Enterprise Data Architect

Job title : Enterprise Data Architect

Location : Hyderabad

Exp : 5 to 10

Responsibilities :

• Maintaining & managing the existing data architecture for the bank and setting up the strategy for the banks data architecture.
• The design and implementation of the enterprise-wide data strategy, ensuring the strategy supports the current and future business needs.
• They will apply their knowledge of good architecture practice, architecture documentation and data technologies.
• To comprehensively capture the banks current state holistic data architecture and oversee target state design and implementation.
• Providing technical architecture direction, oversight and hand-hold delivery teams for the delivery of target state data architecture.
• The role will involve collaborating with Business heads, Data teams, IT Heads. IT teams and internal and external tech stakeholders (OEM & implementation vendors, partners).
• To ensure the enterprise data strategy and associated implementation adds value to the business.
• Drive Innovation in the areas of Data, Analytics and AI / ML Main duties
• Documenting the detailed holistic enterprise data architecture for both current and target state
• Capturing the enterprise data model, working with the Data & analytics team to align to the conceptual and logical models.
• Setting the strategy for data architecture to support the Business and IT strategies and maintaining the data architecture principles.
• Creating data architecture documents and templates for change initiatives and supporting solution architects to complete.
• Lead data architecture governance forums and provide subject matter expert input to architecture decisions.
• Manage holistic roadmap of architecture change initiatives across the bank, coordinating requirements across different initiatives.
• Provide technical expertise for change initiatives, working with solution architects, technical architects and business product owners.
• Identifying Innovation in the Data, Analytics and AI / ML area and drive the same to implementation.
• Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models, Data dictionary, taxonomy to aid data traceability.
• Provide technical oversight to Solution Architects in creating business driven solutions adhering to the enterprise architecture and data governance standards.
• Develop key performance measures for data integration and quality.
• Working with the wider Enterprise Architecture community to develop the target architecture.

Qualification Essential :

(ref : hirist.tech)