Zurich, Zurich, Switzerland
I am a seasoned Product Manager with a robust background in AI and Data Science, dedicated to crafting strategies and products that drive meaningful impact. My approach is defined by curiosity, authenticity, and leadership, and I thrive in environments that champion innovation and collaboration. Skilled in navigating complex stakeholder landscapes and building high-performing teams, I have achieved substantial advancements in data-driven product development. I highly value responsibility, influence, and enjoyment in my work, and I continuously seek challenges that enhance my capabilities. I am passionate about tackling leadership challenges in the tech sector and aim to design products that enrich users' lives. I focus on strategic leadership and fostering personal connections to cultivate a culture of trust and innovation.
• Enhanced team atmosphere by fostering trust, empowerment, and conducting vision workshops, leading to an increase in team commitment and productivity. • Streamlined backlog management by adopting the epic-feature-story structure, creating a comprehensive story map to prioritize features based on impact. • Developed a product strategy and roadmap aligned with Migros corporate goals, contributing to ambitious expansion plans (+140 stores) by improving efficiency, speed, and precision of expansion teams. • Navigated complex environments involving 10 co-operatives and multiple departments, forging strong relationships with senior stakeholders to influence decision-making. • Implemented user analytics to optimize tool usage, driving data-driven decision-making processes. • Managed P&L for a team of 9 Data Scientists, Analysts, and Engineers, overseeing a budget of CHF 2.5 million. Developed products: • Expansion Efficiency: Introduced tools that reduced manual work by 60% in identifying whitespot regions, while retaining a 90% accuracy enhancing expansion planners' effectiveness. • Decision Transparency: Replaced a black box prediction algorithm with an interpretable tool, improving transparency and effectiveness in expansion decisions. • Customer Segmentation: Implemented five machine learning algorithms to segment customers by life stages, advertising affinity, and shopping preferences, delivered via APIs resulting in a significant increase in response rate.
• Developed product strategy for a cross-organizational data ecosystem and evaluated technology for data platforms to secure buy-in from C-level. • Led use case discovery workshops in generative AI for the insurance sector shaping exemplary use cases that were used for business development activities. • Conducted vision and scope workshops with clients, staff, and business stakeholders to gather requirements and shape a generative AI-based chatbot for customer support for a large telecommunications company. • Independent preparation of offers in the area of Data & AI and support of Business Development in sales activities and proposal creation
• Managed a global transformation initiative to scale the data science offering, doubling the headcount to 70 and increasing revenue from data-projects by 50%. • International collaboration with senior management across the company • Drove strategy development and value proposition workshops and developed project and risk plans, enhancing organizational transformation readiness. • Close interaction with change agents across the company
• Management of various proposals with value between 500k and 15m. • Overseeing and leading the bid process to ensure timely and high quality results. • Support engagement management on bid strategy, pricing, staffing and storyline creation • Collaboration with technology experts on solution design • Development of high quality proposal presentations • Coaching of Junior Proposal Manager
• Business analysis for projectcoping • Explorative data analysis, data visualization and presentation • Research of the topic interpretability of machine learning models
• Feasibility study of computer vision approaches for industrial applications • Industry-specific synthesis of machine learning use cases • Development of a dashboard for data visualization with Python Dash • Development of a Python Dash component with JavaScript React