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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Data Governance Analyst (Data Governance/SQL): Advancing data governance and data product enablement across Middle Office and Order to Cash business domains with an accent on data analysis, stewardship, compliance controls, and stakeholder enablement. Focus on activating governance operating models, validating data quality and control effectiveness, and building reusable training, catalog, and data-product capabilities.
Location: Findlay, Ohio, with additional locations in Houston and San Antonio, Texas.
Salary: Not specified.
Company
hirify.global is an energy industry company with an enterprise Digital organization and data governance function.
What you will do
Advance data governance and data product enablement across Middle Office and Order to Cash business domains.
Stand up governance operating models, facilitate domain activation, assess maturity, and develop improvement roadmaps.
Develop business and data understanding through SQL profiling, grain/key/join analysis, business-rule validation, reconciliation, and evidence-based investigation.
Coach Data Stewards, facilitate decisions, create walkthroughs and train-the-trainer materials, and support data literacy.
Translate business, policy, and compliance needs into data, platform, governance, and data-product capabilities.
Map requirements to platform controls, evaluate design and operating effectiveness with control owners, and support remediation, audits, and escalations.
Requirements
Bachelor’s degree in Information Technology, a related field, or equivalent experience.
Seven or more years of relevant experience, including architecture experience.
Hands-on data analyst experience using SQL for profiling, joins, grain/key analysis, reconciliation, quality investigation, and translating business concepts and rules into defensible analytical answers.
Experience working with business stakeholders on processes, systems, and data needs; facilitating governance activation or comparable operating-model/change initiatives; and sustaining progress across multiple workstreams or domains.
Experience training, facilitating decisions, coaching others, influencing without direct authority, translating technical concepts into business language, and preparing practical demonstrations or reusable training materials.
Experience applying metadata, lineage, quality, stewardship, and issue-management practices and translating business needs into reusable data-product requirements and value opportunities.
Experience translating policy or compliance requirements into data/platform controls, identifying accountable owners, reviewing effectiveness evidence, and facilitating audit or control-remediation discussions.
Knowledge of data classification, cleansing, ethics, governance frameworks and communication, privacy, quality management, stewardship, IAM, and MDM.
Nice to have
Experience with Databricks and Unity Catalog, Microsoft Purview or comparable catalog tools, BigEye or comparable observability tools, and master data management platforms.
Experience supporting regulated or restricted-data environments, collecting customer feedback, or improving governance training, templates, accelerators, and AI-enabled workflows.
Culture & Benefits
Collaborative environment that welcomes new ideas, diverse perspectives, professional development, and knowledge sharing.
Regular employment with full-time status and a total rewards program.
Health, vision, and dental insurance, paid time off, paid parental leave, and 401(k) matching.
Educational reimbursement and eligibility for a discretionary company-sponsored annual bonus.
Equal opportunity employment and reasonable accommodation support during the application process.
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