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6sense is seeking a Senior Manager of Enterprise Analytics Engineering to lead a team responsible for the data pipelines, models, and semantic layer that power decision-making across the organization. You will partner with Finance and Business Technology to maintain accurate, trusted, and consistently defined executive metrics while supporting stakeholders across the business with reliable, scalable, and easy-to-use data models and dashboards.
In this role, you will lead the Enterprise G&A Analytics Engineering roadmap, prioritizing work based on business impact and stakeholder needs. You will strengthen trust in enterprise reporting by improving data quality, reliability, and clarity. You will lead metric definition, documentation, validation, and governance for core business metrics used across Finance, GTM, and executive reporting in tools such as Tableau and Hex. You will build data products, semantic models, and metric layers that help teams answer common business questions using trusted, reusable data for analytics and AI. You will develop AI-powered and agentic analytics tools that help teams explore data and make decisions faster.
You will maintain predictable planning, release, and reporting rhythms so stakeholders understand priorities and timelines. You will partner with Finance and Business Technology to align reporting needs, architecture decisions, and analytics capabilities. You will improve pipeline efficiency, automation, AI-assisted tooling, and technical debt management to increase team speed and data quality. You will lead, mentor, and develop analytics engineers by building technical depth, business context, clear career paths, and consistent feedback practices. You will build a collaborative, engaging, and results-oriented team culture.
**Requirements:**
- 8+ years of experience in analytics engineering, data engineering, or a closely related field, with experience in SaaS or another data-intensive environment
- 1+ year of direct experience managing analytics or data engineering teams, including performance management, coaching, and career development
- Hands-on experience with Snowflake, dbt, modern ELT pipelines such as Fivetran, SQL, and data modeling
- Experience using AI tools for analytics development and delivery, such as Claude Code, Snowflake Intelligence, or similar technologies
- Experience building or improving a semantic layer, metrics governance process, or shared metric definitions
- Experience with BI or analytics tools such as Tableau or Hex and understanding of what makes data products easy to use
- Experience helping non-technical stakeholders use data with confidence
- Track record of building or strengthening collaborative teams that deliver strong outcomes
- Experience supporting Finance or executive reporting, familiarity with SaaS revenue metrics, and experience improving analytics engineering practices during periods of scale or organizational change
