Top Tech Jobs & Startup Jobs in London

Own the full lifecycle of high-value enterprise client engagements, from discovery and scoping through delivery governance, adoption, retention, and expansion. Lead executive relationships, define requirements and success criteria, manage budgets, scope, margins, change requests, and delivery risks, and govern implementations through the MATCH framework. Use client health analytics to identify churn and growth opportunities, develop onboarding playbooks, mentor consultants, and translate client feedback into product and process improvements.

Drive new business growth by selling AI, data, analytics, and agent-based SaaS products to mid-market retail, consumer goods, travel, and hospitality companies. Responsibilities include qualifying inbound and outbound leads, managing high-volume sales cycles, conducting discovery calls and demonstrations, negotiating contracts, maintaining CRM pipelines, forecasting revenue, collaborating on onboarding handoffs, and meeting monthly and quarterly sales targets.

Automate testing and quality assurance for cloud-native data platforms, including data lakehouses, pipelines, APIs, and front-end applications. Responsibilities include creating test plans, executing manual and automated tests, managing test data, defining acceptance criteria, reporting quality metrics, supporting UAT and SIT, and improving QA frameworks, onboarding, training, and SDLC processes within an agile cross-functional team.

Senior Consultant responsible for client-facing delivery across discovery, scoping, requirements, governance, commercial oversight, and adoption. The role manages workstreams through the MATCH delivery framework, maintains stakeholder relationships, tracks scope and budgets, identifies risks and change requests, supports retention and expansion, and mentors junior consultants. Experience in technology transformation, enterprise SaaS, cloud platforms, integrations, data, or BI delivery is valued, particularly across retail, travel, hospitality, or CPG sectors.

Lead end-to-end client implementations on the Xfuze platform, from requirements discovery and pre-sales through architecture, configuration, testing, release, and supportability. The role includes designing data and integration solutions, configuring connectors and workflows, developing plugins, extending data models, creating Power BI dashboards, reviewing technical designs, leading implementation engineers, managing stakeholders, and advising clients on best practices and platform capabilities.

Develop and optimize analytics solutions, dashboards, reports, and scalable data pipelines using SQL, Databricks, Python, and Spark. Collaborate with stakeholders to translate business requirements into analytical solutions, improve analytics infrastructure, and communicate insights through Tableau or Power BI. The role also provides technical guidance and mentorship to junior team members while supporting continuous improvement of analytics capabilities.