Information Architect
The Information Architect works closely with business and technology stakeholders to understand Enterprise and line of business opportunity areas. They translate this understanding into business data models, domains, and capabilities, considering end user consumption requirements, business processes, system architecture current and target states and the information required to support broad and/or specific information needs.
The Information Architect designs, develops, and manages the structure and organization of information at the tactical and strategic level. With consideration of business requirements and consumption standards, they create various visual imagery, models and artifacts that guide technical requirements for data infrastructure. They evolve existing models and artifacts depicting data structure and organization based on new or changing business needs. Dependent upon the maturity of the supported business area, the Information Architect will inform business processes and organizational efficiency efforts that will enable the efficient and effective capture, flow, storage and consumption of data and information. As such, the Information Architect serves as a critical resource in the management of data and information as a strategic asset.
Position Responsibilities:
Information Design
- Designs and develops data models, including source to target mapping requirements to support program and project level initiatives needed to deliver on business requirements.
- Ensures data designs adhere to Enterprise data governance policies, standards, and guidelines.
- With minimal supervision, defines sub-domains and supporting conceptual models that meet unique business requirements.
- Informs the design of the Enterprise Data Model based on program and project level engagement, supporting capability reuse.
- Defines data patterns and standards supporting program and project key performance indicators and strategic metric development.
Information Delivery
- Designs and oversees the development of reusable data products to support business requirements and value delivery teams.
- Directs value delivery teams on the appropriate use of data sources to deliver business value through data, business intelligence and insight delivery.
- As needed, develops data and information products of the highest complexity, typically requiring direct coordination at the operational system level in partnership with IT.
Data Quality Management
- Supports data owners, data stewards and business leaders to define, measure and remediate data quality issues.
- Provide business/technologist support to IT, data stewards and stakeholders on leveraging processes, tooling, and best practices to automate data quality management activities.
- Engages with IT and 3rd party vendors as needed to support the documentation and validation of business requirements on master data management, data management tooling and other data intensive efforts requiring SME support.
Position Qualifications:
- Bachelor's Degree from an accredited university in Computer Science, Engineering, Math, or other relevant technology degrees or High School Diploma or GED and 12 years of progressive relevant experience
- 6 years of experience in Data modeling and design
- 6 years of experience with knowledge in developing conceptual, logical, and physical data models to support business programs and projects
- 6 years of Technology experience and proficiency
- 5 years of experience influencing strategy at department or organizational level
- 5 years of experience in Data Quality Management
Preferred Qualifications:
- 5 years of experience with Microsoft Office and expanded product lines (Visio, MS Project, SharePoint)
- 4 years of experience in banking or related financial industries
Proficiency in data profiling, 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)
Category C - Days in the office will either be designated days or will vary week to week from 2-5 days
8:00am - 5:00pm Monday - Friday. This position is hybrid and offers both onsite and remote work days.
To Be Determined Based on Individual Experience
