Senior Program Manager

Role: Senior Program Manager (L5) - Cloud Data Platform & Data

The team portfolios include:

• Platform Engineering: Development of an Azure-based Data and Analytics platform for Big Data use cases. Platform Consolidation and steering One Azure platform strategy from Cloud perspective.
• Product Engineering: Development of products facilitating the Data Worker Journey.
• Data Governance: Building the Data & AI products to enable Data governance aspects across the organization

Communication and Stakeholder Interaction

The role requires constant, frequent, and occasional communication with internal and external stakeholders, including managers, employees, team members, corporate functions (Finance, HR, Facilities), MBRDI suppliers, and candidates. Communication aims to ensure alignment with business strategies, project updates, and stakeholder satisfaction.

Key Responsibilities and Task Distribution

The roles main tasks are categorized with approximate time allocation:

1. Functional Capabilities

• Steering and executing deliverables aligned with MBAG IT Strategy.
• Focus on pillars like Tech Front Runner, Radical Standardization, AI adaptation.
• Team building, architectural design, and end-to-end project delivery.

2. Project Ownership

• Leading technology teams to meet business deliverables with quality and timeliness.
• Driving business growth through project and resource expansion.
• Leading change management and acting as a change agent.
• Facilitating cross-functional collaboration and fostering co-creation culture.
• Maintaining stakeholder satisfaction through regular communication and trust-building.

3. People Management and Compliance

• Talent acquisition, coaching, development, and career management.
• Building a culture of inclusivity, empathy, and psychological safety.
• Financial stewardship through budget and manpower planning.
• Ensuring compliance with statutory and internal policies.

Compliance and Commitment

The jobholder must ensure adherence to all group and location rules, including compliance regulations, safety, data protection, work safety, environmental regulations, and working hours.

Qualifications and Experience

• Education: B.E. (any field) or M.B.A. in General Administration or equivalent.
• Experience: Minimum 12+ years in automotive tech or software engineering.
• Expertise in managing projects with growth impact, digitalization initiatives using KPIs, and strong knowledge of Azure cloud platforms and Data & AI landscapes.
• It will be good to have AWS know how .
• Innovation contribution and intercultural awareness, promoting diversity and inclusion.
• Proficiency in driving data strategy from demand management to implementation.
• Trusted advisor capabilities with proactive communication on operational status, risks, and issues.
• Product conceptualization using design thinking, business canvas, and open-source approaches.
• Leadership in internal consulting, stakeholder management, cost optimization, vendor management, and adherence to Mercedes-Benz IT governance and methodologies.
• Promoting continuous improvement and innovation, participation in data communities, and organizational initiatives .

Specific Technical Knowledge and Skills

• Software development background with Python and React/JS family.
• Experience in Agile development teams with SAFe, Scrum, Kanban, and DevOps methodologies.
• Strong stakeholder management and interpersonal skills.
• Experience working in international teams.
• Knowledge of Big Data technologies like Apache Spark, Kafka, NoSQL databases.
• Hands-on experience with cloud providers such as AWS, Azure, or GCP.
• Cloud-native development, Linux OS, containers, Kubernetes, and networking skills.
• Business fluent in English; German language skills are an advantage .