Senior Manager for Marketing Analytics needed at Canonical

What your day will look like

• Lead the growth engineering team, a group of data analysts, performance marketers, lifecycle marketers and marketing automation specialists responsible for driving the best commercial results for Canonical through data and technology.
• Design, implement and operate Canonical marketing technology stack, a dozens of martech applications, from commercial applications (Marketo, Google Analytics, Leandata) to open source solutions (Superset, Kubeflow, WordPress).
• Own reporting and analytics throughout the customer lifecycle from ABM, Multi-Touch Attribution, funnel performance, acquisition costs and customer retention.
• Develop and track OKRs and conversion rates across the marketing and revenue funnels.
• Optimise lead scoring, lead flow and cadences to increase conversion rates across marketing and sales.
• Develop web analytics and SEO practices to sustain high levels of organic user and customer acquisition.
• Drive Return On Ad Spend optimisation through attribution methodologies, advanced targeting and channel exploration.
• Ensure marketing data cleanliness and completeness through data governance policies and management practices.
• Champion an experimentation culture by supporting the business with processes, tooling (A/B tests, MAB) and expertise.
• Collaborate with teams across marketing and throughout Canonical (Product, IS, Engineering, RevOps, Finance) to build data solutions to Go To Market problems.
• Support execution excellence in the marketing team through training, tools and documentation.

What we are looking for in you

• An undergraduate or postgraduate degree in data science, statistics, mathematics, computer science, or engineering , or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
• A strong analytical mindset with solid evidence of managing projects that drive commercial success.
• Knowledge in advanced marketing analytics (media mix modelling, cohort analysis, attribution models ), coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
• Exceptional management experience, leading analytical, creative professionals to excellence.
• Experience in selecting, implementing and managing a leading edge martech stack preferably built on open source software.
• A track record of building a culture of experimentation across the organisation.
• Advanced web analytics and SEO practices across website and SAAS products.
• Proven ability of collaborating with senior stakeholders across functions (sales, revenue operations, product, ISƒ) to turn strategic business and product questions into impactful analytic projects.
• Willingness to travel up to 2-4 times a year for internal events.

Additional Skills Of Interest

• Experience implementing ML generated predictive models for lead generation or customer retention purposes.