Data Governance Analyst

Security Benefit Business Services / Everly Life•Topeka, KS

1d•Hybrid

About The Position

The Data Governance Analyst executes and operates governance programs, contributes to governance framework design, and builds subject matter expertise in data governance within Security Benefit’s Digital & Technology Solutions organization. The role calls for a critical, analytical, and inquisitive thinker who can work independently on defined workstreams and apply established approaches to new situations. The analyst helps mature enterprise data governance across data platform and legacy system environments. The position reports to the AVP, Data Strategy & Enablement. It may be based at the home office in Topeka, Kansas, or remotely for the right candidate. The company describes its schedule as hybrid, with flexibility to work remotely and on-site. The analyst contributes to enterprise governance program design and operations, operates the data stewardship model, supports the Data Stewardship community, and contributes to governance roadmaps, policies, standards, and procedures. The role also manages day-to-day metadata practices, including data classification, business glossary development, critical data element documentation, metadata quality, discoverability, and adoption. It supports data lineage, pipeline governance, and ELT-layer metadata standards. The role executes cross-functional data quality initiatives, including monitoring, issue tracking and escalation, remediation coordination, and outcome reporting. It also supports regulatory compliance and data privacy activities by maintaining audit evidence and documentation, and helps develop governance training and communications to encourage adoption among business stakeholders.

Requirements

Bachelor’s degree in Information Management, Data Analytics, Business Administration, Computer Science, or a related field.
4–6 years of experience in data governance, data management, or data quality, including participation in cross-functional governance programs.
Hands-on experience with data governance and metadata management practices, including governance tooling and workflow design.
Working knowledge of governance frameworks such as DAMA-DMBOK or DCAM, with the ability to apply framework concepts in operational practice.
Ability to work independently, think critically, and bring ideas and solutions; willingness to share knowledge with team members.
Experience in financial services or a regulated data environment.
Excellent verbal and written communication skills for technical and non-technical audiences and across multiple channels.
Experience in data quality analysis, profiling, root cause analysis, monitoring, and remediation processes.

Nice To Haves

Master’s degree in Information Management, Data Analytics, or a related field.
Certifications in data governance, such as CDMP or DGSP, or credentials in metadata management platforms.
Business analyst experience or skills, including gathering and documenting business requirements, mapping processes and data flows, and translating business needs into data and governance requirements.
Experience leading stakeholder interviews and working sessions to uncover business context, ask probing questions, and synthesize findings into clear recommendations.
Experience with data catalog and governance platforms.
Experience with data quality tools and profiling solutions.
Experience with SQL and data analysis tools.
Experience with reporting and dashboard platforms.
Insurance or retirement industry experience.

Responsibilities

Contribute to the design and own the operation of enterprise data governance programs; recommend improvements.
Operate the data stewardship model by maintaining stewardship charters, onboarding business domains, supporting the Data Stewardship community, and running governance rhythms across business areas.
Contribute to the Data Governance roadmap with governance leadership; draft and maintain governance policies, standards, and procedures, identify capability gaps, and track progress against maturity goals.
Manage day-to-day metadata practices, including data classification, business glossary development, and critical data element documentation.
Contribute to semantic modeling and to ownership and usage standards across business domains.
Maintain the organization and presentation of governed metadata to improve discoverability and adoption across business and technical teams.
Apply and monitor metadata quality and completeness standards, flag gaps, and support their resolution.
Support Data Platform and Data Intelligence teams on data lineage, pipeline governance, and ELT-layer metadata standards.
Execute cross-functional data quality initiatives, including applying quality dimensions, operating monitoring frameworks, managing issue tracking and escalation, coordinating remediation with Data Engineering and Data Intelligence teams, and reporting outcomes to governance leadership.
Support regulatory compliance activities for applicable regulatory and data privacy requirements by collecting and maintaining audit evidence and compliance documentation and supporting governance controls.
Help develop and deliver governance training and communications and support adoption efforts with business stakeholders.

Benefits

Competitive salary and annual incentive bonuses.
33 days of paid time off, including PTO, holidays, Volunteer Day, and days of significance.
Paid parental leave after 90 days of service.
Medical, dental, and vision insurance.
401(k) with company match.
Profit Sharing & Savings Plan.
Short- and Long-Term Disability Insurance.
Flexible Spending Accounts for medical and dependent care.
Life Insurance.
Educational assistance.
Associate assistance programs for personal and professional well-being.