Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI strategy and decision-making for innovative digital transformation projects.
- Company: Join a cutting-edge accelerator company driving growth through technology solutions.
- Benefits: Enjoy hybrid working, competitive day rates, and the chance to work with diverse clients.
- Why this job: Be part of a dynamic team shaping the future of business with AI and data analytics.
- Qualifications: 10+ years of industry experience in AI strategy and decisioning required.
- Other info: Work with advanced technologies like AWS, GCP, and machine learning models.
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 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.
- Mastery in data analytics and visualisation to extract the relevant signals and patterns for better decision-making and prioritisation 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 requirement processes and influence the refinement of business activities themselves, beyond execution.
- Operate as an embedded partner within agile squads and tribes for continuous commercial value delivery.
- Challenge the business and drive best practices for better 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 (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.
AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - London based employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - London based
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, GCP, and Kotlin. Having hands-on experience or relevant projects to discuss can set you apart during interviews.
✨Tip Number 2
Network with professionals in the AI and digital transformation space. Attend industry events or webinars where you can meet potential colleagues or decision-makers from companies like ours, which can lead to valuable connections.
✨Tip Number 3
Prepare to discuss your previous experiences in translating commercial goals into actionable strategies. Be ready to provide examples of how you've successfully influenced business outcomes through data analytics and decision-making.
✨Tip Number 4
Showcase your ability to work collaboratively within agile teams. Highlight any past experiences where you’ve acted as an embedded partner, driving best practices and continuous value delivery in a fast-paced environment.
We think you need these skills to ace AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - London based
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in AI strategy and decision-making. Focus on relevant projects where you've successfully translated commercial goals into executable decision logic, especially within the NBA ecosystem.
Craft a Compelling Cover Letter: In your cover letter, emphasise your mastery in data analytics and visualisation. Discuss specific KPIs you have prioritised in past roles to improve business outcomes, showcasing your ability to drive growth through technology solutions.
Showcase Technical Skills: Clearly outline your technical expertise in Kotlin, PostgreSQL, DynamoDB, and other relevant technologies mentioned in the job description. Provide examples of how you've used these tools in previous roles to deliver commercial value.
Highlight Collaboration Experience: Demonstrate your experience working alongside commercial teams and product tribes. Share examples of how you've influenced business activities and streamlined processes to enhance decision-making and time-to-market offers.
How to prepare for a job interview at Job Traffic
✨Showcase Your Experience
With over 10 years in the industry, it's crucial to highlight your relevant experience. Prepare specific examples of how you've successfully implemented AI strategies and decisioning processes in previous roles, particularly in relation to AWS and GCP.
✨Understand the Business Context
Familiarise yourself with the company's mission and how they drive growth through technology. Be ready to discuss how you can translate commercial goals into actionable decision logic, and suggest KPIs that could enhance business outcomes.
✨Demonstrate Technical Proficiency
Brush up on the technical skills mentioned in the job description, such as Kotlin, PostgreSQL, and machine learning models via Vertex AI. Be prepared to discuss your hands-on experience with these technologies and how they relate to the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach challenges in an agile environment, especially regarding streamlining processes and delivering continuous commercial value.
