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Assessing your cultural and operational fit
Helping organizations turn ESG data into insights that drive strategy, risk mitigation, compliance & stakeholder trust
Navigating ESG and sustainability is no longer just compliance but a strategic imperative. Business leaders are under increasing pressure to manage risk, meet stakeholder expectations, and make data-driven decisions that align with evolving sustainability standards. Many organizations struggle with: - Stakeholder pressure and access to capital tied to sustainability performance - Reputational risk and fines resulting from mismanaged disclosures or greenwashing - Limited visibility for strategic decision-making due to scattered, siloed ESG data - High costs driven by manual, error-prone reporting processes At Novisto, we help organizations turn ESG data into insights that drive strategic planning, risk mitigation, compliance & stakeholder trust, all in one platform. Trusted by clients like McKinsey, Sanofi, Deutsche Bank, Syngenta, Emirates, Meta, and Nexans. CSRD / ESRS | EU Taxonomy | CDP | S&P | GRI | EcoVadis | Double Materiality Assessment (DMA) | Carbon Management | Risk Management I Non-Financial Reporting
University of Duisburg-Essen
Human Medicine
January 1, 2019 – January 1, 2021
KTH Royal Institute of Technology
Civilingenjör (M.Sc. in Electrical Engineering) , Systems, Control and Robotics
January 1, 2015 – January 1, 2018
RWTH Aachen University
Master of Science (M.Sc.), Electrical Engineering, Information Technology and Computer Engineering, 1.1 (with distinction)
January 1, 2015 – January 1, 2018
RWTH Aachen University
Bachelor of Science (B.Sc.), Electrical Engineering, Information Technology and Computer Engineering
January 1, 2012 – January 1, 2015
Novisto
Enterprise Account Executive
November 1, 2025 – Present
London Area, United Kingdom
Maddox AI
Business Development Lead
March 1, 2023 – October 1, 2025
Maddox AI
Business Development Manager
July 1, 2022 – February 1, 2023
Maddox AI
Business Development
November 1, 2021 – June 1, 2022
Amazon
Data Scientist
July 1, 2019 – October 1, 2019
Luxembourg
Institute for Theoretical Information Technology, RWTH Aachen University
Master Thesis Student
June 1, 2018 – December 1, 2018
Aachen, Germany
Institute of Imaging and Computer Vision, RWTH Aachen University
Research Assistant
April 1, 2017 – September 1, 2017
Aachen, Germany
Signality
AI Development/Deep Learning
February 1, 2017 – May 1, 2018
Stockholm, Sweden
Institute for Power Electronics and Electrical Drives, RWTH Aachen University
Research Assistant
April 1, 2014 – March 1, 2015
Aachen, Germany
Institute of Imaging and Computer Vision, RWTH Aachen University
Teaching Assistant
November 1, 2013 – January 1, 2014
Aachen, Germany
Cultural Fit Analysis
The candidate's diverse background, including academic research in AI/ML and a brief stint as a Data Scientist at Amazon, combined with their recent focus on business development in AI and ESG, suggests adaptability and a broad interest in technology and its application. Their experience at a startup (Signality) and larger companies (Amazon, Novisto) indicates an ability to thrive in different organizational cultures. The target role aligns well with their recent career trajectory in enterprise sales for AI solutions. However, the shift from a highly technical background to a purely sales-focused role needs to be considered for cultural alignment with a deeply technical AI enterprise environment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, communication, and business strategy skills through their progression at Maddox AI. Their experience in developing and refining processes, conducting pipeline reviews, and defining operative targets indicates a good operational fit for a senior role. Collaboration with cross-functional teams and data-driven decision-making are also evident. However, the target role 'Account Executive, Enterprise AI' requires a deep understanding of enterprise AI solutions, which is partially covered by their Maddox AI experience but could benefit from further validation.