Work with the Chief Data Architect to drive the enterprise data management function and roadmap including current, target and transition states in line with the overall Arch Data & AI strategy.
Maintain the market solution architecture designs and playbooks for adoption of modern data warehousing tech like Snowflake and strategic data platform & analytics capabilities.
Ensure successful delivery of data management initiatives working alongside the solution architects and data architects from the programme.
Own the target state enterprise data management platforms and architecture and transition states from current state, per Segment.
Bring on new Data Management capabilities if required within the organisation from inception to adoption.
Lead the Data Management Centre of Excellence covering all aspects of Data Management and tooling
Manage the Vendor relationships across all tooling covering the data management capabilities
Steer and quantifying the value of data platforms transformation.
Shape overall data management roadmaps, co-created with domain SMEs from the business, to give an overall and coherent view across data in Arch.

At least 3 years of enterprise architecture experience within an organization of similar size and complexity to Arch.
Data architecture expertise with rich experience in delivering transformative programs with a large data management footprint
Experience in architecting and driving Data Governance, Master Data Management, Data Quality, Metadata Management, Data Access Management, Data privacy across a global enterprise
Experience in modern data warehousing and having a solid technical understanding of modern cloud systems is essential
Experience in working with Snowflake/Databricks as an enterprise capability & deep knowledge of the ecosystems.
Experience in key data architecture functions across ingestion, transformation, visualization, metadata management leveraging tools like Snowflake ideally, Azure services, dbtCloud, Collibra.
Experience in delivering data products aligned to business requirements and aligned to the data mesh principles in the modern data warehousing paradigm.
Practically leading successful technical adoption of modern data management capabilities into an enterprise organization.
Strong senior stakeholder communicator, with experience in executive communication.

Enterprise Architect

Key skills