Johnnie Jones MSDA, MSEd
Director Data Engineering @ BECU
About
Accomplished Data Engineering Director with 15+ years of specialized expertise in enterprise data architecture, advanced analytics, and large-scale data platform development. Demonstrated success designing and implementing comprehensive data strategies that enable real-time analytics, support AI/ML initiatives, and drive business intelligence across complex organizations through advanced data orchestration and workflow automation. Proven leader in building scalable data infrastructure with enterprise job schedulers (Airflow,,Google Cloud scheduler, Control-M, Autosys, and Orchestrator), establishing data governance frameworks, and leading high-performing engineering teams. Deep expertise in modern data stack technologies, cloud-native architectures, and analytics platforms with strong focus on automated pipeline management, data quality, security, and performance optimization. MIT EMBA 2026 (Sloan Senate).
United States
Dallas-Fort Worth Metroplex
Banking
Application Management, Proactive Leadership, Pipelines, Personally Identifiable Information (PII), Overcome Obstacles, Career Path Planning, Staff Training, Data Privacy, Budgeting, Staffing Models, Reporting & Analysis, Attention to Detail, Talent Development, Generative AI, Datasets, Descriptive Analysis, Work Process Development, Strategy, Cross-functional Team Leadership, Research Skills
Experience

Director Data Engineering
• Strategic Data Architecture: Led design and implementation of enterprise-scale data platforms supporting comprehensive data strategy initiatives, architecting of cloud-native solutions on Azure that reduced data processing time while enabling real-time analytics capabilities and establishing a unified data-centric architecture (to democratize data across business domains and support self-service analytics frameworks for enhanced data-drive decision making). • Data Governance & Quality: Implemented comprehensive enterprise-wide data governance frameworks following industry best practices including DAMA-DMBOK standards, ISO 8000 data quality principles, and BIAN (Banking Industry Architecture Network) standards for financial services data modeling, ensuring regulatory compliance across multiple jurisdictions while establishing end-to-end data lineage tracking and automated data quality monitoring with statistical profiling and anomaly detection for critical data sources. Established centralized data catalog with business glossary and standardized data dictionary policies adhering to BIAN semantic frameworks and metadata management best practices, while implementing semantic layers and domain-driven data models aligned with BIAN business domains that enable consistent business definitions and support federated analytics governance across specialized analytical tools. • Team Leadership & Scaling: Built and managed high-performing data engineering teams, data architects, and data analysts while establishing data engineering excellence standards, resulting in consistent improvement in delivery velocity with increased platform uptime • Technology Innovation: Drove adoption of modern data stack technologies implementing best practices for integrated Databricks and Snowflake data platforms, while utilizing Snowflake's multi-cluster architecture with automatic scaling and zero-copy cloning for cost-optimized data warehousing.

Sr. Manager II Data Science and Data Products
Led design, development, and delivery of comprehensive data science products on Google Cloud Platform using agile product management best practices including sprint planning, MVP development, and iterative delivery methodologies with continuous stakeholder feedback loops. Architected BigQuery-centric solutions with serverless architecture that reduced data processing time, establishing product roadmaps and stakeholder alignment frameworks for scalable data product development through cross-functional agile teams. Built and managed cross-functional teams of data engineers and data scientists using agile practices, driving adoption of modern GCP-native technologies including optimized BigQuery clustering, medallion architecture with Cloud Storage and Dataflow for feature engineering pipelines, and ML-ready datasets as production-grade data products across multiple business units, resulting in annual cost savings with consistent platform uptime supporting petabyte-scale data science product portfolio.

Sr. Manager II Data Solutions, Architecture and Analytics
Led cross-functional team of financial solution architects developing enterprise BI strategies focused on financial forecasting, planning, and implementing best practices for monthly, quarterly, and annual financial closing processes supporting corporate financial statement reporting cycles. Collaborated with Product Owners using agile methodologies to deliver strategic technology solutions enabling streamlined close management workflows. Received Spark Award (top technologist of quarter) for developing vendor accountability scorecards. Designed and implemented inflation adjustment analytics solution financial modeling capabilities supporting SOX compliance, regulatory reporting requirements, and comprehensive financial planning across monthly, quarterly, and annual reporting cycles.

