R&D Team Lead

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This Position reports to: R&D Leader(Industrial Software)-AUEN BL What we believe in ABB’s Process Automation business area enables customers to operate some of the world’s largest and most complex industrial infrastructures, helping them outrun – leaner and cleaner. We offer a broad range of automation, electrification and digital solutions for process, hybrid and maritime industries, including industry-specific integrated control and software as well as measurement and analytics solutions and services. Your role and responsibilities In this role, we are looking for an experienced R&D Manager / People Manager to lead a Digital R&D product pillar or capability team end to end, with accountability for people leadership, delivery predictability and technical direction. Acting as the captain of the ship, the role is responsible for setting direction, removing impediments and ensuring engineering outcomes are delivered with quality, speed, security and business relevance. This is a hands-on senior management role requiring strong technical credibility and the ability to review architecture and code-level trade-offs, guide .NET, Kubernetes and cloud-native engineering, and lead Agile execution across globally distributed teams. The role will work closely with product, architecture, program, release, operations and business stakeholders to translate business priorities into scalable and maintainable engineering solutions. Looking for a Leader get drive Energy & Operation Management within ABB AUEN Digital The work model for the role is: Hybrid You will be mainly accountable for Lead people, delivery and stakeholder outcomes by managing and developing a high-performing R&D team, setting clear objectives, allocating work, providing feedback and career development, managing staffing and capacity, and owning delivery outcomes across scope, milestones, quality, risks, dependencies and stakeholder commitments. Drive Agile execution and delivery governance by translating roadmaps into executable sprint and release plans, leading Agile/Scaled Agile ceremonies, maintaining clear roles and decision rights, tracking backlog health, defects and technical debt through Azure DevOps/GitHub, and ensuring transparent reporting of delivery health and risks. Provide hands-on technical and domain leadership across cloud-native, edge and industrial software, including Generative/Agentic AI, C#/.NET, microservices, APIs, Docker, Kubernetes, SaaS/PaaS architecture, observability, performance, reliability and security. Govern architecture decisions, technology roadmaps and technical debt while driving modern DevOps practices including CI/CD, automated testing and infrastructure-as-code. Act as the single accountable leader for the product area, creating clarity in ambiguity, making timely decisions, removing obstacles and driving issues to closure. Connect product intent, industrial customer needs, data flows and platform architecture while collaborating with global ABB teams and external stakeholders to deliver reliable, secure and business-relevant solutions. Qualifications for the role Strong experience in software engineering, R&D delivery or product engineering leadership, preferably within industrial software, process automation, energy, Asset Performance Management or related operational domains. Strong experience in Asset Performance Management applications is an added advantage. Proven people management experience, including performance management, coaching, staffing, career development, succession planning and building high-performing engineering teams. Demonstrated end-to-end delivery ownership, covering planning, execution, quality, release management, risk and dependency management, stakeholder alignment and delivery governance across complex software products. Strong hands-on technical background in Generative/Agentic AI, C#/.NET, Kubernetes, Docker, microservices and cloud-native architecture, with exposure to LLMs, RAG, MCP and relevant open-source technologies. Experience with Azure or comparable cloud platforms, DevOps pipelines, CI/CD, automated testing, observability, infrastructure-as-code, reliability and security practices. Strong knowledge of Agile/Scrum and scaled Agile methodologies, with demonstrated experience leading multi-team delivery and working effectively with globally distributed teams. BE/BTech/ME/MTech in Computer Science, Engineering or a related technical discipline, with strong English communication and leadership skills. The candidate should demonstrate an ownership mindset, technical credibility, ability to create clarity in ambiguity, decisive leadership and experience collaborating with cross-functional and external stakeholders. More about us ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area (>$6B revenue in 2021, 22,000 employees), automates, electrifies and digitalizes some of the most complex industrial infrastructures on this planet. Through its five divisions, it serves customers in the energy, process and hybrid industries – from hydrocarbons, chemicals, water, mining, minerals, pulp & paper to marine and ports, and many more. PA stands at the heart of some of the most important shifts in society, helping the energy-intense industries to safer, smarter and more sustainable operations to enable a prosperous, low-carbon society. Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences. Ready to make an impact? Apply today or visit to learn more about the impact of our solutions across the globe. Recruitment Fraud Warning ABB never asks for payment from job applicants. 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