Hi, I'm Audra.
Enterprise Data Architect & AI Leader
With over 20 years of experience designing and governing mission-critical data platforms, I've cultivated a deep understanding of how to build resilient architectures in secure, highly regulated environments.
My expertise lies in bridging the gap between complex technical execution and high-level business strategy. I've established successful partnerships across global financial institutions and national infrastructure organisations, specialising in large-scale data integration, metadata governance, and the shift to Agentic AI.
In my role as a trusted advisor, I handle all aspects of enterprise data strategy—from defining technical standards to driving technology modernisation and executive change leadership. Building alignment between board members, business stakeholders, and engineering teams is at the core of what I do, and I take pride in translating visionary goals into secure, scalable realities.
Looking forward to connecting and exploring potential collaborations together!
Academic Qualifications
- Executive Leadership Programme University of Oxford
- MSc. Applied Statistics with Business Statistics Sheffield Hallam University
- Advanced Business Analytics University of Colorado Boulder
- Data Science (9-Course Specialisation) Johns Hopkins University
- PG Certificate in Project Management PRINCE2 Accredited
Professional Certifications
- TOGAF Certified
- ArchiMate 3.0 Practitioner
- AWS Certified Solutions Architect
- AWS Certified Cloud Practitioner
- Reliable Google Cloud Infrastructure
- Generative AI with Large Language Models
- MCSE: Data Management and Analytics
- MCSE: Data Platform
- Data Engineering on Microsoft Azure (DP-203)
- Designing & Implementing Azure AI (AI-102)
- Generative Apps using Amazon Bedrock
- Develop GenAI Apps with Gemini & Streamlit
- Certified Information Security Manager (CISM)
- Python Data Structures
- Databases and SQL for Data Science