SUMMARY:

• IT and business consultant with a 13 year track record of building propositions for Business Intelligence, Information Management, Data Strategy, Data Governance and Data Quality programs that includes 10 years’ of global experience in Banking, Public Sector Domains.
• As a data quality expert, ensured that the architecture is aligned to the business strategy delivering significant gains through operational and analytical activities
• Constantly striving to improve processes and product offerings through data analysis, creative problem solving, interpersonal communication and collaboration focusing on customer centricity
• Work effectively with business data owners and senior executives to communicate and implement Group data strategies - it includes developing data quality metrics that identify gaps and ensure compliance with standards across the organizations
• Managed critical projects involving coordination with multiple teams at multiple locations, ensuring schedule, cost and quality
• Led projects in leading edge technologies involving work using testing new methodologies in Data Strategy framework. Delivered these projects to meet customer objectives
• Full software development life cycle experience, including requirements gathering, business design and functional specifications, software implementation, acceptance testing and development/change management
• Driving consulting & solution architecture leadership to support several large information centric pursuits to help acquire new accounts and deepen customer relationships
• Analyzing RFPs and client environments for solutions to the problems that they are trying to address and finding areas to come up with recommendations on improving data quality and data governance

ARES OF EXPERTISE:

• Data Quality Management
• Data Cleansing
• Data Governance & Architecture
• Data Migration & Migration Testing
• Business Intelligence
• Data Modeling
• Project Management
• Meta Data Management
• Predictive Analytics
• Business Analysis
• Data Bases - Oracle, SQL Server
• IBM Info Sphere Server toolsets 8.5

PROFESSIONAL EXPERIENCE:

Confidential

Data Architect

Responsibilities:

• Understand the strategic, risk management and operational uses of data and translate them into data quality requirements. Developed data quality metrics that identify gaps and ensure compliance with standards across all the African countries
• Perform a thorough data assessment (profiling) exercise for African countries searching for common data quality problems and looking for abnormalities
• Coordinate, Implement and Manage the Enterprise Data Quality Program consistently across all the 16 African countries covering various information domains to ensure the capture of all relevant facets of data management processes and elements, e.g. definition, lineage, processes and controls.
• Lead data management processes implementation: conducted stakeholders interviews, obtained executive sponsorship, connected project deliverables to the KPIs; Conduct interviews with stakeholders and selected business users Identify data quality KPI’s - established data assessment and correction procedures, established issue management and resolution as well as reporting and score carding processes
• Lead and implement Data governance and Data Quality Solutions - Analyze data quality issues and provide solutions based on tools and process changes. Work with the business leaders to setup data governance bodies and support them with tools
• Actively participate in the data analytics - researching and reporting suggestions for business model improvements and analyze vast amounts of data and detect patterns
• Responsible for the development and implementation of processes to monitor and improve data quality and Conduct regular audits on data quality, including identifying and managing action plans
• Implement and support repeatable data management processes, assessing regulatory and audit observations, and performing analysis on data issues as prioritized through Enterprise Data Governance.
• Creatively resolved inconsistencies and issues to accelerate loading the enterprise data warehouse with clean data, providing solid data foundation for Know Your Customer (KYC) and Anti-Money Laundering(AML) initiatives and government regulations
• Led group of data analysts and ETL developers through the data profiling and analysis, evaluation of anomalies, design and implementation of data standardization and data enrichment routines for Enterprise Data Warehouse (EDW)

Confidential

Data Migration Lead

Responsibilities:

• Involved in Multicounty Roll-outs across 12 countries ; Interacted with business users to commence requirement gathering and did a thorough requirement analysis to determine the business need across all the Countries
• Detailed analysis was performed with inputs gathered from different stakeholders, a common requirement (“Golden Copy”) set was developed and baselined
• Involved in source system analysis to understand existing legacy system landscapes
• Ensure traceability of business requirements to the solution components, source to target and requirements to target mapping
• Implemented one centralized delivery factory Model approach - rolled out across various African countries that ensures reuse of assets, reduced risk and turnaround time saving for each country and very short notice period for future implementations
• Identified issues, discrepancies at various stages of the data migration process and provided insights into their root cause to facilitate quick resolution. Appropriate reconciliation capability at every logical steps to ensure the correctness and completeness of data migrated
• Was responsible for planning and developing Data migration testing strategies, along with specific test plans, test execution and defect resolution
• Individual Country applications were tested separately as per local requirements

Confidential

Senior Data Analyst

Responsibilities:

• Enterprise analysis of compliance requirements that affect the way business operates with different types of customers
• Analysis and gathering of functional and non-Functional requirements. JAD sessions and workshops were conducted with business users
• Data profiling and analysis of Source Systems; provide data exception reports showing critical violations of data/business rules
• Assess data quality & conformance issues between internal source systems and the newly acquired source systems
• Determine cleansing strategy based on the data quality assessment
• Supervise design, implementation and test of data sources required to meet operational and analytical reporting requirements
• Analyse and mine business data to identify patterns and correlations among the various data points to inform data warehouse design
• Define guidelines plan and oversee data conversion activities related to extract, data standardization and normalization, data quality, data consolidation

Confidential

Senior Systems Analyst

Responsibilities:

• Work closely with Business stakeholders to understand requirements to bring in new datasets, address conflicts or business issues
• Translate business requirements into technical/data logic specifications and review data definitions and designs generated by them
• Involved in source system analysis to understand existing legacy system landscape and development of source-to-target mapping specifications; design and implementation of data conversion programs
• Analysis of conflicts among data sources; design and execution of various data consolidation strategies
• Defined the business process model, developed ER diagrams, business rules and constraints, logical tables’ design
• Prepared Master data modelling document for Confidential
• Responsible for performing the management functions of planning, coordinating, implementing and controlling related to various data quality assessment tasks
• Monitored and analyzed data anomalies, estimated impact of discovered issues, identified and resolved root causes
• Set up the process of subsequent periodic assessments to monitor data quality in the database