Data + AI Enablement Senior Director

Releady; Phoenix (AZ); On-site; USD 175,000 - 200,000; Full time

Job summary

Releady is seeking a Data & AI Enablement Senior Director to lead strategy and execution of enterprise data capabilities that drive insight, scale, and informed decision-making.

The role focuses on modernizing data foundations, governance, and enabling analytics and AI-driven capabilities via trusted data, with collaboration across technology and business teams to achieve measurable outcomes and sustainable adoption.

Qualifications

• Master’s degree or higher in information systems, computer science, data science, analytics, or related field, or equivalent experience.
• 8+ years of progressively responsible experience in data, analytics, or related technology domains.
• 5+ years leading teams or enterprise-scale programs.
• Deep knowledge of enterprise data management, analytics, and modern data platforms.
• Strong understanding of data governance, privacy, security, and responsible technology practices.
• Proven ability to translate strategy into execution and drive organizational change.
• Excellent communication and stakeholder-management skills.

Responsibilities

• Define and execute the enterprise data and analytics strategy, ensuring data platforms and practices are scalable, secure, and reliable.
• Lead the modernization of data architecture, integration patterns, and platforms to improve data quality, accessibility, and usability.
• Establish and govern an enterprise approach to data products, reporting, and analytics, enabling self-service while maintaining strong standards.
• Advance data governance, stewardship, privacy, and risk management practices across the organization.
• Enable responsible use of advanced analytics and AI capabilities built on trusted data foundations.
• Partner with cross-functional teams across technology, security, legal, operations, and business units to align data initiatives with organizational priorities.
• Drive adoption and organizational change through communication, training, and practical enablement of data-driven ways of working.
• Translate complex data strategies and outcomes into clear, actionable insights for executive and senior leadership.
• Define and track metrics related to data quality, platform performance, analytics adoption, and business impact.
• Stay current on best practices and emerging trends in data management, analytics, and AI enablement, incorporating innovation in a thoughtful, risk‑aware manner.
• Lead, develop, and mentor a high-performing data organization, fostering a culture of accountability, collaboration, and continuous improvement.
• Oversee budgets, resource planning, and delivery for complex, multi-year data and analytics initiatives.

Skills

Leadership

Strategic thinking

Stakeholder management

Excellent communication

Change management

Education

Master's degree or higher

Tools

Cloud platforms

Data integration

Governance tools

Job description

OVERVIEW

The Data & AI Enablement Senior Director leads the strategy and execution of enterprise data capabilities that enable insight, scale, and informed decision-making. This role is responsible for building and modernizing data foundations, strengthening governance and trust, and enabling analytics and AI-driven capabilities through high-quality, well-managed data.

The ideal leader balances long-term vision with hands-on execution, partners effectively across technical and business teams, and focuses on measurable outcomes, adoption, and sustainability. AI is viewed as an extension of data maturity and analytics—not a standalone function.

Salary: $175,000 - $200,000 DOE + relocation if needed

RESPONSIBILITIES

• Define and execute the enterprise data and analytics strategy, ensuring data platforms and practices are scalable, secure, and reliable.
• Lead the modernization of data architecture, integration patterns, and platforms to improve data quality, accessibility, and usability.
• Establish and govern an enterprise approach to data products, reporting, and analytics, enabling self-service while maintaining strong standards.
• Advance data governance, stewardship, privacy, and risk management practices across the organization.
• Enable responsible use of advanced analytics and AI capabilities built on trusted data foundations.
• Partner with cross-functional teams across technology, security, legal, operations, and business units to align data initiatives with organizational priorities.
• Drive adoption and organizational change through communication, training, and practical enablement of data-driven ways of working.
• Translate complex data strategies and outcomes into clear, actionable insights for executive and senior leadership.
• Define and track metrics related to data quality, platform performance, analytics adoption, and business impact.
• Stay current on best practices and emerging trends in data management, analytics, and AI enablement, incorporating innovation in a thoughtful, risk‑aware manner.
• Lead, develop, and mentor a high-performing data organization, fostering a culture of accountability, collaboration, and continuous improvement.
• Oversee budgets, resource planning, and delivery for complex, multi-year data and analytics initiatives.

QUALIFICATIONS

Required

• Master’s degree in a relevant field (e.g., information systems, computer science, data science, analytics, or a related discipline), or equivalent experience.
• 8+ years of progressively responsible experience in data, analytics, or related technology domains.
• 5+ years of experience leading teams or complex, enterprise-level programs.
• Deep knowledge of enterprise data management, analytics, and modern data platforms.
• Strong understanding of data governance, privacy, security, and responsible technology practices.
• Proven ability to translate strategy into execution and drive organizational change.
• Excellent communication and stakeholder-management skills.

Preferred

• Experience leading enterprise data or analytics organizations in large, complex environments.
• Demonstrated success enabling advanced analytics or AI-driven capabilities through strong data foundations.
• Experience driving organization-wide data adoption and data-driven decision‑making.
• Familiarity with cloud‑based data ecosystems and modern data architecture patterns.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non‑merit factor. We are committed to creating a diverse and inclusive environment for all employees.