Lead Analytics Engineering & AI Foundations (Remote)

Hubspot; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

HubSpot is seeking a Manager, Analytics Engineering, Data & AI Foundations to lead Analytics Engineers responsible for shared data foundations, platform capabilities, and AI-enabled workflows. You will translate requirements into a prioritized roadmap and collaborate with cross-functional teams to scale data capabilities.

You’ll drive architecture reviews, establish standards, and ensure reusable, robust solutions while guiding a team through hiring, mentoring, and career development in a

Qualifications

• Experience leading Analytics Engineers or similar data professionals, with hiring and coaching responsibilities.
• Ability to translate vision into a practical strategy, roadmap, and operating model.
• Strong understanding of analysts' workflows and shared data assets.

Responsibilities

• Lead and develop a team of Analytics Engineers, focusing on career growth and high-impact priorities.
• Set vision and operating model; translate goals into a concrete roadmap with metrics.
• Collaborate with managers to improve composable agents, semantic models, and data assets.
• Work with analysts to incorporate feedback into platform strategy and delivery.
• Review architecture and implementation approaches; establish scalable standards.
• Prioritize cross-functional initiatives based on impact and capacity.
• Partner with AI readiness teams to deploy resources to high-priority work.
• Own core platform assets and tooling; drive reusable patterns and automation.
• Advance AI-assisted workflows and governance across the organization.
• Guide development of semantic models and metric layers for analytics and AI.

Skills

Analytics leadership

SQL

dbt

Python

Communication

Data modeling

Leadership

Team development

Tools

Snowflake

dbt

Looker

GitHub Enterprise Cloud

Job description

HubSpot is seeking a Manager, Analytics Engineering, Data & AI Foundations to lead Analytics Engineers responsible for shared data foundations, platform capabilities, and AI-enabled workflows. You will translate requirements into a prioritized roadmap and collaborate with cross-functional teams to scale data capabilities.

You’ll drive architecture reviews, establish standards, and ensure reusable, robust solutions while guiding a team through hiring, mentoring, and career development in a