SUMMARY:

• Subject Matter Expertise in Implementing Enterprise Data Management Solutions including Data Governance, Data Quality Solutions, Master Data Management (MDM) - Data Architecture -Data Warehousing and Business Intelligence Risk Management using Data Management practices.
• Successfully led teams in implementing various data management projects, within budget, on time at
• Fortune 500 financial institutions, government agencies, and banks. Specialties: Business focused IT solutions, Data Strategy, Data Architecture, Data Governance, Data Quality, Metadata Management, Master
• Data Management, Data warehousing, Business Intelligence, Data Migration, and Data Cleansing.
• 19+ years of rich experience and track record of successfully delivering business value through data management services.
• Data Governance, Data Quality, and Metadata specialist. Implemented data governance across the tenets of people, processes, and technology.
• Industries served include Federal, Mortgage, Finance, and Telecom.
• In-depth experience in delivering governance, risk, and compliance solutions
• Communicates and collaborates fluently with all levels of an organization.
• Certified Basel III Professional (London)
• Data management expertise areas include Data Strategy, Architecture, Governance, Data Quality, Data Warehousing, Business Intelligence, and Big Data.
• Speaker, presenter, and publisher.
• Continuous executive training from top tier institutions.
• Problem Solver, Strong work ethic, self-driven, result oriented.
• Seasoned Information management solution provider, problem solver, leader, writer, presenter.
• Certified Basel III Professional

AREAS OF EXPERTISE:

Data Quality

Master Data Management

Data Warehousing

Dimensional Modeling

Basel II/III Compliance

Enterprise Data Governance

Risk Management

Data Architecture

Metadata Management

Data Migration & Consolidation

Data Strategy

Enterprise Architecture

Business Case analysis

Project Management

Chief Data Officer Advisory

PROFESSIONAL EXPERIENCE:

Confidential

Data Governance Analyst, Data Architect

Responsibilities:

• Led data strategy, data governance, data architecture efforts in a petabyte data environment
• Conducted data maturity assessment and recommended roadmap to address gaps to achieve target state.
• Performed Data Governance activities addressing people, processes, and technology areas
• Supported cloud data governance and cost reduction functions
• Conducted annual data governance capability assessment
• Created cost estimations for various initiatives supporting roadmap
• Analyzed cloud migration options and recommended solutions

Data Management Specialist/Lead

Confidential

Responsibilities:

• Lead a team to implement Business Glossary and Metadata to Informatica Metadata Tool.
• Led efforts to upload Business Glossary for over 18+ applications, additional metadata for 100+ applications.
• Reviewed processes and tool requirements.
• Build automation tools to minimize manual work, reduce errors.
• Continue to consolidate glossary terms, build a unified SF Business Glossary.

Data Management Specialist

Confidential

Responsibilities:

• Analyzing the current-state of the IT application landscape.
• Identifying system and reporting gaps and redundancies in the enterprise architecture.
• Business Analytics and Reporting
• Metadata Management Identifying critical elements Generating mappings
• Automation procedures for data analysis
• CREFC compliance, Disclosure, and Securitization support.
• Data quality program (end to end) implementation
• Data governance implementation and support
• Project Management Coordination between teams.
• Present findings and recommendations to simplify architecture, retire applications, and reduce data redundancies.

Data Management Specialist

Confidential

Responsibilities:

• Implementing data governance, data quality, and metadata solutions supporting Basel I/II/III Compliance from Basel Requirements as it relates to Data Governance, Data Quality and Metadata Management.
• Led requirements gathering workshop for over 300+ business and data stewards.
• Collaborate with Line of Business Owners and Technology stakeholders.
• Tool Implementation supporting Data Quality and Metadata
• Led Basel Data Quality reporting and monitoring efforts.
• Document concise set of implementable requirements

Data Warehousing Business Intelligence Architect

Confidential

Responsibilities:

• Data Warehousing, Business Intelligence, and Master Data Management Specialist
• Designing systems to support the creation, analysis, reporting, and monitoring of customer survey and IT performance measurements and metrics.
• Data Modeling and Design to collect, store, transform, and publish survey data and results.
• Develop Project Management supporting artifacts for compliance and quality assurance.
• Advisory, technical guidance, and subject matter expertise, coach, and mentor.

Data Management Specialist

Confidential

Responsibilities:

• Led a team of business and data analysts.
• Identified project tasks, defined scope of the ODS initiative.
• Prepared project plan and resource allocation.
• Performed as-is assessment and analysis of current state IT architecture.
• Identified gaps and opportunities. Presented recommendations on areas for simplifying IT architecture, minimizing cost, reducing operational risk, and improving data quality.
• Provided guidance and support for on-going data quality efforts.
• Completed all project tasks, goals on time within budget constraints with high quality deliverables.

