Strategizing, leading, and executing continued analytic change in DFC's Product Engineering organization. Collaborating with Cross-Functional Senior Leadership to improve processes, find data synergy, and create/monitor/validate smart KPIs. Driving, mentoring, and growing foundational six sigma engineering practices that leverage critical thinking, exploratory analysis, experimental design.

Leading transformative analytic change in DFC's Product Engineering organization. Collaborated with Engineers, Product Managers, and Program Managers help build automated portfolio management tool, and improve all aspects of interfacing with portfolio data. Driving, mentoring, and growing foundational six sigma engineering practices- Product Analytics Roadmap creation, execution, and adherence monitoring.- Created and deployed Delta Faucet's first Product Portfolio Management PowerBI Dashboard. The dashboard automates monitoring of Delta Faucet's extensive Product Portfolio. Key KPIs monitored include both Product financials and Project schedules.- Lead portfolio management data streamlining efforts to collapse, standardize, and automate product portfolio data collection efforts.- Planned, launched, taught, mentored DFC's Six Sigma Blackbelt Class 1. This class consisted of 12 Blackbelt candidates from across the business, including core engineering and manufacturing talent.

Leading omni-channel sales/marketing experimental strategies to optimize spend budgets, advertising product assortment, and online marketing strategies. Created, deployed, and supported several Power BI dashboards to democratize data and bring quick, actionable insights into the hands of cross-functional stakeholders. - Data democratization to stakeholders via PowerBI dashboard tool launches and management. Ownership of cross functional stakeholder requirement gathering, PDSA loops, launch, and post-launch support. Dashboards included Amazon Whitespace, Ratings and Reviews, and Product Bundling.- Planning, executing, and analyzing large scale cross retailer and cross category marketing experiments to help understand incremental return on ad spend as well as optimize budget spend and marketing strategies.- Teacher and SME for Six Sigma methodologies (Six Sigma MBB certified), creating original content, teaching product engineering and marketing/sales, as well as supporting outside of teaching workstreams like improved product reliability testing and process mapping.- Responsible for Stackline stewardship including managing the relationship with this vendor, scheduling and managing topics for quarterly business reviews, managing the DFC user base, creating and dispersing training material.- Lead Daily Management sessions with sales and marketing focusing on monitoring availability, pricing, and search term placement for DFC's Top 500 SKUs. Over $1M+ in annualized contributions to POS bottom line.- Deployed dozens of analyses with actionable insights that included the use of python/pyspark/DAX/SQL to execute statistical modeling and in depth exploratory analysis.

- Lead the Verification & Validation strategy that defines the infrastructure and methodology used to satisfy requirements of an architecture roadmap. Delivering predictable product performance that delights consumers and satisfies the needs of the business and stakeholders. Driving continuous improvement of consumer satisfaction vs. internal validation correlations as identified by Quality Function Deployment (QFD) assessments.- Leveraging MBB methodologies to lead Global Laundry Reliability transformation. Responsibilities include assessing global laundry reliability product testing, developing requirements, installing test procedures and testing methodologies for 10+ architectures (4 platforms, 500+ SKUs, North & South America/Europe/Middle East/Africa).- Managing the global Dryer technology requirement database using IBM Doors Next Generation (DNG) and IBM Rational Quality Management (RQM) .- Leadership responsibility for the following cross-functional laboratory areas:Global Dryer laboratory organization’s shift to increase usage of virtual testing vs. physical testing for high volume regulatory testing in 2020/2021, simulation testing usage increased 20% vs. 2019.Simulation Based Design interface with global platform teams enabling simulated validation test methods.

- Created and deployed critical parameter management testing strategies and roadmaps for increasing product and process predictability and stability for North American clothes dryer Department of Energy performance.- Led a team of engineers responsible for development of robust web scraping tools of third party websites. The data captured was then used to statistically cluster competitive machines into architecture groupings. These statistical groupings allowed for competitive performance benchmarking.- Utilized market research methodologies to build sequential DOEs focused on developing requirements for longitudinal degradation in product attribute performance (machine performance over time acceptability).- Leader to update the legacy methods used to build the dryer platform QFD. Leveraged modern MBB statistical techniques to prove a company wide consumer survey that had been used for 10 years was providing no additional value. This led to the removal and replacement of the survey saving $400k/yr. expense spending.- Invented modernized Product Reliability non-conformance acceptance criteria process and governance. Led the organization to change non-conformance platform acceptance from 90% Confidence @ 10yr. life to 100PPM SIR Non-Conformance leveraging 8+ years of SIR data.- Introduction and sustainment of risk evaluation tools for product level regulatory attributes. Tools leveraged long/short term process and product variation, Monte Carlo, and industry standard variation allowance to calculate, communicate, and debate market exposure risk should machines be subjected to regulatory testing.

- 2018 / 2019 Global Master Blackbelt conference - VOC to VOE subcommittee leader. Bringing our global MBB community together to establish best practices and present insights to improved VOC to VOE throughout the company.- Continuous teaching and mentoring of Blackbelt candidates, as well as teaching module creation around topics commonly found in the product development workplace (i.e. “One Factor at a Time Experiments”, “Predicting Rare Events”, “Consumer Science & Text Analytics”, “Market Research: STEP and Conjoint Studies”)- Created and developed design of experiments and methodologies to validate subjective scoring of performance attributes.- Developed consumer clothes load input models for 30+ global architectures utilizing consumer studies and Monte Carlo simulation to build rigorous, more consumer relevant, testing requirements.- Created COP for leveraging text analytics to pinpoint “where and how to work” more reliably from field repair technician comments, global SIR consumer complaints, and 5 star review text.- Text Analytics delivered data insights of: 260k+ Field Technician reports, 700+ Internal & Competitive products, 15+ Third Party Websites, 11k+ 5 Star Reviews, Dozens of countries, Several consumer surveys.- Deployed and taught Meeting Facilitation training to 100+ local and global participants. Analytics post training showed an increase of participant meeting efficacy equivalent to 13 hours / wk.

- Global motor component owner, Clothes dryers. Responsibilities included complexity reduction, motor technology development, global commonization.- Owner & developer of North American Third Party predictive scoring models and product level target setting for 3 dryer architectures, dozens of projects (Consumer Reports, Reviewed.com, CNet, JD Power, 5 Star)- Correlating Third Party reviewers to each other, market share to help better define 3-5 year attribute roadmaps to win in the marketplace and win in the home.- Global dryer system and subsystem energy target development, cascades, critical parameter management (Europe, Middle East, Asia market focus).- Global third party predictive modeling (Which, StiWa, AltroConsumo, Que Chiosir, CTI).House of Quality and Quality for Design development for clothes dryers globally (VoC to VoE correlation).- Global clothes dryer competitive data insights, marketplace analysis (GFK data analysis).- Owned the development of critical component level characteristics and their respective relationships to product level energy performance.- Lead functional road mapping to increase the efficiency of heater elements used in clothes dryers. - Characterized clothes dryer airflow & system restriction data on to create a model for future system engineering and optimization.- Lead a multitude of testing to meet UL certification for North American heat pump clothes dryer sealed refrigeration systems.