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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: 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, 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
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 networking or interviews can set you apart from other candidates.
✨Tip Number 2
Showcase your leadership qualities by sharing examples of how you've successfully led teams or projects in the past. This role requires strong leadership skills, so be prepared to discuss how you've influenced decision-making and driven best practices in previous positions.
✨Tip Number 3
Network with professionals in the AI and digital transformation space, especially those who have experience with NBA ecosystems. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could help you land the job.
✨Tip Number 4
Prepare to discuss your approach to data analytics and visualisation. Since the role involves extracting relevant signals for better decision-making, being able to articulate your methodology and past successes in this area will demonstrate your fit for the position.
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 specific skills related to AWS, GCP, and the 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 for better decision-making.
Showcase Relevant Projects: Include examples of previous projects where you've successfully implemented AI strategies or decisioning frameworks. Highlight your experience with tools like PostgreSQL, DynamoDB, and Kafka, as well as any leadership roles you've held.
Prepare for Technical Questions: Anticipate technical questions related to the technologies listed in the job description. Be ready to discuss your experience with Kotlin, machine learning models, and cloud services like AWS and GCP during potential interviews.
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 better business outcomes.
✨Demonstrate Technical Proficiency
Make sure you can speak confidently about the key technologies mentioned in the job description, such as AWS, GCP, PostgreSQL, 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.
