Janey Cabuco

About Janey Cabuco

BUSINESS PROFILEAnalytics experience in various industry sectors (retail, banking, telecommunications, travel and leisure) implementing complex data integration projects and business analytics solutions. I feel my attention to detail, curiosity and strong partner relationships has helped drive business results. I believe my self-starter can-do attitude and strong follow through are key to my solid contributions to many top organizations. Business Lead |Test Lead| Business Process Improvement | Data GovernanceStrategic Marketing | CRM | Direct Marketing | Marketing AutomationData Visualization| Data Transformation and Cleansing | Data Mining | Forecasting | Model Validation TECHNICAL SKILLSLANGUAGES: SQL, SAS Base, R, PythonMACHINE LEARNING PLATFORMS: Sage Maker, Data BricksCLOUD PLATFORMS: AWSRELATIONAL DATABASE EXPERTISE: DB/2 Oracle, Sybase, MS SQL Server, Tera Data, SnowflakeDATA VISUALIZATION: Tableau, Power BI, IBM Watson, SAS Web Report Studio, CognosDATA TRANSFORMATION & CLEANSING: IBM Ascential Quality StageMARKETING CAMPAIGN AUTOMATION: SAS Campaign Marketing Automation and Unica AffiniumGIS MAPPING SOFTWARE: Map info Anysite, ARC GIS Power BIPROJECT MANAGEMENT: Jira

Experience

1. Ai Ethics and Compliance Principal (Stretch)

   Nike

   Oct 2025 — Present · Beaverton, OR, US

   Researched and Evaluated AI Governance Inventory System: Assessed leading AI platform vendors ( Informatica, Credo) including in-house Nike developed tools and provided a recommendation to leadership that was approved.Defined Business Requirements for implementing an AI Governance Platform:Provide the technical and functional specifications for cataloguing all AI Assets( data sources, systems, models, agents and software). Outline the functional specifications for an AI Risk management and compliance workflow and oversight and measurement capabilities to ensure Nike is building trustworthy AI. Perform an AI Risk Gap Assessment: Review existing AI Risk policies by examining current legal, data governance, privacy, and security policies to review current mitigation efforts in key AI Risk categories, identify potential gaps in risk management and propose recommendations for AI-specific risk concerns i.e. bias, transparency, and accountability, privacy, security.

Education

• University of Washington

  Master of Science - MS, Business Analytics

  2017 — 2018

• British Columbia Institute of Technology

  Certified Management Accounting (Fast Track)

  2006 — 2007

• University of New Brunswick

  BBA, Finance,Economics,E-Commerce

  1996 — 2001

Skills

• Data Analysis
• Segmentation
• Marketing Strategy
• Teradata
• Data Integration
• Strategy
• Databases
• Relationship Management
• Direct Marketing
• Requirements Analysis
• Canadian Securities Course
• Analysis
• Sdlc
• Etl
• Project Management
• Database Marketing
• Management
• Business Analysis
• Sas
• Business Intelligence
• Banking
• Crm
• Analytics