Che Horder

CTO

San Francisco, California, United States27 yrs 11 mos experience
Highly Stable

Key Highlights

  • Built high-performing data teams across multiple companies.
  • Transformed company cultures to be data-driven.
  • Developed innovative data solutions for marketing and sales.
Stackforce AI infers this person is a Data Science and Engineering leader with extensive experience in SaaS and marketing analytics.

Contact

Skills

Core Skills

Data ScienceData EngineeringData AnalysisMarketing AnalyticsReportingTeam BuildingInfrastructure DesignExperimentationPredictive ModelingData VisualizationData StrategyBusiness Intelligence

Other Skills

Data-Driven CultureExperimentation PlatformMarketing ROISales OpportunitiesData Team BuildingData InfrastructureExperimentation CultureAnomaly DetectionGeographic Expansion StrategyCustomer AcquisitionCampaign OptimizationData Pipeline DevelopmentETL EngineeringAnalyticsLeadership

About

I am passionate about making an impact with data. I am a data science and engineering leader who builds high performing teams that share my passion for impact with data.

Experience

27 yrs 11 mos
Total Experience
3 yrs 9 mos
Average Tenure
1 yr 4 mos
Current Experience

Smithrx

Head of Data

Jan 2025Present · 1 yr 4 mos · San Francisco, California, United States

Meta

Director Data Science

Apr 2020Jan 2024 · 3 yrs 9 mos

  • Leveraging data to build AR (augmented reality) products and the next computing platform. Excited to be a part of such a bold and ambitious product team.

Invision

VP, Data

Jun 2018Apr 2020 · 1 yr 10 mos · San Francisco Bay Area

  • InVision is the digital product design platform powering the world’s best user experiences (Netflix, Airbnb, Lyft, etc), and I am working to make it even better leveraging data.
  • At Invision I built a high caliber data team and transformed our company culture to be data driven in a fully distributed/remote workforce. The data team was 25 data scientists, data engineers and BI engineers. We delivered insights and impact across our company with our product, sales, marketing and finance partners.
  • Examples of some of the transformational work accomplished include creating an experimentation platform and culture within product and engineering, developing tracking, insights and models that describe marketing ROI, delivering reporting and models that help identify sales opportunities.
Data ScienceData EngineeringTeam BuildingData-Driven CultureExperimentation PlatformMarketing ROI+2

Instacart

Director of Data

Jan 2015Jan 2018 · 3 yrs · San Francisco Bay Area

  • Instacart is the world's leader in online grocery and transforming the grocery industry. I built the data function from the ground up during a time of hyper growth.
  • I was fortunate to hire and retain an amazing team and together we achieved great impact for Instacart. Some of our accomplishments include:
  • Building a world class data team of 30 happy and productive data scientists, data engineers and BI engineers (very quickly) that had clear positive impact on decision making throughout the company
  • Establishing and enabling an extremely data driven culture that extended to all departments (product, marketing, operations, business development)
  • Architecting and building all data infrastructure components that scaled with the business through hyper growth
  • Developing an experimentation culture (in product, operations and marketing) and building an in house experimentation platform for our product
  • Developing an anomaly detection tool to monitor product performance and catch (and resolve) costly mistakes quickly
  • Some outcomes the team drove included developing a strategy for growth through intelligent geographic expansion, driving an understanding of marketplace balance (supply and demand) needed for growth, and driving a growth strategy through a performant subscription business that drove retention and engagement.
  • We accomplished the above using a combination of Python, R, SQL, Redshift, S3, Snowflake, Amplitude, Segment and Tableau
Data Team BuildingData InfrastructureData-Driven CultureExperimentation CultureAnomaly DetectionGeographic Expansion Strategy+2

Netflix

Director, Marketing Analytics

Jan 2013Jan 2015 · 2 yrs · San Francisco Bay Area

  • Leading a team within Data Sciences & Engineering focused on capturing data and delivering insight to Marketing. We are focused on customer acquisition, campaign planning and campaign optimization. The technologies my team works with include Hadoop, Python, Pig, Hive, Tableau, MicroStrategy, and Teradata. We are always looking to exploit newly available technologies and techniques to provide our Marketing partners greater insight. Some of our work product and projects include:
  • cross channel digital marketing/advertising campaign performance dashboards (channels = reserved buys, RTB, private marketplace, social, search)
  • comprehensive, scientific predictive customer LTV model
  • digital + offline advertising data model for media mix modeling
  • digital marketing attribution (click-based, view-based and beyond)
  • provide insight into marketing campaign strategies mostly focused on targeting (inputs included time of day, day of week, demographics, TV programs, geographic, devices)
  • detailed international geographic consumer behavior pattern dashboards
  • SOX compliant membership data pipeline and reporting
Marketing AnalyticsCustomer AcquisitionCampaign OptimizationPredictive ModelingData Pipeline DevelopmentData Science

Clickbank

Director of Data

Jan 2008Jan 2013 · 5 yrs · Broomfield, CO

  • built data strategy for the enterprise from the ground up
  • built team of high performing business intelligence and ETL engineers
  • transformed company culture into data driven
  • responsible for all things data for the company from aligning data with business strategy to providing key insights to delivering data exploration mobile dashboards to the collection and modeling of source data
  • technologies used include MySQL, Talend, Java, Oracle RAC, Cassandra, Microstrategy
Data StrategyBusiness IntelligenceETL EngineeringData-Driven Culture

Level 3 communications

Sr Manager, Engineering

Jan 1999Jan 2008 · 9 yrs · Broomfield, CO

  • software engineer with growing responsibilities over time in management, focusing on telecom revenue and expense systems and system consolidations during acquisition.

Price waterhouse management consultants

Consultant

Jan 1997Jan 1999 · 2 yrs · Denver, CO

  • ecommerce technology consultant implementing custom ecommerce applications for several large tech companies

Education

University of Colorado Boulder

Bachelor of Science (BS)

Jan 1993Jan 1997

TDWI

training in dimensional data modeling

Jan 2009Jan 2009

University of Colorado Denver

Project Management Practitioner Certification

Jan 2006Jan 2006

University of Colorado Boulder - Leeds School of Business

BS — Information Systems

Jan 1993Jan 1997

Clovis High School

Jan 1989Jan 1993

Stackforce found 100+ more professionals with Data Science & Data Engineering

Explore similar profiles based on matching skills and experience