Director of Data Management

Art and Wellness Enterprises•Bentonville, AR

4d•Onsite

About The Position

The Director of Data Management leads efforts to advance the collection, accessibility, quality, consistency, and governance of data across systems supporting Art and Wellness Enterprises (AWE) and its portfolio of organizations in healthcare, arts, education, and philanthropy. The position works across functional teams to architect and maintain solutions and implement strategies that support business operations and analytics. Combining hands-on technical work with strategic leadership, the Director partners with finance, AI, business, and other stakeholders to shape how data is captured, structured, and used across the ecosystem. The role ensures data systems are maintained and secure and that data strategy supports business processes, technology development, system integrations, business intelligence, and analytics. The Director establishes and leads a data management function, develops enterprise data strategy and architecture, and advances governance, data quality, master data management, metadata, lineage, and stewardship. The role translates business priorities into roadmaps, builds alignment across teams and senior leadership, oversees a high-performing team, and balances long-term strategy with hands-on execution. This is an on-site position in Bentonville, Arkansas. Work is performed Monday through Friday, 8 a.m. to 5 p.m., in a professional, climate-controlled office near colleagues. Some travel and a flexible schedule to accommodate business needs, including occasional evening and weekend hours, are required.

Requirements

Bachelor’s degree in information systems, computer science, or a related field.
8–10+ years of progressively responsible experience in data management, data governance, and/or data architecture, including at least 5 years of functional leadership within a centralized analytics function.
5–7+ years of progressive leadership experience leading and developing teams, including direct responsibility for staff supervision, performance management, coaching, and professional development.
Demonstrated experience designing and implementing enterprise data strategies, architectures, governance frameworks, and operating models.
Experience leading cross-functional data initiatives across multiple systems and complex organizational environments.
Hands-on experience with data platforms such as Snowflake.
Experience with ERP, CRM, and data integration across cloud and on-premises environments.
Strong understanding of data governance, data modeling, and metadata management.
Strong leadership, project management, and stakeholder engagement skills.
Ability to translate business priorities into data strategies, actionable roadmaps, and measurable outcomes.
Ability to assess complex data and architecture issues, evaluate options and tradeoffs, and apply sound judgment to strategic and operational decisions.
Ability to balance long-term strategic direction with hands-on technical execution and oversight of multiple initiatives.
Working knowledge of data requirements for AI-enabled workflows and analytics, including data quality, accessibility, integration, and governance.
Ability to lead through influence rather than direct authority, build consensus, and align stakeholders across functional teams and senior leaders.
Excellent communication skills, including the ability to translate technical concepts for non-technical audiences at different organizational levels.
High integrity and discretion in handling confidential and organizational information.
Ability to work independently and collaboratively in a multidisciplinary environment.
Ability to remain focused and steady in fast-paced environments with competing demands, including periods of transition, uncertainty, or operational strain; adaptability and resilience.
Ability to use a computer and telephone for prolonged periods, with good hand-eye coordination, bending and stretching, and stamina to lift and transport a minimum of 10 pounds.
Visual acuity to review written materials.
Ability to work on-site in Bentonville, Arkansas, and undertake some travel; occasional evening and weekend hours may be required.
Successful completion, where permitted by state law, of a confidentiality agreement and background check, and provision of proper identification verifying eligibility to work in the United States.

Nice To Haves

Master’s degree preferred.
Experience working in regulated, compliance-driven, or audit-sensitive environments preferred.

Responsibilities

Define and implement an enterprise-wide data management strategy aligned with business goals and best practices.
Build out the data management function, including its mission, structure, and operating model.
Establish foundational capabilities in data governance, data quality, and master data management.
Drive adoption of master data standards, business rules, and taxonomies to support complete, accurate, consistent, and timely data.
Lead cross-functional initiatives to improve data quality, accessibility, and usability, and champion data as a strategic asset.
Partner with Compliance, Privacy, Legal, and business stakeholders to establish data governance, security, access, retention, and data-sharing standards.
Maintain and improve enterprise data architecture in alignment with business strategy, finance, and organizational needs.
Identify tools that may optimize current processes and govern enterprise data architecture, integration, security, and data management standards.
Lead integration of solutions with enterprise applications, including ERP and CRM systems.
Establish and maintain documentation standards for data architecture, integrations, definitions, and governance decisions.
Oversee metadata management, data lineage, and stewardship programs.
Translate strategic data initiatives into actionable roadmaps with milestones, KPIs, and ownership; monitor and optimize performance and ensure SLA adherence.
Provide training and promote data literacy and adoption of data management standards, tools, and practices.
Build stakeholder relationships and partner with finance and business units to align data initiatives with operational needs.
Partner with AI and relevant stakeholders to ensure data quality, accessibility, integration, and governance support AI-enabled workflows and analytics.
Communicate data strategy and impact to senior executive stakeholders.
Set expectations, priorities, and accountability measures for the team; lead, coach, and develop team members.
Promote continuous improvement, professional development, collaboration, and engagement within the team.
Support recruitment, onboarding, and training of new team members.
Monitor and manage team performance, addressing attendance, conduct, or productivity issues promptly and professionally.
Perform other duties and responsibilities as assigned to support evolving organizational needs.