Conference Sessions - September 29, 2015

Tuesday
September 29
8:00-11:30
Registration
Tuesday
September 29
8:00-9:00
Continental Breakfast
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Tuesday
September 29
9:00-9:40

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KEYNOTE: Global Data Governance: Making it Real
Jacklyn Osborne, Americas Chief Data Officer, HSBC

As the Global Head of Data Governance, Jacklyn's daily "bread and butter" is to make data governance important and relevant to the business. But in a role that is more marathon than sprint, what are the practical requirements of getting the job done? With different levels of priority and importance, how does the CDO get widespread compliance...with a stick or carrot? In short, how does she "make it real" for business units and individual executives so that governance is in sync with business strategy and everyone has time to become compliant with the policies that are important to the organization.

Level of Audience:
All Levels

Speaker:
Jacklyn Osborne Jacklyn Osborne
Americas Chief Data Officer
HSBC

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Tuesday
September 29
9:45-10:15

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KEYNOTE: What Compliance Can Learn From Content Officers
Diane Burley, Chief Content Strategist, MarkLogic Corporation

Compliance is very similar to Content Management — you have untold people that you need to please with the right pieces of content at the right time. Unfortunately, that makes for a rather untenable scaling process.

Instead of looking to create bespoke reports and bespoke policies for every single contingency and every single topic -- borrow a page from successful content officers who understand that we needed to rethink the content workflow. Rather than approach every task as a one-off asset (or regulatory request), we worked to liberate the data within the content so that these "atomic chunks" can be assembled — and reassembled — virtually dynamically.

Compliance officers have the same opportunity. Rather than running around interviewing teams of analysts and extracting tidbits of info from Excel spreadsheets - and then writing merely an opinion --  deliver the data itself. 

By understanding the limits of legacy technologies — and possibilities of new ones — you can urge your IT department to create an agile environment that will not only let you answer the requests of regulators -– but also streamline internal business processes, give risk officers a complete view of exposures and let you assure the provenance of all data.

Level of Audience:
All Levels

Speaker:
Diane Burley Diane Burley
Chief Content Strategist
MarkLogic Corporation

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Tuesday
September 29
10:15–10:45
Coffee Break and Exhibits Open
10:45 - 11:30 CONCURRENT SESSIONS
Tuesday
September 29
10:45-11:30

 

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Big Data Governance in Financial Services
Sunil Soares, Founder and Managing Partner, Information Asset, LLC
In this session, Sunil Soares will cover the following topics:
  • Overall framework for Big Data Policies, Standards and Processes
  • Alignment with Legal, Regulatory Compliance, Privacy, Enterprise Data Management and Business Stakeholders
  • Support for regulations such as CCAR and BCBS 239
  • Data Standards for Critical Data Elements as they relate to Big Data
  • Data Standards for Big Datasets such as chat logs and social media
  • Best practices relating to Information Security, Metadata and Data Quality
  • Data Governance of Analytical Models relating to Risk and Marketing
  • Key Big Data Governance processes such as ingesting new attributes into the Big Data Lake
  • The role of data stewards in Big Data

Level of Audience:
Intermediate

Speaker:
Sunil Soares Sunil Soares
Founder and Managing Partner
Information Asset, LLC

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Tuesday
September 29
10:45-11:30

 

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Maturing Data Governance from Compliance to Enablement, a Case Study
Lisa Brown, Director Enterprise Data Stewardship, Fannie Mae
Jean Lokko, Senior Data Management Analyst, Fannie Mae
The first Data Governance program implemented specifically addressed high priority opportunities for improvement.  Now that the company better understands how Data Governance supports corporate priorities, it has committed even more support to the Data Governance program.  Fannie Mae has matured the Data Governance program beyond compliance to become an enabler for our business, and supporting technology.  During this session, we’ll discuss how Fannie Mae is repositioning its Data Governance program, the challenges we’re overcoming, the things we’re not doing, and how we’re executing on the new strategy.

Fannie Mae is not unique in the challenges the company has faced to implement a successful Data Governance program. However, we have overcome many of those challenges and we would like to share our insights with the conference attendees.  We'll walk the attendees through the strategic thinking process we used to develop the next phase of Fannie Mae's Data Governance program.

