Senior Data Governance Analyst

• Technical role responsible for developing Data Governance controls using NOC Data Governance solutions on data repositories and Data Platform ensuring data management, quality and responsibilities are in place to improve the overall data governance maturity.
• Digital use cases and application solutions data governance deliverables to ensure data used and presented are accurate and trusted.
• Interface with all NOC business entities especially the users of production operations data to ensure data governance practices and workflows are designed and implemented on data repositories (i.e., data quality rules) to improved business decisions and increase operational efficiency.

JOB DIMENSIONS

• Structured and unstructured data for more than 100 Data Domains, 650 Data Families and 100 Data Sources/Solutions
• Manage 4 solutions and work with 2 service contracts.
• Interface with the digital team to implement data governance on the digital use cases to ensure data used and presented is fit for decision making.
• Interface with the identified data roles within 16 departments, which are Data Owners (Leadership), Data Stewards (Data SMEs) and Data Custodians (Solution SMEs) to capture the data requirements and improvements on the tools.
• Interface with information security to ensure security controls are applied on the data used (i.e. information classification)
• Support maturing data knowledge and practices (i.e. end user training)

Job description

Job Purpose

Purpose of the Role:

• Technical role responsible for developing Data Governance controls using NOC Data Governance solutions on data repositories and Data Platform ensuring data management, quality and responsibilities are in place to improve the overall data governance maturity.
• Digital use cases and application solutions data governance deliverables to ensure data used and presented are accurate and trusted.
• Interface with all NOC business entities especially the users of production operations data to ensure data governance practices and workflows are designed and implemented on data repositories (i.e., data quality rules) to improved business decisions and increase operational efficiency.

JOB DIMENSIONS

• Structured and unstructured data for more than 100 Data Domains, 650 Data Families and 100 Data Sources/Solutions
• Manage 4 solutions and work with 2 service contracts.
• Interface with the digital team to implement data governance on the digital use cases to ensure data used and presented is fit for decision making.
• Interface with the identified data roles within 16 departments, which are Data Owners (Leadership), Data Stewards (Data SMEs) and Data Custodians (Solution SMEs) to capture the data requirements and improvements on the tools.
• Interface with information security to ensure security controls are applied on the data used (i.e. information classification)
• Support maturing data knowledge and practices (i.e. end user training)

Key Accountabilities

• Data Governance solutions management and maintenance (i.e., data quality, data cataloging, metadata management)
• Implement data governance practices on AI, digital use cases, data platforms and NOC solutions.
• Evaluate and apply data governance practices on identified key data elements and any data hosted outside of NOC premise (i.e., cloud).
• Review vendors’ deliverables and communicate corrective actions.
• Enable NOC data literacy and organization upskilling

ACTIVITIES

• Define and implement data governance processes, practices and rules as requested by data owners and steward on data governance tools (i.e. Informatica).
• Work closely with the internal teams team to implement data governance on the data that will be used in AI, advanced analytics and digital use cases and map it to the enterprise data governance practices.
• Develop and maintain AI governance, observability, and quality assurance capabilities, including agent access controls, audit trails, compliance-driven configurations, and automated monitoring for data quality, model performance, bias, and drift, while supporting incident investigation and remediation of AI-related risks.
• Apply data governance requirements on Key Data Elements identified by the business.
• Capture and implement data governance requirements on data before migrating to cloud.
• Perform resource creation and extraction of core databases metadata and profiling metadata, business term association, attribute management, data domains, rules, profiling information and troubleshooting, and performance tuning in EDC.
• Analysis business data and propose data quality rules to the business then implement the selected/validated