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Trace3

Director, Data & Analytics Enablement

Trace3

Director of Data & Analytics Enablement at Trace3 defining and executing enterprise data strategy to deliver business value. Collaborating with teams to improve analytics capabilities using Azure technologies.

Posted 6/5/2026full-timeRemote • Texas • 🇺🇸 United StatesLead💰 $170,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Own and evolve the enterprise data and analytics strategy, priorities, and multi-quarter roadmap aligned to business outcomes and measurable value realization.
  • Establish and lead the centralized data and analytics operating model, including intake, prioritization, delivery planning, funding coordination, and executive governance routines.
  • Define organizational standards, operating cadences, and success metrics for enterprise analytics delivery.
  • Serve as a trusted advisor to executive leadership on data, analytics, reporting modernization, and AI-enabled business capabilities.
  • Lead cross-functional execution across data engineering, data platform, analytics, and reporting teams to ensure scalable and reliable delivery.
  • Drive enterprise adoption of a cloud lakehouse architecture leveraging Microsoft Azure technologies, including Azure Fabric and modern analytics platforms.
  • Define and enforce reusable data patterns, semantic models, metadata standards, scalable data products, and documentation practices.
  • Partner with infrastructure and security teams to ensure governance, scalability, resiliency, and compliance across enterprise data services.
  • Stabilize and modernize enterprise reporting by driving consistent metrics, trusted semantic definitions, and standardized reporting practices across Power BI, Excel, and other enterprise reporting tools.
  • Reduce duplicate reporting, inconsistent KPIs, and manual reporting processes by establishing centralized governance and delivery standards.
  • Define and track analytics performance metrics including:
  • 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 operational maturity improvements.
  • Develop scalable intake and prioritization models balancing 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 define the enterprise roadmap for AI-enabled productivity tools and workflow-integrated copilots.
  • Support governed and practical adoption of AI capabilities focused on operational efficiency and business enablement.
  • Evaluate emerging technologies and analytics capabilities that improve enterprise reporting, automation, and decision support.

Requirements

What you’ll need
  • Bachelor’s Degree from an accredited university.
  • A minimum of 10 years of progressive leadership experience in enterprise data, analytics, business intelligence, or related technology domains.
  • A minimum of 5 years of proven leadership experience managing teams and building organizational structures that scale.
  • Proven success building or transforming enterprise-scale data and analytics functions.
  • Strong leadership experience in enterprise data strategy, roadmap development, and value realization initiatives.
  • Demonstrated ability to influence senior leaders and drive alignment across cross-functional organizations.
  • Deep understanding of:
  • Modern data platforms and lakehouse architectures
  • Semantic modeling concepts
  • Enterprise reporting and analytics governance
  • Data engineering and analytics delivery practices
  • Experience implementing trusted semantic approaches and improving consistency of enterprise reporting metrics and definitions.
  • Hands-on familiarity with Azure-based analytics ecosystems, including Power BI and Microsoft Fabric.
  • Strong communication and executive presentation skills with the ability to translate business priorities into technical delivery outcomes.
  • Experience building operational governance models, prioritization processes, and enterprise delivery cadences.
  • Proven ability to lead through influence in matrixed enterprise environments.
  • Strategic thinker with strong operational execution discipline
  • Collaborative and highly influential across technical and business teams
  • Strong organizational leadership and change management capabilities
  • Customer and business outcome oriented
  • Data-driven decision maker
  • Comfortable operating in fast-paced, evolving enterprise environments
  • Strong balance of innovation, governance, and practical execution

Benefits

Comp & perks
  • 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
  • Collaborative and cool culture
  • Work-life balance and generous paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data strategyanalytics deliverysemantic modelingdata engineeringenterprise reportingcloud lakehouse architecturedata qualityAI capabilitiesautomationdecision support
Soft Skills
leadershipinfluencecollaborationcommunicationorganizational leadershipchange managementstrategic thinkingoperational executioncustomer orientationdata-driven decision making
Certifications
Bachelor's Degree