Location: Ames, IA | Hybrid

Job Description

Head of Data Domain Software – Global Role
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

Your defining qualities

• 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