Principal Business Intelligence Manager

Zillow

Principal Business Intelligence Manager at Zillow overseeing customer experience data architecture. Defining target-state architecture and leading data initiatives for enhanced business intelligence.

Posted 7/20/2026full-timeRemote • California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington • 🇺🇸 United StatesLead💰 $143,600 - $229,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Data Architecture, Enterprise Data Modeling, and Analytics Engineering, with a strong focus on Semantic-Layer Design and Metrics-as-Code Patterns. Proven ability to lead cross-organizational data initiatives and establish governance standards for data products and reporting.

Highest-signal resume keywords

Data ArchitectureExpert SQLSemantic-Layer DesignMetrics-as-Code PatternsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAnalytics EngineeringMetric-Definition GovernanceReusable Dimensional ModelingIdentity Resolution

Soft Skills

Excellent CommunicationPartner Management

Tools & Technologies

DatabricksDbtSnowflakeTableau

Industry Keywords

Customer Experience OperationsData FoundationCross-System Identity StrategyData-Product CertificationAI Enablement

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Dive deep into Zillow's internal and third-party data to model the customer journeys, operational workflows, workforce structures, financial measurement, and product signals that define customer experience operations
Set the target-state architecture for the data foundation, defining how data domains, source systems, grains, identities, taxonomy, and semantic logic fit together from raw signal through to BI, analytics, data science, and AI consumption
Design reusable semantic-layer and metrics-as-code patterns
Drive alignment on metric definitions, taxonomy standards, source-of-truth expectations, data-product certification, and cross-system identity strategy across business lines, partner teams, and leadership
Lead cross-organizational data initiatives tied to company strategy, customer experience priorities, AI enablement, and multi-year roadmap planning
Set quality, monitoring, documentation, and reliability expectations for critical data products and reporting surfaces

Requirements

What you’ll need

10+ years in data architecture, enterprise data modeling, analytics engineering, or business intelligence data-product leadership
Expert SQL and data modeling
Deep expertise in semantic-layer design, metrics-as-code patterns, metric-definition governance, reusable dimensional modeling, and data governance at organizational scale
Strong grasp of how AI systems, natural-language query experiences, and machine-learning workflows consume structured, governed data
Experience owning or heavily shaping taxonomy, source-of-truth, identity resolution, or semantic governance standards across competing stakeholders and business lines
Experience evaluating, adopting, or influencing analytics-engineering tooling at the organizational level, such as Databricks, dbt, Snowflake, semantic-layer platforms, or Tableau
Excellent communication and partner-management skills
Thrives as a hands-on individual contributor

Benefits

Comp & perks

competitive base salary
equity awards based on factors such as experience, performance and location
work flexibility from a location of their choice