Level of Audience:
Intermediate

Speakers:
Lisa Brown Lisa Brown
Director Enterprise Data Stewardship
Fannie Mae

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  Jean Lokko Jean Lokko
Senior Data Management Analyst
Fannie Mae

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Tuesday
September 29
10:45-11:30

 

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Data Management Benchmarking: Current State of Implementation in Financial Services
John Bottega, Former CDO, Bank of America and Federal Reserve Bank of NY
Michael Atkin, Managing Director, EDM Council

Currency has been a part of man’s existence for centuries.  Whether a stone, a shell, a forged coin or a piece of paper, people have associated value to money.  But, according to Investopedia, currency, in and of itself, has had no value.  Currency, instead, derived its value from being a medium of exchange, a unit of measure and a storehouse for wealth.  In today’s digital world, data is becoming the new currency.  And as its volume grows, so does it’s intrinsic value.
As data professionals, we have to understand how to properly curate this medium.  We have to fully understand the challenges in managing this data, and approach these challenges in the most effective and methodical way.  In this session, John Bottega, Senior Advisor to the EDM Council, will discuss these challenges, show how adhering to best practices are critical to successful data management, and discuss benchmarking methods that are being used to measure, compare and contrast data management programs across industry.

Level of Audience:
Intermediate

Speakers:
John Bottega John Bottega
Former CDO
Bank of America and Federal
Reserve Bank of NY

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  Michael Atkin Michael Atkin
Managing Director
EDM Council

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11:40 - 12:10 DG SOLUTIONS
Tuesday
September 29
11:40–12:10

 

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Remove the Stress from Your Financial Stress Test
Robert Guberud, VP, IQM and Governance Practice, Prolifics

Completing and passing a stress test is no easy task. Bank holding companies must ascertain the exact risk profile of each of their exposures so that their financial risk can be estimated under a variety of scenarios.

Join Prolifics as we discuss how we helped a leading financial institution with an automated data aggregation, rule-based analysis and a reporting solution.  This solution supports the BCBS 239 Supervisory Principles and CCAR Federal reporting edit check requirements. Using the Algo Integrated Risk Reporting Manager, which gives banks and financial institutions a single view risk data management platform, and using pre-built business data rules and data quality processes, we accelerated the bank's risk aggregation and forms submission processes. By providing a data quality process necessary to move valid and correct data into the Risk Capital Planning models and by supplying pre-built CCAR FR Y-14 business rule edit checks and an automated forms data remediation process, we helped one of the largest banks in the country master their capital modeling, planning, and reporting initiatives. At this session you will learn how to implement federal edit check criteria for FR Y-14 reporting,  ensure line item data quality, deploy data remediation techniques, and position your organization to quickly change reporting edit checks for future reporting requirements.

Level of Audience:
All Levels

Speaker:
Robert Guberud Robert Guberud
VP, IQM and Governance Practice
Prolifics

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Tuesday
September 29
11:40–12:10

 

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Automating Data Governance Policy: An Integrated Foundation for BCBS 239 Compliance and Beyond
Conrad Chuang, Director, Product Marketing, Orchestra Networks

Complying with regulations such as BCBS239 has required that many financial services organizations refine their process for defining corporate data policies, practices, and strategy.   That said, improving policy definition process does not necessarily translate into simplified policy implementation.   In fact, segregation of duties requirements in many organizations ensure that there is a gap between those that are “accountable” for policies (eg. CDO) and those that are “responsible” for policy implementation (eg. LoB/IT executives). How should organizations bridge that gap? And can data governance policies be automated?

In this talk, Conrad Chuang from Orchestra Networks examines how an integrated foundation for data governance and data management could help both improve collaboration and automate the implementation of data governance. 

Topics covered include:

  • Feedback loops in the data governance lifecycle
  • How technology can automate policy implementation
  • Architectural, organizational and methodological implications. 

Level of Audience:
All Levels

Speaker:
Conrad Chuang Conrad Chuang
Director, Product Marketing
Orchestra Networks

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Tuesday
September 29
11:40–12:10

 

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Creating Transparency and Traceability in Data Ecosystems
Arka Mukherjee, Founder and CEO, Global IDs

Organizations that possess a large number of databases usually lack transparency and traceability. To support regulatory requirements, Chief Data Officers need to understand their organization's data assets and how these data assets flow across the data ecosystem.  This presentation describes a systematic, scalable and largely-automated mechanism for achieving this goal. Relevance to Governance, Security and Rationalization will be discussed.

