AI Strategist / Decisioning Expert - AWS and GCP (Day Rate Highly Negotiable - Top Rates) Hybrid...

ZipRecruiter; Ashton-under-Lyne; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading digital transformation accelerator is seeking an AI Strategist / Decisioning Expert with over ten years of proven experience. This role involves translating commercial objectives into actionable decision frameworks and enhancing business outcomes using advanced data analytics. The position offers a hybrid working model and competitive day rates negotiable based on experience.

Qualifications

• 10+ years of industry experience.
• Proven record in decisioning and AI strategies.
• Experience in agile environments with commercial focus.

Responsibilities

• Translate commercial goals into executable logic within the NBA ecosystem.
• Utilize data analytics for decision-making.
• Collaborate with commercial teams and product tribes.

Skills

Kotlin

PostgreSQL

DynamoDB

Machine Learning Models

Terraform

Tools

AWS Glue

Kafka

CloudWatch

GitLab CI/CD

Job description

Job Description

AI Strategist / Decisioning Expert - AWS and GCP

London based

Experience: Snr Role (10+ years)

2 days Hybrid Working (onsite) / 3 days Remote Working

Day 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.

Business Responsibilities

• 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.
• Utilize data analytics and visualization to extract relevant signals and patterns for better decision-making and faster time-to-market offers.
• Collaborate with 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 beyond mere execution.
• Operate as an embedded partner within agile squads and tribes to deliver continuous commercial value.
• Challenge the business and promote best practices for improved business outcomes.

Technical Skills

• 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): For configuration, logs, and traceability data.
• Envoy Proxy + ALB + WAF: TLS termination, authentication, and traffic routing.
• CloudWatch / Dynatrace: Observability and alerting.
• Terraform + GitLab CI/CD: Infrastructure as Code and deployment pipelines.
• Development of a custom UI for simulations and experiments, with future plans to incorporate GenAI features for business configuration, testing, and release governance.