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VP, Enterprise Data Management The Orthopaedic Institute. Location Information: REMOTE EMPLOYEE. Job TypeFull-timeDescription. POSITION OVERVIEW. We are seeking a visionary and pragmatic leader to architect our enterprise data ecosystem and spearhead our analytics strategy from conception through execution. The ideal candidate is an experienced data leader who possesses a strong strategic vision coupled with demonstrable hands-on technical experience. This enterprise role is responsible for designing scalable data architecture, establishing foundational data governance and management practices, defining clear analytics priorities and standards, and building/leading a high-performing data team. You will be instrumental in transforming data into a trusted, accessible, and strategic asset that drives critical business decisions, operational efficiency, and innovation across the company, fostering a data-informed culture. This role reports to the Chief Technology Officer and will work closely with other business analytics consumers.. ESSENTIAL FUNCTIONS INCLUDE, BUT ARE NOT LIMITED TO. Strategic Leadership & Roadmap:. Develop, articulate, and drive the comprehensive enterprise data and analytics strategy and roadmap, ensuring alignment with overall business objectives. Champion a data-driven culture throughout the organization.. Data Architecture Design & Oversight:. Lead the design, implementation, and evolution of the enterprise data architecture, including data models, data warehousing/lake solutions, integration patterns, and technology platform selection (Cloud focus: AWS/Azure/GCP). Ensure architecture supports scalability, reliability, performance, and security.. Governance Framework Implementation:. Architect and operationalize data governance framework encompassing policies, standards, processes, data quality controls, metadata management, and master data management (MDM) principles. Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) in collaboration with legal/security teams. Establish and chair a Data Governance committee.. Data Management Practices:. Establish and enforce data lifecycle management, governance policies, standards, and procedures. Oversee the development and implementation of data quality monitoring and remediation, data definition standardization, and data lineage, and initiatives to ensure data accuracy, completeness, and consistency. Lead Master Data Management (MDM) and Reference Data Management strategies and implementations. Define and manage data security classifications, access controls, and privacy compliance (e.g., GDPR, CCPA) in collaboration with security and legal teams. Oversee data lifecycle management, including data retention and archival policies. . Data Visualization: . Possesses strong data visualization skills to design, develop, and maintain insightful, actionable dashboards and reports using tools like Tableau or Power BI. This includes translating complex data into compelling visual stories, applying analytical interpretation to identify trends through visualization, adhering to design best practices for clarity and impact, and preparing data for accurate visual representation.. Analytics Enablement & Prioritization:. Develop and manage a transparent framework for prioritizing analytics initiatives based on business value. Define standards for key business metrics/KPIs and promote consistent reporting/analytics practices. Oversee the strategy for delivering actionable insights via BI tools and analytics techniques.. Team Leadership & Development:. Develop, mentor, and lead an enterprise team of data professionals (e.g., architects, engineers, analysts, stewards), fostering a collaborative and high-performance environment.. · . Stakeholder Collaboration & Communication: . Act as the primary point of contact for senior leadership and business units regarding data strategy, architecture, management, and analytics. Collaborate closely with IT infrastructure, application development, security, and business departments to understand their data needs and ensure alignment. Translate complex technical concepts into clear, understandable terms for non-technical stakeholders. Champion data literacy across the organization.. Implement Data Management Practices:. Oversee the implementation of data quality rules, metadata management, master data definitions, and data lineage tracking.. Drive Standardization:. Establish standard definitions for key business metrics and KPIs. Promote the adoption of standard analytics tools, technologies, and reporting practices where appropriate.. Facilitate Cross-Functional Collaboration:. Work closely with IT, data engineering, business units, and leadership to understand needs, define requirements, and ensure alignment on data initiatives.. Oversee Initial Implementations:. Guide the initial rollout and adoption of governance processes, data standards, and prioritized analytics projects. Requirements. Required Qualifications:. Bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related quantitative field.. 7- 10+ years of progressive healthcare/ambulatory experience across data architecture, data management/governance, and business intelligence/analytics.. 3- 5+ years in a leadership role with proven experience building, managing, and mentoring data teams.. Demonstrated success in developing . and implementing. enterprise-level data strategies, governance frameworks, and data architectures, preferably from the ground up.. Strong understanding of data modeling, data warehousing/lakes, . ETL. /ELT, data integration patterns, and MDM concepts.. Experience with major cloud data platforms (AWS, Azure, or GCP).. Solid knowledge of data governance principles, data quality methodologies, and regulatory compliance related to data.. Familiarity with BI & visualization tools (e.g., Power BI, Tableau, Looker) and SQL proficiency.. Exceptional strategic thinking, problem-solving, communication, influencing, and stakeholder management skills.. Proven ability to lead change and drive adoption of new processes and technologies.. Experience within healthcare/ambulatory practice . Hands-on experience with specific data governance or MDM tools. Preferred Qualifications:. Master's degree in Computer Science, Data Science, Analytics, Business Analytics, or a related field.. Relevant certifications (e.g., CDMP, TOGAF, Cloud Architect).. Experience with advanced analytics or machine learning concepts.. KEY CHARACTERISTICS. Team Player:. Ability to work co-operatively and collaboratively with all levels of employees, management, and external customers to maximize performance and problem-solving. Integrity & Accountability:. Unwavering commitment to doing what is right and upholding ethical standards. Strategic Thinking:. Ability to assess complex regulatory environments and develop proactive, practical solutions. Collaborative Leadership:. Adept at building relationships across departments and working with diverse stakeholders. Detail-Oriented:. Maintains precision in documentation, auditing, and policy development. Change Agent:. Ability to lead and motivate others; comfort in navigating change and driving compliance culture in a growth-oriented environment. Effective Communicator:. Excellent communication skills, both verbal and written. PHYSICAL REQUIREMENTS. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function.. · Specific vision requirements include the ability to see at close range, distance vision, peripheral vision, depth perception, and the ability to adjust focus.. · While performing the duties of this job, the employee is regularly required to talk and hear.. · Possess the ability to fulfill any office activities normally expected in an office setting, to include, but not limited to: remaining seated for periods of time to perform computer based work, participating in filing activity, lifting and carrying office supplies (paper reams, mail, etc.). · Frequently required to stand, walk, sit, use hands to feel, and reach with hand and arms. · Occasionally lift and/or move up to 20-25 pounds.. · Fine hand manipulation (keyboarding).. · Travel may be required to existing or new OCP locations.. .