Director, People Data Science

HubSpot

Director of People Data Science at HubSpot, leading data-driven strategies for People Analytics. Fostering innovation and driving measurable impact while managing a high-performing team.

Posted 5/13/2026full-timeRemote • 🇺🇸 United StatesLead💰 $259,600 - $415,400 per yearWebsite

About the role

Key responsibilities & impact

Define and own the People Analytics Team’s data science and analytics engineering strategy, setting a clear roadmap aligned to People Team priorities.
Lead and develop a high-performing team of data scientists, fostering a culture of innovation, growth, and impact.
Build scalable, product-oriented data solutions, including models, tools, and frameworks that are widely adopted and drive decision-making.
Partner with HR leaders and cross-functional stakeholders to translate business challenges into high-impact data and AI solutions.
Oversee development of predictive models that forecast people outcomes, identify risks, and enable proactive decision-making.
Drive the creation of AI-powered tools and data products that deliver insights to managers and leaders at scale.
Ensure the integrity, governance, and scalability of data infrastructure supporting People Analytics.
Lead complex, high-stakes analytical initiatives and communicate insights clearly to non-technical audiences to influence decisions.
Shape HubSpot’s approach to AI within the People Team, including build vs. buy decisions and cross-team collaboration.
Ensure ethical, compliant, and responsible use of employee data across all initiatives.

Requirements

What you’ll need

8–10+ years of experience in data science, analytics, or a related field, including 5+ years leading technical teams.
Deep technical expertise in data science, including experience building and deploying models and working across the data stack.
Proven experience leading multidisciplinary teams (e.g., data science and analytics engineering).
Strong track record of delivering scalable data products or solutions that drive measurable business impact.
Ability to translate complex technical work into clear insights that influence non-technical stakeholders.
Experience partnering cross-functionally in matrixed environments and influencing senior stakeholders.
Strong leadership skills with a focus on developing talent and building inclusive, high-performing teams.
Understanding of ethical considerations and best practices when working with people or employee data.

Benefits

Comp & perks

transparent compensation
equity plan
restricted stock units (RSUs)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data scienceanalytics engineeringpredictive modelingAI solutionsdata infrastructuredata stackdata productsdata solutionsscalable modelsdata governance

Soft Skills

leadershipteam developmentcommunicationinfluencecollaborationinnovationgrowth mindsetproblem-solvingcross-functional partnershipstakeholder management