Level of Audience:
All Levels

Speaker:
Arka Mukherjee Arka Mukherjee
Founder and CEO
Global IDs

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12:20 - 12:50 DG SOLUTIONS
Tuesday
September 29
12:20–12:50

 

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Virtual Data Masking: Reducing your Surface Area of Risk
Ilker Taskaya, Masking Product Manager, Delphix

Recent trends show that identity breach and data loss are the leading cause and effect of mega breaches. In addition to employee mistakes and lost devices, hackers are becoming increasingly skilled at capturing credentials of privileged users, which renders the use of access management and encryption solutions alone as ineffective security measures. How can you ensure that employees have access to the data they need to complete key processes and core business functions, while safeguarding your sensitive information? Join our conversation to learn how next generation data masking can enable data sharing and ensure database and application integrity, without putting your organization and your important data at risk.

Level of Audience:
All Levels

Speaker:
Ilker Taskaya Ilker Taskaya
Masking Product Manager
Delphix

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Tuesday
September 29
12:20–12:50

 

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How to Operationalize Data Governance Using Software Tools
Koen Van Duyse, Subject Matter Expert for BCBS 239, Collibra

You have your Data Governance operating model worked out, it's even approved by one of the Big Four. You have data quality systems, you have MDM, you have world class analytic tools and some process flows should tie it all together. But do you have business adoption? Koen Van Duyse, Subject Matter Expert for BCBS 239 with Collibra will share some of the stories and best practices of how Data Governance is operationalized, accepted and even championed by the business.

Level of Audience:
All Levels

Speaker:
Koen Van Duyse Koen Van Duyse
Subject Matter Expert for BCBS 239
Collibra

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Tuesday
September 29
12:20–12:50

 

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Enabling Data Governance and Regulatory Compliance for Risk Management – Lessons Learned at a Tier 1 Bank
Geoff Rayner, Chief Executive Officer, Data Advantage Group, Inc.

A discussion of the business drivers in a data governance and metadata management project in the Enterprise Risk Management department of a Tier 1 bank.  

We will discuss the project guidelines for a successful initiative and the benefits of implementing a loosely coupled architecture to reduce the cost of ownership and deliver superior ROI.  The project scoped covered dozens of technologies across hundreds of systems that were analyzed to enable comprehensive data lineage across the Risk Reporting and MDM systems at the bank.

Level of Audience:
All Levels

Speaker:
Geoff Rayner Geoff Rayner
Chief Executive Officer
Data Advantage Group, Inc.

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Tuesday
September 29
12:50–2:00
Lunch and Exhibits
2:00 - 2:45 CONCURRENT SESSIONS
Tuesday
September 29
2:00–2:45

 

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PANEL - Governance Effected by the Emergence of Data Utilities
MODERATOR: Ludwig D'Angelo, Executive Director, JPMorgan Chase
PANELISTS:
John Bottega, Former CDO, Bank of America and Federal Reserve Bank of NY
Philippe Chambadal, CEO, SmartStream Technologies, Inc.
John Fleming, Head Data Governance, BNY Mellon

The discussion will center around the challenges of implementing data governance initiatives in financial services organizations and how those initiatives are supported or hindered by the various utilities that have and will emerge in the market.

Level of Audience:
Intermediate

Moderator:
Ludwig D'Angelo Ludwig D'Angelo
Executive Director
JPMorgan Chase

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Panelists:
John Bottega John Bottega
Former CDO
Bank of America and
Federal Reserve Bank of NY

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  Philippe Chambadal Philippe Chambadal
CEO
SmartStream Technologies, Inc.

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John Fleming John Fleming
Head Data Governance
BNY Mellon

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Tuesday
September 29
2:00 –2:45

 

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Risky Data = Risky Business
Peter Aiken, Founding Director, VCU/Data Blueprint
Lorne Joseph II, Managing Director, eGRC.COM
Enterprise Risk Management is currently a priority for executives in both the public and private sectors. Our primary postulate is that you can’t secure what you can't manage.  Until now, Data Management and Risk Management disciplines have been largely practiced separately; can we spare our end users the fatigue of frequently being assessed for both Risk and Data Management practices individually? Could organizations benefit from data and risk management professionals working collaboratively to identify, optimize and secure operational data?

