FIMA US 2017 (past event)
May 08 - 10, 2017
The Westin Copley Place, Boston, MA
Contact Us: 1-888-482-6012
Julia Bardmesser
Head of Data Quality Management, Americas
Deutsche Bank AG
Julia Bardmesser is the Global Head of Business Data Management in Citi’s Chief Data Office. She is responsible for defining requirements for the implementation of consistent and controlled approach to the development and use of enterprise information assets and critical data elements across Citi.
Julia has over twenty years of experience in data management, data governance, data architecture and cross-platform solution delivery in the financial industry. Prior to joining Citi Julia ran the Data Services technology team at FINRA (Financial Industry Regulations Authority) where she delivered enterprise wide MDM, Data Warehousing and BI solutions.
Julia also worked at Freddie Mac, Thomson Financial Services, Bear Stearns and Bloomberg L.P.
Julia has a Master of Arts degree in Economics from the New York University.
Julia has over twenty years of experience in data management, data governance, data architecture and cross-platform solution delivery in the financial industry. Prior to joining Citi Julia ran the Data Services technology team at FINRA (Financial Industry Regulations Authority) where she delivered enterprise wide MDM, Data Warehousing and BI solutions.
Julia also worked at Freddie Mac, Thomson Financial Services, Bear Stearns and Bloomberg L.P.
Julia has a Master of Arts degree in Economics from the New York University.
Check out the incredible speaker line-up to see who will be joining Julia.
Download The Latest AgendaMastering Data Strategy and Data Quality to Remain Competitive
Saturday, October 7th, 2017
14:45 Panel Discussion | Engineering Data Quality, Creating a Data Quality Index to Understand Hotspots
Though the maturity of data governance programs varies across the industry, data quality continues to be a challenging top priority for all financial institutions. How can you do data quality measurements in a way that is actionable? How do you get the business to understand quality? How do you boil it down to something that is easily shared with regulators and senior executives so they understand it?
Find out:
• The right balance for data controls that are useful and impactful
• What level of manual versus automated controls is acceptable
• How to turn the lens of data quality to determine if you’re fully compliant with your best practices
Find out:
• The right balance for data controls that are useful and impactful
• What level of manual versus automated controls is acceptable
• How to turn the lens of data quality to determine if you’re fully compliant with your best practices