Executive Director / Director, Head of Applied Data and Analytics Office
Tasks
- Build and maintain API frameworks and integration services
- Build and operationalize generative AI capabilities
- Define and enforce model guardrails drift detection bias monitoring
- Deliver actionable insights to senior leadership and risk functions
- Design and deliver enterprise analytics reporting and business intelligence
- Design and manage orchestration layer for analytics and AI products
- Develop self service reporting and dashboarding solutions
- Drive evolution from reporting to predictive and prescriptive analytics
- Drive predictive modeling machine learning natural language processing statistical analysis innovation
- Embed DevOps and DataOps best practices
- Ensure analytics products meet data governance quality and control standards
- Ensure orchestration and API services security resilience performance
- Ensure responsible AI with explainability fairness human in the loop
- Establish connectivity with enterprise systems for analytics at point of decision
- Establish data visualization standards and best practices
- Establish enterprise MLOps framework for model lifecycle
- Establish product ownership disciplines
- Implement automated CI CD pipelines for model deployment
- Implement data pipelines feature stores reusable data assets
- Lead advanced analytics product design development delivery
- Lead and mentor teams of data and advanced analytics professionals
- Lead engineering and development of AI generative AI and data products
- Maintain model inventory with traceability version control lineage
- Monitor delivery KPIs time to value product adoption model performance uptime
- Move products from proof of concept to production deployment
- Translate business requirements into scalable analytics solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Azure | CI/CD | Cloud Native | Cloud Native Architecture | Data Governance | Data Pipelines | DataOps | Databricks | Databricks SQL | DevOps | Enterprise Architecture | Explainable AI | Fairness | Feature Stores | Generative AI | Human-in-the-loop | LLM-powered Applications | Language Models | Language Processing | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Deployment | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Power BI | Python | REST APIs | Statistical Analysis | Tableau | The Loop
Education
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