Description

Position Responsibilities
Data Design
• Designs and oversees the implementation of data value delivery solutions of varying degrees of complexity.
• Collaborates with Data Product Management, Data Strategy, and IT to ensure ad hoc and point solutions adhere to technical and data architectural standards.
• Ensures solution designs adhere to data governance policies, standards, and guidelines.
• Provides recommendations and data design oversight of proposed solutions requiring integration of two or more domains of data.
Solution Delivery and Quality
• Direct technical activities of product/scrum team resources (FTE and contractor) to ensure data solution quality on basic to complex solutions.
• Delivers data pipeline, reporting and dashboard solutions of the highest complexity requiring the incorporation of insights and analysis to support fact-based decision making.
• Coordinates enterprise and information architect solution reviews to ensure adherence to architectural and data governance standards.
• Collaborates with Decision Scientists to deploy visualization of models and statistical analysis to support business decision makers.
Solution Scalability
• Collaborates with IT, Data Product Owners, Data Strategy, and other stakeholders to scale supported data solutions and products for reuse opportunities.
• Recommends solution reuse to support rapid business decision support.
• Extends existing solution functionality as needed to expand reuse opportunities.
• Provides requirements to Data Strategy and project teams to support the expansion of key data assets for broad enterprise use.

Position Qualifications
• Bachelor's degree in Computer Science, Engineering, Math, or other relevant technology degrees or High School diploma or GED and 10 years of progressively responsible experience
• 5 years of technology experience and proficiency
• 4 years of experience leading large, complex/critical technology projects
• 4 years of experience influencing strategy for large organizations
• 2 years of Data Modeling and Architecture experience
• 4 years of data visualization techniques experience (Power BI, Tableau)
• 4 years of experience with Microsoft Office and expanded product lines (Visio, MS Project, SharePoint)
• 3 years of experience documenting and assisting product owners with creating data and business requirements
• 3 years of experience in banking or related financial industries
• Proficiency in data profiling, statistical analysis, data analysis, and data standardization / cleansing techniques
• Strong SQL skills with the ability to write sophisticated queriers across large, complex data sets
• Experience using statistical techniques to discover the root cause of data quality issues and recommend remediation options
• Ability to analyze data trends, identify patterns and proactively address potential data quality issues
• Experience with Collibra, Informatica, and Snowflake (Python, R is a plus)

Education

Bachelor's degree in Computer Science, Engineering