- Source & API Attribute Mapping - Map UI fields and business attributes to source system APIs (batch or real-time). Covers BIAN entity/attribute mapping, request/response analysis, and end-to-end data lineage from source to target.

- Stakeholder Workshops & Facilitation - Plan and run workshops with business, technology, and downstream teams to capture data requirements, validate sourcing, and align on scope. Communicate clearly with both technical and non-technical audiences.

- Data Quality & Validation - Design and implement automated checks, reconciliation, and validation rules across pipelines and datasets. Ensure completeness, accuracy, and fitness-for-purpose of all data delivered.

- Agile Delivery - Work within cross-functional Agile squads alongside BAs, engineers, SMEs, and risk partners. Manage priorities, contribute to sprint planning, and drive outcomes iteratively.

- Documentation & Data Dictionary - Produce clear, structured documentation including data dictionaries, source-to-target mappings, data models, and API specs written for both technical and business audiences.

- Data Engineering - Build and maintain data ingestion and transformation. Use Python, SQL, and DBT to deliver scalable, fault-tolerant data flows. Exposure to data warehouse design,Splunk/Dynatrace monitoring, and cloud-native data mesh architectures.

- Strong Communication & Collaboration - Tailor messaging for different audiences, tell a clear story with data, and work effectively across cross-functional teams balancing technical depth with business clarity.

- Analytical Thinking & Problem Solving - Apply critical thinking to diagnose data issues, resolve pipeline or quality problems, and translate complex findings into actionable insights for stakeholders.

GOOD TO HAVE ADVANTAGEOUS :

- BI Dashboards & Reporting - Design and build self-service dashboards using Power BI, Qlik Sense, or Tableau. Automate reporting to provide stakeholders with accurate, timely performance and compliance metrics.

- BIAN Knowledge - Familiarity with the BIAN (Banking Industry Architecture Network) reference model including Service Domain structures, BQ interaction models, and entity/attribute conventions.

- Banking Experience - Prior experience in banking, financial services, or consulting. Non-Financial Risk frameworks.