The Global Head of Sales Data Domain Management is the global owner of Siemens sales data foundation. In this high-impact leadership role, you will be instrumental in shaping the architecture foundational the underpins both our entire seller and customer journeys. You will drive harmonization of our data governance and sales tooling ecosystems, driving both innovation and efficiency globally worklng closely with IT, relevant sales and other business stakeholders.
You will lead a team of experts and collaborate closely with Sales, IT, and corporate functions to ensure that sales data is accurate, accessible, and consistently structured across business units and regions. This role drives company-wide alignment in sales data management and governance.
Your work will enable data-driven decision-making, improve sales productivity, and unlock measurable business value by harmonizing and governing sales data as a strategic asset.
Youll create impact by
1. Sales Data Strategy & Governance
- Owning the vision for the global sales data domain and aligning it with business objectives.
- Defining data ownership, stewardship, and accountability across the sales data landscape.
- Establishing governance structures to ensure data quality, consistency, and compliance.
- Embedding governance into policies for data usage and lifecycle management, including regulatory requirements.
2. Data Architecture & Integration
- Defining and driving implementation of a gobal E2E architecture for Siements sales domain in close partnership with IT, ensuring it supports unified seller and customer journeys.
- Driving harmonization of sales data models across divisions and regions.
- Enabling seamless integration of sales data across the application landscape (CRM, ERP, CPQ, sales enablement tools).
- Staying ahead of industry trends and emerging technologies to refine and enhance the sales data strategy.
3. Sales Data Operations & Quality
- Ensuring robust processes for building and managing data products aligned with sales objectives.
- Driving overarching data quality rules, KPIs, and scorecards to guarantee accuracy, completeness, and reliability of sales data.
- Steering prioritization and investment for sales data initiatives in line with organizational goals.
- Embedding a culture of continuous improvement in data operations.
4. Collaboration & Leadership
- Leading, developing, and growing a global team (currently ~8 FTE, with potential expansion).
- Acting as the diplomatic glue between sales, IT, and corporate functions to align diverse interests.
- Serving as a key interface to global transformation programs, ensuring alignment and joint success.
- Engaging closely with country sales organizations to understand needs and translate them into globally scalable data solutions.
Your defining qualities
Education & Experience
- Masters degree in Business Administration, Information Management, Computer Science, or a related field.
- Extensive experience in data management, including proven success in leadership roles.
- Strong background in sales operations and sales systematics; able to translate sales requirements into data frameworks.
- Proven success in implementing data governance and architecture strategies in complex, global organizations.
Technical & Business Skills
- In-depth knowledge of data management principles, domain architecture, and governance frameworks.
- Fluency with sales processes, CRM systems, and related data landscapes.
- Strong grasp of data quality assurance, KPIs, and lifecycle management.
- Ability to connect strategic vision with practical adoption across global matrix organizations.
Leadership & Soft Skills
- Strong leadership experience in managing and developing high-performing, diverse teams.
- Excellent influencing, communication, and stakeholder management skills from country sales leaders to IT executives.
- Strategic thinker with proven ability to
navigate complex politics and build consensus across business units
. - Inspirational leader who can balance long-term vision with pragmatic delivery.
Desirable Qualifications
- Experience in the automation industry or related sectors.
- Familiarity with enterprise-scale business processes and data landscapes.
- Certifications in data management (e.g., DAMA, CMMI).
- Proficiency in English; German or other languages are a plus.
