Summary
Overview
Work History
Education
Skills
AWARDS
Timeline
Generic

Julia Matzat

Stroudsburg,PA

Summary

Results-driven Data Scientist and Architect with 4 years of experience in analytics, data science, and enterprise data architecture. Lead a multidisciplinary team to drive data strategy across banking and payments, translating business priorities into actionable plans. Expertise in delivering scalable data products and developing talent, with a strong foundation in financial services data, enterprise integration, Data Vault 2.0, DBT Core, and Snowflake.

Overview

5
5
years of professional experience

Work History

Lead Data Architect

FISERV
06.2025 - Current
  • Drive implementation of a federated Data Vault 2.0 architecture in Snowflake, connecting banking, debit, credit, and digital payments data for enterprise analytics
  • Translated enterprise requests into quarterly priorities, technical roadmaps, and sprint-level deliverables for multiple data initiatives
  • Own delivery of production data products including customer and merchant dimensional models, standardized attributes, and analytical data marts
  • Established common data definitions and standards across disparate financial data sources, enhancing data consistency and downstream usability
  • Sought ways to enhance operational performance to improve platform efficiency
  • Lead a multidisciplinary team of 9 spanning data engineering, analytics, and data science, balancing team development, technical execution, and business priorities

Lead Data Scientist

FISERV
06.2024 - 06.2025
  • Led and mentored a team of 4 early-career analysts, engineers, and data scientists, ensuring high-quality delivery across multiple initiatives
  • Established proof-of-concept Data Vault 2.0 environment integrating five bank core systems, enhancing quarterly business reporting data mart and data science use cases
  • Helped establish a standardized classification framework for more than 5,000 loan products and 2,000 deposit products across approximately 300 banks
  • Developed generalized benchmarking platform for consistent comparisons across financial institutions for core and card data
  • Partnered with multiple contractor teams to support effective use and integration of banking data, providing data guidance, clarifying requirements, and ensuring consistent interpretation and application of data assets
  • Set development standards through code reviews, technical guidance, documentation practices, and reusable SQL/Python patterns.

Technical Analyst

FISERV
06.2022 - 06.2024
  • Developed K-means segmentation models and SQL-based analytical processes to segment and benchmark hundreds of financial institutions by industry, geography, and asset size, identifying meaningful peer groups and enabling targeted comparative insights.
  • Performed validation of calculated financial metrics and institution segments against ground-truth data sources, identifying discrepancies and refining analytical logic to improve benchmark accuracy and data quality.
  • Automated the comparative analytics platform in Snowflake, streamlining data processing, metric calculations, peer-group benchmarking, and reporting workflows for scalable analysis across the banking population.
  • Worked directly with banking and core-system subject matter experts to translate complex source data into standardized metrics and reporting outputs.
  • Developed Quarterly Bank Report data mart integrating data from 900+ financial institutions and 20+ business metrics to support a dashboard for Relationship Managers.

Data Analyst Intern

FISERV
06.2021 - 08.2021
  • Developed exploratory customer segmentation models using K-means clustering, providing insights into merchant data.
  • Automated metadata extraction to identify PII fields requiring encryption, facilitating early data governance initiatives.
  • Cataloged and documented 200+ enterprise data objects in Alation, enhancing data standardization across five bank core applications.

Education

Bachelor of Mathematical Sciences - Statistics & Probability, Sociology

University of Memphis
Memphis, TN

Skills

  • Cross-functional collaboration
  • Data Strategy
  • SQL
  • Enterprise Data Architecture
  • Data analysis
  • Data Pipeline Development

AWARDS

Fiserv Hackathon Winner, 2023, NCAA Division I Student-Athlete, University of Memphis

Timeline

Lead Data Architect

FISERV
06.2025 - Current

Lead Data Scientist

FISERV
06.2024 - 06.2025

Technical Analyst

FISERV
06.2022 - 06.2024

Data Analyst Intern

FISERV
06.2021 - 08.2021

Bachelor of Mathematical Sciences - Statistics & Probability, Sociology

University of Memphis

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