[Remote] Director, Data & Analytics Enablement (Remote)

Note: The job is a remote job and is open to candidates in USA. Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to clients. The Director of Data & Analytics Enablement will define and execute the enterprise data strategy, collaborating closely with business stakeholders and IT leadership to modernize reporting and improve data capabilities.

Responsibilities

• 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

Skills

• 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
• Deep understanding of semantic modeling concepts
• Deep understanding of enterprise reporting and analytics governance
• Deep understanding of 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
• Experience integrating common enterprise platforms such as ERP, CRM, ITSM, services workflow, or operational systems into enterprise analytics environments
• Exposure to AI governance, enterprise copilots, and responsible AI adoption frameworks
• Experience working in technology reseller, consulting, or professional services organizations
• Familiarity with modern data governance, metadata management, and data product operating models
• Experience managing strategic partners, vendors, and outsourced delivery teams

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

Company Overview

Company H1B Sponsorship