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Trilon Group

Director of Data and Analytics

Trilon Group

Director leading data engineering and analytics for Trilon’s infrastructure consulting businesses. Owning operating standards, governance, architecture, delivery, AI readiness, and team development.

Posted 8/4/2026full-timeRemote • 🇺🇸 United StatesLead💰 $234,000 - $260,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data engineering and analytics teams, establishing data governance, and driving continuous improvement in data processes. Proficient in managing delivery timelines, data quality, and leveraging AI tools for enhanced productivity.

Highest-signal resume keywords
Data Engineering LeadershipData GovernanceAI and Machine Learning IntegrationAgile Delivery PracticesPerformance Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalyticsData Pipeline DevelopmentData Quality ManagementMetric DefinitionSemantic ModelingCapacity PlanningData ClassificationData CatalogingTechnical Decision-MakingProcess Improvement
Soft Skills
People ManagementStrong CommunicationCollaborationAccountabilityAdaptability
Tools & Technologies
Microsoft Data StackPurviewAI-Powered Systems
Industry Keywords
AECEngineeringProfessional ServicesData CultureDelivery Timelines

About the role

Key responsibilities & impact
  • Lead a team of data engineers and data analysts
  • Set expectations for performance, delivery, and quality across data and analytics
  • Establish and maintain a data culture focused on accountability and execution
  • Serve as escalation point for technical, delivery, and team-related challenges
  • Define and govern the data and analytics operating model
  • Establish standards for pipelines, semantic modeling, metric definitions, reporting, code review, testing, and releases
  • Drive continuous improvement in processes, tools, and practices
  • Own delivery timelines, throughput, capacity planning, prioritization, and team velocity
  • Partner with architecture and engineering leads on data platform and analytics architecture
  • Guide architecture, modeling, and implementation decisions and manage technical debt
  • Own data quality, lineage, governance, cataloging, classification, access standards, security, and single-source-of-truth metrics
  • Prepare data pipelines and models for AI, machine learning, and generative AI use cases
  • Enable high-quality inputs for copilots, agents, and intelligent applications
  • Report on adoption, ROI, and impact of AI and Digital program initiatives
  • Leverage AI tooling to improve productivity
  • Collaborate with data, engineering, product, business, and program leadership on strategy, priorities, definitions, and decision-driving insights
  • Hire, develop, and retain data engineers, analysts, and team leads
  • Own headcount planning, onboarding quality, performance management, and staff augmentation standards

Requirements

What you’ll need
  • 10+ years of experience in data engineering, analytics, or data platform roles
  • 5+ years in data or analytics leadership roles managing teams or functions
  • Proven experience leading data and analytics teams across multiple business units
  • Strong understanding of modern data and analytics practices, including agile delivery
  • Experience defining and operating data and analytics processes at scale
  • Ability to make informed data and architectural decisions
  • Experience managing data and analytics capacity, delivery timelines, and prioritization
  • Strong people-management skills developing senior data engineers and analysts
  • Experience working closely with engineering, product, and business functions
  • Familiarity with the Microsoft data stack, Purview, and AI-powered systems is preferred
  • Experience managing external or staff augmentation data resources is a plus
  • Strong communication skills across technical and non-technical stakeholders
  • Ability to operate in a fast-paced, evolving environment with multiple priorities
  • Experience in AEC, engineering, or professional services environments is a strong advantage
  • Ability to travel up to 30% across the United States

Benefits

Comp & perks
  • Base salary range of $234,000–$260,000 per year
  • Fully remote work arrangement