János Poór
Data management and analytics leader with 20+ years in banking and insurance. I build the governance frameworks, data pipelines, and teams that make enterprise data reliable — and I'm increasingly focused on how that foundation can unlock AI at scale.
About
I'm a data analytics and data management professional. I spent 20+ years as a data analyst and data scientist at banks and insurance companies, then shifted focus to data management and governance. I currently lead the Data Management department at an insurance company in Hungary. My expertise covers managing data teams and analytics products, data strategy and governance, and the design and execution of BI and analytics workflows.
I'm genuinely excited about agentic workflows and context management for AI. The models are capable — what determines whether AI delivers real value in an enterprise is the context it operates with. This is what I think about most: how data management work in large organizations can go beyond traditional BI and reporting to actively provide the context that makes agentic AI automation possible.
What I Think About
- Data governance and strategy in large enterprises
- Managing data teams and analytics products
- Stakeholder management in data
- AI-driven workflow automation
- Context management as the unlock for enterprise AI
Experience
Alfa VIG Insurance Hungary
1,500–2,000 employees
Dec 2024 — Present
- Design and execution of the company's Data and BI Strategy
- Led organizational redesign and staffing of the Data Management department from scratch
- Drive development of single-source-of-truth datasets in a unified DWH
- Design and operation of the data governance function, business glossary, and data catalogue
- Own the company's BI portfolio; responsible for consolidation and prioritization
- Drive modernization of the data stack (on-prem Oracle → dbt, Airflow, DeltaLake)
Jul 2024 — Dec 2024
- Built the governance framework for single-source-of-truth datasets with a shared semantic layer
- Led data catalogue and data quality initiatives
Sep 2021 — Jun 2024
- Product owner of a non-financial data lake serving operational and business development use cases (3 engineers + 1 data steward)
- Led consolidation of critical non-financial data elements and star-schema modelling
- Introduced dbt into transformation pipelines; conducted data quality and governance projects
Nov 2018 — Aug 2021
- Scaled process analytics to optimize business processes, saving 10–20% on operational costs in claims management, underwriting, and CRM
- Built interactive data applications in R for operational and strategic management
May 2010 — Oct 2018
- Achieved 13% productivity increase by building a process performance tracking system for the policy administration department (70 people)
- Built machine learning models for resource allocation, reducing cognitive overload in daily operations
- Kicked off process analytics in IT from proof-of-concept to scale-up
Merkantil Bank Zrt.
Under 500 employees
Nov 2006 — Apr 2010
- Built machine learning models to predict probability of default within the Basel II framework
- Supported risk analysis for pricing and product development
- Built and maintained an incentive system for the sales network
National Council for Information and Communication Technology
Under 50 employees
Jul 2004 — Oct 2006
- Conducted secondary market research on the ICT market
- Analysed the impact of government programs in ICT capability building
Education
MSc in Sociology, Survey Statistics Specialization
ELTE University, Budapest, Hungary
1998 — 2004