Head of Data Domain Software

Location:

Flexible within Siemens global operations

At Siemens, software is one of the fastest-growing parts of our business — and data is what drives it. From subscription and SaaS growth to revenue forecasting, pricing, and integrating acquired companies, data fuels our decisions and enables our success. Siemens Digital Industries Software is seeking a bold and experienced leader to shape the future of data management and analytics for our software business.

Do you have what it takes to bridge the gap between technology and business? Are you ready to lead a globally distributed team of data experts and work with leaders across Finance, Sales, and Marketing to drive value through data? If so, this is your opportunity to make an impact.

You’ll make a difference by

Leading the Data Domain Software team and taking it into its next chapter

Transforming a mature analytics landscape into a focused, governed, and AI-ready portfolio of data products

Collaborating with Finance, Sales, and Marketing leaders to define the domain's strategy, roadmap, and priorities

Driving the integration of acquired companies into the domain’s data landscape

Leading the AI transformation, ensuring data products are AI-ready and enabling the use of GenAI, AI agents, and AI-assisted engineering

Managing the domain’s data product portfolio, from demand intake and prioritization to lifecycle decisions and governance

Fostering a data-driven culture across Siemens and positioning the Software domain within the federated IT DA data domain model

Steering talent acquisition and development strategies to sustain a robust and high-performing data team

Applying cutting-edge cloud technologies, data platforms, and agile methodologies to deliver impactful solutions

A degree in IT, Engineering, Economics, Finance, or a related field

8+ years of experience in data management and analytics, ideally within the software industry or in finance, sales, or marketing analytics

Proven leadership experience managing globally distributed data teams, including external partners

Strong knowledge of software business models (e.g., SaaS, subscription) and relevant KPIs

Expertise in data product management, governance, and modern cloud data platforms (e.g., Snowflake, dbt, AWS)

A hands-on understanding of GenAI, AI agents, and AI-assisted engineering, with the ambition to lead the AI transformation

Familiarity with CRM, ERP, and planning systems such as Salesforce, SAP, and Anaplan

Exceptional communication skills, with the ability to engage senior stakeholders and influence data-driven decisions at the leadership level

Fluency in English; additional language skills are a plus