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Head of Data Analytics

Head of Data Analytics

Siemens

8 - 13 years

3 - 5 Lacs

pune maharashtra india

Posted:3 days ago| Platform: Foundit logo

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Skills Required

dataops

Work Mode

On-site

Job Type

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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