Until now, Risk Management / Data Management have been more ad-hoc than most prefer and the penalties are rising along with the costs of managing, storing and protecting important business data.

During this discussion participants will learn:

  • The benefits of applying an integrated approach
  • Insights from both the Data Management and Risk Management perspective
  • How to evaluate their own organizational readiness for a collaborative approach

Level of Audience:
Advanced

Speakers:
Peter Aiken Peter Aiken
Founding Director
VCU/Data Blueprint

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  Lorne Joseph II Lorne Joseph II
Managing Director
eGRC.COM

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Tuesday
September 29
2:00–2:45

 

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Operationalizing Data Governance to Drive Business Value
Monica Richter, Chief Content Officer, Dun & Bradstreet
As the financial services industry is chasing growth and profitability in an increasingly regulated environment, regulators are putting pressure on institutions to be more proactive in their data governance efforts. Data executives are being tasked to not only ensure data quality and transparency for risk and compliance efforts, but to create even greater business value across the entire enterprise. Today, organizations must align their data governance strategy with their business strategy. Learn the best practices to collect, curate, and connect data as well as to collaborate across business units to drive real business results.

Level of Audience:
Intermediate

Speaker:
Monica Richter Monica Richter
Chief Content Officer
Dun & Bradstreet

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Tuesday
September 29
2:45–3:00
Coffee Break
3:00 - 3:45 CONCURRENT SESSIONS
Tuesday
September 29
3:00–3:45

 

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Is Data Governance important if you are not a SIFI?
Kelle O’Neal, Founder and CEO, First San Francisco Partners

Since the banking crisis, there has been a lot of regulatory focus on the largest financial companies, termed systemically important financial institutions (SIFI), with the goal of preventing another meltdown. SIFI's are those institutions that are regarded as so important to the economy that their failure could lead to widespread crisis. This designation under the Dodd Frank legislation requires higher capital standards and greater control and contingency plans in case of failure. So it is clear that a robust data governance program is necessary for the biggest financial institutions to ensure capital adequacy, maintain control and mitigate risk.

What if you are a super-regional insurance company? Or a regional bank? Is governance still important? In this session, we will discuss the value and benefit that data governance can provide to financial institutions that are not (yet) global mega-banks and insurance companies.

We will cover:

  • Typical governance requirements for mid-sized financial institutions
  • How governance improves operational efficiency
  • How governance facilitates growth
  • How to "right-size" governance for your organization

Level of Audience:
Introductory

Speaker:
Kelle O’Neal Kelle O’Neal
Founder and CEO
First San Francisco Partners

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Tuesday
September 29
3:00–3:45

 

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Business Engagement Drives Data Management Success
Nancy Petersons, Director, Data Management, Ontario Teachers’ Pension Plan
Melanie Mecca, Director of Data Management Products, CMMI Institute

The Ontario Teachers’ Pension Plan (OTPP) relies on timely, accurate data for investment decisions, risk analysis, and regulatory compliance.  The emphasis on data quality and centralizing shared data via major redesign of the EDW created challenges: demand for technologies and data quality services; an ambitious schedule for EDW implementation; and a need for effective collaboration to define shared data sets.   OTPP conducted an assessment of the program employing the Data Management Maturity (DMM)SM with extensive stakeholder participation; results highlighted the need for multi-leveled governance to sharpen focus on quality, business issues, and phased EDW implementation.  With a strong foundation in data requirements and metadata governance processes, OTPP established the Business Advisory Council and Data Review Board to expand business and executive engagement. Governance has addressed substantive initiatives, including:  
  • Metadata standards and population
  • Metrics and dashboards
  • Data steward training
  • Risk data classification and key data set identification
  • Regulatory reporting data sets. 

