SUMMARY

• Experienced at dealing with and presenting to C - level management
• Expertise in creating Executive dashboards, MIS Applications, and Business Intelligence reporting
• Management experience throughout the complete software development life cycle (SDLC)
• Proven ability to influence/lead global teams to improve financial/risk data flow and data quality
• Highly skilled in process re-engineering including continuous enhancements, optimizing operations and procedures to improve efficiency and enhance reporting
• Full understanding of the trade life cycle (priced, executed, booked, settled), and experience in managing data delivery solutions and programs
• Ability to analyze and understand counterparty risk, credit risk, product flow, accounting events, market data (securities, prices, trade related information), and reference data (relationships, issuers, ratings)
• Strong Financial Products knowledge across both Wholesale & Retail sides (Loans/Leases, Cards, Derivatives, Equities/Fixed Income, Currencies), capital markets, cash flows, events, corporate actions
• Extensive knowledge of financial logical data models including Confidential, Reuters RMDS, Reuters DataScope Select, Reuters DataScope Equities, ADP/ Confidential, and Bloomberg
• Understanding of security’s dependencies and seniority to successfully establish and qualify an instrument (product hierarchy, SIC code hierarchy, chart of accounts)
• Deep subject matter expertise (SME) of both Reference Data and Market Data in the context of data flows, Master Securities Database (MSD), Securities Master File (SMF), and Client Master File (CMF)
• Strong knowledge of Data Analytics, Data Mining, Data Modeling and Data Manipulation in dealing with complex systems design and systems integration
• Establishment of ETL designs, Data Architecture, Data Staging Acquisition strategy and Data Sourcing
• Understanding of systems architecture and data representation across tables, and databases
• Broad knowledge of data warehouse principles with emphasis on ETL, Metadata management & reporting
• Extensive experience with design & development of data quality rules for Data Warehouses and Data Marts
• Deep knowledge of database design concepts and its application within Data Management
• Hands on experience with Market Data Vendors such as Confidential, Bloomberg, Confidential amp;P, Confidential
• Expertise with a variety of Business Intelligence (BI) tools (QlikView, Tableau, Cognos, SAP Business Objects), and Data Quality tools (AbInitio XpressIT, Informatica IDQ)
• Hands-on experience with dimensional modeling techniques and creation of logical and physical data models (entity relationship modeling, Erwin diagrams, etc.)
• Wide-ranging experience working with data feeds and system messaging interfaces (XML/XSLT)
• Expert level skills in MS Office tools (Excel (Vlookup, Pivot Tables, Macros), PowerPoint, Access, Project)
• Working knowledge of SQL, Oracle, DB2, Teradata; Proficient in VBA

PROFESSIONAL EXPERIENCE

Confidential

Executive Director

Responsibilities:

• Manage CCB Risk Data Quality team responsible for Data Monitoring, and BI Reporting in addition to driving strategy, oversight, and initiatives in support of BCBS and CCAR Programs
• Provide strategy, guidance and leadership for Data Architecture resulting in the ability to manage & control Data Quality for the BCBS (Basel) Audit and other sustainable compliance initiatives
• Serve as a key voice in selection of technologies, equipment, and vendors
• Product management over Technical Data Quality and the SLA process for Risk Regulatory Reporting
• Improving credit decision making and portfolio management though enhanced data and analytics
• Manage all Consumer Risk Data Quality Reporting and escalation mechanisms on Risk Issues in JIRA
• Leading product development efforts to transform raw data into sophisticated MIS reporting solutions
• Ensure the appropriate level of data quality to support CCB Risk reporting, modeling, and analytics, in compliance with the BCBS principles on Risk Data Aggregation
• Partner with CCB Chief Data Office (CDO) to execute the data quality framework, optimizing the use of automated data quality tools and processes, and providing oversight to ensure that data quality monitoring is being properly executed
• Direct the strategy and implementation of Data Quality Business Rules into the DQ Facility (AbInitio)
• Produced a meaningful Data Quality program prototype using AbInitio ExpressIT product with many custom enhancements
• Created the Metrics Computation scoring methodology and socialized it with Firmwide CDO
• Designed and implemented detailed reporting out of AbInitio utilizing QlikView product
• Positioned the team to act as a guide and authority on Risk Issues and Resolutions
• Facilitated Data Governance activities by outlining the approach and artifacts required for a successful audit for BCBS initial compliance
• Supported the 2015 vetting of the Risk Data Quality program with federal regulators

