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

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

Job summary

A leading digital transformation accelerator seeks an experienced AI Strategist/Decisioning Expert to leverage advanced analytics for enhancing business outcomes. The role involves strategic decision logic translation, KPI advisement, and collaboration with agile teams, providing an opportunity to influence key technology solutions across diverse clients.

Qualifications

• Minimum 10 years experience in data analytics and business decisioning.
• Proven ability to work in agile teams and collaborate with commercial teams.

Responsibilities

• Translate product strategy into decision logic within the NBA ecosystem.
• Advise on prioritizing KPIs to enhance business outcomes.
• Streamline requirement processes for efficiency in execution.

Skills

Data Analytics

Visualisation

Agile Methodology

Commercial Awareness

Tools

Kotlin

PostgreSQL

DynamoDB

AWS Lambda

Terraform

Kafka

GCP

Cloud Storage

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

• 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 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