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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: 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.
- 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 an embedded partner within agile squads and tribes for continuous commercial value delivery.
- Challenge 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 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 influenced teams in previous roles. Think of specific examples where you've streamlined processes or improved business outcomes, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Stay updated on the latest developments in AI and decision-making strategies. Reading relevant case studies or white papers can provide insights into best practices and innovative approaches that you can bring up during your conversations with us.
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 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 business outcomes.
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 your ability to work within agile teams.
Highlight Soft Skills: In addition to technical skills, 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 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 contexts.
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as AWS, GCP, PostgreSQL, and Kafka. Be ready to discuss how you've used these tools in previous roles and how they can be applied to the company's needs.
✨Align with Business Goals
Be prepared to discuss how you can translate commercial goals into actionable strategies within the NBA ecosystem. Think about specific KPIs that could drive business outcomes and how you would prioritise them.
✨Demonstrate Data Mastery
Since data analytics and visualisation are key components of this role, come equipped with examples of how you've used data to inform decision-making. Highlight any relevant projects where your insights led to improved outcomes.
