About MBRDI
Mercedes-Benz Research and Development India (MBRDI) is the largest R&D center of Mercedes-Benz AG outside Germany, driving innovation across vehicle engineering, software, autonomous systems, digital technologies, electrification, and enterprise IT. As the industry evolves toward Software-Defined Vehicles, AI-enabled engineering, connected mobility, and sustainable transportation, building future-ready capabilities remains critical to sustaining MBRDI's position as a world-class engineering organization.
Role Purpose
The Learning Partner – Technical Capability & Workforce Transformation serves as a strategic advisor to the business, driving future-ready technical capabilities across MBRDI. Partnering with engineering leaders, HRBPs, technical experts, academia, and industry partners, the role identifies emerging skill needs, leads upskilling and reskilling initiatives, and delivers scalable capability solutions in areas such as AI, digital engineering, and next-generation automotive technologies, aligned to future business and technology roadmaps.
Key Responsibilities
Strategic Business Partnership
- Serve as the primary Technical Learning Partner, building trusted relationships with leaders and stakeholders across the organization.
- Consult with business leaders to understand strategic priorities, capability gaps, workforce challenges, and future skill requirements.
- Translate business and technology strategies into scalable learning and capability-building interventions.
- Collaborate with HRBPs and leadership teams to define and execute technical workforce transformation roadmaps.
Technical Capability Development
- Own and govern the Technical Learning portfolio, ensuring alignment to business priorities and emerging technology trends.
- Design, curate, and deploy technical learning journeys, certification pathways, and development frameworks.
- Establish and manage competency frameworks across engineering and technology domains.
- Drive organization-wide upskilling and reskilling initiatives focused on current and future workforce requirements.
- Evaluate learning effectiveness and continuously optimize solutions to maximize business impact and learner experience.
Future Skills & Workforce Readiness
Lead capability-building initiatives across strategic domains including:
- Artificial Intelligence & Generative AI
- Software Engineering & DevOps
- Software-Defined Vehicles (SDV)
- Cloud Technologies
- Autonomous Driving & ADAS
- Data Engineering & Analytics
- Vehicle Electronics & E/E Architectures
- Digital Twins & Simulation
- Systems Engineering
- Electrification & Battery Technologies
- Functional Safety (ISO 26262)
- Sustainable Mobility
- Automotive Cybersecurity
Develop workforce readiness strategies that proactively address emerging technology shifts and future business needs.
AI & Digital Learning Transformation
- Drive AI literacy and AI fluency initiatives across engineering populations.
- Design role-based capability programs for engineers, architects, technical leads, product owners, managers, and leaders.
- Champion adoption of AI-enabled learning, productivity, and engineering solutions.
- Curate practical learning experiences in areas such as:
Prompt Engineering
AI for Requirements Engineering
AI-Assisted Software Development
AI-Enabled Design & Innovation
Engineering Co-Pilots
Data-Driven Decision Making
AI for Testing & Validation
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Promote responsible and ethical use of AI across learning ecosystems.
Experiential Learning & Capability Acceleration
Create hands-on learning ecosystems through:
- Technical Bootcamps
- Hackathons & Innovation Challenges
- Technical Labs & Sandboxes
- Simulation-Based Learning
- Engineering Communities of Practice
- Industry Expert Sessions
- Design Sprints
- Internal Faculty Networks
Enable engineers to build practical proficiency through application-driven learning rather than classroom-based interventions alone.
Learning Innovation & Digitalization
- Continuously evaluate emerging learning technologies and industry best practices.
- Drive adoption of AI-enabled learning platforms, skills intelligence solutions, virtual learning environments, and digital capability ecosystems.
- Lead digitalization and automation of learning processes, systems, and workflows.
- Act as SME for learning technologies, capability assessments, and learning analytics.
Measurement & Business Impact
- Establish capability metrics and learning analytics frameworks.
- Measure effectiveness, capability growth, business impact, certification outcomes, learner adoption, and workforce readiness.
- Leverage data-driven insights to inform capability investments and future learning priorities.
- Present actionable recommendations to senior leadership based on learning and capability trends.
Ecosystem & Vendor Management
- Build strategic partnerships with universities, research institutions, industry bodies, startups, and technology providers.
- Manage external learning partners, consultants, and vendors to ensure quality, innovation, and business value.
- Develop and nurture a strong internal faculty and technical expert network.
- Manage technical learning budgets and ensure optimal utilization of investments.
What Success Looks Like
The successful candidate will:
- Act as a Capability Consultant.
- Influence senior engineering leaders on workforce transformation priorities.
- Anticipate future capability requirements and build proactive solutions.
- Drive measurable business outcomes through capability development.
- Establish scalable, future-ready learning ecosystems that accelerate engineering excellence.
- Position MBRDI at the forefront of technical capability development within the global automotive and mobility ecosystem.
Skills & Competencies
Business & Consulting
- Strategic Consulting
- Influencing & Negotiation
- Stakeholder Management
- Workforce Planning
- Executive Communication
- Organizational Development
Learning & Capability Development
- Learning Strategy
- Assessment & Development Centers
- Competency Framework Design
- Learning Analytics
- Adult Learning Principles
- Program & Portfolio Management
- Learning Experience Design
Technology & Future Skills Awareness
Strong understanding of current and emerging technologies including:
- Artificial Intelligence & Generative AI
- Systems Engineering
- Large Language Models (LLMs)
- SDV & Automotive Software
- Prompt Engineering
- Autonomous Mobility
- Agentic AI
- Functional Safety
- Data Analytics
- Automotive Cybersecurity
- Cloud Technologies
- Digital Engineering
- Software Engineering Practices
