Director of Data Management

Art and Wellness Enterprises•Bentonville, AR

3d•Onsite

About The Position

The Director of Data Management leads efforts to improve data collection, accessibility, quality, consistency, and governance across the systems supporting Art and Wellness Enterprises (AWE) and its portfolio of organizations in healthcare, arts, education, and philanthropy. The role combines strategic leadership with hands-on technical work, partnering with finance, AI, business, and other stakeholders to shape how data is captured, structured, secured, and used for business operations, innovation, business intelligence, and analytics. The Director defines and implements an enterprise-wide data management strategy; builds the data management function and its operating model; and establishes capabilities in governance, quality, and master data management. The position oversees data architecture, integrations, standards, metadata, lineage, stewardship, and service performance, while developing roadmaps, KPIs, documentation, and training to strengthen data literacy and adoption. The role builds alignment across functional teams and senior leaders, supports data needs for AI-enabled workflows and analytics, and leads, coaches, and develops a high-performing team. It is based on-site in Bentonville, Arkansas, Monday through Friday, 8 a.m. to 5 p.m., in a professional, climate-controlled office. Some travel and a flexible schedule may be necessary, including occasional evening and weekend work.

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, build consensus, and align stakeholders across functional teams and senior leaders.
Excellent communication skills, including the ability to explain technical concepts to non-technical audiences at varying 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 amid competing demands, transition, uncertainty, or operational strain, and to remain adaptable and resilient in a fast-paced, changing environment.
Ability to use a computer and telephone for prolonged periods, with good hand-eye coordination, bending and stretching, and stamina to lift and transport at least 10 pounds.
Visual acuity to review written materials.
Ability to interact professionally and courteously with the public and internal team members.

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 improve data completeness, accuracy, consistency, and timeliness.
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 continuously improve enterprise data architecture in alignment with business, finance, and organizational needs.
Identify tools that may optimize current processes and establish standards for data architecture, integration, security, and management.
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.
Build and oversee metadata management, data lineage, and stewardship programs.
Translate strategic initiatives into actionable roadmaps with milestones, KPIs, and ownership; monitor and optimize performance and ensure SLA adherence.
Provide training on enterprise data and tools and promote data literacy and adoption of data management 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 team engagement.
Support recruitment, onboarding, and training of new team members; monitor team performance and address attendance, conduct, or productivity issues.
Perform other duties and responsibilities as assigned to support evolving organizational needs.