About Us

Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.

Are you passionate about enabling enterprise analytics at scale? Do you enjoy solving complex platform and operational challenges in a fast-paced, collaborative environment?

Mercedes-Benz USA is looking for a Lead BI Platform Engineer responsible for the end-to-end ownership of enterprise visualization platforms, including Power BI (Microsoft Fabric) and Tableau.

This role combines platform engineering, operations leadership, and analytics enablement, with a focus on:

• Reliability, scalability, and cost-efficient platform operations

• Governance and standardization across BI ecosystems

• Leadership of day-to-day operations and offshore support execution

• Enablement of enterprise-wide self-service analytics and data consumption

You will work across multiple business domains including Remarketing, Aftersales, Customer Assistance Center, Sales, and Marketing to deliver consistent, high-quality analytics experiences.

Responsibilities

The tasks include, but are not limited to:

1. Platform Ownership & Governance

• Own and manage Power BI Fabric capacities and Tableau Server environments, ensuring availability, scalability, and cost efficiency

• Define and enforce enterprise governance standards across workspaces, datasets, semantic layers, and access models

• Lead capacity planning, workload management, and cost optimization for Fabric and Tableau platforms

• Drive standardization and rationalization of BI assets to reduce duplication and improve scalability

2. Operations & Support Leadership

• Lead day-to-day BI platform operations, ensuring uptime and service reliability

• Manage and oversee offshore support team, including ticket prioritization, SLA adherence, and workload distribution

• Act as primary escalation point for critical incidents and platform issues

• Conduct root cause analysis (RCA) and drive issue resolution and prevention

• Establish and maintain standard operating procedures (SOPs) for platform support and operations

3. Performance & Reliability Engineering

• Monitor platform usage, performance, and health metrics to proactively identify issues

• Optimize dataset performance, query execution, report load times, and gateway connectivity

• Implement monitoring and alerting frameworks to ensure proactive issue detection

• Partner with infrastructure teams on scalability, resilience, and capacity improvements

4. Architecture & Infrastructure Alignment

• Collaborate with infrastructure team to ensure Power BI architecture and roadmap align with evolving BI, AI, and business operational needs

• Ensure accessibility, organization, and integration of data sources to enable seamless data flow, analytics, and use-case development

5. Self-Service BI Enablement

• Define and promote best practices, frameworks, and templates for BI development

• Enable self-service analytics through curated datasets and semantic models

• Provide guidance and working sessions to improve report quality and usability

• Ensure alignment with data governance and security standards

6. Data & Analytics Engineering Support

• Support development of analytics-ready semantic layers and data models

• Develop proof-of-concepts (POCs) and MVP dashboards to accelerate business adoption

• Assist in deployment and validation of reports into the enterprise ecosystem

• Leverage SQL and Python for data transformation and automation where required

7. Stakeholder & Vendor Management

• Build and maintain relationships with business partners and platform teams

• Support Tableau Salesforce activities, including administrative licensing, upgrades, and decommission initiatives

• Collaborate with MBAG central teams, Microsoft, and external vendors to resolve issues and implement enhancements

8. Continuous Improvement & Innovation

• Drive adoption of modern BI capabilities within Microsoft Fabric

• Continuously improve platform performance, governance, and operational efficiency

• Collaborate with global eXtollo and ALICE counterparts to align with corporate strategies and share best practices

• Promote Power BI literacy and AI understanding across VP areas, supporting adoption of Power BI Apps and enterprise reporting solutions

• Foster a data-driven and AI-enabled culture where insights are actively used to inform business decision-making

Qualifications

Education:

University degree or above in Computer Engineering, Computer Science or related field.

Knowledge, Skills & Abilities:

• 6+ years of experience in BI platform engineering, administration, or analytics engineering

• Strong hands-on experience with:

o Microsoft Power BI (Fabric capacities, semantic models, gateways)

o Tableau Server administration and architecture

• Experience in:

o Platform operations and SLA-driven support models

o Capacity planning, performance tuning, and optimization

o Managing offshore or distributed support teams

• Strong experience with SQL and Python

• Understanding of data lakehouse and cloud architectures (Azure preferred)

• Experience defining and managing semantic layers and reusable datasets

Additional Information:

Must be able to work flexible hours/work schedule

• Travel domestically and internationally as needed

• Work holidays or weekends when required

• Strong ownership mindset with ability to drive issues to resolution

• Strong stakeholder communication and prioritization skills

• Experience mentoring peers and leading operational teams

• Self-starter with ability to operate in a fast-paced environment

EEO Statement

Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.