What are the responsibilities and job description for the Senior Data Governance Analyst position at Virtual?
Senior Data Governance Analyst
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Bachelor's Degree Management Information Systems, Information Technology, Informatics or related business or technical field
5 - 6 years Experience in data governance or quality management, information architecture and governance design and implementation, with significant influence on overall direction of data governance management
3 - 5 years Experience in data governance or quality management, information architecture and governance design and implementation, with significant influence on overall direction of data governance management
3 - 5 years Experience in banking and finance industry with a focus on bank operations and the banking regulatory environment
General Employee Knowledge, Skills, And Abilities
Ability to establish effective working relationships among team members and participate in solving problems and making decisions
Ability to present and express ideas and information clearly and concisely in a manner appropriate to the audience, whether oral or written
Ability to actively listen to what others are saying to achieve understanding, sharing information with others and facilitating the open exchange of ideas and information
Ability to establish courses of action for self to accomplish specific goals, develop and use tracking systems for monitoring own work progress, and effectively use resources such as time and information
Ability to make right decisions based on perceptive and analytical processes, practicing good judgment in gray areas
Experience in managing enterprise data assets in a large, complex organization
Master Data Management technology landscape, processes and design principles
Experience in the use of data catalogues and data quality technologies
Ability to analyze complex situations and to derive actionable plans
Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change
Any Data Governance, Vendor or Industry certification
Responsibilities
A Senior Data Governance Analyst is a key member of the Data Governance Program at Northwest Bank and will lead the development, deployment, and maintenance of key Data Governance processes relative to sourcing, management, development, and consumption of critical data assets
The Senior Data Governance Analyst will manage the flow of data for Northwest, ensuring its integrity, efficiency, and availability, and that appropriate technical and administrative controls are active, documented, and maintained
Lead the development, application and deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management
Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services
Oversee the design, development, and implementation of functionalities within Data Governance tools and technologies to execute the Data Governance program framework
Curate operational documentation to support usage of the Data Governance Tools and Technologies for the entire organization, from casual users with read-only access to power users with write capabilities
Ensure that all data assets which are subject to the governance processes adhere to appropriate policy and standards
Lead the design, development, and support the ongoing maintenance of an end-to-end data lifecycle management approach
Responsible for applying data governance framework including the management of data, operating model, data policies and standards as well as the application of clearly defined data management definitions for use across Northwest
Lead in the application of the data governance framework with a focus on continued improvement of data quality and adhere to the Bank's data governance strategy
Lead data governance team members in the translation of business rules to data quality rules, as well as the implementation and execution of those data quality rules into data profiling processes within the data governance tools and technologies
Lead the planning, direction, and execution of data improvement efforts in a highly matrixed environment
Lead data governance team members and Data Working Groups in the root-cause investigation of data quality issues and develop proposed solutions to remediate those issues
Facilitate regular Data Working Group sessions with business partners to identify and document critical data assets and their uses, and define the business rules that govern those critical data assets
Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and manage data quality remediation strategies
Assist in developing, reviewing and following standards, policies and processes regarding data quality management
Lead and manage the development and maintenance of program-level metrics and reporting for the Data Steering Committee and other oversight bodies for the Data Governance Program with full transparency
Lead product demonstrations to showcase functionality of tools and technologies, with specific emphasis on how the tools support and carry out the Data Governance Program framework
Work closely with the Training Department to develop and refine enterprise training content pertaining to the Data Governance Program
Ensure compliance with Northwest’s policies and procedures, and Federal / State regulations
Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency
Work as part of a team
Work with on-site equipment
Safety and Health for those without supervisory duties
Abide by the rules of the safety and loss prevention program
Perform work tasks in a safe manner
Report any and all injuries to supervisor
Know what to do in case of an emergency
Developing and operationalizing data based guidelines, policies, procedures, and standards
Hands-on operational management and change management
Cloud and data management trends, including open source projects, methodologies (connect and collect, hub and spoke, data fabrics, etc.) and leading commercial vendors that relate to data acquisition, management and the semantic web
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