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Digital Platforms R&D Leader

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Job Description

Job Title

Digital Platforms R&D Leader

Job Description

Digital Platforms R&D Leader

The Digital Platforms R&D Leader will be responsible for driving the strategy, architecture, development, and operational excellence of Philips core digital platforms, including HSCS (HealthSuite Consumer Services), C2ME (Common Consumer Mobile Experience), and DevSecOps platforms. This role will lead a high-performing organization of approximately 50 engineers across multiple platform domains and play a critical role in accelerating platform scalability, security, innovation, engineering productivity, and consumer-centric digital experiences.

The leader will work closely with engineering, product management, architecture, quality, security, and business stakeholders to define and execute platform roadmaps aligned with organizational goals, consumer needs, and business priorities.

Your role:

  • Define and execute the R&D strategy and roadmap for digital platforms covering cloud services, mobile experience platforms, and DevSecOps capabilities

  • Lead, mentor, and grow a multidisciplinary engineering organization across platform development, operations, and enablement

  • Drive platform architecture, scalability, reliability, security, privacy, and performance improvements

  • Ensure strong consumer focus by enabling seamless, scalable, intuitive, and high-quality digital experiences across products and platforms

  • Collaborate with cross-functional stakeholders to align platform capabilities with product, consumer, and business objectives

  • Enable common platform capabilities and reusable services across multiple products and business units

  • Drive platform standardization and maximize leverage of external partners, third-party platforms, frameworks, and SaaS solutions wherever appropriate to accelerate innovation and optimize cost and speed

  • Evaluate build vs. buy decisions and establish strategic technology partnerships to improve platform effectiveness and engineering efficiency

  • Lead technology modernization initiatives across cloud, mobile, backend, DevOps, and platform engineering domains

  • Drive engineering excellence through standardized processes, automation, quality practices, and operational metrics

  • Champion DevSecOps practices, CI/CD maturity, observability, release governance, and operational resilience

  • Ensure compliance with applicable regulatory, security, privacy, and quality standards

  • Manage R&D budgets, resource planning, prioritization, and execution timelines

  • Foster a culture of innovation, accountability, continuous learning, and collaboration

  • Identify delivery and operational risks proactively and implement mitigation strategies

  • Provide regular leadership updates on roadmap progress, delivery status, platform health, and organizational priorities

  • AI and Engineering Transformation Responsibilities

  • Drive adoption of AI-enabled software engineering practices across the SDLC

  • Lead AI-based SDLC transformation initiatives to improve engineering productivity, quality, automation, testing efficiency, and developer experience

  • Promote the use of AI-assisted development tools for coding, testing, code reviews, documentation, observability, and operational analytics

  • Evaluate emerging AI technologies and define strategies for responsible and scalable adoption within engineering workflows

  • Partner with architecture and engineering leaders to embed AI capabilities into platform engineering and DevSecOps practices

  • You're the right fit if:

  • Bachelor's or Master's degree in Engineering, Computer Science, or related field

  • Overall 15+ years of experience with minimum 5+ years of experience leading R&D or platform engineering organizations

  • Proven experience leading teams of 40+ engineers in global and matrixed organizations

  • Strong consumer mindset with experience building scalable and user-centric digital platforms and experiences

  • Strong understanding of cloud-native platforms, backend technologies, microservices, APIs, and distributed systems

  • Good understanding of mobile platforms and ecosystems including Android and iOS

  • Strong exposure to DevOps, DevSecOps, CI/CD, infrastructure automation, and platform operations

  • Good understanding of software security, privacy, compliance, and secure development practices

  • Experience working with external technology partners, vendors, and third-party platform ecosystems

  • Strong understanding of build vs. buy strategies and platform reuse models

  • Experience driving large-scale engineering transformation and platform modernization initiatives

  • Exposure to AI/GenAI technologies and practical adoption of AI-enabled engineering workflows

  • Experience leading or contributing to AI-based SDLC transformation initiatives is strongly preferred

  • Strong technical leadership, stakeholder management, influencing, negotiation, analytical, and people leadership skills

  • Ability to work effectively across organizational and hierarchical boundaries to drive alignment and execution

  • Excellent communication and collaboration skills with the ability to influence senior leadership and cross-functional teams


About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion .

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Job ID: 148876957

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Bengaluru, India

Skills:

software security privacy compliance ApisMicroservicesIosAndroidDevopsDevSecOpsDistributed Systemssecure development practicesbackend technologiesinfrastructure automationCI CDMobile Platformsplatform operationsAI GenAI technologiescloud-native platformsAI-enabled engineering workflows