Sr. Manager, Enterprise Analytics - G&A

6sense; United States; On-site; USD 180,000 - 230,000; Full time

Job summary

6sense seeks a proven analytics engineering leader to guide a team responsible for the pipelines, models, and semantic layer powering decision-making across the company. You will partner with Finance and Business Technology to keep executive metrics accurate and defined, and you will improve data models, semantic layers, and dashboards to be reliable, scalable, and easy to use.

This role emphasizes creating trusted analytics that enable fast, data-driven decisions and strong cross-functional

Qualifications

• 8+ years of experience in analytics engineering or data engineering in SaaS or data-intensive environments.
• 1+ year of experience directly 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 tools like Tableau or Hex and understanding how to make data products easy to use.
• Ability to help non-technical stakeholders use data with confidence.
• Track record of building or strengthening collaborative teams that deliver strong outcomes together.
• Enthusiasm for building a collaborative, engaging, and results-oriented team culture.
• Experience supporting Finance or executive reporting in SaaS contexts.

Responsibilities

• Lead a team of analytics engineers responsible for pipelines, models, and semantic layer powering decision-making.
• Partner with Finance and Business Technology to keep executive metrics accurate and defined.
• Improve core data models, semantic layers, and dashboards to be reliable, scalable, and easy to use.
• Make reporting faster, more trusted, and easier to use.
• Lead metric definition, documentation, validation, and governance for core business metrics.

Skills

Analytics engineering

Data engineering

Team leadership

Performance management

Coaching

Career development

Tools

Snowflake

dbt

Fivetran

SQL

Data modeling

Tableau

Hex

Claude Code

Snowflake Intelligence

Job description

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.
• Develop AI‑powered and agentic analytics tools that help teams explore data, answer questions, and make decisions faster.
• Partner with Finance and Business Technology to align reporting needs, architecture decisions, and analytics capabilities.
• Improve pipeline efficiency, automation, AI‑assisted tooling, and technical debt management to increase team speed and data quality.
• Lead, mentor, and develop analytics engineers by building technical depth, business context, clear career paths, and consistent feedback practices.

You Have :

• 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 experience directly 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 a clear understanding of what makes data products easy to use.
• Experience helping non-technical stakeholders use data with confidence.
• A track record of building or strengthening collaborative teams that deliver strong outcomes together.
• Enthusiasm for building a collaborative, engaging, and results‑oriented team culture.
• Experience supporting Finance or executive reporting, familiarity with SaaS revenue metrics, and experience improving analytics engineering practices during periods of scale or organizational change.

Our Benefits:

Full‑time employees can take advantage of health coverage, paid parental leave, generous paid time‑off and holidays, quarterly self‑care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our o﬋ices.

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well‑being is also top of mind for us. We host quarterly wellness education sessions to encourage self‑care and personal growth. From wellness days to ERG‑hosted events, we celebrate and energize all 6sense employees and their backgrounds.

Equal Opportunity Employer:

6sense is an Equal Employment Opportunity and Affir­mative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [e-mail].