AI Data Lead

OurRitual

. Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI .

Posted 9/24/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data functions with a focus on AI-driven analytics, including ownership of BigQuery, dbt, and scalable data infrastructure. Proven ability to drive cross-functional collaboration and communicate complex data insights effectively at a leadership level.

Highest-signal resume keywords

AI-Driven AnalyticsBigQuerySQLData InfrastructureData Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical MethodsA/B TestingData ReliabilityData Workflows

Soft Skills

Excellent CommunicationLeadershipCollaboration

Tools & Technologies

DbtAmplitudeGit-Based WorkflowsMCP

Industry Keywords

B2C EnvironmentData FunctionData ProjectsData Engineering

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI
Set priorities in partnership with senior leadership
Work closely with a data engineer and potentially grow the team as the function scales
Drive adoption of AI across data workflows, including automated analyses and real-time business-question agents
Own the semantic and metrics layer for consistent dashboard and agent definitions
Build a git-based workflow for dashboards and queries using pull requests and agents
Expose data to agents over MCP
Define where AI accelerates work and where human judgment remains necessary
Own BigQuery, dbt, pipelines, and data reliability
Lead complex analytics, A/B testing, and impact measurement hands-on
Define evaluations and quality metrics for AI features and agents
Partner with product, marketing, finance, operations, and engineering to define analytical needs and solutions
Represent the data function through senior-level data storytelling

Requirements

What you’ll need

7+ years of experience in data roles, spanning both analytics and infrastructure
Strong analytical foundation and ability to build trustworthy AI-driven analytics systems
Hands-on experience integrating AI into data workflows; shipped an agent or AI analysis flow that people use
Strong SQL skills and experience building scalable data infrastructure
Track record owning data projects independently with stakeholders across the business
Solid grounding in experimentation and statistical methods
Excellent communication and presentation skills at a leadership level
Comfortable being the most senior, and often only, data voice in the room
Experience with dbt (nice to have)
Experience with Amplitude (nice to have)
Experience with BigQuery (nice to have)
Experience with git-based BI workflows or tools like Modus (nice to have)
B2C environment experience (nice to have)