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.Skills Required
Ml, Apis, Cad, Simulation Tools, Ai, Cae, Jira, Plm, Confluence, Agile, Scrum, Azure, Aws