SUMMARY

• Experienced data scientist, cyber architect, penetration tester, CIO, and business intelligence practice leader with over 20 years’ expertise in financial services, fortune 500, health - care, federal and state governments, higher education, and professional trade associations.
• Strategist who planned & managed several multi-million-dollar projectsaligning business goals with technologies driving new product solutions and business process improvements.
• Led BI, DW, Analytics, Visualization, & data science engagement teams building project requirements, project charter, WBS, detailed work assignments, project planning, and budgeting; facilitating buy-in of proposed solutions by stakeholders and SME’s delivering value-added projects to the organization.
• Expertise in the management of large to mid-size data driven project economics & project risks.
• Excellent communicator with the ability to navigate complex organizational challengers, form collaborative relationships and teams, while delivering consistent value-added project results to clients.
• Onsite expertise implementing data driven projects using the Agile, SDLC, Waterfall, & other software development methodologies.
• Able to lead large project teams simultaneously with a reputation for delivering high-quality deliverables and the ability to save projects in distress while meeting budgetary constraints.

TECHNICAL SKILLS

• Agile & Scrum
• Artificial Intelligence
• Cyber Security
• Cloud Technologies
• Disaster Recovery
• Data Arch
• Data Mining
• Data Analytics
• Data Warehousing
• Disaster Recover
• Big Data
• Data Mapping
• Data Visualization
• Splunk
• Data Cleaning Tools
• ETL
• SPSS, SAS
• MDM
• ITIL
• Project Management
• Knowledge Mgt
• Mobile Apps
• NoSQL
• Microsoft Dynamics
• ETL Tools
• CMMI
• FISMA
• NIST 800
• Erwin/Toad
• Schema Crawler
• Power Designer
• R Language
• Python
• Tableau
• KISAM-HP
• Git - GitHub
• Business Objects
• Hadoop
• AWS
• SharePoint
• JSON
• Cognos
• Crystal Reports
• JavaScript
• Java
• Linux
• IBM BigFix
• Web Analytics
• Splunk
• ResOne
• ForeScout
• TripWire
• Archer
• Kali Linux
• IBM Guardium
• Ubuntu
• MongoDB
• Docker
• AWS
• Liquidbase
• Hadoop
• Data Lakes
• Blockchain
• Predictive Analysis
• NoSQL

PROFESSIONAL EXPERIENCE

Confidential

Data Scientist

Responsibilities:

• Supported the BUR case selection process providing analytical recommendations in support of business operations.
• Provided architectural and schema expertise in the construction of fact and dimensional tables for data warehouses.
• Responsible for the development of the data science/data architectural vision, strategy, technology innovations, and data architecture used for data modeling, analytics, and data visualization.
• Implemented self-developed data science life-cycle model for the BUR case processing systems at the IRS.
• Developed mapping documentation identifying all source data systems, forming and integrating large datasets, and analyzing data collected in support of ongoing analytical projects.
• Applied latest technologies used in the capture and storage of data including the use of data warehouses for transactional data and data lakes for unstructured data.
• Automated the report generation process by using SAS, SPSS, SQL, and additional scripting languages.
• Developed the needed data schemas used to load source system data, assess data quality, and develop tuning schema in support of analytical requirements by business processes.
• Perform the analysis, design, development, and testing activities in support of new Splunk indexing and reporting.
• Implemented procedures used to convert the legacy reporting environment to the new BUR reporting environment including the development of web and mobile dashboards.
• Applied machine learning expertise using regression analysis, time series, probabilistic models, supervised classification and unsupervised learning activities.
• Validated extraction, transformation, and load processes used in development of large analytical databases.
• Developed new data models using data architecture tools such as Erwin & Power Designer implementing conceptual, logical, and physical data models including reengineering these models for various databases.
• Defined all legacy data flows by source allowing data to be exchanged between various systems ensuring all legacy application data is collected, stored, and retired.
• Experienced with Big Data concepts and technologies including the development of complex data models.
• Developed data dictionaries for new database applications addressing undocumented business processes. Prepared high quality design documentation, including visual diagrams, complex data models, and data flows.
• Maintains and updates Database Design Documents (DDDs) for associated business processes.
• Experienced project management using the Agile SCRUM development processes.
• Defined, monitored, and developed data standards, data quality validation, and data management procedures used in the integration of systems throughout the organization.

Confidential

Data Scientist

Responsibilities:

