Key Responsibilities

1. Data Flow Validation & System Integration Assessment

1. Validate end-to-end data flows across enterprise systems (ERP, PLM, APS, MES, IoT, Data Platforms, etc.)
2. Map data lineage across upstream and downstream systems
3. Analyse real-time vs batch data flows and identify optimisation opportunities
4. Evaluate API, middleware, and integration mechanisms (REST, SOAP, event-driven, ETL/ELT)

2. Data Quality & Consistency Analysis

1. Identify data inconsistencies across systems (master data, transactional data, reference data)
2. Assess data duplication, latency issues, and synchronisation gaps
3. Define and track data quality KPIs (accuracy, completeness, timeliness, consistency)
4. Work with business stakeholders to validate critical data elements (CDEs)

3. Integration Failure & Resilience Assessment

1. Assess integration failure handling mechanisms, including:
2. Error handling and retry strategies
3. Logging and monitoring frameworks
4. Alerting and escalation processes
5. Identify single points of failure and resilience gaps
6. Evaluate fault tolerance and recovery capabilities in integration layers
7. Recommend improvements for high availability and reliability

4. Integration Architecture Review

1. Develop a current-state (AS-IS) integration architecture view
2. Evaluate architecture patterns:
3. Point-to-point vs middleware vs event-driven architecture
4. Use of ESB, iPaaS, or microservices
5. Identify architectural bottlenecks and scalability issues
6. Propose a target-state (TO-BE) integration architecture roadmap

5. Data Management Maturity Assessment

1. Assess organisation maturity across:
2. Data governance
3. Master data management (MDM)
4. Metadata management
5. Data security & compliance
6. Benchmark against industry frameworks (e.g., DAMA-DMBOK, modern data platform maturity models)
7. Provide a maturity scorecard and improvement roadmap

6. Data Health Reporting

1. Develop and present a Data Health Report covering:
2. Data quality metrics
3. Integration reliability
4. Data latency and availability
5. System interoperability
6. Provide executive-level dashboards and insights