Senior Manager, Enterprise Data

Role Description

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.

Key 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.

Qualifications

• 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.
• Comprehensive employee health coverage.
• 401(k) with company match.
• Competitive compensation & bonus program.
• Flexible vacation (exempt) / Accrued vacation (non-exempt).
• Time off for your birthday & volunteering.
• Employee resource groups.
• Opportunities for team and company-wide get-togethers!
• Parental Leave.
• *perks may vary based on eligibility/location.