Resume

Brett Ryan

Chief Data & Solutions Architect | Real-Time Decisioning

me@brettryan.dev LinkedIn | Stack Overflow | GitHub

EXECUTIVE SUMMARY

Visionary technology leader with over 25 years of experience designing and delivering enterprise scale, real‑time decisioning and recommendation platforms.

Proven record of driving multi‑million‑dollar business outcomes, leading large engineering teams broken down by agile methodologies, and shaping technical strategy across cloud, data, and AI.

Skilled at bridging business and technology, mentoring future leaders, and influencing executive stakeholders. Recognized for innovation, cost savings, ways of working and transformation impact at Telstra and beyond.

CORE COMPETENCIES

• Enterprise Architecture & Cloud Strategy: AWS, Distributed Data Systems.
• Real-Time Systems: Decisioning & Recommendation Engines (1.5 billion daily decisions).
• Performance: Real-Time Feature Engine (35k aggregations per second).
• Data Platforms: AI/ML Enablement, Hadoop, Spark, Kinesis, DynamoDB, Redshift.
• Executive Leadership: Mentorship of teams 30+, formal mentees, community programs.
• Business Outcomes: Cost Reduction, Revenue Growth, Customer Experience Transformation.
• Consulting: Stakeholder Engagement, Telstra/Accenture JV, Enterprise Negotiations.

RECOGNITION & LEADERSHIP

• Telstra Awards of Excellence: Multiple awards for delivering strategic platforms (CAR, NBA, MXO replacement).
• Public Speaking: Speaker & MC at Telstra Cloud Days and Data & AI Academy.
• Mentorship: Active mentor with formal mentees; passionate about growing future technologists.
• Community: Contributor to NetBeans IDE, open‑source projects, and community support on Stack Overflow/Exchange.

CAREER HIGHLIGHTS

• Defined enterprise decision capability and architecture, enabling real-time ML-driven solutions meeting the demands of business needs.
• Designed centralised rules repository, decisioning platform and simulation engine to bring business processes closer to stakeholders through explainable results.
• Partnered with executives and key stakeholders to define business needs and measured outcomes for centralised decisioning capabilities across multiple domains.

• Designed and oversaw the build of a scalable Customer Analytics Record (CAR) based real-time feature engine capable of exceeding 35k feature evaluations/sec.
• Designed and delivered a real-time, event-driven recommendation engine enabling instant customer interaction.
• Achieved $14M forecast retention within pre-paid on top of $1M OPEX savings per year through platform modernisation and consolidation.
• Led several agile cross-functional teams, scaling emerging capacity to meet enterprise demand.

• Built Spark-Scala based recommendation engine processing 1.5B decisions daily across 1000+ campaigns.
• Led several agile engineering teams consisting of software, data and UI engineers along with data scientists to create ML driven decisions.
• Customer facing Next Best Action (NBA) API to drive customer interactions across multiple channels.

• Direction migration of operational systems to UK Greetings, overcoming many major technical challenges.
• Developed enterprise systems (JavaEE, Spring, C#, Progress OpenEdge) supporting 10k+ SKU’s annually.
• Delivered CAD‑based retail space planning and mobile field automation for 500+ merchandisers.