Enterprise Analytics Manager

Our Mission:

6sense's mission is to multiply what matters: growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.

Our People:

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career. 

About the Job : 

You will lead a team of analytics engineers responsible for the pipelines, models, and semantic layer that power decision-making across 6sense. You will partner with Finance and Business Technology to keep executive metrics accurate, trusted, and consistently defined. You will support stakeholders across the business by making core data models, semantic layers, and dashboards reliable, scalable, and easy to use. 

You will be successful in this role by making reporting faster, more trusted, and easier to use. You will increase trust in data by improving metric definitions, data quality, and reporting consistency. You will lead a team that feels trusted, supported, and connected to the impact of its work. You will bring technical credibility in dbt, warehouse design, and data architecture while leading with transparency, ownership, and collaboration. 

Role Impact :

In this role, you will help 6sense make faster, more trusted decisions by improving the systems behind our most important business metrics. Your work will strengthen executive reporting, enable self-service analytics, and help the team scale with clarity, consistency, and ownership. 

You Will : 

• Lead the Enterprise – G&A Analytics Engineering roadmap, prioritizing pipelines, models, semantic layer work, and data products based on business impact and stakeholder needs. 
• Maintain predictable planning, release, and reporting rhythms so stakeholders understand priorities, timelines, and delivery expectations. 
• Strengthen trust in enterprise reporting by improving data quality, reliability, and clarity for stakeholders. 
• Lead metric definition, documentation, validation, and governance for core business metrics used across Finance, GTM, executive reporting in downstream tools, such as Tableau, Hex. 
• Build data products, semantic models, and metric layers that help teams answer common business questions using trusted, reusable data for analytics and AI.