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

ZipRecruiter; Leigh; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading accelerator company in digital transformation seeks an AI Strategist / Decisioning Expert with over 10 years' experience. This role involves translating business goals into actionable insights, leveraging advanced data analytics for quicker decision-making, and promoting best practices within agile teams. With a hybrid working model, the position offers a top negotiable day rate based on senior expertise, making it a lucrative opportunity for candidates looking to make a significant impact.

Qualifications

• 10+ years of industry experience required.
• Proven track record in decisioning within analytics ecosystems.

Responsibilities

• Translate commercial goals into executable decision logic.
• Advise on KPIs for improved business outcomes.
• Leverage data for better decision-making.

Skills

Kotlin

Data Analytics

Machine Learning

Cloud Storage

API Management

Tools

PostgreSQL

DynamoDB

AWS Glue

Terraform

Kafka

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, is looking for a strong AI Strategist / Decisioning Expert with 10+ years proven industry experience.

The company’s 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 KPIs to prioritize for improved business outcomes within the NBA ecosystem.
• Leverage data analytics and visualization to extract 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).
• Streamline requirement processes and influence refinement of business activities beyond execution.
• Operate as an embedded partner within agile squads and tribes for continuous value delivery.
• Challenge the business and promote best practices for improved 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): 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.