What I Do

22 years spanning the full analytics transformation lifecycle — from architecture design through governance, team building, and adoption at enterprise scale.

My work sits at the intersection of architecture, strategy, and organizational change. I focus on designing platforms that are built to evolve — not just to satisfy today's requirements. The distinction I maintain in every engagement is outcomes over outputs, and systems over tools. A dashboard is not a result. A decision platform that the organization trusts and uses.

Strategy & Architecture

I work at the system level — defining platform direction, governance frameworks, and data architecture that scales. Every design decision is made with the next three-year picture in mind, not just the sprint.

Platform Selection Data Modeling Governance Framework Maturity Assessment
Delivery & Implementation

End-to-end delivery across the Salesforce analytics stack. 100+ implementations across industries. Every project architecture-first — building what lasts, not what ships fastest.

CRM Analytics Data Cloud Tableau Next End-to-End Delivery
Leadership & Enablement

Building analytics practices, mentoring teams, and driving adoption across organisations. From director-level practice leadership to hands-on technical mentorship — I build people and platforms together.

Practice Building Team Mentoring Adoption Strategy Executive Communication
Areas of Expertise

Technical & Strategic Depth

Six interconnected capability areas built across 22 years and 100+ enterprise engagements.

Enterprise Analytics Architecture

Designing scalable data models, semantic layers, and platform ecosystems built to grow with the organization.

CRM Analytics & more

Deep platform expertise across CRM Analytics, Einstein Discovery, Data 360, Tableau and Tableau Next.

Data Governance & KPI Alignment

Establishing metric consistency and data trust frameworks that transform analytics into a reliable organizational asset.

Analytics Transformation

Leading organizations from fragmented reporting to mature decision platforms: Assessment → Roadmap → Architecture → Adoption.

Practice & Team Building

Building high-performance analytics organizations and practices. Proven record growing a practice from inception to a $2M+ pipeline.

Agentic Analytics

Exploring the frontier where Agentforce meets Tableau Next — the emerging decision-intelligence layer transforming BI workflows.

Platform Depth

Technology Stack

Analytics
CRM Analytics Tableau Tableau Next Einstein Discovery Birst BI Cognos BI Power BI BIRT SSRS
Salesforce
Data Cloud Agentforce Sales Cloud Service Cloud Experience Cloud Revenue Cloud
Data & Integration
Snowflake Oracle IBM DB2 MS SQL Server Informatica Cloud Talend Pentaho
Architecture
Data Modeling Semantic Layer Design DataOps Governance Frameworks Lucid Figma ERWin Visio
Programming
SQL SAQL PL/SQL Java C# JSON XML ASP.NET
Principles

How I Think About Analytics

Three principles that guide every engagement, every architecture decision, every conversation with a client.

01
Architecture First

Design for scale from day one. The choices made in the first sprint determine what is possible three years later. Tool-level thinking produces tool-level results. System-level thinking produces platforms that outlast the team that built them.

02
Outcomes Over Outputs

A dashboard is not a result. Adoption, decision quality, and measurable business impact are the only measures that matter. I build for use, not for delivery. An analytics platform no one trusts is an expensive liability — not an asset.

03
Governance Enables Agility

Properly designed governance does not slow teams down — it gives them the confidence to move faster. When people trust the data, they make decisions without hesitation. That trust is built through governance, not despite it.

Want to explore how this applies to your challenge?

Whether you are evaluating a platform decision, designing an analytics architecture, or building a team — I am happy to exchange perspectives.

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