Head of Digital - Product Owner - R&D - Automotive

24 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

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

  • 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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