Master Data Management-Data Governance SME

Confidential

Responsibilities:

• Subject Matter Expert for implementing Data Governance for MDM using Informatica.
• Implemented data governance and data quality programs for a Customer Data Integration (CDI) initiative.
• Defined data management policies and procedures relevant to Customer master data management.
• Facilitated enforcement of policies and procedures.
• Implemented data quality lifecycle program from issue identification to resolution.
• Collaborated with C level executives on a regular basis.
• Led data governance and stewardship council meetings for resolving conflicts and improving data quality.

Information Management Specialist

Confidential

Responsibilities:

• Led the reengineering of an out-of-compliance financial application and migrated it to a managed environment and achieved audit and corporate compliance.
• Responsible for the inception of Financial Reporting controls and operations system for preparing, cleansing, and reconciling the monthly book of business to support financial reporting modeling.
• Led detailed requirements gathering sessions, presented findings and recommendations. Clear and concise documentation. Transitioned to Operations & Maintenance.
• Acted as key business-technology liaison.
• Developed project plan, estimates, and resource requirements.
• Designed and developed data quality processes - identifying, measuring, monitoring on a continuous basis.

Senior Consultant

Confidential

Responsibilities:

• Facilitated Confidential in choosing the right COTS product to replace their existing Investment Accounting system.
• Evaluated technical proof of concept of different vendors.
• Studied technical capabilities of short-listed COTS products and assessed their technical capabilities in integrating with Confidential ’s existing technical environment and standards.
• Prepared comprehensive strengths and weaknesses document to aid the client in decision-making.

Confidential

Project Lead

Responsibilities:

• Conducted business requirements gathering sessions to understand business needs.
• Designed, Developed and Deployed logical and physical data models.
• Walked through logical model with business users to ensure all business scenarios are covered.
• Developed ETL transformations using Microsoft DTS (now SSIS) and stored procedures to collect, enrich, translate, and load survey questions, responses, and metrics.
• Externalized embedded computations and business rules to eliminate hard-coded rules. This allowed business to easily modify business rules, computations themselves.
• Designed, developed and delivered final product (database, logical model, reports) that met business requirements within time and budget constraints.
• Detailed Documentation of processes.

Confidential

MDM-Data Governance SME

Responsibilities:

• Studied existing business processes to support data governance.
• Identified and implemented data quality rules with the help of business and operations insight.
• Developed governance procedures to highlight data integrity issues prior to publishing to downstream systems.
• MDM team member Implemented data governance and data quality processes for their MDM initiative.

Confidential

Data Strategy Consultant

Responsibilities:

• Decentralized data management,
• Strategic sourcing,
• Payment delinquency, fraud, waste and abuse,
• Reliance on rebates as a source of revenue, and
• Lack of data standards in data processing.
• Analyzed data warehouse Build vs. Buy options and presented recommendations to the client.
• Developed data warehouse project plan and resource allocation.
• Conducted detailed business requirements gathering sessions using JAD sessions with the business community for the program-wide data warehouse.
• Documented business requirements and functional requirements for review and sign-off.
• Developed proof of concept requirements and sample reports for data warehouse, reporting solution, and management dashboard.
• Supported business case analysis effort for the data warehouse.
• Supported project charter by preparing communications plan, risk management strategies.
• Provided technology guidance to the FPDS-NG project with Visa and MasterCard on the socio-economic reporting project.

Confidential

Data Quality Consultant

Responsibilities:

• Lead team of nine data analysts in identifying, remediating and monitoring data quality issues.
• Prepared project plan for data cleansing effort comprising of more than 13 modules - GL, AP, AR to name a few.
• Prepared presentations for executive management on the business value and need for data cleansing prior to data conversion.
• Built automation scripts to kick off more than 5000 data cleansing scripts in a modular fashion. The scripts helped identify data quality issues by module, by issue type.
• Prepared and presented a dashboard with details of data quality issues identified, next steps, and recommendations.

Confidential

Tech Lead

Responsibilities:

• Performed detailed root cause analysis and resolved data quality and synchronization issues.
• Prepared impact analysis for database integration.
• Prepared project plan, time and resource allocation for data migration and integration.
• Interviewed and recommended Informix candidates for hiring.
• Integrated five databases into a single centralized database without any down time to business users.
• Supported application for more than 3 years including enhancements, database development, model changes, and optimizations.