About the role

Data Governance Engineer implementing data quality monitoring and governance operations for cyber datasets at Fiserv. Collaborating with security operations and cyber stakeholders to improve data quality.

Responsibilities

Operationalize the data governance framework with data quality gates, issue intake channels, triage service-level agreements (SLAs), and remediation playbooks for cyber datasets.
Partner with data stewards to define priority domains, accountable owners, and critical data element (CDE) quality expectations and document them in the data catalog.
Inventory and rationalize reports and dashboards based on data quality impact and business criticality, and drive remediation plans.
Deliver quick-win analytics pilots by validating and assuring dataset quality for production use.
Implement enterprise data quality monitoring integrated with Google BigQuery, Talend, and the metadata catalog.
Build and support standardized key performance indicator (KPI) dashboards by ensuring datasets meet defined data quality SLAs.
Expand self-service business intelligence (BI) adoption by defining quality SLAs, creating runbooks, and delivering training for tools such as Microsoft Power BI and Looker.
Collaborate with data science and engineering teams to ensure models use quality-gated inputs and have ongoing data quality monitoring.

6+ years of experience in data quality, data engineering, or data governance operations for analytics, risk, or cyber telemetry datasets.
6+ years of experience writing advanced SQL and implementing monitoring, alerting, and remediation workflows integrated into CI/CD pipelines or scheduled data pipelines.
4+ years of experience implementing or supporting data quality and testing frameworks with platforms such as Google BigQuery and Talend.
4+ years of experience inventorying and assessing dashboards and reports, and prioritizing data quality remediation based on business impact.
3+ years of experience running incident intake and triage processes, performing root-cause analysis, and driving data quality remediation to closure.
Skills in collaborating with cross-functional teams (for example, SOC, detection engineering, compliance, and data science) to translate requirements into data quality controls and operational processes.
Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, Cybersecurity, Data Analytics, or related field, or equivalent combination of education, related experience and/or military experience.

Fuel Your Life program to support your physical, financial, social, and emotional well-being.
Paid holidays and generous time away policies.
No-cost mental health support through Employee Assistance Programs.
Living Proof program to recognize your peers’ extra effort with points redeemable for rewards.
Eight Employee Resource Groups to foster a collaborative culture and expand your network.
Unparalleled professional growth with training, development, and internal mobility opportunities.
Medical, dental, vision, life, and disability insurance options available from day one.
Retirement planning and discounted shares with the Employee Stock Purchase Plan.
Tuition assistance and reimbursement program.
Paid parental, caregiver, and military leave.