▷ [Apply in 3 Minutes] Head of Digital - Product Owner - R&D - Automotive

4 days ago


Jaipur India Talent Toppers Full time

Job Description Job Purpose: To lead the digital product strategy, development, and delivery for R&D-centric initiatives, aligning with client's digital transformation vision. The role focuses on enabling innovation, enhancing engineering efficiency, and digitizing core R&D processes by leveraging modern IT tools and platforms. Key Responsibilities Product Ownership & Strategy - Own the end-to-end digital product lifecycle for R&D solutions, from ideation to delivery. - Define product vision, roadmap, and OKRs in alignment with business and digital transformation goals. Stakeholder Collaboration - Work closely with R&D leadership, engineering teams, and cross-functional stakeholders to gather business requirements and translate them into technical solutions. - Ensure alignment with regulatory, quality, and safety requirements in product development. Project Management & Execution - Drive agile delivery practices across development sprints. - Define, prioritize, and manage product backlogs and feature releases. Technology Implementation - Collaborate with internal IT and external vendors to implement solutions including CAD/PLM, digital twin, simulation, and AI-based engineering analytics. User Experience & Change Management - Champion user-centric design and change management strategies to drive adoption of digital tools in R&D. - Conduct training and support for R&D teams using new platforms. Academic Qualification - Bachelor's Degree in Engineering (Mechanical, Electrical, or equivalent); - Master's Degree (MBA or M. Tech) preferred. Relevant Experience - 2124 years of experience in digital transformation, IT product ownership, or engineering IT within the manufacturing/automotive domain. [ Relevant - 10 - 15 years ] - Proven track record of delivering enterprise digital platforms or products within R&D or Engineering functions. - Experience in managing cross-functional teams and agile product delivery. Technical Skills/Knowledge - Strong understanding of R&D systems such as PLM, CAD, CAE, simulation tools, and digital twin platforms. - Familiarity with Agile/Scrum methodologies and product management tools (JIRA, Confluence, etc.) - Knowledge of cloud platforms (Azure, AWS), APIs, and data integration frameworks. - Exposure to AI/ML use cases in engineering and analytics is a plus.


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