AI Strategist / Decisioning Expert - AWS and GCP (Day Rate Highly Negotiable - Top Rates) Hybrid/Remote Working - London based
Posted 2 weeks ago by Superstars on Linkedin
Job Description: The AI Strategist / Decisioning Expert role is a senior position requiring over 10 years of experience, focused on leveraging AI and data analytics to enhance business outcomes within the NBA ecosystem. The position involves translating commercial goals into actionable decision logic, collaborating with various teams, and driving best practices for continuous value delivery. The role supports hybrid working arrangements, with two days on-site and three days remote. The company is an innovative accelerator specializing in digital transformation.
Key Responsibilities:
- Translate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem.
- Advise on KPIs to prioritize for improved business outcomes.
- Utilize data analytics and visualization for better decision-making and prioritization.
- Collaborate with Commercial teams and Product Tribes.
- Streamline requirement processes and influence business activity refinement.
- Operate as an embedded partner within agile squads for continuous value delivery.
- Challenge the business and drive best practices for better outcomes.
Skills Required:
- 10+ years of industry experience in AI strategy and decisioning.
- Proficiency in Kotlin, PostgreSQL, and DynamoDB.
- Experience with machine learning models and cloud services (GCP, AWS).
- Strong data analytics and visualization skills.
- Ability to work collaboratively in agile environments.
- Experience with infrastructure as code and CI/CD pipelines.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
AI Strategist / Decisioning Expert - AWS and GCP
London based
Experience: Snr Role (10+ years)
2 days Hybrid Working (onsite) / 3 days Remote Working
Day Rate: Highly negotiable (Top Rates)
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
- 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 pattern 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
- 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
Negotiable
London Area, United Kingdom
Undetermined
Hybrid
IT
Senior
Share job:
Job Description: The AI Strategist / Decisioning Expert role is a senior position requiring over 10 years of experience, focused on leveraging AI and data analytics to enhance business outcomes within the NBA ecosystem. The position involves translating commercial goals into actionable decision logic, collaborating with various teams, and driving best practices for continuous value delivery. The role supports hybrid working arrangements, with two days on-site and three days remote. The company is an innovative accelerator specializing in digital transformation.
Key Responsibilities:
- Translate commercial goals and product catalogue strategy into executable decision logic within the NBA ecosystem.
- Advise on KPIs to prioritize for improved business outcomes.
- Utilize data analytics and visualization for better decision-making and prioritization.
- Collaborate with Commercial teams and Product Tribes.
- Streamline requirement processes and influence business activity refinement.
- Operate as an embedded partner within agile squads for continuous value delivery.
- Challenge the business and drive best practices for better outcomes.
Skills Required:
- 10+ years of industry experience in AI strategy and decisioning.
- Proficiency in Kotlin, PostgreSQL, and DynamoDB.
- Experience with machine learning models and cloud services (GCP, AWS).
- Strong data analytics and visualization skills.
- Ability to work collaboratively in agile environments.
- Experience with infrastructure as code and CI/CD pipelines.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
AI Strategist / Decisioning Expert - AWS and GCP
London based
Experience: Snr Role (10+ years)
2 days Hybrid Working (onsite) / 3 days Remote Working
Day Rate: Highly negotiable (Top Rates)
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
- 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 pattern 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
- 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
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