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Design and govern enterprise data architectures and platforms across on-prem, cloud, and hybrid environments. Lead data modeling, ETL/SSIS pipelines, integration (IBM ACE, MQ), Snowflake and SQL Server implementations, HA/DR and performance optimization. Establish governance, monitoring (Prometheus/Grafana), and architecture artifacts using erwin/Bizzdesign/ArchiMate. Collaborate with stakeholders, mentor teams, and drive migration, resilience, and compliance.

Design and govern enterprise data architectures across on‑prem, cloud and hybrid environments. Lead data modeling, platform engineering, ETL/SSIS pipelines, integration (IBM ACE/MQ), HA/DR, performance optimization, governance, monitoring, and stakeholder enablement. Produce HLDs/LLDs, enforce standards, and mentor teams.

Design and govern enterprise data architectures and platforms across on-premises, cloud, and hybrid environments. Lead data modeling, ETL/pipeline design (SSIS), integration (IBM ACE/MQ, APIs), Snowflake and SQL Server platform engineering, performance optimization, HA/DR, monitoring (Prometheus/Grafana), data governance, and architecture reviews while collaborating with stakeholders and mentoring teams.

Design and govern enterprise data architectures and integrations across on-prem, cloud, and hybrid environments. Lead data modeling, platform engineering (Snowflake, SQL Server), ETL/SSIS pipelines, performance tuning, HA/DR, governance (DAMA/PDPL), observability, and architecture reviews while mentoring teams and collaborating with stakeholders.

Design and govern enterprise data architectures and platforms across on-premises, cloud, and hybrid environments. Lead data modeling, ETL/SSIS pipelines, integration (IBM ACE, IBM MQ), Snowflake and SQL Server implementations, HA/DR planning, performance engineering, monitoring (Prometheus/Grafana), governance, and architecture reviews while mentoring teams and enabling stakeholders.

The Data Modeller will design and manage enterprise data models using Erwin, ensuring alignment with data standards and enterprise architecture.

Lead enterprise data modelling using Erwin to produce conceptual, logical, and physical models, establish Erwin Mart governance, align models with government information models (GIM/UDM), integrate with Microsoft Purview, and deliver Authoritative Data Register packs and approval artefacts for DB2 and Databricks target platforms.

Deliver advanced analytics, statistical modeling, ML, and BI solutions across product and customer analytics. Build predictive models, instrumentation, dashboards, and A/B testing frameworks; validate data quality and collaborate with stakeholders to drive conversion and user-journey optimization while following data governance and Responsible AI practices.

Design, develop, train, deploy, and monitor machine learning and generative AI models across the full ML lifecycle. Build scalable pipelines, perform feature engineering, model evaluation, optimization, and production deployment using cloud AI platforms. Collaborate with cross-functional teams, follow MLOps and Responsible AI practices, and document models, metrics, and deployment processes.

Design, build, and operate enterprise MLOps platforms: implement automated ML pipelines, CI/CD, model versioning, deployment on Kubernetes, monitoring, drift detection, retraining, governance, and IaC; collaborate across data and cloud teams and document operational runbooks.