Sr. Data Steward (Data Governance)

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.   Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Job Overview   The Data Steward will collaborate on the design and implementation of data governance and quality solutions , ensuring alignment with business objectives , value streams, and maximizing long-term technology investment, to ensure compliance with project requirements . The Data Steward will work closely with B usiness S ponsors , Business Data Owners and Stewards, Business and Technical subject matter experts, Enterprise Architects, and Technology leaders to implement data quality checks and capture business process knowledge based on Data Governance standards and processes, while contributing to the overall data roadmap.     RESPONSIBILITIES    Perform all responsibilities in accordance with Competencies, compliance, regulatory and Information Protection requirements .   Create data profiling methods that can be applied to variety of data structures and be leveraged by data analysts, business stewards and subject matter experts for self-service data profiling .   Build data profiles and i dentify insights from the profiles . R eview profiles with project leaders , data quality and governance analyst s , business data stewards, and technology subject matter experts .     Creating and maintaining data quality metrics for data assets based on the business rules coordinated by Project Managers and Project Data SMEs.    Create and maintain data quality monitoring of identified data quality metrics for data assets. Work closely with Business Data Stewards, Data Quality Analysts, Project Data SMEs to identify the best frequency for measuring quality.   Assist with maintaining a centralized DGO dashboard summarizing the status of data governance and data quality for data assets.   Design data quality remediation procedures and scripts in partnerships with business unit’s functional areas, and the Technology department to ensure that data quality issues are implemented in source systems.   Identify and classify PII or Restricted data in the Data Governance Tool and follow the Personally Identifiable Information PII Data Inventory Standard.    Identify Data Owner(s) and Steward(s) of data areas .   Database column level documentation of all data that is created or stored in the system is required and if does not exist there should be a plan to create.  Minimum requires data element name, technical name, location of element in database and application, definition, data type, and sample data .   Identify and log Critical Data Elements (CDEs) in the data governance tool with business definition and technical metadata.   Document column level lineage with transformation logic mapped in the Data Governance Tool.   Collaborate with Data Owners, Business Data Stewards, Data Governance and Quality Analysts, Business and Tech SMEs to ensure proper retention practices are followed in accordance with the Data Purging Standard.   Demonstrate the DGO operating model to Business Data Stewards and data community to enable them to implement data governance and quality practices in a self-service manner.    Deliver training and answer questions from Business Data Stewards of functionality of data governance related tool s and proper usage.   Partner with vendors and the Technology department to build source system integrations, participate in the timely implementation of patches and upgrades lead by Technology , coordinate system and user-acceptance testing, and drive the resolution of system issues for DGO-owned platforms.   D ELIVERABLES   Domain-specific Data Governance and Quality artifacts   Design and Implement Data Quality rules, monitoring, reporting, and remediation solutions   A li gn ed solutions to BECU Data Governance, Design and T echnology standards ( e.g. SDLC, Cybersecurity, Quality Engineering)   Risk , decision, action item and issue log (s)   Updates to communication and change management plans   Status reports in the form and frequency requested by Customer   Knowledge Transfer to BECU FTE (s) with supporting documents      QUALIFICATIONS   Ability to work the hours of 8:00 AM to 5:00 PM Pacific Time   5 y ears data quality development experience required   3 y ears data governa nce experience required   Experience with data management tools required (Informatica, Collibra, Purview, etc.)   Proficient writing and reading SQL   Experience working with relational SQL databases (Oracle, MS SQL)   Strong written and verbal communication skills   Ability to lead initiatives/small projects   Strong understanding of data quality and governance frameworks   Experience with metric driven data governance   Strong analytical, conceptual and problem solving skills with a proven track record in gathering and documenting comprehensive business requirements in a highly regulated environment   Familiarity with developing and performing data manipulation, data cleansing, data analysis, and data anomalies detection preferred   Pay : The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and