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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, competitive day rates, and the chance to work with top-tier 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
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 - Lon... 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 - Lon...
✨Tip Number 1
Network with professionals in the AI and cloud computing sectors, especially those familiar with AWS and GCP. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in discussions during interviews.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Kafka, PostgreSQL, and DynamoDB. Consider building a small project or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 3
Prepare to discuss your leadership experiences and how you've successfully driven business outcomes in previous roles. Be ready to provide examples of how you've influenced teams and streamlined processes, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Stay updated on the latest developments in machine learning and data analytics, particularly in relation to decision-making frameworks. Being able to speak knowledgeably about current trends and innovations will showcase your expertise and enthusiasm for the role.
We think you need these skills to ace AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - Lon...
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 technologies listed in the job description. Be ready to discuss your experience with machine learning models, cloud services, and agile methodologies, as well as how you can drive best practices within a team.
How to prepare for a job interview at Superstars
✨Showcase Your Leadership Skills
As this role requires strong leadership qualities, be prepared to discuss your past experiences in leading teams and projects. Highlight specific instances where you successfully guided a team through challenges or implemented innovative solutions.
✨Demonstrate Technical Mastery
Familiarise yourself with the key technologies mentioned in the job description, such as AWS, GCP, PostgreSQL, and Kafka. Be ready to explain how you've used these tools in previous roles and how they can benefit the company's objectives.
✨Understand the Business Context
Research the company’s mission and the industries they serve. Be prepared to discuss how your expertise in AI strategy can translate into actionable insights that align with their commercial goals and product strategies.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think of examples from your experience where you had to make critical decisions under pressure, particularly in an agile environment.
