Job Description

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• Works with the delivery teams and Data Office on properly cataloging Critical Data Elements (CDEs). This includes identifying data sources, mapping data/information flows, documenting data lineage, outlining data and payload models, clarifying transformation logic and influencing data model development for ITSM data on Servicenow platform.
• Identifies critical data gaps and proposes solutions including the building of metadata models and business glossaries.
• Performs data profiling, analyzes, and communicates results in support of data quality processes.Manages complex data analyses in working with both structured and unstructured data, including collating disparate data sets from many sources.
• Helps with the process of profiling data and ETL logic for documenting end to end data flow and lineage from capture at source, to storage, to delivery and its business intent at each stage (i.e. capture, transformation, fragmentation, editing)
• Facilitates technology discussions regarding Servicenow data structures, solutioning process, decision making, and provide technology mentorship with multiple groups including technology teams and across managers, business stakeholders, and vendors.
• Understands how the Bank\xe2\x80\x99s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Champions a high performance environment and contributes to an inclusive work environment.
• Monitors project progress by tracking activity, resolving problems, publishing progress reports and recommending actions.
• Works in an Agile mindset to accelerate the delivery of the project

• 3+ years of experience with ServiceNow Business Systems analysis or on platform Development.
• Sound knowledge of ITIL V3 or V4 ITSM Processes/Practices. ITIL foundation Certified.
• 7+ years experience working as a senior contributor in a data focused team working with data governance, data management frameworks, cataloging CDEs, and tracing / managing data lineage.
• 5+ years experience building data warehouse solutions (2+ at the architecture / design level) including ETL, data warehousing, and data visualization. Technology stack includes most of the following: SQL / SQL Server, Power BI, Python, C#, SSIS, Visual Basic, XL Macros
• 5+ years of experience analyzing and managing performance, redundancy, and capacity.
• 5+ years of working experience in writing requirements, architecture documents, or other governance documents associated with application management.

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