Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаЧёткая зона ответственностиДанные для AIВысокий порог входа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
VP, Data Strategy & Governance (Healthcare): Defining and operationalizing enterprise data strategy and governance across data quality, lineage, privacy, security, and AI readiness with an accent on enterprise-scale transformation and sensitive data protection. Focus on building governance teams, implementing data platforms and ML/AI-based governance tools, and driving regulatory compliance across complex matrixed organizations.
Location: DFW Airport, TX; other listed locations include Louisville, KY; Chicago, IL; Remote District of Columbia; Remote New York; and Remote Massachusetts.
Company
hirify.global is a U.S. healthcare company providing insurance and healthcare services through hirify.global and CenterWell.
What you will do
Define and own the enterprise data strategy, roadmap, portfolio governance, investment priorities, and measurable business outcomes.
Drive data governance, data quality, metadata, lineage, master data management, access governance, stewardship, and data product adoption across the enterprise.
Build and lead a high-performing organization covering sensitive data governance, data mapping, enrichment, quality, democratization, and program management.
Evaluate and implement data governance platforms, catalogs, marketplaces, quality tools, metadata systems, automated scanning, tagging, and labeling capabilities across on-premises and cloud environments.
Operationalize ML/AI-based governance approaches, including automated lineage discovery, anomaly detection, synthetic data generation, and differential privacy.
Lead data risk management and regulatory compliance, strengthen encryption, tokenization, masking, DLP, and access controls, and provide executive and Board-level reporting.
Requirements
10+ years of senior leadership experience in data governance, data management, or data strategy within large, complex, matrixed corporate environments.
10+ years of hands-on data governance experience across on-premises and cloud-native environments, including AWS, Azure, GCP, or equivalent.
Track record of building and scaling data governance programs from concept through enterprise adoption, with measurable improvements in data quality, compliance, and business outcomes.
Experience managing large, multi-workstream strategic, technology implementation, and organizational transformation programs on time and within budget.
Hands-on experience or leadership responsibility for data catalogs, data lineage platforms, data marketplaces, and data quality frameworks.
Deep expertise in data architecture, data warehousing, data quality processes, enterprise data modeling, and data protection strategies including encryption, tokenization, masking, DLP, and role-based access control.
Working knowledge of cybersecurity assessment methods and data security controls, with experience partnering with CISO and Security or Enterprise Architecture functions.
Familiarity with ML/AI-based data governance, including metadata tagging, anomaly detection, synthetic data, and differential privacy.
Strong command of HIPAA, CCPA/CPRA, GDPR, and related data privacy legislation.
Ability to establish a data product mindset, manage data products through their lifecycle, communicate with C-suite and Board stakeholders, and drive change through influence in matrixed organizations.
Advanced degree required in Computer Science, Data Science, Information Management, Statistics, Mathematics, Law, Cybersecurity, or a related field.
Nice to have
Experience in consumer goods, healthcare, financial services, or technology industries.
Ph.D. in a relevant discipline, MBA, dual technical/business or legal degrees, or professional certifications such as CDMP, CIPP, CISM, CISSP, or cloud data platform certifications.
Culture & Benefits
Full-time schedule with 40 scheduled weekly hours.
Work involves collaboration across Technology, Cybersecurity, Legal, Compliance, Finance, and business units.
Role emphasizes inclusive, high-trust data culture, data literacy, ethical data use, continuous learning, and accountability.
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