Responsible for defining and integrating existing data structures into visible and actionable business plans.

Hired to bring a manufacturing process mindset to an Exploration and Production Oil and Gas company by developing and executing a Continuous Improvement (CI) strategy linked to its business plan. - Collaborate with field operations staff, external consultants and internal project management teams to ensure effective delivery of the program.- Create and implement an understanding of Value Stream analysis to improve process throughput. - Develop internal resources in CI skills, methodologies and techniques. - Lead the change and communication management for the program. - Work closely with leadership teams to introduce lean production and measurement methods that track performance, recognizes improvement initiatives, and supports people’s potential for achievement. - Define strategic goals (purpose), help others to see problems within the process and develop/ empower people to solve problems that result in high value results and commitment to the process.- Organize and lead CI projects that delivers on target results.- Empower and lead cross-functional change project teams.

Develop and implement the engineering strategy for the preferred automotive remanufacturer in the United States. Tier 1 Supplier of automatic transmissions and engines for Ford, Chrysler, GM, Honda, Nissan, and Subaru.-Develop business plans to support the ongoing manufacturing of automatic transmissions and engines-Organize activities to successfully win and onboard new business opportunities-Mentor and coach engineering department personnel-Develop lean and flexible manufacturing processes to deliver highest quality automotive components to customers.

Created team to develop and automate final test stands for automatic transmissions and engines . Focus of team was to standardize testing methods, equipment and software in order to develop a best-in-class test team. Partnered with automotive OEMs to replicate plant capabilities. Reduced downtime on equipment by 30%, maintenance costs by 20% and test cycle times by 20%.