Summary
Inga Linda Toma is a Product Management and Business Intelligence thought leader dedicated to helping organizations transform data, analytics, and emerging technologies into strategic business advantage. She combines deep BI expertise, AI-driven insights, and product strategy to build data ecosystems that accelerate decision-making, innovation, and growth.
With over a decade of experience leading digital transformation, data platform modernization, and analytics product development across industries, Inga bridges the gap between technical excellence and business impact. Her approach integrates product thinking, data governance, and change leadership to ensure that every BI initiative drives measurable value and aligns with organizational goals.
A passionate advocate for data literacy, ethical AI, and evidence-based strategy, she regularly shares insights on how to treat BI as a product, scale data-informed cultures, and leverage AI-powered analytics for competitive differentiation. Known for her collaborative leadership and results orientation, Inga empowers teams to deliver scalable, human-centered solutions that turn data into action.
Her core values — Respect, Integrity, and Success — underpin her mission: to inspire, educate, and lead the next generation of data-driven product innovators.
Professional experiences
Bi platform lead
ILT Consulting , Munich
From April 2022 to Today
Head of product
MATMATCH , Munich
From October 2019 to November 2021
Bi manager
SIXT SE , Munich
From August 2016 to September 2019
Product owner/ data analyst
CARFAX EUROPE GMBH , Munich
From September 2010 to July 2016
Lead specialist/ head of transport division
STATE REVENUE SERVICE OF THE REPUBLIC OF LATVIA , Riga
From May 2006 to August 2009
Additional training
Training
Harvard Business School - Leadership Principles
2020 à 2020
Degree
Languages
Letton - Native or bilingual proficiency
Anglais - Professional working proficiency
Allemand - Professional working proficiency
Russe - Elementary proficiency
Skills
Hobbies
- User Experience (UX)
- Artificial Intelligence (AI)
- Business Analytics (BA)
- Business Intelligence (BI)
- Decision Making