(Senior) Manager, Data Platform

<p>Smartly is looking for a (Senior)<strong> Manager, Data Platform</strong> to lead the next stage of our data platform evolution. This role will lead <strong>two complementary squads - Data Engineering & Data Analytics</strong> - under one shared vision, while keeping each squad’s mission and operating model distinct.</p> <p>The focus is on building the foundations of Smartly’s data platform, strengthening data engineering practices, and modelling. You will help make trusted, scalable, and self-serve data a reality across the company, while staying close enough to the work to set the bar for quality, insight, and execution.</p> <h3><strong>In this role, you will</strong></h3> <ul> <li>Lead both squads, aligning them around a common data platform vision while preserving their distinct responsibilities and ways of working.</li> <li>Own the development and evolution of the <strong>data platform</strong>, including data warehouses, pipelines, transformation layers, data models, semantic foundations, and core reporting assets.</li> <li>Drive the platform toward stronger engineering excellence, with a focus on <strong>automation, governance, data contracts, lineage, observability, alerting, reliability, and scalable platform operations</strong>.</li> <li>Guide the team toward stronger <strong>modelling</strong>, building enriched, reusable, and trusted data assets, enabling <strong>self-serve data capabilities</strong>, and enabling teams across Product, Commercial, and other functions.</li> <li>Define and prioritise the <strong>data platform roadmap</strong>, turning recurring support requests and operational pain points into durable platform improvements and better data products.</li> <li>Stay <strong>hands-on</strong> enough with data, modelling, and insight work to guide decisions, unblock teams, and demonstrate what high-quality work looks like in practice.</li> <li>Establish and uphold high standards for <strong>data quality, validation, freshness, availability, and correctness</strong>, including clear ownership and response protocols for issues.</li> <li>Coach and grow the teams across <strong>modelling, validation, testing, communication, and business understanding</strong>.</li> <li>Promote a data-informed culture by replacing fragmented and static reporting with consistent, trusted, and reusable data assets and live reporting.</li> </ul> <h2><strong>What we are looking for</strong></h2> <ul> <li>Strong technical foundations in <strong>data engineering, data warehousing, data modelling, and analytics</strong>.</li> <li>Experience building or scaling a <strong>modern data platform</s