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

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

Posted 1 week ago by Superstars

£800 Per day
Undetermined
Hybrid
England, United Kingdom

Summary: The AI Strategist / Decisioning Expert role focuses on leveraging advanced technology solutions to drive business growth and success within an innovative accelerator company. The position requires over 10 years of industry experience and involves translating commercial goals into actionable decision logic, while collaborating with various teams to enhance business outcomes. The role also emphasizes mastery in data analytics and the use of cutting-edge tools and programming languages. The working arrangement is hybrid, with a combination of on-site and remote work.

Key Responsibilities:

  • Translate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem.
  • Advise on prioritization of KPIs to improve business outcomes.
  • Utilize data analytics and visualization for better decision-making and faster time-to-market offers.
  • Collaborate with Commercial teams and Product Tribes to streamline requirement processes.
  • Act as an embedded partner within agile squads for continuous value delivery.
  • Challenge business practices to drive best outcomes.

Key Skills:

  • Leadership quality.
  • Experience with NBA, KAFKA, PostgreSQL, and DynamoDB.
  • Proficiency in Kotlin as a primary programming language.
  • Knowledge of AWS and GCP services including Glue, Lambda, and Vertex AI.
  • Experience with containerized microservices and real-time data ingestion.
  • Familiarity with observability tools like CloudWatch and Dynatrace.
  • Understanding of Infrastructure as Code using Terraform and GitLab CI/CD.

Salary (Rate): £800 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

AI Strategist / Decisioning Expert - AWS and GCP £600-£800 per day London based Experience: Snr Role (10+ years) 2 days Hybrid Working (onsite) / 3 days Remote Working Day Rate: Highly negotiable (Top Rates) Key must have skills: Leadership quality NBA KAFKA postgreysql Dynamodb. 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. Business Translate 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 applications PostgreSQL (GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + Lambda + Step Functions : Batch ETL workflows Kafka (Confluent Cloud) : Real-time feature streams ingestion Kinesis Streams + Firehose : Traceability and telemetry routing Cloud Storage (S3, GCP buckets) : Configuration, logs, traceability data Envoy Proxy + ALB + WAF : TLS termination, authentication, traffic routing CloudWatch / Dynatrace : Observability and alerting Terraform + GitLab CI/CD : Infrastructure as Code and deployment pipelines Custom UI for simulations/experiments (planned to support with GenAI features in the future) for business configuration, testing, and release governance