Jeffrey Harris Email & Phone Number

Charlotte, Nc, Us

Tampa, Florida, Us

• Lead the creation and implementation of architectural best practices, design patterns, and development considerations for end-to-end data and analytics requirements. Ensure all data project and development efforts align with enterprise architecture vision and security requirements. • Define and implement the enterprise data architecture framework to support enterprise data and analytics strategy, including data pipelines, data lakes, data warehouse/marts, data governance, data models, semantic models, metadata management, analytics, and AI/ML capabilities. • Create and deploy standards for data ingestion, storage, organization, modeling, and enterprise project data requirements. Champion UMA's enterprise data management strategy that continuously improves the organization's ability to derive value from data. • Collaborate with enterprise architects, data engineering, data governance, application architects, infrastructure architects, information security architects, project management, and other IT teams to affirm that data architecture requirements are effectively addressed in enterprise initiatives. • Define Data Ops, ML Ops, and DevSecOps standards for CI/CD processes of data projects. Lead development and implementation of Cloud FinOps for enterprise data requirements. Advise on resource planning, personnel decisions, and team structures to meet the institution's current and expected future needs. Provide inputs to Opex / Capex budgets. • Partner with business leadership to strategically address requirements and champion data strategy vision. Guide organizational change management to enable the organization to embrace advances in UMA's data ecosystem.• Coach Enterprise Data and Analytics team members to understand, embrace, and implement data architecture imperatives to build robust, sustainable data solutions. Enable a high-performance data organization capable of delivering enterprise data strategy.

Durham, North Carolina, Us

• Developed the enterprise data strategy and associated reference architectures for assigned data domains.• Led the technical architecture across enterprise data services and systems; published information-sharing strategies and reference architectures to support key initiatives and business requirements.• Facilitated the alignment in defining business glossary, created enterprise level common information model, as well as defined enterprise canonical data model.• Defined, designed, and documented data services, interfaces and data flows with big picture awareness of data sources, interfaces and data flow across the enterprise.• Captured current-state information architecture and develop roadmaps to transition to future-state.• Championed business performance improvement through enterprise information solutions and capabilities, such as data lakes and marts, master data management (MDM), metadata management, business intelligence (BI), content management, data integration, and related components.• Contributed to the development of a corporate data policy and data governance processes outlining data stewardship, data quality, and data integrity to support the appropriate use of information across the organization.• Evaluated emerging trends in enterprise information technology and the Clinical Research industry and determine impact to future-state architecture.

Fort Lauderdale, Fl, Us

• Led the design and implementation plan for the bank’s Enterprise Data Warehousing solution.• Collaborated with Solutions Architects to define the Data Strategies for the business, including policies, principles, governance etc.• Pursued clarification and understands of new product requirements from product functional team.• Translated product requirements to conceptual design from database perspective.• Owned design and development/enhancement of data model and database objects.• Provided guidance on technical solution for product requirements and provided direction to development teams.• Developed and maintained the Conceptual, Logical & Physical Data Models Conceptual/Logical Data Models and related data dictionary documentation.

Greenwich, Ct, Us

• Overall responsibility for the XPO Logistics’ data and integration architecture, working closely with Enterprise Architecture.• Reduced cost of integration from over $2.5M to less than $90K by redesigned the Europian Supply Chain data feeds from 155 Warehouse Management Systems to the SMART application (planning & analytics solution).• Developed the SMART canonical data model to ensure uniformity and consistency of data ingestion.• Led initiative to draft the AS-IS and TO-BE data architecture landscape of the Human Resources environment, comprising of several cloud-based SaaS offerings and dozens of on-premises solutions.• Designed a management strategy for the HR SuccessFactors’ various datasets, handling critical data masking to ensure compliance to regulations and protection of confidential data.• Created a decision tree for HR to ensure correct data integration solution and source usage for BI initiatives.• Developed and documented XPO Logistics data modeling standards and procedures.• Assisted the Master Data Management team in defining the boundaries, data governance, and best practices regarding their MDM solution.• Key role on the European BI team in defining the SAP to Data Warehouse data feeds and reporting metrics.

Grantham, Lincs, Gb

• Promoted to lead the international data architecture / data management consulting team, providing mentorship, knowledge transfer and guidance on data management tends, including big data, NoSQL, data lakes and cloud database practices.• Consult clients with the design and deployment of transactional databases, operational data stores, data warehouses, reference data management, master data management and business intelligence reporting solutions, delivering best of practices and extensive knowledgebase of data tool sets.• Grew consulting business by approximately 350% within 4 years.• Designed and built flagship data governance framework solution for clients to adhere to data governance principles, best of practices and standardizations. Managed and implemented solution roll-out to clients.• Key speaker at 14+ conferences, including ERworld online conferences, erwin Summer Series, DBTA talks, DMZ conferences, DAMA Chapter events, Sandhill sponsored events and others.• Designed and built over 20 productivity enhancing add-on applications to data tools for clients to assist in automation and performance optimization.

Grantham, Lincs, Gb

• Established the Southern African division of Sandhill Consultants operation.• Achieved 80% of South African, and 40% in the remaining African region market share within 3 years.• Provided mentoring, training and support to clients related to data architecture, data management, data modeling solutions and best of practices.• Key speaker at 12 conferences, including CA World, ITWeb conference, IT Management Symposium, ERworld online conferences, Sandhill roadshows and others.

Wellington, Nz

• Conceived a consolidated enterprise view of a law enforcement agency’s data landscape to bridge their isolated agile project efforts. • Developed their Master Data and Reference Data Management strategies and reworked their Software Development Life Cycle to provide a data focus and trained the data architects on the new SDLC procedures.

• Instituted an Agile data design process and mentored the data modeling team at a software development company to be able to exploit the benefits of an Agile SDLC while ensuring a robust data design for their customs and tax authorities' product.

Midrand, Gauteng, Za

• Designed and implemented an Enterprise Data Warehouse database fora major bank using Teradata’s industry standard Financial Services Logical Data Model and Teradata database platform, to meet their BI requirements.• Founded the bank’s strategies, standards, policies and procedures with respect to the Enterprise Data Warehouse design and model management, metadata management, master data management, data quality and ETL/ELT exception handling.

Cape Town, Western Cape, Za

• Mentored the new Enterprise Data/Information Architect, training of new data modeling competence staff, and performing post-hand-over services to bridge the knowledge gap of a large retail company’s permanent staff.

Johannesburg , Gauteng , Za

• Created an EDM (Enterprise Data Model) for a railroad infrastructure company and built a custom web portal for communicating of the data models to the consumers of their EDM, the assignment also included the reverse engineering of all operational databases and establishing the semantic lineage between them and the EDM.

Johannesburg, Johannesburg, Za

• Refined and documented a national bank’s BI environment to reduce redundancy of data stores, optimize ETL processes, and to provide guidance as to how to comply with privacy data requirements within the database documentation.

Johannesburg , Gauteng, Za

• Designed and implemented an ODS (Operational Data Store) and Business Data Warehouse database for a financial institute, hosted on a Teradata database platform. Included the building of virtual cubes for querying and providing data quality metrics.

Copenhagen, Dk

• Built a Global Data Warehouse and Business Intelligence database in record time to support a collaborative team of business analysts from all corners of the globe for a shipping company.

Cape Town, Western Cape, Za

• Established an Enterprise Data Architecture competency within a large food and textile retail company to service all data design needs for the relevant development teams.

Bachelor Of Science - Bs, Computer Science

Associate’S Degree, Computer Data Processing

Project Management

Project Management Primer

Project Management Standards