Tsvetina Bacheva

I help organizations bridge the gap between ambition and execution by designing and implementing Data & AI strategies that drive measurable business impact. Through tailored engagements, from leadership advisory to hands-on team enablement, I support companies in building resilience and unlocking new opportunities in an evolving technological and economic landscape. What I do: - Strategy & Roadmaps → Align Data & AI initiatives with business goals. - Audits & Maturity Assessments → Diagnose capabilities, risks, and opportunities. - Advisory Sessions → Guide executives and boards on AI adoption and governance. - Workshops & Seminars → Upskill teams with practical Data & AI expertise. - Keynotes & Public Speaking → Inspire and align stakeholders at all levels.

Led the group-wide Data & AI transformation across multiple companies in civil engineering, infrastructure and environmental services. - Defined and executed the group’s Data & AI strategy including use cases roadmap, governance, infrastructure, training programs. - Supported 15 business units in launching and managing their Data & AI initiatives – bridging business goals with technical delivery. - Designed scalable methods for building Data & AI products, including innovative business model components. - Led a multidisciplinary team of experts: Product Managers, Data Scientists, Engineers, Architects, Developers. - Delivered impactful AI solutions across sectors like biodiversity (Computer Vision models), urban hydraulics and mobility (predictive models using time series data), engineering reports analysis (NLP, LLMs).

Brought in to scale Data & AI operations by building the product organization, roadmap, and governance across business units. - Defined and implemented a new organizational model for multidisciplinary data product teams to support rapid scaling of AI initiatives. - Designed the company-wide AI use case roadmap and secured yearly budget allocations for product teams. - Led a team of Data Product Managers across multiple business domains: Goods, Marketing, Finance, Supply Chain, Purchasing, and Point of Sale.

Led AI Strategy consulting missions for major clients across industries, while building internal offers, tools, and talent development programs. - Owned the company’s AI Strategy consulting offers: Use case roadmap, Data governance and Trustworthy AI. - Recruited and mentored multidisciplinary teams: Business Consultants, Data Scientists, ML Engineers. - Led through public speaking, video content, and published materials. Key Client Engagements & Impact: - Legal publishing : Designed a hybrid data organisation (centralized Data Science team and decentralized Data sponsors and Data owners) to improve governance and execution of Data & AI initiatives. - Insurance: Defined the Group AI roadmap using structured evaluation of ROI, feasibility, and make-or-buy options. - Marketplace: Defined and implemented Data Science product management framework (phases, milestones, roles and responsibilities); Led 3 prototypes (sentiment analysis, anomaly detection and product deduplication) and one industrialisation project (product categorization). - Automotive: Contributed to the group-wide AI strategy resulting in €6M impact in 2019 and €15M projected in 2020.

Led strategic operations and performance improvement projects across multiple industries, combining data analysis and process redesign to drive measurable impact. Key Client Engagements & Impact: - Railway construction: Implemented a review process of a 9B euros project to ensure contractual milestones and KPIs are met; Reported project results to the board of directors. - Defence and aerospace: Reduced storage space by 50% and cost by 70% by analysing and improving the order and stock management processes. - Luxury retail: Improved the manufacturing process of leather goods by collecting and analysing quantitative data from test equipment. - Other sectors: Insurance, Ophthalmic optics, Airlines, FMCG, etc.

Chair of Services and Technology Marketing Chair of Information Systems - Reviewed and edited lecture materials and scientific papers. Contributions to the following publications: - Krcmar, H. et al. “Webbasiertes Projekt-Coaching“, Eu-Verlag, 2006; - Rudolph, S. “Servicebasierte Planung und Steuerung der IT-Infrastruktur im Mittelstand“, dissertation TUM, 2008