Madalynn Kosakowski

Own the end-to-end product data lifecycle across enterprise systems, ensuring consistency, accuracy, and readiness for customer-facing platforms. Built and implemented data governance standards that improved data quality and reduced errors across internal systems. Lead automation and optimization of data ingestion, validation, and enrichment workflows, reducing manual effort and accelerating time to market. Developed KPI dashboards and reporting frameworks to deliver insights to product and executive teams. Partner with engineering, product, and content teams to align data structure and taxonomy with evolving business needs. Spearheaded implementation of new tools to enhance data management efficiency and visibility. Manage and mentor a cross-functional data team, driving performance through clarity, accountability, and growth opportunities. Act as the data SME across the organization.

Managed all internal and external ad hoc data requests, supporting decision-making for business, data science and product team. Partnered with the Chief Data Scientist on agile ceremonies and led daily stand-ups in the Data Science team. Collaborated with business stakeholders to transform business logic into a data dictionary improving data quality and data analysis. Handled large complex datasets creating MTTx project, presented to C-Suite in simple terms and business concepts for clear communication. Employed SQL and Python to develop data export project to train proprietary AI and ML models, resulting in increased model accuracy. Designed and managed 15+ dashboards and reports resulting in faster time to hire and customer success.

The Master of Science in Applied Data Science for Business (MSADSB) focuses on the needs of business leaders to understand digital transformation and the importance of data science across functional areas. The core curriculum imparts the business fundamentals of accounting and strategy; the critical business implications of digital transformation and the organizational change that it will necessitate; the regulatory, ethical, and cybersecurity imperatives governing digital transformation; and an introduction to technical skills.