Data Steward - IT Growth Services

The Data Steward will manage, investigate, and resolve data quality issues in enterprise applications, via deletion and merging, while safeguarding against data loss both on-premise and within the Cloud. This role will guide decision makers in determining where to place specific data while considering business purposes, and how the location of certain data will incur particular risks. They will participate in organizational governance activities, have a solid understanding of the data needs of the business, and are the key implementers and enforcers of data policies, processes, procedures and standards. This role will take a lead in preventing data quality issues by identifying frequent user errors and working with business units to strengthen user competence.

PRIMARY RESPONSIBILITIES: Create and implement a data management strategy, including user policies and training materials, set refresh cycles, and statistical reporting for achieving and maintaining high data quality. Work alongside IT staff as well as senior management to: -Coordinate the placing of data On-Premise, or in Clouds with business strategies. -Develop and maintain a data integration strategy. -Develop and maintain a data security strategy. -Ensure that project management and software development methodologies include the steps, activities, and deliverables required to achieve high quality data. -Identify and ensure the resolution of data quality issues, such as uniqueness, integrity, accuracy, consistency, and completeness, in a cost-effective and timely manner. -Execute audits periodically to ensure that data is being properly managed in the Cloud and On-Premise, and that legal or security requirements are consistently being met. -Perform data profiling on a regular basis, and generate data quality statistics. The results of these audits should be communicated to the owner of the data, and tied into service level agreements (SLAs) between data entry personnel, IT, and the appropriate business units. -Devise, coordinate, and conduct mass data-cleansing initiatives for the purpose of purging and eliminating corrupt or redundant information from corporate databases. -Identify causes of poor data quality, implement solutions, and communicate findings to employees, management, and stakeholders. -Develop and enforce methods and validation mechanisms for ensuring data quality, and accuracy at the point of entry. -Work collaboratively with the system architects to develop methods for synchronizing data entering company systems from multiple points, and within infrastructure On-Premise and within Clouds. -Conduct research and make recommendations on products, tools, services, protocols, and standards that will support the data management strategy. -Ensures that new systems, applications, and data integration measures adhere to existing data management practices, policies, and procedures. Stays abreast of new products in the data management market, conducting research on emerging trends and developments that could support the business. KNOWLEDGE, SKILLS & ABILITIES: EDUCATION & EXPERIENCE: Undergraduate/Bachelor’s degree required; Undergraduate/Bachelor’s degree preferred. 2 years’ experience required; 3 years’ experience preferred

PRIMARY RESPONSIBILITIES & PERCENTAGE OF TIME PER PRIMARY RESPONSIBILITY:

Strategy & Planning (40%):

• Create and implement a data management strategy, including user policies and training materials, set refresh cycles, and statistical reporting for achieving and maintaining high data quality
• Work alongside IT staff as well as senior management to:
• Coordinate the placing of data On-Premise, or in Clouds with business strategies
• Develop and maintain a data integration strategy
• Develop and maintain a data security strategy
• Ensure that project management and software development methodologies include the steps, activities, and deliverables required to achieve high quality data

Operational Management (50%):

• Identify and ensure the resolution of data quality issues, such as uniqueness, integrity, accuracy, consistency, and completeness, in a cost-effective and timely manner
• Execute audits periodically to ensure that data is being properly managed in the Cloud and On-Premise, and that legal or security requirements are consistently being met
• Perform data profiling on a regular basis, and generate data quality statistics. The results of these audits should be communicated to the owner of the data, and tied into service level agreements (SLAs) between data entry personnel, IT, and the appropriate business units
• Devise, coordinate, and conduct mass data-cleansing initiatives for the purpose of purging and eliminating corrupt or redundant information from corporate databases
• Identify causes of poor data quality, implement solutions, and communicate findings to employees, management, and stakeholders
• Develop and enforce methods and validation mechanisms for ensuring data quality, and accuracy at the point of entry
• Work collaboratively with the system architects to develop methods for synchronizing data entering company systems from multiple points, and within infrastructure On-Premise and within Clouds
• Conduct research and make recommendations on products, tools, services, protocols, and standards that will support the data management strategy

Acquisition & Deployment (10%):

• Ensures that new systems, applications, and data integration measures adhere to existing data management practices, policies, and procedures
• Stays abreast of new products in the data management market, conducting research on emerging trends and developments that could support the business

MANAGEMENT AND SUPERVISORY SCOPE:

• Insert

FINANCIAL AND BUDGET ACCOUNTABILITY:

• Yes/No

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