Director of Data Analytics

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Data Analytics in United States.

This senior leadership role sits at the intersection of data strategy, product analytics, and organizational scale within a fast-growing, mission-driven environment. You will define and lead the company-wide analytics vision, ensuring data is deeply embedded into product development, decision-making, and business strategy. Acting as a manager of managers, you will guide Analytics Leads and their teams while setting a high bar for analytical rigor and execution excellence. You will partner closely with executive leadership, especially Product and Data stakeholders, to align analytics priorities with the company’s most critical objectives. This role also involves shaping how data is used across the organization, from experimentation and metric definition to AI-driven analytics innovation. You will help build a culture of data literacy, self-service, and evidence-based decision-making at scale. It is a highly influential position for a leader who thrives in fast-paced, high-growth environments and wants to shape how data drives product and business impact.

Accountabilities:

In this role, you will lead the data analytics organization while shaping strategy, driving product impact, and ensuring analytics excellence across the company.

Lead, mentor, and develop a multi-layered analytics organization, managing Analytics Leads and their cross-functional teams.
Define and drive the product analytics strategy in close partnership with Product leadership and executive stakeholders.
Integrate data into the product lifecycle, including success metrics definition, A/B testing frameworks, and feature impact analysis.
Shape and execute the long-term data analytics roadmap, ensuring scalable team structure, tooling, and data models.
Pioneer the use of AI and advanced analytics capabilities, including agentic and self-service analytics solutions.
Collaborate with executives and department leaders to prioritize high-impact initiatives and allocate data resources effectively.
Establish and enforce best practices in data governance, documentation, code quality, and dashboard design.
Foster a strong company-wide data culture, improving data literacy and enabling self-service decision-making.

Requirements:

The ideal candidate is a seasoned analytics leader with deep product analytics expertise, strong technical fluency, and proven experience scaling high-performing data teams in fast-paced environments.

10+ years of experience in data analytics, data science, or a quantitative discipline in high-growth tech environments.
5+ years of leadership experience managing and scaling high-performing, multi-disciplinary teams.
Strong expertise in product analytics, including A/B testing, experimentation design, and user behavior analysis.
Deep understanding of product and business metrics, with a proven ability to influence product roadmaps through data.
Strong business acumen, ideally with experience in marketplace dynamics or two-sided platforms.
Technical fluency in modern data stacks, including Snowflake, dbt, and BI tools such as Looker or Hex.
Exceptional executive communication skills, with the ability to translate complex insights into clear strategic narratives.
Experience working in ambiguous, fast-moving startup or scale-up environments.
Strong ability to build structure, processes, and high-performing teams in evolving organizations.
Experience in healthcare data or advanced quantitative education (Statistics, Computer Science, Economics, MBA) is a plus.

Benefits:

Competitive executive-level compensation package
Opportunity to shape company-wide data strategy and analytics vision
High-impact leadership role with direct influence on product and business outcomes
Fast-paced, mission-driven environment focused on meaningful healthcare transformation
Strong autonomy in defining team structure, strategy, and execution priorities
Opportunity to lead AI-driven innovation in analytics and self-service data tools
Collaborative work with executive leadership and cross-functional teams
Remote-friendly environment within the United States

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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