AI Enablement Lead
KATY
GAFFNEY
Building intelligent automation at the intersection of data, AI, and human-centered design. Turning complex operational problems into elegant, scalable solutions.
About
Art school grad turned
automation architect
AI automation specialist with hands-on experience designing, building, and deploying AI-powered workflows in complex, regulated enterprise environments. I combine strong Python and cloud analytics skills with consulting instincts — stakeholder management, systems thinking, and a talent for converting abstraction into clear, actionable roadmaps.
AI & Automation
- Anthropic & OpenAI APIs
- Workflow Automation
- Prompt Engineering
- Semantic Matching
- Data Enrichment
Technical
- Python
- SQL & BigQuery
- Google Cloud Platform
- Git
- Data Modelling
Enablement
- Stakeholder Management
- Roadmapping
- Training & Onboarding
- Agile Delivery
- Impact Measurement
Experience
Where I've built things
Business Analyst, AI Automation
BMG Rights ManagementAug 2025 – Present · Berlin, DE (Remote)
- Built and deployed AI-powered automation workflows for bulk royalty processing, document handling, and data enrichment
- Led solution design for semantic matching product, improving match quality by 52% through parallel processing and AI APIs
- Designed discrepancy reporting frameworks (Python + BigQuery) automating data quality monitoring
- Drove platform-level data migration: legacy database analysis, entity mapping, and migration strategy
- Enabled non-technical teams to operate AI tooling independently through training and hands-on support
Manager, Copyright Data Automation
BMG Rights ManagementApr 2024 – Aug 2025 · Berlin, DE
- Created automated discrepancy reporting supporting high-risk Q4 2024 migration, resolving 5,000+ critical data issues
- Built automated catalogue onboarding tool (Python + BigQuery) for bulk music registration, accelerating income generation
- Established backlog governance, delivery workflows, and CI-aware development practices from scratch
Analytics Intern
BeelinguappJan 2024 – Mar 2024 · Berlin, DE
- Built data pipelines (Google Analytics, BigQuery, Looker) centralising user engagement metrics
- Dashboard insights contributed to approximately 25% increase in user retention
Projects
Solutions I've shipped
Entity Matching Engine
52% quality improvementMulti-signal semantic matching system using n-gram vectorization and cosine similarity. Combines ID-based exact matching with fuzzy name matching to achieve 92%+ accuracy on messy real-world data.
Data Quality Automation
5,000+ issues resolvedAutomated discrepancy reporting framework using Python and BigQuery to monitor data integrity across systems during high-risk migrations.
Catalogue Onboarding Tool
Weeks → hoursBulk data registration pipeline automating music catalogue onboarding, replacing manual processes and directly accelerating revenue generation.
AI Workflow Automation
Full team enablementEnd-to-end AI-powered workflows for document handling, data enrichment, and royalty processing using Anthropic and OpenAI APIs with n8n orchestration.
Algorithmic Bias Research
Award-winning"Efficient Innovation or Diversity Disaster?" — examining bias in AI-powered Applicant Tracking Systems. Winner of Berlin Science Week 2023 essay competition.
Contact
Let's connect
Based in Berlin, available remotely. Always interested in conversations about AI enablement, data automation, and building tools that make people's work lives better.