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

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Leeds

Hybrid

GBP 60,000 - 80,000

Full time

7 days ago
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Job summary

An innovative accelerator company in the heart of London is seeking an experienced AI Strategist / Decisioning Expert with over 10 years in the field. The role involves leading initiatives to translate commercial goals into data-driven decision-making, working closely with various teams to ensure efficient operations and optimal outcomes. This position offers a competitive daily rate, flexible working conditions, and a chance to shape the future of business through advanced technology solutions.

Qualifications

  • 10+ years of industry experience.
  • Mastery in data analytics and visualization.
  • Expertise in the NBA ecosystem.

Responsibilities

  • Translate commercial goals into executable logic.
  • Advise on priority KPIs for business outcomes.
  • Streamline requirements and drive best practices.

Skills

Leadership quality
NBA
KAFKA
PostgreSQL
DynamoDB

Tools

Kotlin
AWS Glue
Terraform
GitLab CI/CD
CloudWatch
Dynatrace

Job description

Job Description

AI Strategist / Decisioning Expert - AWS and GCP

£600-£800 per day

London based

Experience: Senior 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
  • PostgreSQL
  • 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 prioritize to improve the business outcomes of the NBA ecosystem.
  • Mastery in data analytics and visualization to extract relevant signals and patterns for better decision-making and prioritization for faster time-to-market offers.
  • Work alongside Commercial teams (e.g., base management, pricing) and Product Tribes (e.g., Home, Mobile, TV).
  • Proactively streamline requirements processes and influence the refinement of business activities beyond execution.
  • Operate as embedded partner within agile squads and tribes for continuous commercial value delivery.
  • Challenge 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: Containerized microservice in ECS/GKE hosting 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
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