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Key skills for this role
In partnership with MEIC R&D leader, formulate and drive the Software Excellence & AI strategy and roadmap aligned with enterprise and OU priorities
Lead digital transformation initiatives including automation, AI adoption, and engineering productivity improvements
Translate enterprise AI vision into MEIC AI execution frameworks and scalable AI-enabled delivery models
Establish software excellence frameworks across SDLC, quality, metrics, and governance
Drive best-in-class practices in: Software Development Lifecycle (SDLC) Agile / SAFe methodologies DevSecOps, CI/CD, and test automation Software quality, metrics, and reliability
Software Development Lifecycle (SDLC)
Agile / SAFe methodologies
DevSecOps, CI/CD, and test automation
Software quality, metrics, and reliability
Ensure delivery of scalable, secure, and high-quality software systems
Define and implement engineering metrics dashboards and continuous improvement programs
Partner with global & local partners to embed AI into products, processes, and operations
Drive AI/ML, development, and deployment across products and platforms. Drive Fast scalable AI tools within MDT compliance and allowed LLMs
Drive adoption of data science, advanced analytics, and AI-enabled solutions
Oversee end-to-end AI lifecycle (data engineering, modeling, deployment, monitoring)
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AI upskilling, Metrics measurement, traceability and reporting along with MEIC cross functional teams
Stakeholder Collaboration in partnership with ER&D Leaders at MEIC : Drive AI enabled Digital Engg , SW Engg productivity and automated digital traceability
Build and scale a high-performing Software & AI organization
Lead hiring (including Sr. Principal / Distinguished Engineers) and capability development
Drive talent strategy, coaching, and leadership development
Drive Communities of Practice and upskilling programs in AI and software excellence
Foster a culture of innovation, quality, and continuous improvement
Bachelor’s in Computer Science, Electronics, AI/Data Science, or related field
Master’s degree preferred
20+ years in software engineering and product development
10+ years in leadership roles managing large, global engineering teams
Proven experience in: Software product development AI/ML strategy and deployment Digital transformation and engineering excellence initiatives
Software product development
AI/ML strategy and deployment
Digital transformation and engineering excellence initiatives
Experience in regulated industries (e.g., MedTech) preferred
Strategic thinker with ability to influence enterprise-level decisions
“Leader-as-expert” with strong technical depth and architectural judgment
Ability to operate in a matrixed global environment and drive alignment
High ownership with autonomy in decision-making and execution
Global leader in medical technology and healthcare solutions.
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