Accountabilities, Actions, and Expected Measurable Results
Data Engineering & Pipeline Operations
• Own the design, reliability, and scalability of ingestion, transformation, and storage pipelines
• Ensure ELT/ETL processes run with high uptime and strong data quality
• Guide orchestration, monitoring, and performance optimization
• Reduce operational fragility by promoting shared patterns and automation
Analytics Engineering & Data Modeling
• Oversee development and maintenance of clean, tested, well-documented data models (e.g., dbt)
• Define standards for modeling and semantic consistency
• Ensure downstream BI and analytics consumers have trusted, well-structured datasets
Governance, Quality & Trust
• Establish clear metric definitions and semantic models
• Partner with Governance and Security teams on lineage, metadata, and access controls
• Reduce metric inconsistencies and reporting ambiguity
• Ensure compliance with privacy and security standards
Business Partnership & Communication
• Serve as a data advisor to Analytics, Product, and business leadership
• Translate business priorities into technical roadmaps
• Communicate complex technical concepts and trade-offs clearly to technical and non-technical audiences
• Prioritize investments based on measurable business impact
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Manage and mentor a team of data engineers responsible for building and maintaining core data models, dashboards, and scalable data products.
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Collaborate with stakeholders to understand business needs, gather requirements, and deliver high-quality data solutions that support reporting and decision-making.
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Design, implement, and optimize performant, well-documented data models that enable self-service analytics and strategic initiatives.
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Define and champion engineering best practices around code quality, documentation, version control, and testing within analytics workflows.
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Lead or support ad-hoc data analyses to uncover insights and drive business strategy.
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Stay up to date on industry trends and new technologies to continuously improve our data architecture, tooling, and processes.