Enterprise Decision Scientist
Oversaw enterprise analytics projects converting business opportunities into comprehensive BI and advanced analytical solutions, determining data strategic direction with emphasis on driving measurable business value through predictive and prescriptive analytics. Built sophisticated algorithms solving complex business problems across financial forecasting and operational optimization, generating data-driven recommendations through statistical modeling and machine learning techniques. Drove continuous improvement of advanced analytics initiatives by researching industry best practices, establishing analytics governance frameworks, and implementing automated model validation processes. Enhanced visibility and accessibility of financial data through platform reliability improvements, establishing real-time dashboards and self-service analytics capabilities that reduced reporting cycle times and increased data democratization across enterprise stakeholders.

Sr. Manager II Financial Systems
Led Enterprise Performance Management (EPM), Business Intelligence (BI), and database initiatives from concept to implementation by consulting with business leaders to align on business strategies. Assisted in defining and documenting requirements and scope of work while assessing potential solutions to drive process efficiencies. Led in the development of Business Intelligence Models (BIM) and the continuous support of data solutions while consulting with business partners to resolve conflicts (for example, customer design elements); documenting final solutions; and the training of business stakeholders. Led development and maintenance of “Databases-Datamarts” as well as business intelligence processes by serving as a subject matter expert on multiple financial applications and tools – while partnering with leadership to enable short- and long-term business strategies. Provided database, BI process, and technical support for multiple departments (for example, Finance, Operations, Merchandising) and segments by generating "best in class" solutions.

Senior Consultant, Data Analytics
Savannah River Nuclear Site
Government contract to develop financial Planning solutions (planning, forecasting and budgeting) - as well as Financial Reporting (BI and advanced analytics) for the Department of Energy – scope was later increased to include Financial Planning solutions for the Department of Defense and Homeland Security.

Senior Consultant, Data engineering and Analytics
High Point, NC
Contracted to head the migration of financial applications (forecasting, planning and budgeting), Business Intelligence solutions, and reporting systems (implementing semantic layers) while staying in sync with a company database platform upgrade.

IT Associate, Technical Lead Data Analytics
Oak Brook, IL
IT Associate serving as a senior technical lead on a global client reporting team responsible for corporate reporting generated from Business Objects, Crystal Reports and Hyperion Essbase. Initial responsibilities with the firm included application development in Cobol, Java, .net and database development in Sybase (TSQL), Oracle (PL/SQL) and MSSQL.

Senior Technical Lead
Montgomery Wards
Chicago, IL
Project manager/lead analyst for the development of message queues on mainframe platforms to communicate with other company platforms in the daily transmission of sales and advertisement data. Assigned and managed a team of consultants working with stakeholders from the business unit – BU stakeholders included store/district mangers throughout the nation.

Senior Data Analyst
Hoffman Estates, IL
Contracted as a Senior Systems Analyst at Transamerica through CG Computer Services and later hired as a permanent employee. As a senior system analyst responsibilities included working directly with clients to gather requirements for the design and development of leasing credit approval applications. Responsibilities extended to the managing a group of consultants in preparing COBOL and CICS programs for Y2K. Recognition included selection as one of CG Computer Services employees of the year.

Chief Information Officer
Chicago, Illinois, United States
Led technology efforts in building an integrated funeral service system - with time & attendance module for automated scanning and recording of work hours (fully integrated with payroll systems); reporting for taxes and financial filings; network of offices to digital printshop and display monitors (providing updated funeral service information throughout all facilities). Developed and implemented first fully integrated funeral service system.

Data Warehouse Manager
Chicago, IL
Served as the initial project manager responsible for the migration of all COBOL applications to a new hardware platform. Worked on the company’s initial data warehouse team as a data warehouse analyst as part of an initiative for housing data from various business units into one Data Warehouse to provide greater exposure of client credit portfolios across product lines. The position later evolved into a functional manager of the data warehouse team.
Education

Educational Psychology
Learning is not exclusive to schools; humans learn continuously throughout our lives and across multiple contexts. Understanding what facilitates this process – how people learn and how others support that learning – is the goal of educational psychology. NIU’s, interdisciplinary Ph.D. program focuses on the learner, the instructor, the context for learning and the journey of learning, including learning theory, motivation, human development, cognition and the role of culture.

NIU faculty challenges you to push the boundaries of learning by imparting knowledge derived from their research and teaching expertise, as well as best practices in the industry. They expose you to Hadoop, R, Python, SQL, SAP Predict Analytics, SAS, Tableau and other cutting-edge technologies throughout the curriculum.
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