Head of Data Analytics

4 weeks ago

Pune, India Siemens Full time

Job Description Role Overview: - Lead and develop an international team of data experts to deliver advanced analytics solutions. - Own the design and implementation of scalable DataOps pipelines and modern data architecture. - Serve as a consultant, mentor, and enabler to internal stakeholders and other data teams. - Drive digitalization and operationalization of data and AI initiatives across Siemens Mobility. Key Responsibilities: Team Leadership & Development - Lead an international team of 10 data experts, fostering high performance and continuous learning. - Mentor and enable internal customers and other data teams to leverage analytics solutions. - Create visibility for team activities, communicate successes, and demonstrate business value. Data Architecture & Analytics - Shape and maintain overall data architecture, including data models, metadata standards, and security practices. - Lead technical ownership of key data analytics projects and coordinate with business stakeholders. - Implement production-ready DataOps pipelines to operationalize analytics solutions. - Continuously innovate the modern data stack, incorporating new tools, products, and technologies. Consulting & Stakeholder Management - Act as a trusted advisor to business stakeholders on data-driven decision-making. - Provide guidance on data modeling, governance, and best practices in analytics. - Ensure alignment of data initiatives with enterprise strategy and digitalization goals. Required Qualifications & Experience: - University degree in IT, Engineering, or a related field. - Extensive experience with data modeling frameworks such as Data Vault, Dimensional Modeling, Kimball, and Inmon. - Expert programming skills in SQL and preferably Python. - Deep understanding of modern CI/CD pipelines and agile software development for data and AI projects. - Working experience with cloud platforms (AWS, GCP, Azure) and associated data warehousing/analytics tools (Snowflake, dbt Cloud). - Proven experience leading and managing high-performing data teams. - Strong command of English; German is a plus.

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