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- 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: Must have 10+ years of experience in AI strategy and decisioning, with strong leadership skills.
- Other info: Work with advanced technologies like AWS, GCP, and machine learning models.
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.
Key must have skills:
- Leadership quality
- NBA
- KAFKA
- PostgreSQL
- DynamoDB
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.
- 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 Stack:
- 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: 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 based
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, GCP, and the various tools like Kafka and PostgreSQL. Being able to discuss your hands-on experience with these technologies during interviews will demonstrate your expertise and make you a more attractive candidate.
✨Tip Number 2
Network with professionals in the AI and digital transformation space, especially those who have worked with NBA ecosystems. Engaging in relevant online communities or attending industry events can help you gain insights and potentially get referrals that could lead to an interview.
✨Tip Number 3
Prepare to showcase your leadership qualities and experience in driving business outcomes through technology. Think of specific examples where you've successfully influenced decision-making processes or streamlined operations, as these will resonate well with the hiring team.
✨Tip Number 4
Stay updated on the latest trends in AI and data analytics, particularly how they apply to commercial strategies. Being able to discuss current developments and their implications for businesses will show your passion for the field and your readiness to contribute to the company's mission.
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. Emphasise your leadership qualities and relevant technical skills, particularly in AWS, GCP, and the specific technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that connects your past experiences with the requirements of the role. Discuss how you've successfully translated commercial goals into executable decision logic and your mastery in data analytics and visualisation.
Showcase Relevant Projects: Include specific examples of projects where you have used technologies like PostgreSQL, DynamoDB, and Kafka. Highlight your role in these projects and the impact they had on business outcomes.
Prepare for Technical Questions: Anticipate technical questions related to the tools and methodologies mentioned in the job description. Be ready to discuss your experience with machine learning models, cloud services, and agile methodologies.
How to prepare for a job interview at Superstars
✨Showcase Your Leadership Skills
As a senior role, it's crucial to demonstrate your leadership qualities. Prepare examples of how you've successfully led teams or projects in the past, particularly in AI strategy and decision-making.
✨Understand the NBA Ecosystem
Familiarise yourself with the NBA ecosystem and its commercial goals. Be ready to discuss how you would translate these goals into executable decision logic and which KPIs you would prioritise for improved business outcomes.
✨Demonstrate Technical Proficiency
Make sure you can speak confidently about the key technologies mentioned in the job description, such as PostgreSQL, DynamoDB, and Kafka. Prepare to discuss your experience with these tools and how they relate to the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work within agile squads. Think of specific situations where you've streamlined processes or influenced business activities for better outcomes.