Confidential

Data Analytics & Architecture Product Manager

Responsibilities:

• Managed Data Aggregation program (Market Data & Reference Data containing Instrument and Party/Customer data), scope and budget to combine multiple system feeds into a single view
• Implemented data aggregation strategy for three products (BPS - Equities, Impact - Fixed Income, Gloss - foreign equity & fixed income)
• Sought out new/alternative data sources to incorporate into the data aggregation initiative
• Met with top data vendors & research organizations around the country to analyze/assess new data sets with potential to uncover trends, patterns and insights
• Responsible for all negotiations and keeping track of vendors and data sources
• Defined logical data integration strategies for data flows between disparate source/target systems for structured and unstructured data into common data reservoir (Data Lake)
• Managed and Identified Solution Delivery milestones and dependencies with other initiatives
• Prepared the business case to obtain funding for new product development
• Led the Data Monetization initiative to identify Big Data vendors & solutions to maximize future profits
• Led product development efforts to create new data offerings
• Directed marketing new data products to investment banks to obtain their buy-in and funding
• Maintained product Web site, documents and all information for the initiative (presentations, financials, business case, vendor NDA's, etc)
• Managed the relationship with resource and technology vendors along with their contracts (pricing, terms, licensing)

Confidential

Master Reference Data Lead

Responsibilities:

• Managed Reference Data Requirements for releases of the EDI Program (Customer & Instrument Master)
• Ran the creation of Data Validation business rules and Conformed Values across multiple sources
• Determined the scope of each release with senior business stakeholder input
• Implemented an operational utility to create and maintain internal & external master reference data
• Defined which data is needed at each point in the execution life cycle of MBS (mortgage backed securities) to ensure proper workflow, control and compliance
• Ensured key data elements and key performance indicators align with key controls
• Designed and developed data governance standards, nomenclature, roles and responsibilities

Confidential

Senior Project Manager

Responsibilities:

• Successfully managed Reference Data acquisition of multiple product processors for an Enterprise Data Warehouse (GENESIS) with a common data model that is anchored to financials for integrity and completeness (for use across Finance, Regulatory Reporting, Risk & Compliance)
• Produced a single data repository that allows the bank to identify its assets, counterparties, clients and let them track risk in accordance with Dodd-Frank guidelines requiring banks understand the full extent of their business
• Controlled and managed data on-boarding (internal, client, vendor - Loans, Derivatives) to make sure it adhered to target file layout and was consistent with industry standards
• Managed implementation of business intelligence (BI) functions to be used for regulatory reporting in adherence to Dodd-Frank and Basel
• Coordinated cross functional teams, business subject matter experts and technology throughout the SDLC, leading the process on major work-streams and adding oversight and quality checks
• Accountable for the development, improvement and execution of data management strategy across the Enterprise platform in support of Basel III and other strategic business initiatives
• Spearheaded issue management calls to find solutions for complex data processing needs (ETL, Reporting)
• Created and implemented logic that anchors Contracts and Positions data back to the General Ledger
• Offered Subject Matter expertise in order to design logic to cleanse and enrich acquired data

Confidential

Senior Project Manager

Responsibilities:

