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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 and expertise in AI, data analytics, and leadership.
- Other info: Work with advanced technologies like AWS, GCP, and machine learning models.
The predicted salary is between 60000 - 84000 £ per year.
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
Network with professionals in the AI and cloud computing sectors, especially those familiar with AWS and GCP. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in 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 influenced business outcomes in previous roles. Think of specific examples where you've streamlined processes or improved decision-making, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Stay updated on the latest developments in AI and machine learning, particularly in relation to decisioning frameworks. Being able to speak knowledgeably about recent advancements will show your passion for the field and your commitment to driving innovation.
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 can translate commercial goals into executable decision logic and your mastery in data analytics to improve business outcomes.
Showcase Relevant Projects: Include specific examples of projects where you've successfully implemented AI strategies or decisioning frameworks. Highlight your experience with tools like PostgreSQL, DynamoDB, and Kafka, as well as your ability to work within agile teams.
Highlight Soft Skills: In addition to technical expertise, emphasise your soft skills such as communication, collaboration, and the ability to challenge business practices. These are crucial for working alongside commercial teams and influencing business activities.
How to prepare for a job interview at Superstars
✨Showcase Your Leadership Experience
As a senior role, it's crucial to highlight your leadership qualities. Prepare examples of how you've successfully led teams or projects in the past, particularly in AI strategy and decision-making.
✨Demonstrate Technical Proficiency
Familiarise yourself with the key technologies mentioned in the job description, such as AWS, GCP, PostgreSQL, and Kafka. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Understand the Business Context
Research the company and its mission to drive growth through technology solutions. Be prepared to discuss how you can translate commercial goals into actionable strategies within the NBA ecosystem.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work within agile teams. Think of specific situations where you've streamlined processes or influenced business activities for better outcomes.
