Define and execute a comprehensive enterprise-wide data and analytics strategy, aligned to organizational goals and future growth.
Establish the roadmap for data engineering, governance, quality, operations, and insights —balancing innovation, speed, and reliability.
Drive modernization of data platforms (e.g., Snowflake, Azure, Databricks) and BI tools (Power BI, Tableau).
Lead the design, build, and maintenance of scalable, secure, and reliable data pipelines, data models, and integration frameworks.
Own the enterprise data architecture and evolving the data stack in partnership with Engineering and Cloud teams.
Oversee ingestion, transformation, orchestration, and monitoring to ensure timely and accurate data availability.
Establish a strong data governance operating model including ownership, stewardship, standards, and policies.
Implement frameworks for data quality measurement, metadata management, cataloguing, lineage, and controlled access.
Own end-to-end data operations, focusing on system reliability, SLAs, monitoring, performance optimization, and operational excellence.
Set up incident management, change management, and service-level processes for data platforms.
Lead a global team of analysts and insight specialists to deliver actionable dashboards, reports, and advanced analytics.

Requirements

Proven experience leading full-stack data organizations including engineering, governance, operations, and analytics.
Strong command of relational and cloud-based data platforms (Snowflake, Azure Data Services, Databricks, etc.).
Deep understanding of data modeling, ETL/ELT frameworks, pipelines, orchestration tools, and API integrations.
Expertise in BI and visualization tools (Power BI preferred).
Thorough knowledge of enterprise data governance, data quality management, metadata, and master data concepts.
12–18 years of experience in data and analytics roles, with at least 7–10 years in leadership positions.
Demonstrated ability to build and scale global teams in a matrixed, fast-moving environment.
Strong communication and data storytelling skills with the ability to influence senior executives.
Experience driving enterprise adoption of new tools, platforms, and ways of working.
Experience supporting diverse business functions such as Product, Sales, Finance, Marketing, Operations, or Customer Experience.
Prior experience in an EdTech, SaaS, consumer, or digital enterprise environment is a plus.

Benefits

Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance.
Employees can enroll in our company’s 401k plan and receive an employer match.
Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata governancedata qualitydata operationsdata modelingETLELTAPI integrationsdata pipelinesdata orchestration

Soft Skills

leadershipcommunicationdata storytellinginfluencingteam buildingoperational excellenceperformance optimizationchange managementincident managementcollaboration