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SMBC Group · 1 day ago

Cyber Data Governance & Data Quality Lead

Charlotte, NC

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

SMBC Group is a top-tier global financial group offering a diverse range of financial services. The Cyber Data Governance & Data Quality Lead will be responsible for leading the Data Governance & Data Quality team, focusing on building security and risk data platforms for the Cybersecurity Data Lakehouse while ensuring effective data governance and quality metrics.

AdviceBankingFinancial Services

H1B Sponsor Likely

Responsibilities

Operate as the Federated Data Officer for ISDAD. Analyze data sources, data dictionaries, business glossary, data mappings, ETL processes and data within CyberDW to understand their structure, relationships, dependencies to quantify and document the data quality rules, controls and lineage around the key data elements (KDEs)

Partner with the data owners and stakeholders to create KDEs and DQ rules needed for CyberDW data. Partner with the Data Owners and Data Stewards to understand what critical metrics and data fields are needed for Metric Dashboards

Creation of technical requirements for implementation and maintenance of DQ rules in the Collibra Data Quality (CDQ) platform and KDEs in the Collibra Data Intelligence platform. Partner with Technology and DQ Managers to ensure KDEs are governed by DQ Rules across various DQ dimensions of accuracy, completeness, uniqueness, timeliness, validity and consistency. Support reporting on data quality metrics and trends

Perform data validations and reconciliations to assess validity and effectiveness of the DQ rules, conduct QA and UAT, create and maintain detailed test plans, execute test cases, and test scripts to validate CDQ results

Establish QA governance frameworks with clear accountability, traceability, and reporting across all test cycles

Lead the QA Testing efforts that will design and execute test cases for CyberDW. Identify, report, and track defects as well as participate in creating and maintaining regression test plans, cases, and scripts using Xray in Jira

Design, develop, and test CyberDW ETL feeds focusing on data ingestion and data quality. Create scripts and test plans to ensure that the raw data is transformed, processed, and stored correctly. Work with the development teams and participate in daily scrum calls adhering to an agile SDLC framework

Drive the adoption of test management tools to ensure complete coverage and defect traceability. Leverage modern test harnesses, CI/CD pipelines, and AI-driven test frameworks for smarter, faster, and more reliable validation

Utilize production job scheduling systems for the DQ and QC processes and adhere to standards around the daily scheduling and batch monitoring of production jobs

Qualification

Data GovernanceData Quality ManagementSQLETL ProcessesCollibraPythonDevOpsAzure ServicesJIRAAnalytical SkillsProblem Solving

Required

Bachelor's degree in computer science, Information Security, Data Management, or related field

10+ years' experience in IT development, data governance, data analyst or related roles, preferably in a highly regulated environment such as financial services

Hands-on experience in data management & governance tools (e.g., Collibra DIP/DQIM/DQE). Strong prior experience with Data Profiling, KDE and DQ Rule creation along with the ability to identify patterns and detect statistical anomalies in datasets is highly preferred

Hands-on experience in SQL queries and understanding of ETL processes. Proficient in Python, PySpark, Java or similar high-level server-side languages for scripting QA and alert processing

Familiarity with DevOps and CI/CD pipelines (Jenkins, GitLab, Azure DevOps)

Experience with JIRA, Xray, REST API web services and microservice architecture

Knowledge of enterprise Information Security data (i.e., Phishing, Identity Management, Privileged Access, Cloud Security, Incident Response, Vulnerability Management, Threat Detection)

Strong problem solving and analytical skills, with an initiative-taking and results-oriented approach

Preferred

Strong prior experience with Data Profiling, KDE and DQ Rule creation along with the ability to identify patterns and detect statistical anomalies in datasets is highly preferred

Experience with Azure cloud services, Azure Data Factory, Gen 2, Azure Databricks is a plus

Knowledge of IBM Tivoli Workload Scheduler a plus

Exposure to PowerBI for data visualization and reporting is a plus

Company

SMBC Group

Glassdoor3.5

SMBC Group is a top-tier global financial group.

Founded in 1590

New York, New York, USA

10001+ employees

https://www.smbcgroup.com/americas

H1B Sponsorship

SMBC Group has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (160)

2024 (87)

2023 (73)

2022 (44)

2021 (29)

2020 (26)