Director of Data

Pebl

. Own the vision and execution of Pebl’s modern data infrastructure.

Posted 9/28/2026full-timeToronto • CanadaLead💰 CA$191,452 - CA$252,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data engineering and analytics with a focus on scalable data infrastructure, AI integration, and data governance. Proven leadership in transforming data insights into strategic business objectives while fostering a collaborative and data-driven culture.

Highest-signal resume keywords

Data Engineering LeadershipSnowflake ExpertiseMachine Learning DeploymentData Governance ProtocolsCross-Department Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ScienceAnalyticsMachine LearningAI ToolsData PipelinesData SecurityData PrivacyData TransformationData Narratives

Soft Skills

CollaborationLeadershipCommunicationContinuous LearningPsychological Safety

Tools & Technologies

SnowflakeFivetranAtlanLookerMonte Carlo

Industry Keywords

Global PayrollHR ComplianceBilling AccuracyGrowth FunnelCACConversion Rates

About the role

Key responsibilities & impact

Own the vision and execution of Pebl’s modern data infrastructure.
Serve as the technical authority on scalable, performant, and reliable data pipelines.
Champion data security, privacy, and governance protocols for global payroll, HR, and compliance data.
Transform complex datasets into actionable strategies across departments.
Partner 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 Pebl’s AI-native transformation and embed AI into R&D products and daily business workflows.
Translate technical R&D work into business objectives and present data insights to executives and the board.
Recruit and lead data engineers, analysts, and AI specialists.
Foster continuous learning, psychological safety, and a data-driven culture.

Requirements

What you’ll need

15+ years of experience in data engineering, data science, or analytics, with at least 5 years in a senior leadership role.
Deep, hands-on expertise with Snowflake, Fivetran, Atlan, Looker, and Monte Carlo.
Proven experience deploying LLMs, machine learning models, and AI tools for production products and internal operational workflows.
Demonstrated ability to collaborate with Marketing, Sales, Operations, Finance, and Legal to tie data initiatives directly to growth and efficiency.
Track record of presenting compelling data narratives to non-technical stakeholders.
Ability to work from the Palo Alto office Monday through Wednesday to collaborate with executive and R&D teams.
Ability to work in-office at the Toronto office Monday through Wednesday.

Benefits

Comp & perks

Flexible Time Off – Take the time you need to recharge.
Parental Leave – Support for growing families.
Health and Dental Insurance – Where applicable, to cover you and your loved ones.
Retirement Savings + Employee Incentive Plan – Plan for the future while sharing our success.
Equity offered.