Years of leadership
Supply chain, enterprise systems, safety risk, and cross-functional transformation.
Supply Chain | Technology | Enterprise Transformation
I lead supply chain, data, SAP S/4HANA, risk, and AI-enabled transformation work that turns operational complexity into practical business outcomes.
Supply chain, enterprise systems, and operational transformation.
Readiness, process alignment, adoption, and implementation support.
Decision enablement grounded in trusted data and practical workflows.
My work sits where operations, technology, risk, and leadership meet: making complex programs understandable, aligning stakeholders around what matters, and moving teams from analysis to execution.
I bring a systems view to supply chain transformation, data readiness, safety risk management, and forward-deployed technology direction, with a focus on useful AI and analytics rather than theater.
Transformation succeeds when the operating model, data model, and human adoption model reinforce each other.
Supply chain, enterprise systems, safety risk, and cross-functional transformation.
Business readiness, process alignment, data quality, and adoption support.
Analytics, knowledge graphs, automation, and trustworthy data products.
A quick operational view of the domains I connect when transformation needs to move from concept to sustained capability.
Planning, fulfillment, inventory, supplier coordination, and manufacturing support.
Ownership, validation, reconciliation, traceability, and decision-ready information.
Hazards, controls, mitigations, residual risk, monitoring, and governance evidence.
Readiness, data conversion, integration, testing, cutover, and adoption support.
Use-case intake, semantic structure, workflow automation, and insight enablement.
Embedded discovery, product direction, technical coordination, deployment, and value tracking.
Convert messy operational needs into a shared problem statement, decision path, and implementation sequence.
Bridge field realities, leadership goals, process design, system constraints, and data dependencies.
Improve data quality and analytics so teams can act with confidence instead of arguing with reports.
Keep transformation grounded in the people, rhythms, governance, and habits required for durable change.
The highest-value work happens when process, data, risk, teams, and technology are treated as one connected system.
Embed with teams, understand process hazards and dependencies, then turn operational reality into clearer requirements, controls, and execution paths.
I am strongest in environments where the answer is not only technical: where leaders need better information, teams need clearer process, and implementation has to survive contact with day-to-day operations.
SAP S/4HANA readiness across 35+ domestic sites, data conversion, integration, risk governance, mitigation planning, and leadership decision support.
Led operating cadence, analytics, SQL/Access/VBA reporting, and executive visibility that contributed to a 52% reduction in shortages.
Led inventory data accuracy work to 99%+ IRA, built KPI structures, and managed warehousing, expediting, shipping, receiving, and floor support.
Deeper portfolio evidence, career direction, and the roadmap slide that shaped this site.
A focused portfolio of work themes that show how strategy, systems, data, and operating discipline come together.
Improved confidence in planning and operations by clarifying data ownership, quality expectations, and system dependencies.
Connected business process, stakeholder readiness, issue resolution, and implementation detail for enterprise-scale change.
Applied automation, analytics, and knowledge-graph thinking to improve how teams find signals and make decisions.
Strengthened governance, decision support, and compliance practices through clearer systems and better information flows.
A focused view of formal education, technical certification, and leadership development that supports the operating model behind the work.
Bachelor of Science, Software Engineering: full-stack development, data structures, databases, software security, testing, UX, version control, documentation, and cloud deployment.
Credential ID CeDiD: 255V-SUKR-MRNE
Verify WGU credentialAssociate in Applied Science, Computer Information Systems and Security.
AI opportunity assessment, workflow redesign, portfolio prioritization, communication, and business application.
Cloud concepts, AWS services, security, architecture, pricing, and support fundamentals.
Project coordination, constraints, communication, change, and delivery fundamentals.
Systems support, troubleshooting, hardware, operating systems, networking, and technical service foundations.
Applied generative AI advocacy, emerging technology enablement, and responsible AI adoption support.
Advanced engineering design tooling and product-modeling capability.
Education builds capability. Career experience expands scope. Both convert into safer, clearer, data-informed organizational value.
Begin M.S. Computer Science, strengthen data, knowledge graph, and solution-design capability.
Complete the M.S., begin MBA work, and sharpen controls, monitoring, and adoption measures.
Continue MBA while building finance, product, and change-leadership skills.
Complete MBA target, strengthen executive communication, and deepen enterprise influence.
Develop coaching, talent, workforce planning, and responsible technology governance.
Define system hazards, process gaps, data gaps, traceability needs, and AI portfolio maturity.
Deploy solutions that improve knowledge access, controls, monitoring, and team enablement.
Strengthen repeatable problem solving, knowledge graph foundations, and user readiness.
Reduce duplicated effort, manual work, and fragmented roadmaps across shared needs.
Grow capability, ownership, and safer data-informed operations end to end.
Lead supply chain transformation in a forward-deployed model.
Lead requirements, product direction, and developer collaboration.
Own vision, roadmap, priorities, adoption, and value tracking.
Build sponsorship, stakeholder trust, and enterprise product-management range.
Gain direct-report experience while leading people, products, and outcomes.
2031-2033: deepen first-line leadership. 2034-2037: senior manager path in supply chain technology and AI. 2038+: executive path in digital transformation.