Principal Business Intelligence Manager
$143,600–$229,400 year
RemoteUnited States
Job Summary
Define the target-state architecture and semantic-layer strategy for Zillow's governed customer experience data foundation. Model operational workflows, financial metrics, and product signals to establish reusable data-product patterns for Tableau, Databricks, and AI workflows. Lead cross-organizational initiatives to align metric definitions, taxonomy standards, and source-of-truth expectations across business lines and leadership. Partner with Data Engineering and product teams to implement patterns while maintaining ownership of business architecture and governance. Mentor senior BI managers and analysts by shaping technical standards and strategic direction. This remote individual-contributor role requires 10+ years in data architecture and semantic-layer design, with a base salary of $136,400 - $229,400 depending on location.
Required Qualifications
- 10+ years in data architecture, enterprise data modeling, analytics engineering, or business intelligence data-product leadership
- principal- or staff-level technical ownership of a large, multi-system data environment
- Expert SQL and data modeling
- experience designing architectures that span multiple business domains, source systems, grains, customer journeys, and consumption patterns
- Deep expertise in semantic-layer design
- metrics-as-code patterns
- metric-definition governance
- reusable dimensional modeling
- data governance at organizational scale
- A 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
- Excellent communication and partner-management skills
- consistent ability to gain alignment across product, engineering, analytics, finance, sales, operations, and executive stakeholders
- You thrive as a hands-on individual contributor
- lead through technical depth, architecture, credibility, and influence
- energized by staying close to the work
- Strong judgment around decision rights
- know when to recommend, when to facilitate, when to escalate, and when leadership or cross-functional partners need to ratify a decision
Desired Qualifications
- Experience in a customer experience, customer support, operations, marketplace, or multi-product customer journey data domain
- Experience reconciling competing sources of truth, for example workforce or HR systems versus operational systems
- Experience partnering with, or working inside, a central data platform, product analytics, or data engineering organization
- Familiarity with making data foundations ready for AI and self-service analytics, including governed semantic models, natural-language query tools, and AI-ready data products
- Experience with taxonomy tagging, customer-intelligence systems, contact-driver analysis, interaction intelligence, or journey analytics
- A track record of mentoring and upleveling BI professionals, analysts, and analytics engineers as a senior technical leader
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