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Senior Manager of Enterprise Data
AuditBoard · United States
About The Role
Join our team as a Senior Manager of Enterprise Data, where you'll lead the central hub of our enterprise data ecosystem. You'll oversee our data warehouse, ingestion, and transformation processes, ensuring the delivery of trusted, well-governed data that drives decision-making across the business. You'll also implement best practices for data modeling and partner with cross-functional teams to shape a forward-looking strategy that leverages AI and advanced analytics. This is a high-impact opportunity to set enterprise-wide standards and maximize the strategic value of data.
- Lead the enterprise data hub by managing the data warehouse and building reliable, optimised pipelines to ingest and transform data from systems across GTM, Product, Finance, and HR.
- Drive an enterprise-wide data governance strategy by partnering cross-functionally to align on KPIs, key data definitions and ensure quality, security, and compliance.
- Develop and execute a data strategy that enables advanced analytics and AI/ML use cases across the business.
- Experience leading sprint prioritization, roadmap management, and mentoring high-performing data teams
- 8+ years of experience in data/analytics engineering or enterprise data management
- Proven expertise managing cloud data warehouses (e.g., Snowflake) and scaling enterprise data platforms
- Hands-on experience with the modern data stack, including dbt for data transformation, orchestration tools (Airflow, Dagster), and ingestion tools (Fivetran, etc.)
- Demonstrated ability to design and implement data governance frameworks and lead cross-functional stakeholders to align on KPIs, data standards, and strategic roadmaps
- Business acumen in SaaS or technology companies, with familiarity in metrics such as ARR, churn, pipeline health, and customer lifetime value
- Strategic mindset with exposure to AI/ML, capable of identifying opportunities to leverage advanced analytics for business impact
- Experience implementing access controls, role-based permissions, and data masking to protect sensitive information across systems
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