Information/Data Governance

Greeting from CBL Solutions CBL Solutions is an IT Development & IT Staffing firm with more than a decade of experience in providing IT Staffing Solutions & Services. Our expertise is in sourcing and deploying highly skilled IT Specialist into mainstream and niche technologies to meet client's Temporary, Permanent & SOW project needs. Role: Information/Data Governance Location: San Antonio, TX Duration: Long Term Mandatory Required Skills:

• IBM Information Governance Catalog
• IBM Information Analyzer
• SQL
• Tableau
• DataStage/snowflake

• Leverages an understanding of multiple data structures and sources to perform complex data manipulation using advanced data extraction and analytical tools and techniques
• Design various enterprise information and data and analytics strategies, including defining visions, conducting assessments of people, processes, and technology; and developing dynamic business value roadmaps
• Design and implement modern industry best practices in governance, management, and quality of information/data
• Design and implementation of data quality scorecards and metrics
• Evaluation, selection and implementation of tools and technology for data catalogs, data governance, data quality and data management
• Collaborate with business and technical teams to provide direction for and contribute to development, implementation and rollout of solutions and consulting services
• Facilitate design and solution workshops with clients
• Under the direction of the Information Governance Manager, the Information Governance Analyst will be responsible for deploying and enforcing Information Governance policies and procedures to support the firms Information Governance initiatives
• Independently prioritize & accomplish multiple tasks in a fast-paced, deadline driven and detail-oriented work environment.
• Implement and enforce adherence to Information Governance policies to ensure compliance with the firms legal obligations, operational requirements, and risks
• Conduct analysis to advise on best practices for data management.
• Manage and coordinate scanning activities to ensure projects are completed timely, accurately and according to Information Governance policies.
• Ensure quality and maintenance of master and reference data.
• Develop of archiving and purging strategies and processes for complex situations (Data Warehouses; Data Lakes; etc.).
• Partner with IT and Legal to ensure archiving and purging activities of data is in compliance with legal requirements.
• Oversee compliance assessment process by identifying and escalating items that may be a risk to the corporation.
• Partner with IT and other Information Management resources to define and implement complex Access Management strategies in alignment with Information Governance policies.
• Lead Privacy initiatives through classification and analysis of sensitive data.
• Ensure compliance and remediation of sensitive data to ensure proper mitigation of inherent risk.
• Integrate Information Management practices into existing processes including ability to incorporate data management practices into new and emerging information technologies.
• Review and validate metadata repository and metadata association. Improve metadata to add additional value to the organization.
• Support Data Lineage collection and stitching to ensure complete end to end data flow of critical data.
• Review, validate, and record data quality information including data quality rules, thresholds, and standard metrics of quality for data elements that support critical business processes.
• Development of controls to mitigate data quality risks including data quality plan development, implementing data quality rule checks, monitoring data quality results, reports and dashboards, as appropriate.
• Identify and maintain data quality corrective action plans.
• Support compliance assessment process by reviewing and documenting failures from data quality compliance assessment checks.
• Analysis of Root Causes to identify existing or merging risks. Identify opportunities to strengthen controls and reduce residual data quality risks.
• Recommend Master and Reference Data processes and procedures to align with Enterprise Policies and Standards.
• Create and maintain reference data in accordance to defined processes and procedures.
• Manage quality and maintenance of master data as it is created