Director of Data

Pebl•Palo Alto, CA

2d•Hybrid

About The Position

Pebl is seeking a highly technical, deeply analytical, and aggressively innovative Director of Data to lead our data strategy, infrastructure, and AI integration. This role is crucial for driving our "AI Everywhere" initiative and ensuring our vast repository of global employment and compliance data is secure, accessible, and actionable. The Director of Data will sit at the intersection of R&D and core business functions, including Marketing, Sales, Operations, Finance, and Legal.

Requirements

15+ years of experience in data engineering, data science, or analytics
At least 5 years in a senior leadership role
Deep, hands-on expertise orchestrating modern data infrastructure stacks: Snowflake, Fivetran, Atlan, Looker, and Monte Carlo
Proven experience deploying LLMs, machine learning models, and AI tools for both production products and internal operational workflows
Demonstrated ability to collaborate with Marketing, Sales, Operations, Finance, and Legal to tie data initiatives directly to top-line growth and bottom-line efficiency
A track record of weaving data into compelling business narratives for non-technical stakeholders
Ability to work from our Palo Alto office Monday through Wednesday to collaborate directly with the executive and R&D teams

Responsibilities

Own the vision and execution of Pebl’s modern data infrastructure, serving as the ultimate technical authority on data engineering.
Ensure highly scalable, performant, and reliable data pipelines, championing strict data security, privacy, and governance protocols.
Transform complex datasets into clear, actionable strategies across all departments, partnering with Marketing and Sales to optimize growth funnel, CAC, and conversion rates.
Collaborate with Operations, Finance, and Legal to improve billing accuracy, payroll speed, and compliance tracking.
Lead the charge to make Pebl a truly AI-native company, bringing AI capabilities to R&D offerings and embedding AI into daily workflows for internal efficiency.
Act as the ultimate translator between deep technical R&D work and overarching business objectives, mastering data storytelling for executive and board presentations.
Recruit top-tier talent and assemble a high-performing team of data engineers, analysts, and AI specialists.
Foster a culture of continuous learning and psychological safety to cultivate a data-driven mindset across the company.