Senior Manager, Data Engineering

3 days ago

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AuditBoard

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SaaS • Compliance • Security

AuditBoard is a leading cloud-based platform that specializes in transforming audit, risk, environmental, social, and governance (ESG), and information security (InfoSec) management. The platform empowers businesses to improve efficiency and clarity in managing risks by providing an integrated, intelligent, and collaborative environment for audit, compliance, risk management, and more. Trusted by more than 50% of the Fortune 500 companies, AuditBoard facilitates the seamless connection of teams, stakeholders, data, and processes, enabling organizations to address risks comprehensively and proactively through automation, analytics, and collaborative workflows. The company offers a modern connected risk management platform and supports SOX, internal audits, IT risk, and ESG programs, aiming to drive business improvements with superior insights and recommendations.

501 - 1000 employees

☁️ SaaS

📋 Compliance

🔐 Security

💰 $40M Series B on 2018-08

📋 Description

• 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. • Prioritize and manage the data roadmap through sprint planning and balancing immediate stakeholder needs with scalable long-term architecture • Implement best practices for data modeling, testing, and documentation to maintain clean, scalable, and auditable transformations. • Deliver GTM-ready data by building trusted pipelines for metrics like pipeline health, bookings, churn, and customer lifetime value. • Develop and execute a data strategy that enables advanced analytics and AI/ML use cases across the business. • Lead and mentor a hub team of data and analytics engineers, setting priorities, CI/CD standards, and fostering a culture of reliability and innovation. • Stay ahead of industry trends in modern data stack tools, orchestration and AI-driven data transformation.

🎯 Requirements

• 8+ years of experience in data/analytics engineering or enterprise data management • Demonstrated ability to design and implement data governance frameworks and lead cross-functional stakeholders to align on KPIs, data standards, and strategic roadmaps. • 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.). • Experience implementing access controls, role-based permissions, and data masking to protect sensitive information across systems • Strategic mindset with exposure to AI/ML, capable of identifying opportunities to leverage advanced analytics for business impact. • Experience leading sprint prioritization, roadmap management, and mentoring high-performing data teams. • Business acumen in SaaS or technology companies, with familiarity in metrics such as ARR, churn, pipeline health, and customer lifetime value.

🏖️ Benefits

• Live your best life (LYBL)! $200/mo for anything that enhances your life • Remote and hybrid work options, plus lunch in the Cerritos office • Comprehensive employee health coverage (all locations) • 401K with match (US) or pension with match (UK) • Competitive compensation & bonus program • Flexible Vacation (US exempt & CA) or 25 days (UK) • Time off for your birthday & volunteering • Employee resource groups • Opportunities for team and company-wide get-togethers!