About The Position

As a Senior Manager, Enterprise Data you’ll own and scale the central “hub” of our enterprise data ecosystem. You’ll oversee our data warehouse, ingestion, and transformation processes to deliver trusted, well-governed data that powers decision-making across the business. You’ll also implement best practices for data modeling, ensuring pipelines are organised, secure, reliable and scalable. Partnering with GTM, Finance, Product and other cross-functional teams, you’ll help shape a forward-looking strategy that leverages AI and advanced analytics to drive business impact. This is a high-impact opportunity to set enterprise-wide standards and maximize the strategic value of data.

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.

Responsibilities

  • 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.

Benefits

  • Launch a career at one of the fastest-growing SaaS companies in North America!
  • 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!
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