Manager, Semantic LayerEngineering

YourResponsibilities

Semantic Layer Architecture & Metric Quality

• Build andmaintainthe enterprise semantic layer as the default source forgovernedmetrics consumed by dashboards, operational systems, data science, and AI agents, following established semanticlayerand metrics tooling standards set by governance leadership.

• Implement metric definitions as version-controlled, tested, reusable logic including SQL, transforms, and joins against AWS Redshift, S3, and other systems in alignment with established business meaning and product-defined governance criteria.

• Execute performance, reliability, and cost optimization tasks for metric query execution, following established observability practices and escalating significant infrastructure decisions for supervisor review.

• Operate automated test coverage, SLA monitoring, lineage tracking, anomaly detection rules, and incident response processes for enterprise-certified metrics, following documented quality standards.

• Review proposed changes to enterprise-certified metric definitions and support technical change approvals in coordination with the defining product manager, ensuring all updates follow established change management protocols and propagate through the semantic layer.

Metric Lifecycle & Governance Operations

• Execute the metric certification lifecycle, administering promotion gates through which metrics graduate from exploration to product-scoped use to enterprise certification based on usage, quality, and cross-team impact.

• Workwith product managers under a shared ownershipmodel productdefines the metric need, meaning, quality thresholds, and freshness expectations and execute implementation, monitoring, and enforcement activities.

• Identify metric inconsistencies within assigned functional areas, consolidating duplicate and conflicting metric logic into shared, governed definitions (e.g., a single enterprise definition of RevPAR), and escalating cross-team conflicts that cannot be resolved at the team level to the Senior Director for governance review.

• Document workflows, build processes, and approval paths for metricproposal, validation, certification, and consumption.

• Maintainaccuraterecords of metric lifecycle status, quality results, and open issues, providing regular and ad hoc status updates to the Senior Director to support governance oversight.

AI Enablement & Trusted Consumption

• Expose governed metrics and business context to BI platforms (Tableau), operational systems, data science, and AI agents, following established integration patterns so that new products, reports, and AI consumers inherit trusted definitions automatically.

• Maintain governed business context within the supporting data catalog so that generative AI applicationsoperateon certified business metadata as well as semantic logic, in alignment with catalog standards set by the Manager, Governance & Stewardship.

• Operate monitoring and alerting workflows for metric quality, freshness, and usage in the analytics platform, in partnership with the Manager, Governance & Stewardship, providing regular reports on consumption patterns and anomalies.

• Support prototyping and iteration on integrated data catalog and data fabric capabilities in partnership with the Manager, Governance & Stewardship, who serves as product owner for the enterprise data catalog.

• Researchemergingsemantic layer, metadata, and AI-enablement tooling and surface findings and potential adoption options to the Senior Director for evaluation and decision-making.

People Management & Stakeholder Coordination

• Directly manage and develop one direct report, closelymonitoringtheir day-to-day tasks and assignments, providing consistent coaching and support, and recommending development opportunities and staffing decisions to the Senior Director for review and approval.

• Execute assigned phases of the semantic layer and governance roadmap under the direction of the Senior Director, contributing to the organization27s progress fromidentifyingkey metrics and owners to embedding governance directly in systems.

• Support the expansion of the semantic layer as the trusted default for enterprise reporting and AI earning adoption by making it the most reliable, easiest-to-use source and reducing reliance on shadow logic and one-off definitions, within established timelines and priorities.

• Communicate progress, metric quality status, and delivery updates to stakeholders as directed, and providetimelyreporting to the Senior Director to support broader communications with business unit leadership.

• Maintain documentation and ownership records that make every governed metric traceable, explainable, andaudit-ready.

Your Experience, Skills &Competencies

Required

• Bachelor27s degree or equivalent practical experience in computer science, analytics engineering, data engineering, or a related field.

• 5+ years of progressive experience in analytics engineering, data engineering, or BI platform roles, including building governed metrics, reusable data models, and enterprise-scale reporting infrastructure (hands-on semantic-layer ownership a strong plus).

• Solid, demonstrable SQL skills, with experience in Redshift or other columnar databases; ability to write,optimize, and review complex analytical queries in a production environment.

• Hands-on experience implementing semantic layer or metrics-store tooling (e.g.,dbtSemantic Layer/MetricFlow, Cube,AtScale,LookML, or similar), including version control (git), CI/CD, and automated testing practices.

• Working knowledge of data modeling concepts dimensional modeling, joins, aggregation logic performance optimization, and semantic layer design principles.

• Demonstrated experience executing data quality frameworks in production: automated tests, SLAs, monitoring, alerting, and incident response for trusted data products.

• Experience with Tableau or comparable BI platforms, including how governed, certified data sources power enterprise reporting at scale.

• Strong attention to detail with accountability for the accuracy, consistency, and governance of enterprise metric definitions consumed by leadership, franchisees, and AI systems.

• Strong communicationskills, with the ability tocoordinate onmetric definitions and methodologies acrossproduct, analytics, and business teams, and to provide clear and regular status updates to management.

• Demonstrated ability to manage multiple concurrent tasks and priorities whilemaintainingdata quality and delivery timelines.

Preferred

• Advanced degree ina quantitativeor technical field.

• Experience with data catalog, lineage, and data quality tooling (e.g., Atlan, Collibra, Alation,DataHub, Monte Carlo, or similar) and how these integrate with a governed semantic layer.

• People-leadershipexperience, ordemonstrated readiness to manage and develop a direct report while standing up a new organizational capability.

• Experience with Jira, Confluence, or other Atlassian products for project tracking, documentation, and cross-functional coordination in agile delivery environments.

YourTeam

This is a leadership role that will report to theSenior Director, DataDeliveryand Enterprise Governance.You will have1direct reportand collaborate with cross-functional departments on a regular basis.

Salary Range

The salary range for this position is