Head of Digital

2 days ago


jaipur, India Talent Toppers Full time

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 21–24 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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