Senior Manager, Analytics & BI Engineering

Deckers Brands

. Own the semantic layer as the engineered source of enterprise metric definitions .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $137,500 - $185,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and certifying enterprise metrics and reporting solutions, with a strong focus on semantic modeling, dimensional modeling, and performance optimization. Proven ability to lead analytics engineering teams and manage external delivery partners while ensuring adherence to governance and engineering standards.

Highest-signal resume keywords

Enterprise Metrics DevelopmentAnalytics Engineering LeadershipPower BI, Tableau, Looker, or QlikSQL and BI Calculation Languages (DAX, MDX)Semantic Layer or OLAP Modeling Technology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise MetricsReporting SolutionsDimensional ModelingSemantic ModelingDataset CertificationPerformance TuningContent GovernanceSQLDAXMDX

Soft Skills

LeadershipProblem-SolvingAnalytical ThinkingDecision-MakingCommunication

Tools & Technologies

Power BITableauLookerQlikAWSAtScaleDbt Semantic LayerCubeLookMLAnalysis Services

Industry Keywords

Business IntelligenceAnalytics EngineeringReporting AssetsMetric DefinitionsGovernance Model

Tech Stack

Tools & technologies

AWSCloudSQLTableau

About the role

Key responsibilities & impact

Own the semantic layer as the engineered source of enterprise metric definitions
Implement and technically certify enterprise metric definitions across reporting assets
Resolve conflicting metric definitions across brands and business functions
Own metric and report-level quality, reconciliation, definition consistency, and certification criteria
Ensure correctness, performance, and maintainability of reporting assets
Define and enforce engineering standards for metrics and reporting
Own workspace structure, content organization, dataset certification and promotion, access, and security
Manage and mentor analytics engineers, BI developers, and analysts
Establish metrics engineering as a defined organizational craft with standards and career paths
Build the delivery model and intake process for metrics and reporting work
Lead analytics and reporting services for business areas using certified metrics
Build analytics capability within business functions and define transition paths for analytics ownership
Direct the external business intelligence delivery bench, including capacity planning, work allocation, quality review, and partner performance management
Supply metrics and reporting engineering capability to cross-functional data product teams
Build and maintain reusable semantic models and reporting delivery patterns

Requirements

What you’ll need

Bachelor’s degree required, preferably in Computer Science, Engineering, Information Systems, or a related technical field
8–12 years of experience building enterprise metrics, reporting, and business intelligence solutions
3–5+ years leading analytics engineering, BI engineering, or reporting teams
Hands-on experience owning an enterprise reporting platform such as Power BI, Tableau, Looker, or Qlik
Experience with content governance, dataset certification, row-level security, and performance tuning
Experience with semantic layer or OLAP modeling technology such as AtScale, dbt Semantic Layer, Cube, LookML, or Analysis Services
Experience directing external delivery partners or contractor benches, including capacity planning, work allocation, and quality management
Experience leading an analytics or insights team that serves business functions directly
Experience building analytics capability within business functions and transitioning ownership is preferred
Experience with cloud data platforms, preferably AWS, and dbt-modeled data
Expertise in dimensional modeling, semantic modeling, and metric definition
Proficiency in SQL and a BI calculation language such as DAX or MDX
Strong understanding of enterprise BI platform architecture, content governance, and performance optimization
Ability to create reusable patterns and standards that scale delivery across internal and partner teams
Strong delivery partner and contractor management skills, including capacity planning and quality control
Strong leadership and people-management skills
Ability to operate within a governance model owned by others while enforcing engineering standards
Ability to balance speed, quality, and operational stability
Excellent problem-solving, analytical thinking, and decision-making skills
Strong communication and influencing skills across technical and business stakeholders
Comfortable working in a fast-paced, matrixed, and global environment

Benefits

Comp & perks

Competitive compensation programs and bonuses
Financial planning and wellbeing programs
Income protection, expense support, and investment plans
Time away from work and paid time off support
Generous employee discounts
Community-based programs
Personal and professional development opportunities
Health and wellness programs and offerings