R&D Transformation Lead
Nokia · Chennai · onsite · Posted 52d ago
Undisclosed7–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
This role owns the two biggest levers for how the RD organisation evolves: who it works with externally and how it builds capability internally including the adoption of AI-driven ways of working. The Vendor, Org AI Transformation Specialist ensures subcontractor quality does not become a delivery liability, that the organisation is structured and skilled for what is ahead, and that AI tools are embedded into engineering workflows in a disciplined, measurable way.
HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
- Manage weekly and monthly RD operating cadence, including program reviews, S OW standards, Deliverable Acceptance Checklists (DAC SW and HW categories), and Payment Gate Schedules .
- Conduct technical audits and deliverable reviews for subcontractor engagements across SW, HW, and systems categories. Track vendor performance KPIs; manage underperformance with structured Corrective Action Plans (CAPs)
- Oversee the RD governance calendar, ensuring timely and data-driven discussions occur.
- Identify, pilot, and scale AI tools (Copilot, generative AI assistants, automated test generation, AI-assisted code review) within RD teams
- Triage escalations by identifying blockers early and coordinating resolution efforts with engineering teams.
- Facilitate day-to-day Agile execution, including Sprint Planning, SCRUM, and retrospectives. Define and monitor delivery KPIs, identifying bottlenecks and implementing process improvements.
- Drive quality metrics monitoring and ensure adherence to engineering quality gates throughout the product lifecycle.
- Conduct root cause analysis on quality issues and foster communities of practice around engineering excellence.
Qualifications
Must-Have:
- Engineering or Masters in engineering with 15 plus years experience in RD, engineering program management, or technical operations
- Direct experience in managing hardware/embedded subcontractor engagementsDAC, BOM/AVL, DER, ECR/ECO in a hardware-software context
- Demonstrated experience driving AI or Gen AI tool adoption in an engineering organization structured rollout with measurable outcomes, not just awareness.
- Comfortable working across engineering, HR, IT, and procurement stakeholders
- Proficient in org and people processes headcount planning, competency frameworks, onboarding design
- Experience with Microsoft Copilot, GitHub Copilot, or equivalent GenAI tools in an engineering context
Nice-To-Have:
- Familiarity with Nokia or comparable OEM engineering processes
- Background in organizational design or HR business partnering. Exposure to Nokia BBD or Fixed Networks program structures
Sourced from naukri
Skills
GithubProgram ManagementAgileScrumCode ReviewCadenceOrganizational DesignGithub CopilotauditsHr Business PartneringcopilotRoot Cause AnalysisEmbedded SystemsOnboardingAI ToolsoperationsProcurementGenerative AibomArtificial Intelligence
About Nokia
Nokia
Telecom
17.3k+
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161 years old
Espoo, Southern Finland
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Nokia is a technology leader across mobile, fixed, and cloud networks, our solutions enable a more productive, sustainable, and inclusive world.
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