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KIPP Foundation

Senior Manager, Data Engineering

KIPP Foundation
๐Ÿ‡บ๐Ÿ‡ธIn-Person$165Kโ€“$220K/yri7h ago
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Role Snapshot

Senior Manager, Data Engineering leads the end-to-end delivery of data architecture, BI platforms, and pipeline solutions for KIPP Foundation, partnering with stakeholders to drive requirements, design, and implementation of scalable data solutions.

Key Responsibilities: Own data pipeline design, build, and testing; manage BI platform (Tableau) operations and governance; establish data quality frameworks with monitoring and alerting; lead sprint planning and project delivery; manage and develop team members.
Skills & Tools: Expertise in data architecture, ETL/pipeline development, BI platforms (Tableau), data quality frameworks, and semantic layer design; strong project management, stakeholder communication, and technical leadership capabilities.
Qualifications: Not explicitly stated in job description. Typically requires 7+ years of data engineering/BI experience, including 3+ years in a senior or lead role, with demonstrated expertise in cloud data platforms and BI tools.
Location: In-Person
Compensation: $165Kโ€“$220K/yr (estimated)

Job Description

About The Position 

This role is responsible for creating, managing, and optimizing the data and BI platforms, and for partnering closely with stakeholders to drive requirements gathering, defining data solution architecture, and building and delivering data pipeline solutions (including, but not limited to, ETL/Extract-Transform-Load, pipelines, data models, and monitoring controls). This is a hands-on role that creates, drives and tracks project plans for  Business Intelligence (BI) platform and Data Engineering solutions delivery, and leads sprint planning and completion for assigned pipelines to meet business needs while implementing solutions with continuous improvement.  This role reports to the Senior Director of Data Management and Governance.  

  

Responsibilities 

  • Own and drive the end-to-end delivery of data architecture and pipeline solutions, including holistic planning, requirements-gathering, design, build, and testing strategy per assessed business needs. Design and evolve the semantic layer to be the well-governed single source of truth for business intelligence and ensure it is meeting all reporting needs. 

  • Design and operationalize data quality framework to ensure trust and consistency in data, with proactive monitoring, alerting, root cause analysis (including troubleshooting and resolution) with impact and sizing assessments for all critical data pipelines.

  • Manage and continuously improve data architecture and pipelines, establishing clear monitoring standards and operational controls. 

  • Lead the planning for BI (Tableau) platform management, updates, enhancements, maintenance and stakeholder communication along with ensuring high availability, performance, and security. Ensure optimal data/BI platform operations and governance standards implementation aligned to operational best practices. 

  • Establish foundational capabilities for AI-enabled analytics capabilities in BI platform and evolve them as organization needs mature. 

  • Partner closely with stakeholders on the Analytics, Application Development, Data Collection Strategy & Operations, IT Operations, Product Management, and Regional Data Systems & Strategy teams to lead communication and own, create, drive, track, and execute project plans for owned workstreams, effectively managing competing priorities to ensure data availability and accuracy for users. 

  • Lead sprint planning for assigned workstreams. Work on sprint execution and release delivery, ensuring aligned planning, timely outcomes, and resolution of dependencies and blockers to drive operational excellence. 

  • Ensure transparency into progress, risks, and dependencies through consistent tracking and communication mechanisms. 

  • Guide team member(s) on developing data and BI solutions with thorough validation and quality checks, and ensure up-to-date documentation. 

  • Manage and develop one or more team members (FTEs or contractors) as needed, providing clear expectations, timely feedback, and coaching to support performance and accountability for results.

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