Director, Data & Analytics Enablement

🔥 4 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $170k - $180k / year

⏰ Full Time

🔴 Lead

👔 Director

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Trace3

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

💰 Private Equity Round on 2017-06

Artificial Intelligence • Cybersecurity • SaaS

Trace3 is an IT consulting organization specializing in AI, data, cloud, and cybersecurity solutions. Founded 20 years ago, the company focuses on empowering organizations to adapt to the evolving IT landscape by providing strategic consulting services and innovative solutions. Trace3 has a strong presence in the technology consulting space, with partnerships in areas such as artificial intelligence, data analytics, cloud solutions, and security consulting. They aim to help businesses run, grow, and transform by leveraging cutting-edge technology to drive results in the data-driven economy. Trace3 is also involved in cloud migration, AI data readiness, and venture capital relations to offer a holistic technology consulting experience.

📋 Description

• 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

• 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

• 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