Joe Kambeitz Email & Phone Number

Ca, Us

El Segundo, California, Us

Skin Laundry a start-up in the beauty-tech space with clinics using energy devices to drive life changing skincare.Led IT support team with small in-house and implementation of new 3rd party field support organization. Team is focused on core corporate and clinic infrastructure during a stage of hyper growth. We managed to control costs while dramatically increasing scale of physical support.Drove Marketing Strategy, Marketing Analytics and MarTech capabilities to drive a highly profitable CAC/LTV during hyper growth. Key accomplishments include:* Changing conversion event sent to ad plaforms to be higher up marketing funnel.* Improved signal quality by implementing Conversions API* Drove robust CRM based audience targeting by implementing Tealium CDP and reverse ETL* Product manager for new booking site sitting 3rd party booking system* Drove ad spend diversification to key podcast platform

Led team of 75+ data scientists in Core Ads (Monetization) inclusive of Advertiser Products and Incubation + Verticals driving $100B/yr in annual revenue.Scope included Ads Targeting, Auction Dynamics, Creative and Guidance, Ads Platform, App Advertising and new Verticals.Led cross-company, cross-functional roll out of internal performance metrics and framework used to consistently value impact from projects delivered and for estimating future opportunities used for budgeting and headcount planning.Mentored team delivering next generation app strategy with opportunities north of $10B/yr.Unfortunately my time was cut short due to family needs.

El Segundo, California, Us

Skin Laundry a start-up in the beauty-tech space with clinics using energy devices to drive life changing skincare.In this role I led two small, highly capable Digital Marketing and Data Analytics teams.Key accomplishments for Digital Marketing* Drove marketing spend to a highly efficient 4:1 ratio for LTV/CAC during the Covid lockdowns and as counties removed restrictions* Key factors for creating this efficiency include * Optimizing platforms' (Meta, Google) conversion signals adding reverse ETL for offline conversions * Optimizing key conversion objective in the marketing funnel balancing signal strength vs. true business outcome desired * Building creative strategy based on performance insights * Built deep expertise on platform capability, efficacy and auction dynamicsKey accomplishments for Data Analytics* Created comprehensive reporting for business performance and key drivers of core metrics* Built LTV reporting to analyze performance by membership type, month joined and clinic first joined leading to increase confidence in business model

San Francisco, Ca, Us

Led a team of BI product managers, analysts and data scientists to support enterprise data, analytical and advanced analytics needs. Reporting to CFO/COO Key Accomplishments: * Defined value creation of new product launches through causal inference * Optimized marketing spend through lift studies and causal inference analysis * Introduced self-service BI through full usage of existing systems * Increased speed to insights and democratized analytics through OLAP cubes * Created product hierarchy to give full and complete view to business performance * Led team in defining and sharing vision, mission, values and governance processes

Midvale, Ut, Us

Led a team of analysts and data scientists to drive marketing efficiencies, audience analytics and deep insights. Leading a team of product managers as we build out our new best in class Martech platform.Key Accomplishments:• Transitioned marketing reporting from last click attribution to in house value add MTA• LTV models and predictive models used in marketing bidding• Advanced lift studies (Geo, RCT, etc) for obtaining iROAS for AdWords, FB, Pinterest and linear TV• Built in-house bidding engine for PPC channels, inclusive of algorithms and analytics• Implemented martech stack for in house RTB driving out $20M/yr. in wasted marketing spend• Built out ad spend touchpoints for omni chancel customer journey optimization• Created fraud task force that built ML models driving a 50% reduction in total fraud costs

Midvale, Ut, Us

Led a team of analysts and data scientists to deliver actionable insights and algorithms to support Marketing, Web, Customer, Merchandising, Supply Chain and Pricing domains as well as Company Planning function.Key Accomplishments: * Identified over $10M/yr in small parcel efficiencies shifting to preferred carriers and modes * Led teams in customer analytics to build out discount sensitivity models and offer optimization models* Reorganized marketing analytics and planning teams to yield quality streamlined analytics * Introduced OLAP cubes to speed actionable insights and consistency of analysis* Built out company planning function to accurate forecast top line, marketing spends and margin* Upgraded talent by raising bar on new talent, improving quality of training and adding analytic tooling* Improved actionable insight through new process and collaboration * Dramatically improved quality and speed of A/B test result measurement * Rolled out optimal price point algorithms to maximize contribution margin dollars for key categories

San Francisco, California, Us

Led a multi-functional global team of ~100 data scientists, advanced analysts and engineers in San Francisco and Mumbai responsible for delivering enterprise wide advanced analytics across merchandising & inventory management, customer analytics and supply & fulfillment. Customer advanced analytics team built models for product affinities, loyalty, contact response, LTV, LTR, discount sensitivity, etc. Scale of billions of events for millions of customers Supply and fulfillment analytics team built supply chain models for network optimization, flow path optimization, discrete event simulation, BCP, tax & duty, etc. Merchandising advanced analytics team built novel advanced algorithms and models to predict seasonal demand patterns, price elasticity, new item forecasts, size selling patterns and store & customer clustering BI & data engineering team processed data into usable data entities for data scientists Analytics engineering team built out production quality, scalable, maintainable models Program management ensured teams were moving from research to production across functional groups and global geographies while providing visibility to key stakeholders

San Francisco, California, Us

Led a team of ~75 employees in San Francisco and Mumbai responsible for enterprise wide product management and analytics focusing on merchandising systems and its analytics, advanced analytics for customer and supply chain domains. Led product management team that developed end-to-end decision support system for omni-channel retailing spanning assorting, buying, size/packing, reorder, promotion, pricing & allocation. IT capital investment of +$75M. Responsible for change management, training and support teams Customer analytics team created predictive models for customer response to email/direct mail, attrition & loyalty models, and personalization through product recommendation engines Supply chain analytics team optimized inventory across fulfillment locations, advanced carrier rate simulations, algorithm to fulfillment source logic, and modeling of future supply chain network Led a core BI & data engineering team that built OLAP cubes and data entities used for analytics