• Successfully managed Reference Data acquisition of multiple product processors for an Enterprise Data Warehouse (GENESIS) with a common data model that is anchored to financials for integrity and completeness (for use across Finance, Regulatory Reporting, Risk & Compliance)
• Produced a single data repository that allows the bank to identify its assets, counterparties, clients and let them track risk in accordance with Dodd-Frank guidelines requiring banks understand the full extent of their business
• Controlled and managed data on-boarding (internal, client, vendor - Loans, Derivatives) to make sure it adhered to target file layout and was consistent with industry standards
• Managed implementation of business intelligence (BI) functions to be used for regulatory reporting in adherence to Dodd-Frank and Basel
• Coordinated cross functional teams, business subject matter experts and technology throughout the SDLC, leading the process on major work-streams and adding oversight and quality checks
• Accountable for the development, improvement and execution of data management strategy across the Enterprise platform in support of Basel III and other strategic business initiatives
• Spearheaded issue management calls to find solutions for complex data processing needs (ETL, Reporting)
• Created and implemented logic that anchors Contracts and Positions data back to the General Ledger
• Offered Subject Matter expertise in order to design logic to cleanse and enrich acquired data

Confidential

Principal - Master Data Management (MDM)

Responsibilities:

• Provided industry's best practices, standards and methodologies for master data management solution (MDM) opportunities on a range of complex consulting engagements
• Audited Confidential ’s Wealth Management security master (MSD) to determine data compliance
• Defined corporate program Governance and Master Data Management structures (Client Master & Securities Master) and created Strategies to transform business practices
• Prioritized the implementation of new enterprise-wide principles, policies, and processes
• Outlined current and future state processes to identify opportunities for improvements
• Designed vendor relationship management mechanisms such as the automated vendor feedback loop
• Developed approaches for quantifying and measuring data quality (KPI's, SLA's, Scorecards)
• Managed relationships with sales, project managers, and customers to ensure a smooth implementation and transition from start-up to integration/production mode
• Customized and Assessed Data Maturity Model (DMM) levels and reported on findings
• Implemented independent verification and validation of data quality performance
• Evaluated customers' strategic business issues, identified requirements, created business case justifications, and proposed appropriate enterprise solutions

Confidential

Senior Project Manager / Product Manager

Responsibilities:

• Integrated financial markets applications (3000 Xtra, DataScope Select, DataScope Equities) into the EDM framework based on client specifications - Market Data & Reference Data (Derivatives-FX, Swaps)
• Interpreted and Created custom mathematical calculations (EWMA-Exponentially Weighted Moving-Average, Volatility Smiles) to help track Market Risk and instructed IT teams on their implementation
• Managed Remote Testing QA teams, their budgets, and instructed staff on complex financial instruments
• Evaluated vendor products and data solutions for more effective use across the enterprise
• Accomplished operational excellence by establishing metrics and improving data set quality
• Participated in EDM Council’s Semantics Repository meetings as a subject matter expert to help standardize the terms and definitions of Hierarchies and Reference Data attributes

Confidential

Senior Business Data Analyst

Responsibilities:

• Performed financial data analysis and data mapping utilizing Bloomberg and custom data models
• Integrated Securities Reference Data and Market Data into Enterprise Data Management (EDM) solution
• Translated financial business requirements into mapping specifications and data needs
• Worked with financial data dictionaries that included business level and technical descriptions
• Identified and documented data definitions, business rules and business metrics
• Completed the implementation of such clients as IBM, Broadridge, RBC Dexia

Confidential

Senior Business Analyst

Responsibilities:

• Gathered Functional Business Requirements for front office strategic initiatives
• Conducted feasibility studies of potential company facilities and presented them to senior management

Confidential

Senior Business Analyst

Responsibilities:

• Supported sales marketing internal CRM and Revenue Credit application (Aspen)
• Tracked outstanding issues with development through SourceForge (Issue Tracking System)

Confidential

Business Analyst / Manager

Responsibilities:

• Managed a group in a project that resulted in liquidation of over $20 billion in portfolio assets with minimal exposure in the closing of the Securities Lending operation due to State Street Bank acquisition
• Administered and analyzed Cash Flows of over 60 portfolio’s assets to its liabilities and ensured there was no exposure risk to the firm if a client were to exit the Securities Lending program