Jobs at CTM Data & Electrical

Create and manage targeted audiences, build and optimize automated and one-off CRM campaigns, and deliver personalized communications across email, push, in-app, onsite, and performance marketing channels. Use Braze, Movable Ink, HTML, and SQL while ensuring campaign accuracy, regulatory compliance, data protection, and continuous performance improvement. Collaborate with stakeholders to deliver customer-focused campaigns.

Develop and deliver personalized CRM campaigns across email, push notifications, in-app messaging, on-site experiences, and performance marketing channels. Use Braze, Movable Ink, customer data, and analytics to optimize engagement and campaign performance. Collaborate with cross-functional agile teams while ensuring FCA, GDPR, and internal governance compliance.

Own the product strategy and roadmap for customer growth, using customer insight, market understanding, experimentation, and performance data to improve digital journeys. Build commercial cases, prioritize opportunities, lead initiatives from discovery through optimization, and collaborate with Product, Engineering, Design, Data, Commercial, and Marketing teams. Influence senior stakeholders, drive measurable outcomes, and coach others on product management best practices.

Leads strategy, roadmap, delivery, and optimization for customer intelligence products. Partners with Data and Engineering teams to use customer data, AI, analytics, and emerging technologies to improve customer experiences and business outcomes. Prioritizes complex opportunities, manages technical trade-offs and dependencies, uses experimentation to measure value, influences senior stakeholders, and coaches others on product best practices.

Lead the implementation and continuous improvement of enterprise Data Loss Prevention capabilities. Configure and optimize Netskope, Microsoft Purview, Wiz, and Kiteworks; manage data discovery, classification, labelling, secure file sharing, and DLP alerts. Investigate incidents, produce audit reporting, maintain security standards, and partner with cybersecurity, legal, compliance, privacy, and technology teams. Support automation, vendor management, regulatory compliance, and broader data security improvements.

Sets technical direction for data and AI capabilities, leads large-scale production solutions, establishes engineering standards and reusable frameworks, improves AI monitoring and evaluation, partners with senior stakeholders, mentors engineers, and supports responsible AI adoption across the organization.

Own the App Store Optimisation strategy, improving app visibility, web-to-app conversion, and install growth. Lead data-driven A/B testing, optimise app listings through keyword and creative testing, monitor competitors and app performance, and use analytics and customer insights to improve acquisition. Collaborate with Product, UX, SEO, Content, and App Marketing teams while influencing stakeholders and delivering measurable growth outcomes.

Lead and grow a team of ML engineers to build and operate production ML and LLM systems—real-time inference APIs, batch data products, and agentic AI—ensuring deployment, monitoring, CI/CD, reproducibility, and measurable business impact.

Configure, customize, and improve Oracle Cloud HCM and related HR technology platforms. Serve as the HR systems technical subject matter expert, supporting troubleshooting, impact assessments, testing, releases, integrations, and vendor coordination. Administer Oracle HCM, Recruiting Cloud, BI, security, and reporting capabilities while identifying automation and process-improvement opportunities. Partner with HR and IT stakeholders to deliver reliable technology solutions and improve the colleague experience.

Design, implement, test, secure, and maintain backend services for commercial journeys. Collaborate with product and cross-functional engineering teams, embed testing and security standards, contribute to CI/CD pipelines, and participate in engineering communities and agile delivery practices.

Build, deploy, and maintain production ML and AI systems: model packaging, lifecycle automation, monitoring, batch and real-time workloads, and platform improvements while collaborating with data scientists, engineers, and product teams.

Lead design and deployment of ML models and pipelines for the AI platform. Translate business problems into measurable ML solutions, design experiments and A/B tests, and own model performance, monitoring, degradation detection and retraining. Champion responsible, explainable AI in a regulated financial context, choose between classical ML, LLMs and agentic approaches, collaborate with ML engineering, product and commercial teams, and mentor junior data scientists.

Define and lead LLM discovery and optimisation strategy across SEO and AI-driven platforms. Monitor generative AI/search developments, translate trends to strategy, run measurement and experimentation linking visibility to business outcomes, and partner cross-functionally to embed AI discovery insights. Specify technical, content and authority signals for generative responses and establish governance, best practices and capability-building.

Create and present short-form football content as the face of Compare the Market’s EFL partnership. Attend EFL matches nationwide, engage fans, manage community interaction, and showcase club traditions through a recurring social media series. The role requires regular travel, confident on-camera presenting, strong editorial judgment, brand alignment, and the ability to work within approval processes while maintaining an authentic voice.