Senior Data Governance & Quality Lead

Ameren Corporation; St. Louis (MO); Hybrid; USD 89,000 - 172,000; Full time

Benefits offered by this job

Medical coverage on date of hire

Pension plan (cash balance)

401(k) with company match

Vacation and holidays

Parental leave

Job summary

Ameren Corporation’s services group is seeking a Senior Data Governance Analyst to design and implement the data governance and quality framework, operating model, and roles & responsibilities. You will drive business understanding of data flows and ensure governance is a priority across the organization.

Responsibilities include establishing a data stewardship program, metadata mappings, data quality standards, and collaboration with enterprise Architecture teams to align with the overall data

Qualifications

• Bachelor's degree required in a relevant field.
• Strong experience delivering data governance and quality projects.
• Knowledge of metadata management and data lineage.

Responsibilities

• Define roles and responsibilities for data governance and data quality; establish processes and procedures.
• Establish a data stewardship program including training and ongoing communication with data stewards.
• Design and implement metadata model maps and lineage across data assets.
• Define and implement data quality standards, roles and metrics.
• Lead data protection reviews for new products/projects and align with EA teams.

Skills

Data governance

Data quality

Agile methodologies

Stakeholder communication

Training others

Education

Bachelor's degree in mathematics statistics computer science or business

Tools

Informatica

Collibra

Job description

Ameren Corporation’s services group is seeking a Senior Data Governance Analyst to design and implement the data governance and quality framework, operating model, and roles & responsibilities. You will drive business understanding of data flows and ensure governance is a priority across the organization.

Responsibilities include establishing a data stewardship program, metadata mappings, data quality standards, and collaboration with enterprise Architecture teams to align with the overall data