Jamie McClenaghan

First-party claims journey. owns the product for the online first-party claims experience — the eNOL flow where a customer first reports a claim, and how the claim is handled afterwards — including notification-abandonment performance in the flow, the SLAs for all electronic experience on first-party claims, and the product changes and operational reporting behind them. Held the eNOL SLAs at their highest level while eligibility for the electronic journey rose from 50% to 80% of first-party claims, and cut the claims validation backlog from weeks to a day by adding clear claim status to the handler platform.

Proactive customer communication. led initiatives to improve the customer experience and reduce complaints that did not exist before — showing the renewal price earlier in an email, and creating and owning the initiative for a live status feed in the app so customers can follow the journey of a claim.

Typed event registry. user events were poorly defined, definitions were only visible after release, and platforms had diverged across the same event names. Designed and built a company-wide analytics event registry from scratch in ~10 weeks, moving over 1,000 untyped events into it — static extractors recovering event schemas from TypeScript, Swift, and Kotlin application code, a browsable registry site, three published typed client libraries (Swift, Kotlin, TypeScript/npm), and a registry-compiled dbt package — with self-maintaining drift automation reconciling contracts against both source code and live traffic. Adopted and maintained by the iOS and Android teams, and consumed by 10 repositories across 3 businesses.

Agentic analytics platform. analysts were already using Claude with no central place to share or review work. Built the analytics workspace and knowledge layer the whole data team runs on, on the principle that models and teams work best reading from the same version-controlled files — one-command bootstrap to a working Snowflake/Looker MCP setup for humans and agents, a documentation and visualisation site deployed via Terraform behind CloudFront, and a family of production claims dashboards with a shared read-only SQL guard. All analytics work is now committed through review as the source of truth, with 20+ contributors since launch spanning leads, PMs, ops and analysts.

Identity administration. administered JumpCloud as Automata's identity platform (users, groups, SSO, and application access).

ERP administration. as the company scaled, Unleashed (Automata's ERP) became a key bottleneck in system integrations with no owner. Took on ownership, configured the on-time-in-full workflows and dashboards the operations team ran on, and connected it into the data warehouse. Late or failed parts stopped customer runs; shipping was a live problem throughout, particularly while standing up US environments during the expansion.

Service management. helped lead the introduction of a triage process, onboarding Jira Service Management with operations. It replaced the spreadsheet customer success had been running on and became the main tool for customers and field service engineers. The escalation workflows behind it caught, classified, and escalated the typical failures, built off root-cause work with engineering.

Business systems integration. connected almost every business tool into Snowflake via Zapier — recreating financial ledgers and reconciliations from Xero, and landing PRDs and BOMs, deliveries, lab-machine scheduling performance, and lab telemetry — and built the product analytics stack on that foundation.

Commercial & P&L analytics. owned analytics for a major annual advertising revenue stream, analysing P&L metrics and engagement across a 100M MAU base to inform global monetisation strategy.

Ad performance experimentation. drove a +10% CTR uplift in key international markets through large-scale A/B testing of ad performance.

KPI strategy & governance. established and monitored KPIs for advertising products with Sales, Finance, and Engineering, ensuring data integrity across 1st- and 3rd-party sources.

External data products. launched Tableau dashboards and data products for external partners, giving them the performance insight to optimise their advertising on the platform.

Ran market and pricing. Ran market and pricing analysis for the advertising team — including emerging-market opportunities and revenue-cannibalisation experiments — to inform commercial strategy.

Delivered dashboards providing critical. Delivered dashboards providing critical business visibility and ensuring data accuracy for data-driven pricing decisions.

Provided commercial analysis to. Provided commercial analysis to identify growth opportunities and developed a Python automation tool that streamlined sales workflows, materially improving data handling efficiency and accuracy.