Director, Data & Analytics Enablement

This is a fully remote position, open to applicants in Texas.

📋 Description

• Take ownership of and enhance the enterprise data and analytics strategy, priorities, and multi-quarter roadmap to align with business outcomes and measurable value realization.

• Establish and oversee a centralized data and analytics operating model, which encompasses intake, prioritization, delivery planning, funding coordination, and executive governance routines.

• Define the organizational standards, operating rhythms, and success metrics for enterprise analytics delivery.

• Act as a trusted advisor to executive leadership on matters related to data, analytics, reporting modernization, and AI-driven business capabilities.

• Lead cross-functional efforts across data engineering, data platform, analytics, and reporting teams to ensure scalable and reliable delivery.

• Propel enterprise adoption of a cloud lakehouse architecture utilizing Microsoft Azure technologies, including Azure Fabric and modern analytics platforms.

• Establish and enforce reusable data patterns, semantic models, metadata standards, scalable data products, and documentation protocols.

• Collaborate with infrastructure and security teams to guarantee governance, scalability, resilience, and compliance across enterprise data services.

• Stabilize and modernize enterprise reporting by promoting consistent metrics, reliable semantic definitions, and standardized reporting practices across Power BI, Excel, and other enterprise reporting tools.

• Minimize duplicate reporting, inconsistent KPIs, and manual reporting processes by instituting centralized governance and delivery standards.

• Define and monitor analytics performance metrics that include:

• Adoption and utilization

• Delivery cycle time

• Data quality and reliability

• Self-service enablement

• Business value realization

• Establish and manage enterprise delivery governance, steering committees, prioritization frameworks, and escalation paths.

• Build team capacity and capability through coaching, role clarity, partner/vendor management, and improvements in operational maturity.

• Develop scalable intake and prioritization models that balance strategic initiatives, operational support, and business demand.

• Collaborate closely with business stakeholders to align technical execution with enterprise priorities and measurable outcomes.

• Partner with security, architecture, and business teams to outline the enterprise roadmap for AI-enabled productivity tools and workflow-integrated copilots.

• Support the governed and practical adoption of AI capabilities aimed at enhancing operational efficiency and enabling business success.

• Assess emerging technologies and analytics capabilities that enhance enterprise reporting, automation, and decision support.

⛳️ Requirements

• Bachelor’s Degree from an accredited university.

• At least 10 years of progressive leadership experience in enterprise data, analytics, business intelligence, or related technology domains.

• A minimum of 5 years of demonstrated leadership experience in managing teams and constructing scalable organizational structures.

• Proven success in building or transforming enterprise-scale data and analytics functions.

• Strong leadership experience in enterprise data strategy, roadmap development, and initiatives focused on value realization.

• Demonstrated capability to influence senior leaders and drive alignment across cross-functional organizations.

• In-depth understanding of:

• Modern data platforms and lakehouse architectures

• Semantic modeling principles

• Governance of enterprise reporting and analytics

• Data engineering and analytics delivery methodologies

• Experience implementing trusted semantic approaches and enhancing consistency in enterprise reporting metrics and definitions.

• Hands-on experience with Azure-based analytics ecosystems, including Power BI and Microsoft Fabric.

• Excellent communication and executive presentation skills, with the ability to translate business priorities into technical delivery outcomes.

• Experience in developing operational governance models, prioritization processes, and enterprise delivery rhythms.

• Proven ability to lead through influence in matrixed enterprise environments.

• Strategic thinker with a strong operational execution discipline.

• Collaborative and highly influential across both technical and business teams.

• Strong organizational leadership and change management skills.

• Customer and business outcome-oriented.

• Data-driven decision maker.

• Comfortable functioning in fast-paced, evolving enterprise settings.

• Strong balance between innovation, governance, and practical execution.

🏝️ Benefits

• Comprehensive medical, dental, and vision plans for you and your dependents.

• 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability.

• Competitive Compensation.

• Training and development programs.

• Major offices stocked with snacks and beverages.

• A collaborative and engaging culture.

• Work-life balance and generous paid time off.