Information Leadership & Strategic
Conducts business information flow studies across multiple wholesale domains – Credit, Payments, Deposits, Liquidity, Sales and Client. Drives complex and comprehensive business architectures and relates those structures to the technology data environment. Participates / Lead in developing information strategy and associated policies: provides thought leadership to define and drive information strategies and frameworks (Data Capture, Data modeling, Integration, Business Intelligence, Machine Learning, Artificial Intelligence, Metadata, Quality and real-time services). Ensures data and information assets are supported by an architecture that furthers the achievement of strategic goals. Lead work groups to rationalize data provisioning and reporting for key Mandates and Business use cases. Represent the organization on architecture review boards, COEs, and related bodies.
Governance / Oversight
Provides critical alignment between Technology and Business Processes. Ensure critical alignment to Enterprise data standards – Quality, Metadata, Linkage, Reference data, Provisioning strategy etc.
Provide information architecture support on architecture engagements aligned to projects and initiatives, including vendor and solution assessments, Business Intelligence and Analytics, Information model definition, Information management consulting and review. Identifies business requirements and ensures the design adequately meets the requirements of the project, while remaining aligned with the overall program strategy and architecture.
Must have 10 or more years of prior working knowledge/hands on experience of capabilities and direction of technology:
Big data Management, ETL, MDM solutions, relational databases, columnar databases, time series databases, AI & BI Platforms, Metadata, Lineage Quality Modeling, Sanitization, Analytics, ETL and Reporting. Experience with normalized and dimensional data modeling as well as experience implementing metadata solutions, and bi-temporal data models.
Experience in data warehouses, analytics, decision support reporting, data sourcing, data delivery, and data governance. Extensive experience with Data warehousing tools such as Oracle and Big data tools such as Hadoop, NoSQL and BI Products such as Micro strategy.
Must be deadline oriented, delivery and execution capabilities, able to identify risks and quickly resolve issues, influence outcomes to across multiple organizations, platforms, and stakeholders. Able to think abstractly and reduce complex issues and/or solutions to simplified, actionable tasks. Be able to influence and work at all levels of engagement - from stakeholder influence and Agile methodology deliverables. Must be able to work with minimal supervision.
10 -12 years defining/establishing large, complex corporate systems