Toby Alexander Rogers

Toby Alexander Rogers

Senior Enterprise Solutions Engineer  ·  BI & AI Architect  ·  Atlassian Specialist
Padua, Italy  ·  Remote / Hybrid  ·  English (Native), Italian (Professional)
Available from 1 August 2026 for senior consulting or permanent positions.
About

30+ years of enterprise technology, currently focused on production AI tooling and BI architecture.

Senior enterprise solutions engineer with an unusually broad combination of disciplines: lead architect of the company-wide Microsoft Power BI estate at InvestCloud, sole administrator of the Atlassian Jira ecosystem across all business units, and active AI practitioner with daily production use of Claude Code and Model Context Protocol (MCP) integrations.

Author of atlassian-mcp, a public Python MCP server demonstrating production-grade AI integration patterns. Documented ~2× capacity uplift on BI and Atlassian delivery through AI-augmented engineering at enterprise scale.

Bilingual English and Italian; based in Padua, Italy; 28 years of professional experience in the Italian market. Currently exiting InvestCloud as part of a collective redundancy, with formal employment ending 31 July 2026.

Featured Work

Selected projects and contributions

atlassian-mcp

Python · FastMCP · httpx · Public open source

A production-grade Python Model Context Protocol (MCP) server exposing curated Atlassian Jira data to AI assistants such as Claude. Read-only by design, with custom JQL primitives, full architecture documentation, and demonstration of senior engineering practice including scope discipline and security boundaries. The repository serves as a verifiable artefact of the agentic patterns delivered in production at InvestCloud.

View on GitHub →

Claude Usage Power BI Report

Microsoft Power BI · DAX · Snowflake · AI Governance

Co-developed governance dashboard providing engineering and AI leadership with visibility into Claude Code adoption, licence consumption, and rollout patterns across the InvestCloud organisation. The report closes the feedback loop on AI investment by surfacing adoption metrics to leadership in real time, directly informing decisions on scale, reliability, and cost optimisation of the wider AI rollout.

11-Page Marketing & Sales Dashboard

Microsoft Power BI · HubSpot · Snowflake · Multi-Source Integration

Enterprise BI deliverable consolidating digital funnel data, social metrics, and HubSpot pipeline information into a single governed Microsoft Power BI semantic model. Documented self-service for the Sales and Marketing leadership team. Demonstrates the multi-source integration and stakeholder enablement patterns characteristic of senior Marketing Performance and Growth reporting across fintech and scale-up environments.

Curriculum Vitae
Full CV available on request Multiple variants tailored to specific role types (BI, AI, Atlassian, Consulting, Executive Leadership). Italian-language variants also available.
Request CV
Contact