Berlin Metropolitan Area
I help data leaders turn technical excellence into real influence. Most people are promoted in data because they’re great at execution. Very few are taught how to lead once the job becomes about decisions, alignment, and trust instead of output. That’s where I work. I’ve spent my career leading organization-wide data transformations, building and operating modern data platforms, and developing analytics capabilities that actually get used. But the work that matters most isn’t technical - it’s human. Clear ownership. Reliable decision-making. Strong partnerships. Calm leadership under pressure. I’m known for being deeply dependable. I believe trust resolves more problems than any framework ever will and I design leadership systems that make trust operational, not aspirational. Today, I focus on coaching and guiding data leaders and cross-functional teams to: 1. move from delivery to direction 2. build credibility with stakeholders and executives 3. lead without burnout or constant escalation 4. create data cultures that stick I work best with leaders who want clarity, not theatrics and who care more about sustainable impact than personal performance. Collaboration is the foundation of everything I do. As my career continues to evolve, I’m always open to meaningful leadership conversations, partnerships, and opportunities where thoughtful data leadership can make a real difference. Core strengths • Data & Analytics Leadership • Organizational Design & Process Redesign • Stakeholder Alignment & Decision Design • Performance, KPIs & Operating Rhythms • Team Coaching & Leadership Development • Data Platforms & BI (Tableau, Power BI, Looker, Sisense) • SQL, dbt, Python, Alteryx • Building Trust Across Functions I don’t aim to just meet expectations. I aim to remove friction so teams can do their best work, calmly and consistently. If that resonates, feel free to connect or reach out at [email protected] . I’m always open to thoughtful conversations.
As Vice President of Data and Analytics at Zeal Network, I lead the transformation of data into a strategic asset powering growth across multiple digital lottery and e-commerce brands. I oversee a multi-disciplinary team spanning Data Engineering, Analytics Engineering, Business Intelligence, and Data Science, with a growing focus on production-grade AI and machine learning use cases. Together, we deliver data products, experimentation platforms, self-service analytics, and marketing attribution frameworks—all aligned to Zeal’s business strategy. My role includes modernizing our data stack (Redshift, dbt, Tableau), embedding AI into customer engagement and personalization efforts, and establishing scalable processes for deploying ML models. I collaborate with leaders across Product, Marketing, Technology, and the Executive Board to shape the future of data-driven decision-making at Zeal.
I help data managers become the leaders executives include in the room, and the leaders their teams will follow into the AI shift. Most data careers don't stall because of a skill gap. They stall the moment the rules change and nobody tells you. The technical excellence that got you promoted (precision, depth, getting it right) isn't what earns you the next seat. Communication, influence, and visibility do. Technical skills get you hired. Communication, influence, and visibility decide how far you go. That's where I work. I coach data leaders to: 1. Shift from execution to direction. Stop being a senior IC with a manager's title. 2. Communicate at executive level. Fewer slides, sharper decisions, real outcomes. 3. Build trust and alignment across functions without burning political capital. 4. Lead through ambiguity, change, and the disruption AI is creating. 5. Grow scope and impact without burning out or over-performing. Two ways I work: 1:1 coaching for data leaders who want a thinking partner. Someone who's been in the seat, knows the politics, and won't sell you a framework when what you need is a sharper question. OR From Data Manager to AI-Ready Leader, my cohort-based course on Maven. Four live sessions on communication, leading through AI, and the operating system that gives you your week back. Eighty-five percent is about how you communicate, not what you know. Every framework comes with an example, an exercise, and a template you can use the same day. I don't teach generic "soft skills." I help leaders design clear ownership, decision rhythms, and communication habits that make leadership sustainable instead of performative. If you're in that gap, you're not behind. You're at the point where the work changes, and that's where this work begins
As Head of Data Platform and Analytics, I was entrusted with building a revenue line dedicated to create data monetization across Digital Charging Solutions’ diverse business lines. My focus was on building a resilient data platform, developing scalable internal analytics capabilities, and strategically identifying AI/ML data products to create new revenue opportunities. Although I left after 6 months, we accomplished the following items: 1. Data Platform Modernization: Spearheaded the design of a modernised, modular data platform (and completed it) to ensure scalability and facilitate single source analytics and data products. 2. Revenue-Driven Data Product Development: Developed a 18 month roadmap for high-impact data products, which would leverage AI/ML insights to create revenue-generating opportunities focussed on increasing customer activation and usage. Started implementation and was running on schedule. 3. Internal Processes: Implemented processes to align organization on key data product development as well as internal team processes to increase efficiency by over 60%.
Responsibilities: As the leader overseeing Wayfair's supply chain analytics functions, I orchestrate a multi-national, cross-functional team of 35 professionals. This team includes Data Engineers, Analytics Engineers, Business Intelligence Analysts, and Data Scientists. My purview extends to overseeing Wayfair Operations’ data architecture, data governance and cutting-edge technological tools, all in service of our ambitious objectives. Collaborating closely with internal and external stakeholders across both the EU and North America, my mission is to forge a path toward seamless end-to-end data visibility, driving product development, analytics, data science, and ML/AI efforts while promoting engagement in performance management. Key Achievements: 1. Effectively championed and executed the transition of our data architecture from a monolithic structure to a modularized approach, involving managing over 8000 tables, tracking 1000+ metrics, and integrating more than 70 tools which achieved enhanced long-term scalability while streamlining the team size from 53 to 35 individuals. 2. Facilitated cross-domain collaboration, leveraging data and analytics to optimize operations and improve process efficiency. This initiative resulted in a 25% reduction in turnaround time for critical time from question to insight, leading to enhanced productivity across our multinational teams. 3. Aligned tech and data teams, fostering synergy to achieve shared organizational goals. This collaborative effort resulted in a 15% reduction in project delivery time for projects requiring infrastructure development 4. Championed strategic long-term plans across stakeholder teams, igniting high-impact, high-value initiatives. These forward-looking strategies have yielded impressive results: a 30% reduction in tickets and a surge in projects delivered on time and within budget by program launch dates.
Responsibilities: I spearheaded the strategic transformation of the company into a robust, data-driven organization, overseeing the development and execution of a forward-thinking data and advanced analytics strategy. Through process optimization and adherence to industry standards, I ensured the seamless integration of data-centric practices across the entire organization. In my leadership role, I fostered collaborative partnerships with cross-functional teams, particularly in Product, Marketing, and Operations. Beyond technical oversight, I assumed responsibility for Wunderflats' data architecture and technological infrastructure, driving innovative data analysis initiatives to fuel our market expansion efforts. Key Achievements: 1. Process Modernization and Industry Insight: Conducting a thorough analysis of existing processes, I led efforts to establish a robust market research function and streamline Machine Learning and Data Science operations, resulting in industry-leading performance. 2. Workforce Expansion and Data Fluency: Guiding the team's expansion from two to 13 members, I prioritized enhancing corporate data literacy, effectively aligning with enterprise needs and executive objectives. 3. Conversion Rate Optimization and Revenue Growth: Through the implementation of advanced recommendation systems and ranking algorithms, we achieved a significant 27% increase in conversion rates, driving a corresponding 20% growth in revenue generation. 4. Data Maturity and Organizational Scaling: Drove executive team by orchestrating the implementation of robust data governance practices and the alignment of KPIs, streamlining decision-making processes at the executive level. Evidenced a substantial 40% improvement in key performance metrics. 5. Seamless Data Scaling Initiative: Advocating for the adoption of dbt for data scaling, I reduced data transformation time by 30% and minimized downtime to less than 0.1%, enhancing overall operational efficiency.