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- Tasks: Join a dynamic team to drive AI strategies and decision-making for innovative digital transformations.
- Company: Be part of an accelerator company focused on cutting-edge technology solutions for diverse clients.
- Benefits: Enjoy hybrid/remote work options and a top-end daily rate.
- Why this job: Make a real impact in the tech industry while collaborating with agile teams and driving best practices.
- Qualifications: 10+ years of experience in AI strategy, data analytics, and relevant technologies like AWS and GCP.
- Other info: This is a mid-senior level contract role with opportunities for growth and innovation.
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.
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.
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.
- 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.
- AWS Glue + Lambda + Step Functions: Batch ETL workflows.
- 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.
Seniority Level: Mid-Senior level
Employment Type: Contract
Job Function: Information Technology
Industries: Technology, Information and Media
AI Strategist / Decisioning Expert - AWS and GCP (Daily Rate: Top High End) Hybrid/Remote Work[...] 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 (Daily Rate: Top High End) Hybrid/Remote Work[...]
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, GCP, and Kotlin. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the AI and cloud computing sectors. Attend relevant meetups or webinars to connect with industry experts and potentially get referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your previous experiences in translating commercial goals into actionable strategies. Be ready to provide examples of how you've successfully influenced business outcomes through data analytics and decision-making.
✨Tip Number 4
Showcase your ability to work in agile environments. Highlight any past experiences where you collaborated with cross-functional teams, as this role requires working closely with commercial teams and product tribes.
We think you need these skills to ace AI Strategist / Decisioning Expert - AWS and GCP (Daily Rate: Top High End) Hybrid/Remote Work[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in AI strategy and decision-making. Focus on relevant technologies like AWS, GCP, Kotlin, and PostgreSQL, and showcase specific projects where you've driven business outcomes.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about digital transformation and how your expertise aligns with the company's mission. Mention your ability to translate commercial goals into executable decision logic and your experience working with agile teams.
Highlight Key Achievements: Use quantifiable metrics to demonstrate your impact in previous roles. For example, discuss how your data analytics skills improved KPIs or led to faster time-to-market offers in past projects.
Showcase Soft Skills: Emphasise your ability to collaborate with commercial teams and influence business activities. Highlight your communication skills and your capacity to challenge the status quo for better business outcomes.
How to prepare for a job interview at Superstars
✨Showcase Your Technical Mastery
Make sure to highlight your experience with the specific technologies mentioned in the job description, such as AWS, GCP, Kotlin, and PostgreSQL. Be prepared to discuss how you've used these tools in past projects and how they can be applied to the role.
✨Demonstrate Business Acumen
Since the role involves translating commercial goals into executable decision logic, come prepared with examples of how you've successfully aligned technical solutions with business objectives. This will show that you understand the bigger picture and can drive value for the company.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills and decision-making process. Think of specific situations where you had to make critical decisions based on data analytics and how those decisions impacted the business outcomes.
✨Emphasise Collaboration Skills
The role requires working alongside various teams, so be ready to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to achieve common goals, especially in agile settings.
