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

JR United Kingdom; Slough; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading innovative accelerator company is seeking a passionate AI Strategist / Decisioning Expert with over 10 years of experience. This senior role involves driving growth through technological solutions, translating commercial objectives into actionable insights and collaborating within agile teams to foster business innovations in a modern hybrid/remote work environment.

Qualifications

• Senior Role (10+ years industry experience)
• Strong technical skills in data storage and processing technologies.

Responsibilities

• Translate commercial goals into decision logic within the NBA ecosystem.
• Utilize data analytics for business improvement.
• Collaborate with teams and streamline business processes.

Skills

NBA

KAFKA

DynamoDB

Tools

Kotlin

PostgreSQL

AWS Glue

Terraform

CloudWatch

Job description

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AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - London based, Slough

Client:

Location:

Slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

Job Views:

2

Posted:

27.06.2025

Expiry Date:

11.08.2025

Job Description:

AI Strategist / Decisioning Expert - AWS and GCP

Experience: Senior Role (10+ years)

Work arrangement: 2 days hybrid (onsite) / 3 days remote

Key must-have skills:

• NBA
• KAFKA
• DynamoDB

My client, an innovative accelerator company specializing in digital transformation, is looking for a strong AI Strategist / Decisioning Expert with over 10 years of proven industry experience.

The company's mission is to drive growth and success for businesses through cutting-edge technology solutions. As they expand, they seek an AI Strategist / Decisioning Expert to join their team.

Business responsibilities:

• Translate commercial goals and product strategy into decision logic within the NBA ecosystem.
• Advise on KPIs to improve business outcomes.
• Utilize data analytics and visualization to extract signals and patterns for better decision-making and faster market offers.
• Collaborate with commercial teams (e.g., pricing, base management) and product tribes (e.g., Mobile, TV, Home).
• Streamline requirements and influence business process refinement.
• Embed within agile squads for continuous value delivery.
• Challenge the business and promote best practices for improved outcomes.

Technical skills:

• Kotlin: Primary language for core NBA applications
• PostgreSQL: For configuration and schema management (GCP & AWS RDS)
• DynamoDB: NoSQL store on AWS for high-throughput data
• NBA App: Containerized microservice hosting decision logic
• NBA Orchestrator: Manages flows and API calls across systems
• AWS Glue, Lambda, Step Functions: Batch ETL workflows
• Kinesis Streams, Firehose: Telemetry and traceability
• Cloud Storage: S3 and GCP buckets for data storage
• Envoy Proxy, ALB, WAF: Traffic management and security
• CloudWatch, Dynatrace: Observability and alerts
• Terraform, GitLab CI/CD: Infrastructure and deployment pipelines

Additionally, a custom UI for simulations and experiments is planned, supporting future GenAI features for business configuration, testing, and governance.