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Director, Data & Analytics Enablement
Trace3Director 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.
Tech Stack
Tools & technologiesAzureCloud
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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