Senior Customer Journey Insights Executive (Temp. 6 Months)

Your Purpose:

Contribution to qualitative leads generating process for Sales and Customer Services via the relevant digital touchpoints (entry points for the CJ);

Your Responsibilities:

Data Strategy

• Architect and execute a robust data and analytics strategy for MBGD’s digital customer touchpoints, including Website, Vehicle Online Store, Accessories Online Store, Lead Management Systems, CRM Operations, and beyond.

  
  

• Serve as the single point of accountability for all data-related topics within the Customer Journey & eCommerce team, ensuring that all analytics initiatives drive measurable business value.

  
  

• Design and implement advanced analytical frameworks to assess platform effectiveness, optimize performance, and enable continuous data-driven improvements.

  
  

• Critically evaluate existing data infrastructure, identify inefficiencies, and drive the development of scalable, high-impact analytical solutions that directly influence strategic decision-making.

  
  

• Align data objectives with Mercedes-Benz’s global digital transformation strategy, ensuring seamless integration with broader corporate goals.

  
  

OneData Project

• Lead MBGD's OneData and Databricks adoption journey, translating business priorities into scalable data products, trusted KPIs, and governed analytics capabilities.

  
  

• Partner with OneData, MB IT, and business stakeholders to prioritize, onboard, and operationalize strategic data sources into the MBGD data ecosystem, including CRM, Salesforce, Website/GA4, Sales Funnel, SOS, CSI, campaign, order, and future data domains.

  
  

• Establish and govern a semantic layer, KPI glossary, data dictionary, metric ownership model, and data-quality framework to create a single source of truth for reporting, self-service analytics, AI, and executive decision-making.

  
  

• Act as the key business counterpart to technical teams, ensuring that platform investments are prioritized according to business outcomes.

  
  

• Lead the evaluation and implementation of next-generation analytics capabilities including Databricks Genie, Talk-to-Data, AI-powered insights, agentic reporting, and conversational analytics solutions.

  
  

This is a highly strategic and execution-driven role requiring end-to-end ownership of data and analytics initiatives. Candidates must demonstrate a track record of implementing scalable analytics solutions that drive tangible business outcomes.

Advanced Data Analytics

• Develop and present high-impact insights through dashboards, reports, and executive briefings to senior stakeholders across MBGD and General Distributor markets.

  
  

• Own and optimize end-to-end data pipelines, leveraging tools like Google Analytics, Power BI, SQL, Python, and Excel to extract, transform, and analyze data at scale.

  
  

• Lead deep-dive analytics into customer behavior, digital platform performance, and market trends to identify actionable opportunities for optimization.

  
  

• Develop predictive models and explore machine learning-based insights to anticipate customer needs, improve user experience, and support data-driven decision-making.

  
  

• Proactively define and monitor KPIs, ensuring that digital platforms continuously evolve to meet business objectives and drive maximum customer engagement.

  
  

This role demands strong technical expertise in data analytics, the ability to translate complex datasets into clear business strategies, and a problem-solving mindset that drives continuous platform improvement.

SOS – Sales Funnel Operations

• Own the data, analytics, reporting, and business performance measurement strategy for the Sales Operating System (SOS), ensuring successful rollout, adoption, and ongoing optimization of sales funnel-related topics across MBGD markets.

  
  

• Define and monitor SOS success metrics, business processes, funnel performance, user adoption, data quality, and operational effectiveness to maximize commercial value realization.

  
  

• Act as the business lead and key stakeholder for SOS data integration into the OneData/Databricks ecosystem, ensuring SOS becomes a trusted and reusable data source for analytics, reporting, forecasting, AI, and business products.

  
  

Data Governance & Compliance

• Enforce strict adherence to global and local data privacy regulations (e.g., GDPR), ensuring MBGD’s data operations are fully compliant.

  
  

• Establish rigorous data quality frameworks, ensuring accuracy, consistency, and reliability across all digital touchpoints.

  
  

• Work closely with IT, compliance, and cybersecurity teams to mitigate risks related to data storage, access, and usage, proactively addressing potential vulnerabilities.

  
  

Candidates must possess a deep understanding of data governance frameworks and demonstrate experience in implementing compliance-driven data management practices in large-scale digital ecosystems.

Stakeholder Management & Data Advocacy

• Act as the primary data advocate, working with internal (HQ, MBGD) and external (General Distributors, business partners) stakeholders to embed data-driven decision-making across all levels of the organization.

  
  

• Drive business transformation by identifying pain points, uncovering growth opportunities, and translating complex data insights into actionable business strategies.

  
  

• Conduct high-impact workshops and training sessions to elevate data literacy, ensuring that teams can effectively leverage insights to improve customer experience.

  
  

• Engage with global Mercedes-Benz teams to align on best practices, contribute to enterprise-wide analytics advancements, and foster a culture of continuous innovation.

  
  

This is not just a data role – it requires strong leadership, exceptional stakeholder management skills, and the ability to drive business change through data-driven strategies.

Your profile:

Training and qualification

• University / Bachelors 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

  
  

Technical knowledge

• Proficient in data analysis tools (e.g. SQL) and visualization platforms (e.g., Power BI).

  
  

• Strong understanding of web analytics tools like Google Analytics.

  
  

• Familiarity with data from platforms like CRM systems, e-commerce platforms, and lead management tools is a strong advantage.

  
  

• Data Management, Data Governance & GDPR knowledge

  
  

• Competency in Microsoft applications such as PowerBI, Access, Excel & PowerPoint

  
  

Soft skills/individual competence

• Passionate about digital transformation and data-driven business.

  
  

• Ability to work and drive all data topics independently.

  
  

• Curious mindset, willing to question and challenge the status-quo.

  
  

• Entrepreneurial spirit and out-of-the box thinking.

  
  

• Highly organized, results-oriented professional, consistently persevering to find the best solution/opportunity to seize.

  
  

• Nimble, agile, creative and highly adaptable professional.

  
  

• Ability to think laterally for creatively solving business problems.

  
  

• Willingness to constantly learn, grow, and reinvent oneself outside one’s comfort zone.

  
  

• Ease with cross-cultural teamwork and diplomatic communication.

  
  

• Network and foster strong relationships with internal and external stakeholders.

  
  

• Prioritize and multitask a portfolio of business activities.

  
  

• Ability to work under pressure and within short timelines.

  
  

Experience

• Cross-functional professional experiences (ideally 2-3 years) with exposure to core business functions such as Sales, Marketing, Network Development, Data Management/Governance, and Customer Experience/Journey.

  
  

• Strong interest in data-driven business practices and initiatives, proven through successful design, launch and execution of projects involving data strategy, data management, and data analytics.

  
  

• Awareness of data governance and operational data processes.

  
  

• Experience in the delivery of detailed reporting, analytics dashboards and business recommendations to senior leadership.