Senior Data and Customer Journey Analytics Leader

Mercedes Benz; Abu Dhabi; On-site; AED 441,000 - 661,000; Full time

Job summary

Mercedes-Benz Group Digital (MBGD) seeks a senior data leader to own end-to-end data and analytics initiatives across digital touchpoints, from website to CRM, driving measurable business value.

You will partner with OneData, MB IT, and business stakeholders to deliver trusted KPIs, semantic layer, and AI-enabled insights while ensuring data quality and privacy compliance. Strong leadership and cross-functional collaboration are essential.

Qualifications

• University / Bachelor’s Degree in Business Administration, Marketing, Mathematics, Data and/or Computer Science or related areas
• Advanced English
• Driving license
• Good knowledge of data processing and visualization
• Recognised Data, Analytics, Digital or Marketing qualification(s) - optional

Responsibilities

• Architect and execute a robust data and analytics strategy for MBGD’s digital customer touchpoints.
• Lead MBGD's OneData and Databricks adoption journey, translating business priorities into scalable data products, trusted KPIs, and governed analytics capabilities.
• Develop dashboards and predictive analytics to support decision-making and optimize platform performance.
• Own SOS data, analytics, reporting, and KPI metrics across MBGD markets.
• Enforce data governance and GDPR-compliant data management practices across large-scale digital ecosystems.
• Engage with stakeholders to drive data-driven decision making across the organization.

Skills

Advanced English

Education

University / Bachelor’s Degree in Business Administration, Marketing, Mathematics, Data and/or Computer Science

Tools

SQL

Power BI

Google Analytics

Job description

Mercedes-Benz Group Digital (MBGD) seeks a senior data leader to own end-to-end data and analytics initiatives across digital touchpoints, from website to CRM, driving measurable business value.

You will partner with OneData, MB IT, and business stakeholders to deliver trusted KPIs, semantic layer, and AI-enabled insights while ensuring data quality and privacy compliance. Strong leadership and cross-functional collaboration are essential.