Senior CRM MarTech Associate/ CRM MarTech Manager

• Lead the MarTech function for predictions, owning the roadmap for tools such as CDP, engagement platform, analytics, experimentation, and data pipelines. • Configure and manage CDP connections (e.g. data warehouse, analytics, ad platforms, engagement tools), ensuring high data quality and reliability. • Analyse customer behaviour and transaction data to identify key segments, triggers, and opportunities for personalisation and upsell. • Create retention dashboards and opportunities discovery with LLMs and MCP extensions that elevate the analytics capabilities of the team. • Build and maintain audience definitions and segments in the CDP for acquisition, retention, and experimentation use cases. • Define tracking plans and event taxonomies that capture critical customer behaviours across products and platforms • Partner with Data to define metrics and dashboards that measure the impact of CRM initiatives. • Write API requirements and payload specifications for MarTech integrations. • Use templating/ scripting to enable dynamic content and complex personalisation logic in CRM campaigns. • Maintain up‑to‑date documentation (PRDs, specs, tracking plans, data flows) for all CRM initiatives. • Collaborate with Growth, Product, and Engineering stakeholders to define lifecycle strategies that enhance customer experience, activation, and retention across prediction markets. • Translate commercial objectives into clear lifecycle goals, test plans, and KPIs.
• 4-7 years of hands-on experience managing Customer Data Platforms (CDP) and CRM tools in a high‑growth environment. • Comfortable with a modern AI stack and orchestrate a working team of AI agents and sub-agents to complement the workflows. • Proven track record of driving measurable improvements in retention, engagement, and LTV with advanced technologies • Experience working with growth and product teams on experimentation, funnel optimisation, and lifecycle programs in a seasonal sporting environment • Strong SQL skills, with the ability to query large and complex datasets, build audience definitions, and self‑serve analysis. • Strong understanding of sporting events, sportsbook or/ and options-trading.