AI Strategist / Decisioning Expert - AWS and GCP (Daily Rate: Top High End)  Hybrid/Remote Working - London based

AI Strategist / Decisioning Expert - AWS and GCP (Daily Rate: Top High End) Hybrid/Remote Working - London based

Posted 5 days ago by Superstars

Negotiable
Undetermined
Hybrid
England, United Kingdom

Summary: The AI Strategist / Decisioning Expert role focuses on leveraging advanced technology solutions to drive business growth and success. The position requires over 10 years of experience in AI strategy and decision-making, with a strong emphasis on data analytics and collaboration with commercial teams. The role involves translating commercial goals into actionable decision logic within the NBA ecosystem and optimizing business outcomes through effective KPI prioritization. The candidate will work in a hybrid model, balancing 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 decision-making and faster time-to-market offers.
  • Collaborate with Commercial teams and Product Tribes to streamline processes and refine business activities.
  • Operate as an embedded partner within agile squads for continuous value delivery.
  • Challenge business practices and drive best practices for improved outcomes.

Key Skills:

  • NBA, PostgreSQL, AWS, Kinesis, GCP, Kafka, Streaming Analytics, Kotlin, Vertex AI, S3, Terraform.
  • Mastery in data analytics and visualization.
  • Experience with machine learning models and cloud services.
  • Strong programming skills in Kotlin and experience with containerized microservices.
  • Ability to work collaboratively in agile environments.

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

AI Strategist / Decisioning Expert - AWS and GCP Daily Rate - Top High End London based Experience: Snr Role (10+ years) 2 days Hybrid Working (onsite) / 3 days Remote Working Day Rate: Highly negotiable (Top Rates) Key Essential Skills: NBA, POSTGREAY, AWS, Kinesis, GCP ,Kafka, Streaming Analytics and Kotlin, Vertex AI, S3 and Terraform. 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