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Personify Health is looking to simplify and personalize the health experience to improve health and reduce costs for companies and their people by unlocking business value and competitive advantage through data strategy.

Requirements

• 15+ years of experience in data governance, data architecture, or enterprise data management, with at least 5 years in a senior leadership role.
• Proven track record of leading large-scale data transformation programs.
• Deep expertise in data governance frameworks, data privacy, and data compliance standards
• Experience with data cataloging, master data management, and metadata management tools
• Deep understanding of data governance, frameworks, data stewardship models, and regulatory requirements (GDPR, CCPA, & HIPPA)
• Solid understanding of data privacy laws, cybersecurity principles related to data, and integration of data security in architecture
• Strategic thinking with the ability to translate vision into execution

Responsibilities

• Drive value through the day-to-day processing of required business, product, financial, customer, commercial, operational, and clinical data. Load files, process transactions, and ensure all EDI interfaces function.
• Collect, integrate, and store data and metadata from across the organization, ensuring clean and available data for all users and applications, including client and member facing portals and tools. Ensure that master data is consistent and available. Drive self-service, collaboration, and access to data.
• Establish data standards, policies, and procedures to promote data quality, consistency, and stewardship across business units.
• Develop and lead the enterprise-wide data governance strategy, ensuring data integrity, security, privacy, and compliance with regulatory requirements.
• Design and oversee the implementation of modern, scalable data architecture that supports analytics, AI/ML, and business intelligence initiatives.
• Partner with technology, security, legal, and business leaders to align data initiatives with business objectives and risk frameworks.
• Establish, run, and monitor a proactive system to ensure accurate and clean data across all data domains. Ensure that validation, cleansing, and measurement policies are in place and functioning.

Other

• Ability to influence at the C-Suite and board level
• Exceptional leadership, communication, and stakeholder engagement skills
• Collaborative mindset with a focus on building enterprise-wide alignment
• Ability to design data environments that support BI, analytics, and AI Initiatives
• Strong change management and organizational transformation capabilities