San Francisco, California, Us

Led a large team of ~50 employees in San Francisco and Mumbai responsible for operationalizing analytics across three domain areas of inventory, customer and supply & fulfillment. In the inventory domain core effort includes process definition & change management, product management, application development, reporting, advanced inventory analytics and optimization.In the customer domain work includes creating predictive models for customer response to direct mail, attrition & loyalty models, personalization through product recommendation engines and more.In the supply & fulfillment analytics determine the optimal splitting of inventory across fulfillment locations, advanced carrier rate simulations, algorithm approach used in fulfillment from store logic, and future state omni-channel fulfillment network analysisA core data engineering team works to gather raw data into our Hadoop cluster, combine, cleanse, and transform with output being data sets used for downstream predictive models and analytics or by use in OLAP cubes. Key accomplishments: • Designed, built and implemented markdown price optimization system showing +$20M/yr in revenue • Designed, built and implemented custom end-to-end decision support system used in the merchandising, planning, pricing & allocation process for +$1.5B/yr in revenue • Leading transformation of business intelligence strategy through introduction of OLAP cube technology allowing users to self-serve their BI needs • Pioneered launch of big data Hadoop cluster unlocking powerful and scalable insights to drive personalization and more • Set up an analytics office in Mumbai by finding key vendor partner, core analytics talent, internal business proposal and finally the office location itself. This journey of contractor to employee conversion of a core contractor base in Mumbai, India t has allowed us to find, attract and retain key talent

San Francisco, California, Us

Led a team of seven responsible for allocating +$250M/yr of retail sales. Responsible for managing store inventory levels for over 100 locations through strategic breadth and depth of assortment. Key Accomplishments:* Led a team that is worked cross brand to design allocation tools and processes that will improved allocation efficiency and gross margins* Developed key metrics for use in company allocation score-card* Documented and shared cross-brand best practices for inventory management

San Francisco, California, Us

Managed the development and implementation of inventory allocation processes and tools including first of a kind Fashion allocation and replenishment proof of concept. Responsible for IT system specifications and enhancements managing Basic’s inventory. Acting program manager of in-house DC replenishment system. Key Accomplishments:* Researched, developed and implemented optimal Basic’s inventory levels adding over $7 million dollars in economic profit per year - still in use as of 2013* Led team that researched shelf out of stock root causes, developing key insights for brand operating strategies

San Francisco, California, Us

Managed the implementation and embedding of Retek’s demand forecasting system for +15 users. Developed cross brand team to share best practices for use in training +100 users. Key Accomplishments: * Designed and developed in-house DC replenishment system responsible for managing $1.6 billion in annual sales. * Pioneering research on developing optimal Fashion initial allocation quantities used to reduce post initial allocation out of stocks * Developed Retek training materials, system enhancements and best practices across Gap Inc.

Scottsdale, Az, Us

Responsible for maximizing profitability of +$50 million in inventory for 10 DC’s through system configuration, supply chain and process improvements. Liaison between purchasing centers and corporate IT staff for system requirements and needs. Key Accomplishments: * Reduction of +$500k/yr in labor costs through in depth analysis, modeling and implementation of new processes for purchasing * In first six months in role identified and eliminated over $500,000 in supply chain waste * Defined, led and created strategy for central re-distribution warehouses partnering with 3rd party vendor that served over +$20M/yr in sales

Scottsdale, Az, Us

Served as manager and trainer of JDA's AWR by E3 distribution center replenishment system supporting 60 buyers across 10 DCs. Developed and trained buyers on system usage and best practices. Led meetings with key branch representatives to share forecasting insights tackling key trends, issues and opportunities. Diagnosed buyer specific forecasting issues and coached buyers on action steps to resolve those issuesKey Accomplishments:* Developed purchasing performance KPI scorecard with exceptions highlighted * Created effective strategies to properly forecast seasonal, new and dying items reducing mark down inventory* Effectively increased in stock levels by 100 basis points through in depth training and maintenance, and system management * Conducted in depth review of newly acquired company's demand forecasting system's parameters to successfully transition +$400M/yr sales.

Bellevue, Washington, Us

Program manager for pharmacy supply chain responsible for back-end systems along with Manhattan’s replenishment system for enterprise wide purchase and inventory management. Presented financial analysis of fulfillment goals to senior management as part of in stock rate optimization strategy. Liaison between IT, Finance, Purchasing and operations for end-to-end business needs.Key Accomplishments: * Successful selection and implementation of enterprise replenishment system. * In depth sourcing analysis increased margins by 10%. * Designed Rx inventory management systems for integration with replenishment system.

Commerce, California, Us

* Business Analyst & Project manager implementing JDA's AWR (E3) demand forecasting and replenishment system* Instituted refined forecasting and demand management procedures that reduce mark down inventory by $1 million/yr.* Resolved catastrophic forecasting issues that increased in stock levels by 45PPT allowing our company to retain +$250M/yr* Streamlined processes that produced incremental sales of +$30M/yr* Lead analyst role in restructuring team that presented company wide restructuring plan to the Board of Directors.* Consolidated company's bi-divisional marketing plan for +$800M/yr* Responsible for sales of +$150M/yr to 1,500 customers in two divisions* Created strategies and goals that increased department sales 50% higher vs. core business growth* Supervised buyers in charge of sales +$200M/yr

Boise, Idaho, Us