JOBILY AI SUMMARY
What you'll do
- Design enterprise target-state data models and data structures for AI Hub analytics and ML use cases
- Develop integration and ingestion patterns, data access methods, and reusable design standards with Data Engineers
- Implement data quality, governance, and compliance standards including profiling, validation, and controls
- Establish data cataloguing, taxonomy, and lineage practices for discoverability and traceability of data assets
- Create semantic models and knowledge-graph-ready structures linking business concepts and analytical use cases
- Design feature stores and data structures for ML training data in collaboration with AI/ML Engineers and Data Scientists
- Integrate AI governance aspects in data designs addressing model risk, explainability, and auditability
- Conduct architecture reviews and select technologies and standards in alignment with enterprise architecture
- Manage cost governance and capacity guardrails balancing scalability and ownership cost
- Review data designs for performance, cost efficiency, scalability, and reusability as use cases expand
Key requirements
- 6+ years' experience
- Data modelling including conceptual, logical, physical, dimensional, data vault, star schema, semantic modelling
- Enterprise Architecture Frameworks such as TOGAF, ArchiMate, or Zachman with capability mapping and roadmapping
- Data Governance and Compliance covering GDPR, PSD2, DORA, EU AI Act, data quality frameworks, data residency and sovereignty
- SQL/SparkSQL expertise with hands-on experience using Databricks and Azure Data Lake Storage (ADLS Gen2)
- Data Warehouse and Lakehouse Architecture including integration, ingestion patterns, and reusable design standards
- Data Cataloguing and Taxonomy with practices for data discoverability, semantic connections, and lineage
- Feature Store Design for ML training data and AI Model Risk Awareness aligned with governance frameworks
- Collaboration skills and Stakeholder Engagement for presenting to CDO/CTO and enterprise architecture teams
- Architecture Review Boards participation and technology/standard selection
- Computer Science / Information Systems / Engineeringpreferred
Benefits
- Competitive salary and benefits including life/health insurance, bonuses, vouchers, company car depending on role, flexible work arrangements, employee share purchase plan, parental leave, corporate discounts, continuous training, career coaching, diverse culture, and relocation benefits under Brain Regain initiative.
About the job
ARE YOU READY to step into the New Era (NewRA) of AI-driven banking? At Accenture Newra AI Hub, we are not just building technology, we are redefining how banking operates. As part of our strategic collaboration with Piraeus, Newra is designed to responsibly embed AI at the core of its business…


