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, top daily rates, and the chance to work with diverse clients.
- Why this job: Be part of a dynamic team making impactful decisions in a fast-paced environment.
- Qualifications: 10+ years of experience in AI strategy, leadership, and data analytics 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.
Key must-have skills:
- Leadership quality
- NBA
- KAFKA
- PostgreSQL
- DynamoDB
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 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 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
- 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 employer: Superstars
Contact Detail:
Superstars 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
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, GCP, and the various tools like PostgreSQL and DynamoDB. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with professionals in the AI and digital transformation space. Attend industry meetups or webinars where you can connect with others who work in similar roles. This can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Prepare to discuss your leadership experiences and how you've successfully influenced business outcomes in previous roles. Be ready to provide examples of how you've streamlined processes or improved decision-making within teams.
✨Tip Number 4
Stay updated on the latest trends in AI and decisioning strategies. Being knowledgeable about current advancements will not only help you in interviews but also demonstrate your passion for the field and your commitment to continuous learning.
We think you need these skills to ace AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in AI strategy and decision-making. Emphasise your leadership qualities and specific technologies mentioned in the job description, such as AWS, GCP, PostgreSQL, and DynamoDB.
Craft a Compelling Cover Letter: Write a cover letter that connects your past experiences with the key responsibilities of the role. Discuss how you can translate commercial goals into executable decision logic and your mastery in data analytics for better business outcomes.
Showcase Relevant Projects: Include examples of previous projects where you've successfully implemented AI strategies or decisioning frameworks. Highlight your experience with agile methodologies and working alongside commercial teams to drive growth.
Highlight Technical Skills: Clearly list your technical skills relevant to the position, such as Kotlin, Kafka, and machine learning models. Make sure to mention your familiarity with cloud services like AWS and GCP, as well as your experience with infrastructure as code tools like Terraform.
How to prepare for a job interview at Superstars
✨Showcase Your Leadership Skills
As an AI Strategist, you'll need to demonstrate strong leadership qualities. Prepare examples from your past experiences where you've successfully led teams or projects, particularly in digital transformation contexts.
✨Master the Technical Stack
Familiarise yourself with the key technologies mentioned in the job description, such as AWS, GCP, PostgreSQL, and DynamoDB. Be ready to discuss how you've used these tools in previous roles and how they can be applied to drive business outcomes.
✨Understand the Business Context
The role requires translating commercial goals into executable decision logic. Research the company’s mission and think about how you can align your strategies with their objectives. Be prepared to discuss relevant KPIs and how they can improve business outcomes.
✨Prepare for Agile Methodologies
Since the position involves working within agile squads, brush up on agile principles and practices. Be ready to share your experiences working in agile environments and how you’ve contributed to continuous value delivery.
