Guiding Strategic Planning, Operational Controls, and Change Management to Build Profitable Organizations in Challenging Markets

7/2024 – offen

1. Product Owner and Program Manager
As an expert in program and project management, I took full responsibility for orchestrating complex, multi-phase programs.
As a Product Owner took over end-to-end project lifecycles, ensuring success and business value focus of strategic initiatives.
Utilized a best practice approach to risk management, issue resolution, and stakeholder engagement, ensuring every program exceed expected outcomes.
2. Visionary Leadership in Data Analytics & AI
Defined a long-term programmatic strategy for the evolution of data analytics and AI capabilities, ensuring every project contributes to the broader vision of innovation and industry leadership.
3. Interdisciplinary Program Team Development
Built and managed interdisciplinary project teams from various sectors, driving collaboration and efficiency to deliver on complex, multi-layered programs. Fostered a team culture of excellence, ensuring project managers and team leads could execute efficiently while adhering to a unified vision.
4. Consultative Program Guidance
Offered consultative expertise to clients on the structuring of value-driven, results-oriented programs, tailoring project designs to meet specific business objectives.
Guided clients through the program management process to elevate their data maturity, leveraging AI and external data integration to enhance business outcomes.
5. Data-Driven Agile Program Structures
Implemented data-centric organizational programs that enabled scalable project management processes, prioritizing data and analytics, as well as master data management as the core driver of decision-making. Established frameworks for Agile Governance within project execution.

IT-Projektleiter

9/2021 – 6/2024

1. Program and Project Management
2. Product Owner / SCRUM Master
3. Data & Analytics Vision and Strategy
- Established a clear Data Analytics & AI vision and strategy
- Shaped the long-term development of customers by leveraging data and analytics capabilities
- Emphasizes innovation and drove initiatives to stay at the forefront of the industry
4. Cross-Industry Team Building
- Build a new, interdisciplinary team that brings together professionals from various industries
- Developed a cohesive team structure and fostered collaboration across different domains
5. Consultative Approach
- Provided expert advice to clients on value-driven use cases, where business objectives and quantifiable benefits drive the design of technical architectures
- Assisted clients in achieving the necessary level of data maturity to implement artificial intelligence (AI) and incorporate external data sources
6. Data-Driven Organizational Culture
- Promoted the integration of data and knowledge into the core operations of the company
- Established data-driven organizational structures that prioritize data and analytics capabilities
- Advocate for data sharing, the integration of external data, and implements Agile Governance through the Data Intelligence Offensive (DIO) initiative
7. Showcasing Data Capabilities
- Demonstrated the potential of leveraging LLMs on structured enterprise data to showcase the possibilities of data and analytics within the organization
- Illustrated how the application of advanced technologies can transform business processes and enhance decision-making

Projektmanagement (IT)

8/2017 – 7/2021

Head of Business Intelligence
• Personnel and P&L responsibility
• BI Strategy and Governance
• Digitization, Big Data & Analytics visionary
• Product Owner
• Agile Transformation
• Establishment of the Innovation Lab
Owned P&L accountability for SAP BI and Microsoft BI.
Development of vision, strategy, goals and measures for the data and analytics area including Big Data and Microsoft Azure.
Merging and further development of the SAP and Microsoft BI units.
Evaluation and implementation of cloud possibilities and hybrid scenarios.
Coordinating and streamlining with the Data Science, Data Engineering and Microsoft Azure Operations Units.
Establishing a tool independent and unified BI landscape, considering a target Master Data view.
Development and internal marketing of data analytics use cases.
Agile transformation of the Data & Analytics area, as well as the internal customers.
Implementation of processes, structures, methods and procedures for better customer orientation and collaboration with departments and the project management.
Active collaboration with 15 business departments at top management level, with strong focus on controlling, accounting and personnel management.

Projektmanagement (IT)