• Lead marketing and sales activities related to ABB’s products, systems, and services within the Data Center industry segment in Germany. • Ensure that the division and related sales units substantially improve their sales performance, profitability, market share, and customer satisfaction. • Develop and implement a market-based strategy for the DC segment — including direct, third-party, and project-based sales. • Drive cross-division and cross-region collaboration to strengthen ABB’s market presence. • Coordinate and steer Data Center projects within the German and international ABB organization. • Expand and strategically develop the Data Center segment in Germany. • Develop application concepts in medium voltage, low-voltage switchgear (NSHV), and UPS systems. • Build strong relationships with key customers and external stakeholders. • Design and execute marketing campaigns and plans in collaboration with German and international marketing teams. • Represent ABB in relevant industry associations and working groups. • Activate market intelligence and benchmarking to identify industry trends, product gaps, and competitor strategies.

• Generating new business, increasing ABB market share and exceeding the target sales figures with profitable growth for the ABB Group Data Center portfolio in the assigned sub-segment. • Manage and take ownership of assigned customers for all product lines, including orders, forecasting and issue resolution. • Engage with colleagues including global, regional and country segment leads to develop and deliver action plans that secure new and existing opportunities. • Collaborating with Product Managers, hold training seminars and other events to promote ABB Solutions in the assigned sub-segment through internal sales, channel partners, consultants, contractors, OEM and end-users.

• Lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. • Own the company’s experimentation strategy and enterprise BI function. • Partner closely with data engineering to build reliable, scalable end-to-end data pipelines. • Define and scale experimentation strategy. • Ensure rigorous A/B testing and incrementality measurement. • Own executive dashboards and enterprise reporting. • Develop and maintain a trusted metrics layer with clear governance and definitions. • Lead applied data science across personalization, marketplace dynamics, pricing, segmentation, and lifecycle modeling. • Partner with ML teams to ensure strong model evaluation and business impact measurement. • Serve as a strategic advisor to executive leadership on data-driven growth strategy.

• Own SMB methodology strategy across formation, banking, accounting, payroll, payments, communications, HR, lending and business operations software. • Define clear, defensible evaluation frameworks that reflect SMB user needs, market realities and update cadence. • Shape proprietary SMB metrics and structured datasets for rankings, editorial use and potential data products. • Define research and data collection requirements; partner with testing, data and research teams to ensure evidence quality. • Establish quality standards for SMB methodologies, scoring models, documentation and analyst work. • Mentor analysts and serve as the internal SME for SMB market dynamics, methodology design, and data quality. • Partner with editorial, SEO, product, commercial, testing and data teams to translate methodology into credible rankings and scalable data products.