Head of Data & Automation

Reports to:

Callum Wilson, FD |

Location:

Manchester (Office-based) | Function:
Data & Analytics

P.Louise is a UK beauty brand heading towards £165m in revenue, trading across Shopify, Tik Tok Shop, Boots wholesale, physical retail, and international markets. The business generates enormous volumes of data every day, including sales, marketing, stock, customer, and operational data, but that data currently sits in disconnected systems, spreadsheets, and manual exports. We are hiring a Head of Data to change that: to build the data function from the ground up and turn data into the backbone of how P.Louise

makes decisions.

Own data at P.Louise end to end, covering architecture, infrastructure, reporting, and automation, and partner directly with the FD and the wider leadership team to design and implement the systems, tooling, and automation that take the business's reporting and decision-making to the next level.

This is a build role, not a maintenance role. You will inherit a business that is data-rich but systems-poor: manual reporting, disconnected platforms, and no single source of truth. You will design and build a proper data warehouse, connect the estate end to end (Shopify, Tik Tok Shop, Boots, Klaviyo, Triple Whale, Xero, 3PL/WMS, and more), and replace manual, spreadsheet-based reporting with automated pipelines and self-serve dashboards.

You will work hand-in-hand with the FD on financial and commercial reporting, and with Ecommerce, Marketing, Merchandising and Operations on the reporting and automation that matters to them.

• Data Architecture & Warehousing: designing and building the central data warehouse and data model that becomes P.Louise's single source of truth.
• Systems Integration & Automation: connecting and automating data flows across Shopify, Tik Tok Shop, Boots, Klaviyo, Triple Whale, Xero, WMS/3PL, and other platforms.
• Reporting & Business Intelligence: building automated dashboards and reporting suites for Finance, Commercial, Ecommerce, Marketing, Merchandising and Operations.
• Data Governance & Quality: defining data definitions, ownership, and quality standards across the business so numbers are trusted and consistent.
• Commercial & Trading Analytics: supporting trade meetings, board reporting, and day-to-day decision-making with accurate, timely data and insight.

• Design, build and own a central data warehouse, bringing together sales, marketing, stock, customer and financial data from across the business.
• Define the target data architecture and lead its implementation, selecting and integrating the right tools and platforms for a business at P.Louise's scale.
• Build robust, automated data pipelines (processes that extract data from source systems, transform it into a consistent format, and load it into the warehouse) from all key systems, including Shopify, Tik Tok Shop, Boots wholesale, Klaviyo, Triple Whale, Xero, and WMS/3PL, eliminating manual exports and manual reconciliation.
• Put in place data governance: clear definitions, ownership, documentation and quality monitoring, so every team is working from the same numbers.

• Replace manual, spreadsheet-driven reporting with automated dashboards and self-serve tools for Finance, Ecommerce, Marketing, Merchandising and Operations.
• Own the automation of trade meeting reporting, monthly board packs, and channel-level performance reporting, working closely with the FD.
• Build reporting that goes beyond “what happened” to surface “why it happened and what to do about it,” partnering with commercial and finance teams on insight, not just data delivery.
• Ensure reporting scales cleanly as new channels, markets and systems are added (e.g. new international markets, new platforms).

• Work directly with the FD as a thought partner on financial and commercial reporting, forecasting support, and board-level data needs.
• Partner with Ecommerce and Marketing on customer, campaign and conversion analytics; with Merchandising on stock, margin and range performance; and with Operations on fulfilment and…