Wiktoria Gromowa-Cieslik

Women in Tech® Global (Sweden Chapter) is an international organization on a mission to close the gender gap and to help women embrace technology. https://www.linkedin.com/showcase/107638556

Leading the design and architecture of mission-critical, highly compliant data platforms, driving the enterprise-wide adoption of robust governance and system observability frameworks. Delivering scalable, cloud-based engineering solutions that optimize global operations and core enterprise functions, while acting as a strategic advisor to C-level stakeholders. Please refer to the "Publications" section below for the latest external contributions.

Partnered with senior executive leadership to architect and deliver scalable, data-driven enterprise platforms. Directed cross-functional engineering and analytics teams to modernize legacy infrastructure, enforce rigorous data integrity standards, and deploy highly compliant, high-impact data products that optimized complex operational decision-making.

Scaled and led a 60-member technology hub, driving the delivery of 35+ complex enterprise applications. Spearheaded a $1M+ strategic initiative to modernize mission-critical forecasting and operational systems. Championed cloud transformation and advanced analytics, aligning large-scale engineering efforts with global corporate strategy and rigorous regulatory frameworks.

Led a comprehensive Center of Excellence encompassing IT operations, governance, and organizational learning under strict European regulatory frameworks. Drove a massive digital upskilling initiative by launching an internal tech academy, training over 1,000 employees in Python to bridge the gap between legacy operations and advanced analytics. Championed Diversity & Inclusion and robust talent development programs, building a resilient, future-ready engineering workforce capable of driving digital transformation.

Spearheaded the automation of enterprise-wide forecasting and estimation processes. Translated complex mathematical models into practical, Python-based engineering solutions, eliminating manual legacy workflows. Standardized global operational data pipelines, driving unprecedented accuracy and transparency for complex organizational planning and resource allocation.

Architected enterprise-wide data governance frameworks and executive dashboards to drive data-driven decision-making. Led cross-functional teams to strengthen system resilience, mitigate operational risks, and champion Agile transformation across global IT programs.

Directed global technology initiatives focused on complex system risk and quantitative modeling. Mentored and scaled international analytical teams, successfully bridging the gap between advanced mathematical concepts and robust enterprise system architecture to ensure high-fidelity, compliant operations. AVP Goal & Rising Stars program (September 2015 - May 2016)

Applied advanced quantitative methods to validate and refine complex calculation methodologies for enterprise risk models. Bridged the gap between technical stakeholders and engineering teams, translating intricate mathematical requirements into robust, scalable IT solutions for precise system modeling.

Built data-driven business models to evaluate product performance and operational efficiency. Automated large-scale reporting processes and collaborated closely with cross-functional IT and business teams to deliver high-impact analytical insights directly to executive leadership.

Engineered tailored ERP solutions using VBA and .NET to streamline enterprise operations. Led the technical integration of electronic documentation processes, bridging the gap between software development and complex business requirements to enhance system efficiency.

Conducted deep-dive market and financial analytics to optimize production cycles and sales planning within a high-volume automotive manufacturing environment. Managed critical vendor relations and negotiated with suppliers, successfully aligning complex industrial hardware solutions with overarching business requirements.

Conducted doctoral research in intelligent systems and computational modeling. Developed and taught comprehensive Computer Science and IT courses.

Implemented an enterprise ERP system for electronic documentation. Orchestrated data migration and aligned technical system design with overarching operational goals.