Erica Stephens Email and Phone Number

Serving international and federal partners as an executive leader. Leading 75 team members in practices of: AI/ML, Data Engineering, SWE, Cybersecurity, Corporate IT, Cloud, DevOps, SRE, Program, Product, and Data teams to build and deliver solutions that make a positive impact.

USDS is a non-partisan tech startup at The White House delivering better government services and improving the lives of all AmericansI'm proud to have supported the resolution of the infant formula shortage of 2022 during my tour of duty and other national emergenciesLeading technical modernization efforts, on prem to cloud product assessment and migrations, procurement consultationCreating momentum and driving progress across disparate systems and programsPartnering with product managers, UX designers, procurement experts and C-Suite level / department executives for roadmap strategy, planning, and prioritizationDepartment level team building, partnering with recruiters, HR and talent teams for strategic planningGround level research with users, participants in programs, operational departments to gain insights and turn them into actionable plans. Building with users of systems not for them.Recommending technical strategy on SRE, data management, data analytics and reporting dashboards, onboarding and technical management, maintenance and operations guidanceFirefighting, procuring and building data pipelines and data science insights to inform strategic and rapid decision-makingDirector of Software Engineering | Chief Data Officer

Designed and implemented new organizational structure to create high efficiency, innovation and product delivery from cross-functional teamsLead modernization, tech debt removal and migration into AWS (Lift and Shift methodology while exploring cloud native re-builds)Ensuring successful launch of multiple $MM+ RESTful roadmap products by continuously advocating for customers and stakeholders; aligning all activities to a set of clearly defined requirements and product features Leading managers, team leads and engineers to meet fiscal goals, promote innovation and drive product roadmapData Science Fall 2020 Cohort by Correlation One, an immersive program taught by professors from top universities of Harvard, Columbia and MIT and more. Selected as a Fellow for Data Science for All Empowerment program with an acceptance rate of <6%

Leading teams of software engineers to successful completion of both short term, small and large ongoing projectsMaintaining multiple 24/7 high availability web services and triaging across network, database and application support teams for bridged solutionsCoordinating, networking and consulting across departments to accomplish common goals and progress on projects and deploymentsDeveloping and maintaining project plans and serving as an architect/BA/SME as requiredTargetting AWS Cloud Practitioner Certification 2021Creating automated test plans for AWS MigrationPlanning and prioritizing common goals across business and technical teamsBalancing project work with regular, production data deliveriesEnsuring my team has plenty of cross-training and new technology training opportunities

Launched and developed fully automated, lights-out fraud prevention and dealer audit productReverse-engineered black box processing into well-defined and clear business rules and solutions into an open systems, Linux and Oracle systemMigrated customers from mainframe, EBCDIC solution to open systems solution, carefully analyzing differences and resolving core concerns and differencesLead a team of developers to successfully complete migrations, new on boarding and customer acceptanceEarned IHS Markit Strive Award***SFDC Lead Developer June 2012-October 2015***Maintained and built new requirements management system in Salesforce.com to formalize the process from Sold-Won of Opportunities to production of data deliveries to tracking of progressBuilt several lights-out automated solutions to bridge disparate CRM systems and have bidirectional data consistency and completeness in dual systemsBuilt international requirements and delivery management system for Europe, Asia/Pac and AustraliaMerged Salesforce Orgs with newly acquired companies and performed data migration and integrationDesigned and launched SharePoint 2013 while leading a team of contractors of server farm admins and SharePoint SMEsTrained and coached new developer to serve as nextgen SFDC developer

350 Person Company at this time- Design, implement and test both small (<1MM records) and large scale (230MM records) ETL systems using Java, Talend, SQL Loader and UNIX scriptingDesign and implement data models using ER Studio based on volume of data, typical and most frequent type of user queriesPerformance tuning of SQL queries before production deployments; cutting many queries into 1/2 to 1/10 the original durationBuilding a system to promote ~24/7 up time within an Oracle 11g Exadata databaseEnforce role-based security of a restricted database, using views, roles or virtual private database (VPD) where applicablePerform in-depth data analysis on legacy systems to reverse engineer requirements Mentoring associate ITPA's by participating in the Polk College Grad "Buddy" programDesigned, implemented and documented an automated quality assurance systemLead a project team to migrate and re-deploy over 180 SQL, PL/SQL and VB applications to a new data center an 8i to 10g Oracle Database upgradeLead a team to implement a java-based Vehicle - Segmentation application with built-in quality checks to reduce the risk of manual data entryTrained our co-located team in Long Beach, CA on the automated quality assurance system, and basic UNIXExecuting and monitoring database administrator tasks, such as: Aggregate Table Loading UNIX Production Script Creation/Modification/MaintenanceStandardizing production of deliverables – emphasizing software engineering methodologiesServing as a gatekeeper to enforce that industry standards on coding and documentation are applied Mentoring junior engineers

Prototyped automated quality assurance systemStatistical reporting on vehicle registration volumes: both descriptive and predictive Regression analysis on registration data