Xing F.

About

Natural language > SAP implementations AI stack: Claude code, Codex, Nemoclaw Non-AI stack: Proprietary SAP MCP toolset, SAP Payroll toolset SAP Employee Central Payroll · US Payroll Law · Union Payroll · Union Fringe Calculations · Prevailing Wage · Certified Payroll S4HANA · BigQuery GCP · AWS · Azure dbt · Looker · Power BI · Tableau

Experience

• Head of AI at REACHNETT CONSULTING, INC.
  Aug 2023 - Present · 3 yrs 3 mos

  Business Analysis, Artificial Intelligence (AI) and +1 skill

• Restore Hyper Wellness (5 yrs 4 mos)
  • Data Architect
    Jun 2020 - Aug 2023 · 3 yrs 3 mos

    Made data strategy decisions. Build stuff - Deeply understand the business from ops, marketing, and finance lenses. - Fix/build solutions under time + resource constraints - Personally mentor key business team members in simple data and AI tools - Architect core data infrastructure - Rcruited data offshore team - Built out data fundamentals on dbt and data mesh design principles designed for easily extensibility by business analysts. This foundation is used across the org from product/analytics, to operations and finance teams - Curate the building blocks. Empower business teams with the tools to build the future for themselves

  • Marketing Data Consultant
    May 2018 - Jun 2020 · 2 yrs 2 mos

    - Developed first iteration of marketing reporting using Mindbody's SOAP API - Convinced the business to migrate to a data mart and - Negotiated with vendor on Restore's behalf for data mart - Setup AWS and GCP BigQuery for the org to leverage the upgraded data access - Built a modern data stack, implemented affordable, no-code solutions where applicable - Designed, implemented, and trained team on v1 of digital marketing ROI reporting, aggregating data from disparate ad platforms, landing pages, and gsheets

• Aurora Health (sold to Schoen Clinic Group / MindDoc) (2 yrs 8 mos)
  • Data Architect
    Jan 2017 - Aug 2019 · 2 yrs 8 mos

    Build business intelligence + analytics team and infrastructure • Implement BigQuery, marketing campaign attribution, event analytics, and AB testing tools on a constrained startup budget • Design/Build/Schedule data flows using Airflow • Personally recruit and train team on the modern data stack • Implement statistical approach to A/B testing product improvements and promotion campaigns • Redesign and implement research authentication and data sharing processes for internal and external researcher use

  • Product Manager
    Jan 2017 - Aug 2019 · 2 yrs 8 mos

  • Berlin, Germany
    Know our users, prioritize features, improve PM processes for our mood and health tracking app, Moodpath, at our 10 person startup • Work with management, tech, psychotherapist and designer teams to prioritize features on major releases • Improved previous manual feedback to understand the pulse and needs of our users • Implement (Basecamp-based) development cycle giving tech team focus on features • Expedited release of premium English version of app, crucial for getting representative data samples for future decisions

• Hacker in Residence at Applift
  Jun 2016 - Jan 2018 · 1 yr 8 mos

  AppLift is a ad-network brokering impressions, clicks, and installs - Live and breathe the business, level up and automate manual processes - Learned Python in order to built processes to better support the business - Prototyped AI based pricing optimization engine and presented to the global org summit - Adapt modern data stack designed principles and data team org strategies - Deeply understand digital marketing, ad-tech, attribution, and customer data privacy strategy

• Solutions Consultant at Kimberly-Clark
  Feb 2015 - Jun 2016 · 1 yr 5 mos

  Manage, implementation, and coordinate rollout of proprietary timekeeping + payroll software to 500+ employees in multiple factories across China