• Developed supporting CDM data applications used to implement the CDM Current & Future State in accordance with specifications developed by the IRS, Department of the Treasury, and Department of Homeland Security.
• Strategic advisor developing data management and architecture solutions in supporting several business units.
• Prepared CDM information delivery solutions for current & future state cyber tools to feed various Splunk indexes.
• Implemented data requirements collections for each cyber tool for existing and desired state for each business unit.
• Collaborated with all business processes ensuring business process cross-functionality and data strategy alignment.
• Identified and assessed cyber tools data requirements in the preparation of the cyber CDM data warehouse.
• Evaluated DHS Master CDM identifying the amount of customization needed to meet agency requirements.
• Planned Splunk requirements needed to feed the CDM agency dashboard using Archer visualization technologies.
• Assessed data requirements feeds from cyber tools, indexed them in Splunk in order to feed agency dashboard.
• Evaluated data flow by business unit in support of the development of agency data governance strategy.
• Provided high-level guidance and hands-on support for data migration and data cleansing projects.
• Determined IRS FISMA analytics reporting requirements for “As is State” and “Future State” in support of Homeland Security, the Department of the Treasury monthly, quarterly, and annual reporting requirements.
• Defined data collection requirements from cyber sources & Splunk environments supply IRS specific dashboards.
• Worked to define all data collected by each cyber tool, how it is stored, and finding ways to automate data feeds.
• Captured CDM business projects requirements helping to define CDM “As is State”, and “Future State” including the development of business process flow diagrams for HWAM, SWAM, CSM, & VUL management.
• Reviewed data requirements for CDM data model versions 1 and 2 as the holder of IRS CDM cyber data.
• Converted DHS CDM data model’s Version 1 & 2 into working IRS logical data model using a data architecture tool to providing data engineering for several forms of database management systems.
• Assessed sunseting cyber tool data requirements for inclusion into CDM Future State cyber environment.
• Completed architecture assessment and recommend needed customization of DHS CDM data model.
• Established knowledge transfer process from DHS CDM data architecture expert to the IRS Cyber team.

Confidential

Senior Strategic Program Manager

Responsibilities:

• Provided strategic program management direction and data assessment for the VRM PMO supporting 27 projects.
• Supported the VA deputy director on data governance (CDO) establishing overall agency data management strategy.
• Lead the highly visible White House Contact Data Integration project seeking to develop a single veteran sign on.
• Developed the EA&I development strategy used to transform new product offered by the division of VRM.
• Worked with VA’s Deputy Director developing new agency applications in analytics, business intelligence, knowledge management, and assessing data flows initiatives across the agency.
• Developed data warehouse supporting business processes including data usage, database architecture, and metadata and repository creation.
• Applied statistical modeling expertise using regression analysis, time series, probabilistic models, supervised classification and unsupervised learning activities.
• Determined data used by all 27 VA business units allowing the integration of data across all business processes.
• Helped to define future cloud technology needs using AWS based upon line of business operations.
• Supported the agency CDO, business analysts, SME’s, and development teams in the design of the MDM projects.
• Managed data-driven projects involving project timelines, vendor relationships, and budgets to ensure deliverables were met within specified timeframes.
• Developed ETL strategies supporting analytical project design & implementation for cyber and business processes.
• Owner of the data collection, analytics, and governance process with a focus on data strategy, analytics projects, governance, knowledge management, data quality, data integrity, in support of enterprise strategies.
• Proactively championed the value of data as a strategic business asset and revenue generator by providing the business and strategy teams with ideas and being able to transform those ideas into action.
• Obtained stakeholder & project SME buy-in across multi-functional environments and business units.
• Developed data collection strategies used to manage and sharing data across the VA business units.
• Led the technology assessment in standing up the new data center while acting as the VRM lead in Dynamics.

Confidential

Business Intelligence Practice Lead

Responsibilities:

• Led the delivery of BI, analytics, and data warehouse solutions raising organizational revenues by 50%.
• Designed and implemented the information architecture for partners and clients of the organization.
• Creation of information requirements, principles, context diagrams, conceptual, logical, and physical data models.
• Served as data and information champion creating and sustaining data driven technologies, processes, and policies.
• Implemented data architecture, vision and strategy, innovations, and enterprise architecture services.
• Provide superior leadership skills with the proven ability to lead transformational change and apply leadership models.
• Facilitated the design the new revenue sources used to enable and challenge thinking within the organization.
• Develop, execute, and modify client IT strategic plan and set the overall direction for the organization.
• Mentored data architects, developers, and analyst of all levels of industry best practices, procedures, and concepts.
• Collaborated with client IT development staffs to develop internal compliance controls for SOX, PCI, and HIPPA.
• Led the development and execution of enterprise-wide disaster wide continuity plan for all clients.
• Designed the professional services resource model and incentives necessary to deliver repeatable revenue growth and the generation of standard data architecture for the financial and retail industries.
• Participated in meetings with technology and BI business teams to facilitate the understanding, clarification, and implementation of organizational data requirements.
• Researched, identified, and acquired several high dollar contracts for the organization.
• Built several high-performance project teams of BI, CRM, ERP, KM, and software engineering professionals.
• Established data governance processes aligning processes to organization’s business needs.

Confidential

Chief Information Officer

Responsibilities:

• Oversaw an information technology budget of $25 million for several domestic and global locations.
• Senior data and business intelligence individual responsible for developing new BI applications.
• Worked extensively with venture capital representative defining new BI revenue generating models.
• Led a staff of 55 individuals in the disciplines of customer support, software engineering, and data center.
• Senior manager tasked with the design and implementation of several new e-commerce applications.
• Provided expertise and consultation on all data driven initiatives for the organization.
• Optimized IBM’s data vendor management and conducted vendor performance and risk assessments.
• Worked directly with the CEO and COO developing new business and revenue operations.
• Adept at leading the development and launching new technologies such as BI and portals.
• Integrated call and data center technologies with Voice over IP to enhance customer retention.
• Directed the new practice areas of data analytics and cyber security generating new revenue sources.
• Identified all architectural risk ensuring a mitigation strategy was in place for practice area.