Level of Audience:
Intermediate

Speakers:
Nancy Petersons Nancy Petersons
Director, Data Management
Ontario Teachers’ Pension Plan

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  Melanie Mecca Melanie Mecca
Director of Data Management Products
CMMI Institute

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Tuesday
September 29
3:00–3:45

 

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PANEL - From Intent to Implementation: A Three Pillar Approach to Aligning Data Governance with IT Functions  
MODERATOR: Gwen Thomas, Corporate Data Advocate, IFC, Part of the World Bank Group
PANELISTS:
Laiq Ahmad, Head IFC Architecture, International Finance Corporation
Sana Al-Hajj, Manager, Service Quality Group, International Finance Corporation
Kevin D. Hendricks, Senior IT Officer, International Finance Corporation
Jennifer Trotsko, Acting Head, Information Quality Group, International Finance Corporation

Learn how to successfully translate business policy to IT-driven projects,  services, accountabilities, and outcomes - even if you don't have a CDO or a formal Data Management department.

While Data Governance functions represent the intent of an organization regarding its data, translating intent into outcomes involves multiple IT systems, services, projects, roadmaps, and strategies. To be successful, every organization must find a way to systematically move from business-friendly concepts to implementable data & technology requirements and controls. This may be routine in organizations that have split IT into CDO-driven data teams and CIT-driven technology teams. But what if you have a traditional Business + IT operating model? How do you get Data Governance inserted everywhere it needs to be, without exhausting your Data Governance team?

This session introduces the Three Pillar Model in use at the International Finance Corporation (IFC), the private-sector arm of the World Bank Group, which has been employing the model as part of a major IT Transformation and a new approach to shared services. 

Panelists representing each of the pillars will share:

  • A core operating model that aligns Data Governance with Data Management & Architecture, and then with technology teams
  • A graphic that keeps all stakeholders on task across project and data lifecycles
  • Techniques for using the model to "fly under the radar" while also focusing leaders' attention (when needed)
  • Tips for involving Three Pillar participants in IT coordination and road mapping activities, SDLC checkpoints, tool implementations, and project teams
  • A new approach to documenting data requirements

Level of Audience:
Intermediate

Moderator:
Gwen Thomas Gwen Thomas
Corporate Data Advocate
IFC, Part of the World Bank Group

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Panelists:
Laiq Ahmad Laiq Ahmad
Head IFC Architecture
International Finance Corporation

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  Sana Al-Hajj Sana Al-Hajj
Manager, Service Quality Group
International Finance Corporation

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Kevin D. Hendricks

Kevin D. Hendricks
Senior IT Officer
International Finance Corporation

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  Jennifer Trotsko

Jennifer Trotsko
Acting Head, Information
Quality Group
International Finance Corporation

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arrow4:00 - 4:45 KEYNOTE PANEL
Tuesday
September 29
4:00–4:45

 

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KEYNOTE PANEL: Tips from the Trenches - Lessons Learned from Successful Practitioners in Implementing Data Governance
MODERATOR:
Malcolm Chisholm, President, AskGet
PANELISTS:
Lisa Brown, Director Enterprise Data Stewardship, Fannie Mae
Monica Richter, Chief Content Office, Dun & Bradstreet
Gwen Thomas, Corporate Data Advocate, IFC, Part of the World Bank Group
BJ Fesq, SVP, Chief Data Officer, Chief Architect, CIT Group, Inc.
This panel will address the unique challenges of the financial sector in implementing data governance programs.

Topics include:

  • The different flavors of data governance in the financial sector
  • How do financial organizations avoid the risk of siloed data governance
  • Dealing with BCBS 239
  • Determining and developing data policies and standards
  • Metrics and demonstrating the value of your data governance program
  • How to continue the engagement/ level of interest over time
  • Challenges of obtaining funding for other areas of data governance outside of compliance

Level of Audience
Intermediate

Moderator:
Malcolm Chisholm Malcolm Chisholm
President
AskGet

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Panelists:
Lisa Brown Lisa Brown
Director Enterprise Data Stewardship
Fannie Mae

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  Monica Richter Monica Richter
Chief Content Office
Dun & Bradstreet

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Gwen Thomas Gwen Thomas
Corporate Data Advocate
IFC, Part of the World Bank Group

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  BJ Fesq BJ Fesq
SVP, Chief Data Officer, Chief Architect
CIT Group, Inc.

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