Director, Data & Analytics Enablement

🕒 Junho 5

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $170.000 - $180.000 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

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Trace3

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🤖 Inteligência Artificial

🔒 Cibersegurança

☁️ SaaS

💰 Private Equity Round em 2017-06

Artificial Intelligence • Cybersecurity • SaaS

A Trace3 é uma organização de consultoria em TI especializada em soluções de IA, dados, nuvem e cibersegurança. Fundada há 20 anos, a empresa foca em capacitar organizações a se adaptarem ao cenário tecnológico em evolução, fornecendo serviços de consultoria estratégica e soluções inovadoras. A Trace3 tem uma forte presença no espaço de consultoria em tecnologia, com parcerias em áreas como inteligência artificial, análise de dados, soluções em nuvem e consultoria de segurança. Eles visam ajudar empresas a operar, crescer e se transformar, aproveitando a tecnologia de ponta para gerar resultados na economia orientada por dados. A Trace3 também está envolvida em migração para a nuvem, prontidão de dados para IA e relações de capital de risco para oferecer uma experiência de consultoria em tecnologia holística.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• 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