Data Governance Architect - Principal

Parkland Health

About The Position

The Principal Data Governance Architect leads the design, implementation, and management of enterprise-wide data governance frameworks and initiatives. The role helps ensure data integrity, security, and accessibility across the organization by collaborating with cross-functional teams to establish data standards, policies, and best practices. It drives the strategic use of data in support of business goals and compliance requirements, provides data governance thought leadership, and fosters a culture of data stewardship and continuous improvement. The position develops and implements data governance strategy, policies, procedures, and practices; supports data architecture and management; oversees governance projects, tools, and metrics; and guides stakeholders on governance best practices. It also leads stewardship, training, and ongoing improvement efforts, while monitoring relevant regulatory requirements and industry developments.

Requirements

Bachelor’s degree or higher in Computer Science, Business Administration, Healthcare Administration, or a related field; a master’s degree is preferred.
At least eight years of application/analytics experience in a relevant analytics or technology environment, demonstrating a combination of report/dashboard development, project management, master data management, data governance, compliance/regulatory work, and data architecture.
Proficiency in data management disciplines, including data quality, data lineage, metadata management, and master data management.
In-depth knowledge and experience with data governance frameworks, principles, and best practices.
Strong background in data architecture, including designing and implementing data models and data integration solutions.
Excellent verbal and written communication skills to articulate data governance concepts and influence stakeholders at all levels.
Strong collaboration and interpersonal skills to work with cross-functional teams, including IT, legal, compliance, and business units.
Experience in change management and fostering a data-driven culture.
Experience with strategic planning and aligning data governance initiatives with business objectives.
Proven experience developing and maturing a multifaceted data governance program across an analytics community, driving standards and compliance.
Ability to communicate clearly and precisely with peers, supervisors, partners, vendors, and customers.
Exceptional meeting facilitation skills and ability to engage and influence senior-level stakeholders.
Ability to work with customers and partners across the organization to define problem statements and articulate alternative solutions for consensus and approval.
Knowledge of word processing, email, spreadsheet, presentation, or workflow products.
Hands-on experience implementing data governance programs, including centers of excellence, role definition, policy development, and process review and creation.

Nice To Haves

Project or account management certifications, such as PMP or BRMP.
EMR certifications, such as Epic Cogito Fundamentals.
Experience with data governance software such as Microsoft Purview, Epic Analytics Catalog, Alation, or Alteryx.
Experience with Structured Query Language (SQL).
Experience with Epic tools or other EMR systems.
Experience implementing reporting or interactive dashboards.
Experience with advanced analytics, AI, machine learning, or data science.

Responsibilities

Develop and implement an enterprise-wide data governance strategy and framework.
Establish and enforce data governance policies, standards, and procedures, including project intake, metadata capture, retention, and utilization.
Ensure compliance with regulatory requirements and industry standards for data management and protection.
Design and maintain data architecture and data management practices, including data models, data quality, data lineage, and metadata management.
Collaborate with cross-functional teams to align data governance initiatives with business goals and objectives.
Lead data governance projects through planning, execution, and monitoring to support timely, successful delivery.
Monitor and report data governance metrics and KPIs to track progress and identify improvement opportunities.
Provide stakeholders with guidance and expertise on data governance best practices.
Conduct data governance training and awareness programs to promote a data-driven culture.
Manage data governance tools and technologies.
Address data governance issues and challenges by providing solutions and recommendations.
Foster relationships with IT, legal, compliance, and business unit stakeholders.
Lead data stewardship efforts and ensure data owners and stewards are accountable for data quality and integrity.
Continuously assess and improve data governance processes and practices.
Stay current with trends and advancements in data governance and related technologies.
Identify opportunities to improve work processes and customer satisfaction; recommend improvements to a supervisor and implement and monitor results as appropriate.
Maintain knowledge of applicable rules, regulations, policies, laws, and guidelines; develop internal controls that promote adherence to applicable laws, accreditation requirements, and health plan requirements; seek guidance as needed.
Stay abreast of developments in the field through professional learning and activities, and integrate relevant knowledge into current work practices.