Candidate is responsible for establishing the processes, standards, procedures, templates, roadmap for design and documentation of the following
o Conceptual, logical and physical data models to effectively articulate the data landscape across the enterprise (including operational data stores, application databases, analytical data stores and publish / subscribe event structures)
o Define and document dependencies between data elements, such as referential integrity rules, business rules, execution sequence rules, etc.
o Document data lineage across the full lifecycle (ILM) of information systems including data ingestion, data producing, data extraction, and data presentment systems
o Define data lifecycle, retention, and masking policies to be applied at each stage of the data management system
o Define, document and maintain a current set of data classification standards and business taxonomy
o Define and document data quality standards
• Candidate is responsible for leading and collaborating with a team of data modelers, data architects and designers across various initiatives across the enterprise to bring consistency in Information Architecture artifacts
• Candidate is responsible for defining and designing conceptual, logical and physical data models for Customer 360 master data for ADS
• Candidate should have 10+ years’ experience working with complex Information Architecture landscapes
• Candidate is responsible for working with the Enterprise Project Management Office to ensure projects are introduced and prioritized to meet the business objectives/priorities. Project participation is required to ensure the proper oversight and alignment to architecture and technology standards.
• Experience in on-prem and Cloud data landscapes including RDBMS, Document Databases, Graph etc is required
• Experience with Agile Methodologies is required
• Experience with preferred platforms is a plus: Microsoft Azure, YellowBrick DW, DB2 on Z/OS, ER Studio
• Experience in the Financial Services industry is preferred