenance.

• Expand end-to-end automated flows across major ERP programs

• Integrate automation into CI/CD pipelines for continuous validation and faster release cycles.

• Lead adoption of performance testing frameworks, including AI-powered, keyword-driven testing models with real-time dashboards.

1. Application Monitoring, Observability & Run Excellence

• Build and scale a modern observability strategy using APM and monitoring platforms (Dynatrace, AppDynamics, Splunk, Grafana).

• Establish standards for:

• synthetic monitoring

• log analytics

• transaction tracing

• alerting

• performance baselining

• Improve MTTR, RCA maturity, and system resilience through proactive monitoring and structured operational governance.

1. Continuous Improvement & Metrics-Driven Performance

• Define and drive KPIs for predictability, throughput, automation coverage, application stability, incident reduction, and customer experience.

• Drive process and engineering improvements that reduce rework, accelerate releases, and enhance quality.

• Scale automation, standardization, reusability, and platform-level capabilities across DTCs.

• 8 - 10 years of leadership experience across application delivery, SDLC execution, engineering, or digital transformation in complex global environments.

• Strong background in test automation, observability, CI/CD, and modern engineering practices.

• Experience managing multi-location, multi-vendor delivery ecosystems.

• Digital transformation mindset

• Strong SDLC expertise

• Engineering and automation leadership

• Data-driven decision-making

• Stakeholder management & communication

• People leadership and team development

• Passion for modern engineering practices, automation, and AI enablement

• MBA (Tier 1 / Tier 2) preferred; engineering or computer science degree strongly preferred.