AI Value & Business Insights Lead - Data Architect

Company Description

🏢 About Bosch Group

The Bosch Group is a leading global supplier of technology and services. It employs roughly 418,000 associates worldwide. The company generated sales of 90.3 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 490 subsidiary and regional companies in over 60 countries. At 136 locations across the globe, Bosch employs some 87,000 associates in research and development.

🏢 About Robert Bosch (South East Asia)

As the Bosch Group's regional headquarters in Singapore for Southeast Asia, Robert Bosch (South East Asia) Pte Ltd has represented the Group's interests across the region since 1923. With diversified businesses in Mobility Aftermarket, Industrial Technology, Consumer Goods, and Building Technology. Robert Bosch (SEA) Pte Ltd includes the Asia Pacific headquarters for Mobility Aftermarket, Building Technology, and Industrial Technology, as well as the Southeast Asia R&D setup for Corporate Research, Advance Engineering Centre, and Bosch Business Innovations, Bosch's in-house innovation and startup incubation network. At Bosch, we are committed through our EVP ensuring all our associates to GROW, ENJOY and INSPIRE during their journey with us.

Job Description

💼 Role Overview

We are looking for an AI Value & Business Insights Lead & Data Architect who combines strong business expertise with hands-on data architecture capability, to transform AI outputs and analytical results into clear, actionable business insights for Mobility Aftermarket . You will work closely with Bosch AI/analytics teams and MA business stakeholders to ensure AI solutions lead to better decisions, measurable impact, and continuous improvement. This role focuses on interpreting AI results to bring business value and insight.

This role owns the full value chain - Deep understanding of Mobility aftermarket (or ailke) business and interpret the AI value by building Data solutions 

• Understanding business challenges (Mobility aftermarket or alike)
• Designing and managing data pipelines & cloud structures
• Enabling AI/analytics solutions
• Translating outputs into measurable commercial impact
• You will not only interpret AI results — you will ensure the right data foundation exists to generate reliable, scalable insights.

🎯 What you will do (Key Responsibilities)

   1. Business-Driven AI & Data Strategy

• Understand key MA business processes (sales, pricing, trade marketing, supply chain, customer behavior).
• Identify high-value AI and analytics use cases.
• Translate commercial questions into structured data and analytical requirements.
• Ensure AI initiatives directly support revenue growth, margin improvement, and efficiency.

   2. Data Architecture & Pipeline Ownership

• Design and manage scalable data pipelines for MA use cases.
• Structure, clean, and integrate data from multiple sources (ERP, Redmesh, eCommerce, etc.).
• Manage and optimize cloud-based data environments.
• Ensure data quality, governance, and reliability for AI/analytics solutions.
• Collaborate with IT and central data teams to align architecture standards.

   3. AI Enablement & Insight Generation

• Work with AI/ML teams to develop and refine use cases.
• Interpret model outputs and validate business relevance.
• Identify patterns such as: Price inquiries vs order conversion gaps. Channel-specific margin erosion, Customer churn signals etc.
• Turn analytical findings into clear business recommendations

   4. Value Realization & KPI Management

• Define measurable KPIs for AI and data initiatives.
• Track business impact (revenue uplift, margin improvement, cost reduction).
• Ensure continuous feedback loops to improve models and data structures.
• Present insights and progress to MA leadership.

 

Qualifications

👤 What We’re Looking For (Qualifications & Skills)

     1. Business Expertise (Mandatory)

• 5–10+ years experience in Automotive / Mobility Aftermarket / Trade business.
• Deep understanding of: Sales and pricing structures, Channel management. Logistics, Finance, Customer behavior, Commercial KPIs.
• Proven track record of driving business improvements through data.

     2. Data Architecture & Technical Capability (Mandatory)

• Experience designing and managing data pipelines.
• Strong understanding of data modeling and integration concepts.
• Experience with cloud-based data platforms.
• Hands-on experience with: SQL, Python. BI tools (e.g., Power BI), Workflow/automation tools (e.g., KNIME)
• Understanding of data governance and quality management.

    3. AI & Analytics Knowledge (Mandatory)

• Solid understanding of AI/ML concepts and model lifecycle.
• Experience working with AI teams to operationalize solutions.
• Ability to validate model logic and outputs from business perspective.

   4. Personal Skills

• Strong commercial mindset.
• Systems thinking — ability to connect data architecture with business outcomes.
• Strong communication and storytelling skills.
• Comfortable operating between IT, AI experts, and commercial leaders.
• Proactive, structured, and impact-oriented.

** This role requires both strong business expertise and hands-on data architecture capability.
Purely technical profiles without commercial experience, or purely business profiles without data engineering knowledge, will not be suitable.

Additional Information

💎 What’s In It for You

We don’t just offer jobs—we build careers. At Bosch, you’ll benefit from:

• 🕰️ Flexible working hours
• 🧠 Continuous learning
• 💼 Career mobility across functions and regions
• 🧘‍♀️ Well-being support and employee assistance programs
• 💸 Attractive compensation including bonus schemes and insurance
• 🤝 Inclusive culture built on respect, collaboration, and empowerment

📅 Next Steps

Our recruitment process typically includes:

1. Application screening
2. Interview(s) with Hiring Manager, Business Leaders and HR
3. Business case or technical assessment (where relevant)

Ready to grow your career with Bosch? 🚀 Apply Now!