I turn complex business problems into systems people can actually use.
I'm a Business Systems Analyst, Product Owner, and AI Workflow Specialist with more than 10 years of experience working across insurance, banking, the Canadian federal government, and AI-driven environments.
Most of my work happens where the stakes are high: regulated organizations, complex systems, multiple stakeholders, and little room for ambiguous requirements. These are environments where getting a requirement wrong can affect customers, create regulatory exposure, delay delivery, or cost far more than anyone planned.
My role is to bring clarity before that happens.
I work between business and technology, translating operational problems, policies, data, and stakeholder expectations into requirements that delivery teams can build and business teams can confidently adopt.
Where I've done it
My experience includes roles and projects with Sun Life Financial, RBC, Ecobank Transnational, and the Government of Canada.
I have helped deliver large-scale platform migrations, digital banking improvements, regulatory programmes, analytics products, process automation, and AI evaluation initiatives.
That work has included:
- Supporting the migration of more than 2,500 advisor websites to a new digital platform, including requirements connected to API integrations, content migration, DNS cutover, analytics, testing, and production readiness.
- Helping create an analytics dashboard that gave advisors a clear view of their digital performance and customer activity.
- Documenting a major regulatory programme from beginning to end by working directly with directors, subject-matter experts, operational teams, and technical stakeholders to capture business rules, dependencies, controls, exceptions, and the consequences of non-compliance.
- Contributing to digital banking and process-improvement initiatives designed to increase online adoption, reduce system errors, accelerate transaction processing, and improve service delivery.
- Mapping current and future-state processes for insurance operations, identifying gaps, defining automation opportunities, and turning complex operational decisions into testable business rules.
- Supporting AI training and evaluation work involving prompt engineering, workflow testing, data annotation, quality assurance, visual evaluation, and the review of model outputs against detailed guidelines.
The industries and systems may change, but the underlying challenge is often the same: the organization knows something needs to improve, but the problem has not yet been defined clearly enough to solve.
That is usually where I come in.
How I work
Kanban, mostly, with a Product Owner hat on more often than not.
I care about flow over ceremony. I would rather have a focused conversation with the person who owns the problem than sit through a long meeting with eleven people who cannot make the decision.
I ask direct questions, test assumptions, trace requirements back to the business outcome, and document decisions in a way that people will actually use. I am comfortable working with senior leaders, developers, architects, vendors, compliance teams, operations staff, and end users because each group sees a different part of the problem.
My job is to connect those views without losing the details that matter.
I use process maps, user stories, acceptance criteria, business rules, data analysis, prototypes, and working sessions depending on what the problem requires. I do not force every project into the same template.
Good analysis should reduce uncertainty, expose risk early, and make the next decision easier.
What I bring to a project
I bring structure to work that initially feels unclear.
I can step into a project with scattered documentation, changing requirements, competing stakeholder expectations, or an unfamiliar system and begin separating facts from assumptions. From there, I help the team establish what is changing, why it matters, who is affected, what could go wrong, and how success will be measured.
- Business and systems analysis
- Product ownership and backlog management
- Requirements elicitation and documentation
- Process mapping and workflow redesign
- Current-state and future-state analysis
- Regulatory and compliance requirements
- Data and analytics requirements
- API and systems-integration analysis
- User stories and acceptance criteria
- UAT planning and defect management
- Stakeholder facilitation and decision support
- AI workflow design, prompt evaluation and quality assurance
- Operational improvement and automation discovery
Tools and platforms
I work with tools because they help teams think, decide, build, and verify — not simply because they appear on a technology list.
Delivery and collaboration
- Jira
- Confluence
- Azure DevOps
- Slack
- Microsoft 365
Process and visual analysis
- Miro
- Microsoft Visio
- Lucidchart
Data and analytics
- SQL
- Adobe Analytics
- Power BI
Design and prototyping
- Figma
Enterprise and cloud platforms
- Salesforce
- AWS S3
- AWS Identity and Access Management
Ways of working
- Kanban
- Agile
- Scrum
- Backlog refinement
- User-story mapping
- Root-cause analysis
- Gap analysis
- Swim-lane modelling
- UAT and iterative delivery
Certifications and education
My professional development reflects the way I work: part analyst, part product thinker, and increasingly focused on how AI can improve knowledge work and operational delivery.
- Certified Business Analysis Professional (CBAP), IIBA
- Certificate in Product Ownership Analysis (CPOA)
- Agile Analysis Certification (AAC)
- Certified ScrumMaster and Certified Scrum Product Owner
- Kanban System Design
- ITIL 4 Foundation
- ICAgile Product Ownership
- Google AI Professional Certificate
- Master of Science in Public Administration and Development
- Bachelor's degree in Political Science
A note about confidentiality
Most of my work has been completed under confidentiality and non-disclosure agreements. That means I cannot publish internal documents, client data, proprietary workflows, system screenshots, or sensitive implementation details.
What I can discuss is the nature of the problem, the scale and complexity involved, the approach I used, the people and systems I worked with, and the business impact achieved.
In regulated environments, respecting confidentiality is not a limitation. It is part of doing the work properly.
Let's solve something difficult
I'm interested in complex business and technology problems where clear analysis can change the outcome — whether that means joining a delivery team, leading discovery, improving an existing process, or helping an organization determine what it should build next.
If you are looking for someone who can move comfortably between business needs, technical delivery, operational reality, and emerging AI capabilities, let's talk.