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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 day 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 advanced data analytics required.
- Other info: Work with exciting 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
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 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 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.
Technical Skills:
- 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
- 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 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
✨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 NBA, Kafka, and PostgreSQL. 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 streamlined processes or improved decision-making, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Stay updated on the latest advancements in AI and data analytics. Being able to discuss recent developments or case studies during your conversations can showcase your passion for the field and your commitment to continuous learning.
We think you need these skills to ace AI Strategist / Decisioning Expert - AWS and GCP (£600-£800 per day) Hybrid/Remote Working - London
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 with AWS, GCP, PostgreSQL, and DynamoDB.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the NBA ecosystem and how you can translate commercial goals into executable decision logic. Mention specific KPIs you've worked with and how they improved business outcomes.
Showcase Relevant Projects: Include examples of past projects where you've successfully implemented data analytics and visualisation techniques. Highlight your experience working alongside commercial teams and agile squads to deliver continuous value.
Highlight Technical Proficiency: Clearly outline your technical skills, especially in Kotlin, Kafka, and machine learning models via Vertex AI. Mention any experience with infrastructure as code using Terraform and CI/CD pipelines, as these are crucial for the role.
How to prepare for a job interview at Superstars
✨Showcase Your Leadership Skills
As an AI Strategist, you'll need to demonstrate strong leadership qualities. Prepare examples from your past experiences where you've successfully led teams or projects, particularly in digital transformation contexts.
✨Master the Technical Stack
Familiarise yourself with the key technologies mentioned in the job description, such as AWS, GCP, PostgreSQL, and DynamoDB. Be ready to discuss how you've used these tools in previous roles and how they can be applied to drive business outcomes.
✨Understand the Business Context
Be prepared to discuss how you would translate commercial goals into executable decision logic within the NBA ecosystem. Think about specific KPIs that could improve business outcomes and how you would prioritise them.
✨Demonstrate Agile Mindset
Since the role involves working within agile squads, showcase your experience with agile methodologies. Discuss how you've contributed to continuous value delivery and how you can influence business activities beyond mere execution.
