Sr. Data Architect Resume

SUMMARY:

Data Architect and Business Analyst for leadership and development of data products - data asset value for any organization, its Data Management and Analytics for Chief Data Officer (CDO), Auditors, Investigators, Data Engineers and Data Scientists; turning information anxiety to information advantage.
Has delivered sustainable Program Management for Data Architecture & Data Management solutions and results, across many industry sectors such as Financial Services and Securities, Travel & Transportation, Logistics and Supply Chain, Manufacturing and Distribution, Education, Health & Pharmaceutical, Government at all levels.
CDO, Audit, Investigation Assistance - review and guidance for strategic leadership of data and Data Governance programs and work plans
Business Analysis, Business Discovery and Business Cases, Business Rules, Business Requirements
Data Architecture and Integration, Data Migration, and Data Management Modernization
Data Governance, Quality, Curation, Common Standards
Data Modelling, Master Data, Reference Data, Metadata
Data Capture, Integration & Testing
Data Availability, Reliability, Consistency, Risks
Data Warehousing, Data Lake, Business Intelligence and Analytic Frameworks

PROFESSIONAL EXPERIENCE:

Confidential

Sr. Data Architect

Responsibilities:

Created a new program and framework for Data Governance within this regulated multi-campus higher education institute for ERP and EDW
Leadership and management of a new (Greenfield) Teradata Data Warehousing initiative, from concept through delivery and production; including Regulatory Compliance and Analytics, Data Governance and Data Quality, Privacy and Security controls; led team of 25 direct reports

Confidential eradata Professional Services

Responsibilities:

Performed an Architectural review and assessment of the Bank’s new Financial Data Warehouse (then) in development, for a new initiative for Monetary Financial Institution (MFI) Regulatory Reporting, as required by the Danish Central Bank (DBC) and European Central Bank (ECB)
Analyzed and assessed current Data integration and data management implementation (Talend and Java VM) design and patterns, including top performance concerns, all in the context of Data Integration (DI) and Data Management (DM) best practices.

Confidential, Illinois, USA

Sr. Global Data Architect

Responsibilities:

Redefined “Customer Information” data model for global integration, consistency and use, as well as integration points with global business processes and operational systems - for Finance & Legal, Marketing & Sales, and Delivery & Service purposes
Created an internal global program for automated Data Quality and data profiling.

Confidential

Sr. Data Architect

Responsibilities:

Elicited and delivered business requirements for a new business process rules repository and processing engine to measure, assess and process commissions based on sales performance through external channels.
Designed the ETL Architecture, ETL Testing design, dimensional data model & data content validation, and Quality Assurance for a corporate marketing Guest Data Warehouse

Confidential

Sr. BI Architect

Responsibilities:

Combined requirements from six production data warehouses and created a new unified and integrated design for the railway for an enterprise-wide Business Intelligence Architecture, including Data Architecture and Management, System Architecture and Management
Metadata Management and Data Integration, Reporting and Information Access Architecture; Gap analysis relative to current BI capabilities
Roadmap and Transition plan for implementation of new architecture, Resource roles, responsibilities and skills required for support

TECHNICAL SKILLS:

Data Governance and Data Management Charter, Scope, Policy, Process, Job Description
Business Analysis, Rules, Requirements, Data Discovery & Sharing
Data Management, Data Integration, Data Infrastructure Assessment, Gap, Roadmap
Governance, Master/Reference/Meta Data, Quality, Curation, Privacy
Architecture, Data Lifecycle, Data & Development Standards
Data Standards, Data Modelling, Industry Models (e.g. FSLDM)
Integration Transformation, Conversion, Migration
Load Management, NRT, Streaming, Archiving
Error, Balance, Audit, Control
Analytics, Visualization & Dashboards, Risk Management, Decision Making
High Availability, Backup, Disaster Recovery, Fall - back
Integration Architecture, Design Patterns ETL, ELT, ETLT
Run Book, Production Support, SLT, SLA
Data Warehouse, Data Integration & Migration; in-house, Service Bureau, Cloud
Data Mining, Reporting, Visualization & Dashboards
Error, Audit & Controls, Regulatory Compliance
BI, Analytic Framework, CRM Flat Files, VSAM, RDBMS
Incident and Change Management, Revision Control
Waterfall, Agile
Program / Team Leadership, Management, Supervision; on-shore, off-shore