Application Decesioning expert
Posted 2 weeks ago by IT Technical Jobs on Linkedin
Job Description: The role of Application Decisioning Expert involves translating commercial goals and product strategies into actionable decision logic within the NBA ecosystem. The position requires collaboration with commercial teams and product tribes to enhance business outcomes through data analytics and visualization. The expert will also streamline processes and operate within agile squads to deliver continuous commercial value while challenging the business to adopt best practices. Proficiency in various technologies, including Kotlin and AWS services, is essential for this role.
Key Responsibilities:
- Translate commercial goals and product catalogue strategy into executable decision logic.
- Advise on prioritizing KPIs to improve business outcomes.
- Utilize data analytics and visualization for better decision-making.
- Collaborate with Commercial teams and Product Tribes.
- Streamline requirement processes and influence business activities.
- Operate as an embedded partner within agile squads for value delivery.
- Challenge the business and drive best practices for improved outcomes.
Skills Required:
- Mastery in data analytics and visualization.
- Proficiency in Kotlin, PostgreSQL, DynamoDB, and AWS services.
- Experience with machine learning models and ETL workflows.
- Knowledge of real-time data ingestion and observability tools.
- Familiarity with Infrastructure as Code and deployment pipelines.
- Ability to work collaboratively in agile environments.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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
England, United Kingdom
Undetermined
Undetermined
IT
Not Specified
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Job Description: The role of Application Decisioning Expert involves translating commercial goals and product strategies into actionable decision logic within the NBA ecosystem. The position requires collaboration with commercial teams and product tribes to enhance business outcomes through data analytics and visualization. The expert will also streamline processes and operate within agile squads to deliver continuous commercial value while challenging the business to adopt best practices. Proficiency in various technologies, including Kotlin and AWS services, is essential for this role.
Key Responsibilities:
- Translate commercial goals and product catalogue strategy into executable decision logic.
- Advise on prioritizing KPIs to improve business outcomes.
- Utilize data analytics and visualization for better decision-making.
- Collaborate with Commercial teams and Product Tribes.
- Streamline requirement processes and influence business activities.
- Operate as an embedded partner within agile squads for value delivery.
- Challenge the business and drive best practices for improved outcomes.
Skills Required:
- Mastery in data analytics and visualization.
- Proficiency in Kotlin, PostgreSQL, DynamoDB, and AWS services.
- Experience with machine learning models and ETL workflows.
- Knowledge of real-time data ingestion and observability tools.
- Familiarity with Infrastructure as Code and deployment pipelines.
- Ability to work collaboratively in agile environments.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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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