• Built a team of 8 technical analytics managers and individual contributors with a focus on solving strategic and tactical inventory replenishment and supply planning challenges through analytics.• Designed a comprehensive business intelligence roadmap including OKRs to establish data pipeline, data warehousing, and BI tool consolidation in Google SQL enabling 50% increase in development.• Enhanced consignment business forecasting via predictive and prescriptive analytics including linear regression and scenario-based modeling, enabling direct CAPEX savings of $60M over two years.• Orchestrated enhancements to supply planning coverage model, data pipeline, and related dashboards, directly increasing 3PL inventory availability by ~20% and turns by ~50% within 12 months.• Aligned inventory status and throughput metrics to consistent internal and external definitions; led multiple business, engineering, and product teams to delivery, enabling ~30% ticket reduction.• Facilitated unpurchasable inventory performance management by adjusting metric weights to a supplier level wholesale cost (WSC) basis, allowing business users to proactively identify root causes of specific issues affecting $30M WSC and to coordinate resolution with internal teams and suppliers.

• Managed a team of 6 reports responsible for driving strategic improvements to Wayfair’s consignment business across logistics and fulfillment through analytics and strategic program management.• Led initiative to reduce excess inventory by $70M within 6 months by redefining KPIs, building BI dashboards, developing price sensitivity and marketing analytics models, and spearheading technology changes.• Created a peak seasonality inbound trailer forecast model in Python that optimized speed and reliability of delivery outcomes for 98+% of customers, enabling supplier S&OP processes.• Conducted root cause analysis to identify sources of inaccurate inventory data and established a process to correct bad data exceeding $5M per year in partnership with engineering leadership.• Implemented dispute tracking system to prioritize outstanding ticket queue and manage capacity and service levels, increasing throughput by ~20% without adding headcount to support resources.• Identified largest drivers of late deliveries in drop ship fulfillment and established a process to adjust transit time pads, enabling ~10% improvement in small parcel on time delivery rate.• Reduced cycle count processing by 120 days by aligning multiple stakeholders to updated policy and process, eliminating variances by $1.8M and directly addressing the largest issue from NPS surveys.• Determined drivers of carton count discrepancies in fulfillment ($10M annual impact), leading to 10% reduction by improving processes and justifying investments into a machine learning classification.

• Built logistic regression analysis and A/B test to assess the feasibility of expanding carrier base for small parcel deliveries; project led to a pilot initiative with small regional carriers servicing ~5% of customer demand.

• Supervised 8 team members in a variety of areas including process improvement, quality management, defect resolution, training, data governance, and operations analytics.• Managed multiple workstreams to enable on time $25M+ enterprise software implementation for 300 users, including data mapping and migration, process design, risk management, change management, user acceptance testing, and user training,• Designed over 40 control reports and business intelligence dashboards in IBM Cognos 8 across multiple areas, providing management easy access to key performance data and metrics.• Developed inspector performance reporting, leveraging statistical analysis and six sigma principles to identify inspection bias risk and enable data-driven performance management of enforcement division inspections.• Evaluated system design, usage statistics, journey defects, and direct customer feedback to incorporate process changes that doubled the online license application rate from 10% to 20% for 80,000 businesses.• Implemented training program for over 200 staff members on end user functionality of a new online SaaS platform used to track licensing, inspection, adjudication, and revenue data.• Reduced non-conformance with data entry standards for tobacco related inspection entries in enforcement division by 90% (30 defects per month to 3 defects per month) through SOP and guardrails implementation on data entry.

• Led implementation of license expiration date change affecting 20,000 licensees (25% of license intake) by assessing operations impacts and implementing the rollout plan to manage changes to seasonal intake patterns.• Reduced average service waiting time KPI from 17 minutes to 4 minutes (76%) by implementing change in hourly staffing model and adjusting absentee standard operating procedures.

• Developed framework for inspection frequency schedule by business category that optimized for multiple factors including impacts to consumers and businesses to inform policy changes.

● Enforced consumer protection law, leading the agency in inspection volume and quality out of 50+ inspectors.• Trained new staff on enforcement procedures and best practices