Oliver Kenklies
Angestellt, IT Project Lead / Senior Consultant, Mercedes-Benz Consulting GmbH
Student, Part-time Master of Business Administration (MBA), WHU – Otto Beisheim School of Management
Stuttgart, Deutschland
Werdegang
Berufserfahrung von Oliver Kenklies
Bis heute 1 Jahr und 5 Monate, seit Jan. 2023
IT Project Lead / Senior Consultant
Mercedes-Benz Consulting GmbH- Implementing intelligent sales solutions and enabling IT transformation initiatives as a Project Lead - Advising four IT Product Owners and Management in rethinking global Sales Operations - Developing real-world Data Science use cases as a Data Science and AI Multiplier - Acquiring customers and writing concepts and whitepapers for external business development
- Implementing intelligent sales solutions and enabling IT transformation initiatives - Advising IT Product Owners and Management in rethinking global Sales Operations - Developing real-world Data Science use cases as a Data Science and AI Multiplier - Acquiring customers and writing concepts and whitepapers for external business development
2 Jahre, Jan. 2020 - Dez. 2021
IT Project Manager / IT Consultant
Mercedes-Benz AG
Overall Project Manager and Work Package Lead for Project FUTURE and LEO in the area of IT and Sales. In charge of the implementation of legal/fiscal changes in an SAP system in preparation of the separation of Mercedes-Benz Cars and Daimler Trucks for ten European markets in 2020 and 2021. Responsibilities in Scope-, Time-, Cost-, Quality-, Risk-, HR-, Communication-, Procurement/Supplier- and Integration- Management (via Brunel GmbH)
6 Monate, Mai 2019 - Okt. 2019
Final Thesis in Business Strategy / Sales Operations and Data Analytics
Daimler AG
Titel: “WLTP as a parameter for CO2 optimized configuration of built-to-stock vehicles with an algorithm based on the example of Daimler AG.” Outcome: Implementation of the proposed solution in the production system. Supporting business strategy by reducing fleet emissions and increasing sales revenue.
7 Monate, Okt. 2018 - Apr. 2019
Business Analyst
Daimler AG
- Coordinated the rollout of a data-driven vehicle configuration algorithm in the role of a PMO - Analyzed sales data, improved the algorithm, and created a Roles and Responsibilities concept for a multinational project team - Managed the back office for work package testing in project "Retail of the future" alias "Vertrieb der Zukunft" - Established and organized market communications and clarified the project scope for 32 markets worldwide for SAP projects in the role of a headquarters SPOC
6 Monate, Okt. 2017 - März 2018
Project Management Officer
Daimler AG
- Organized and coordinated project communications and workshops for an SAP project in the role of a PMO, supporting the project lead - Supported the enhancement track to manage functionality and change requests in an SAP system - Tracked the scope and supported during the MVP phase of the strategic IT/Sales project "Retail of the Future" alias "Vertrieb der Zukunft" - Developed and operated an event app for IOS for a multinational team event
7 Monate, Nov. 2013 - Mai 2014
Junior Manager
Charity Organisation Perth, Australia
General management, reporting, accounting, employee recruitment, logistics and presentations
Ausbildung von Oliver Kenklies
Bis heute 3 Jahre und 5 Monate, seit 2021
Part-time Master of Business Administration (MBA)
WHU – Otto Beisheim School of Management
2020 - 2021
Executive Program in Computer Science / Artificial Intelligence / Management
MIT Sloan School of Management and MIT CSAIL
Focus on: - Data Science and Big Data Analytics: Making Data-Driven Decisions - Artificial Intelligence: Implications for Business Strategy - Business Process Design for Strategic Management
6 Monate, Sep. 2016 - Feb. 2017
Semester Abroad
National Kaohsiung First University of Science and Technology
Strategic management (semester abroad)
5 Jahre, Okt. 2014 - Sep. 2019
Business and Engineering
University of Applied Science Würzburg/ Schweinfurt
Sprachen
Deutsch
Muttersprache
Englisch
Fließend
Spanisch
Grundlagen
Chinesisch
Grundlagen