Semantic Layer Strategy & Adoption
Give dashboards, spreadsheets, and AI the same understanding of your business.
A semantic layer is not just a modeling project. Executives, domain owners, and data teams must agree on what critical metrics mean, where the logic belongs, who owns it, and how it changes.
I lead that work and help your technical team or implementation partner carry it through.
My role
What I lead
- Identify the business decisions and use cases that justify the investment
- Select the initial domain and priority metrics
- Align executives and domain owners on definitions
- Establish metric ownership and change governance
- Clarify authoritative sources and required business context
- Shape the pilot, implementation sequence, and acceptance criteria
- Coordinate business stakeholders, data teams, and implementation partners
- Lead adoption across reporting, self-service analytics, and AI workflows
Division of work
How execution works
Your team or implementation partners carry the specialized build. I work alongside them — leading priorities, decisions, and alignment.
Business leaders & domain owners
Bring:
- Define the decisions that must improve
- Resolve business meaning and policy
- Assign accountable owners
Brian
Leads:
- Lead alignment, priorities, governance, and sequencing
- Translate executive intent into an executable data agenda
- Keep business and technical teams working from the same plan
Data team & implementation partners
Execute:
- Build models, pipelines, integrations, and technical controls
- Test and deploy the semantic implementation
- Support production usage