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Job Title


AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - London based


Company : Superstars


Location : bradford, yorkshire and the humber


Created : 2025-06-21


Job Type : Full Time


Job Description

AI Strategist / Decisioning Expert - AWS and GCP£600-£800 per dayLondon basedExperience: Snr Role (10+ years)2 days Hybrid Working (onsite) / 3 days Remote WorkingDay Rate: Highly negotiable (Top Rates)My client, an innovative accelerator company specializing in digital transformation, working with a diverse range of clients is looking for a strong AI Strategist / Decisioning Expert with 10+ years proven industry experience.The company mission is to drive growth and success for businesses through cutting-edge technology solutions. As they continue to expand, they are seeking an AI Strategist / Decisioning expert to join their dynamic team.BusinessTranslate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem.Advise on which KPIs to prioritise to improve the business outcomes of the NBA ecosystem.Mastery in data analytics and visualisation to extract the relevant signals and pattern for better decision-making and prioritisation for faster time-to-market offers.Must be able to work alongside Commercial teams (e.g. base management, pricing) and Product Tribes (e.g. Home, Mobile, TV).Proactively streamline requirement processes and influence the refinement of business activities themselves, beyond execution.Operate as embedded partner within agile squads and tribes for continuous commercial value delivery.Must be capable of challenging the business and drive best practices for better business outcomes.Tech Kotlin: Primary programming language for core NBA applicationsPostgreSQL (GCP & AWS RDS): For application configuration and schema managementDynamoDB (AWS): NoSQL data store for high-throughput eligibility and state dataCommercial NBA App(containerised microservice in ECS/GKE): Hosts decisioning logicNBA Orchestrator: Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systemsMachine Learning Models via Vertex AI (GCP)AWS Glue + Lambda + Step Functions: Batch ETL workflowsKafka (Confluent Cloud): Real-time feature streams ingestionKinesis Streams + Firehose: Traceability and telemetry routingCloud Storage (S3, GCP buckets): Configuration, logs, traceability dataEnvoy Proxy + ALB + WAF: TLS termination, authentication, traffic routingCloudWatch / Dynatrace: Observability and alertingTerraform + GitLab CI/CD: Infrastructure as Code and deployment pipelinesCustom UI for simulations/experiments (planned to support with GenAI features in the future) for business configuration, testing, and release governance