AI Value & Business Insights Lead Data Architect

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 Were Looking For (Qualifications & Skills)

     1. Business Expertise (Mandatory)

• 510 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 :

Whats In It for You

We dont just offer jobswe build careers. At Bosch youll 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!

Remote Work :

No

Employment Type :

Full-time