Industrious

Head of Data and AI Platform

Industrious

full-time

Posted on:

Location Type: Office

Location: Austin • Texas • 🇺🇸 United States

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Salary

💰 $200,000 - $230,000 per year

Job Level

Lead

Tech Stack

Amazon RedshiftETL

About the role

  • Craft and evangelize a compelling vision for an AI-native data ecosystem and define a roadmap connecting foundational infrastructure to business outcomes.
  • Work closely with the ELT and department leaders to translate business strategy into data requirements and be a strategic partner.
  • Lead design and implementation of a modern, scalable, and reliable data stack (currently leveraging Looker Pro, Snowflake, Redshift, Fivetran; define optimal setup).
  • Simplify, document, and share existing data transformations to unlock immediate BI improvements while building the future platform.
  • Architect strategy for company-wide data fluency and enable natural-language querying for instant, trusted answers.
  • Partner with and challenge engineering and data teams; dive into technical weeds to ensure architectural integrity and unblock teams.
  • Mentor and foster a culture of excellence within the data team; provide clear direction and support growth.
  • Lead organizational change to embed data in daily workflows and strategic planning; deliver quick wins and scale AI foundations.
  • Establish robust, secure scalable data ingestion (including PII) and create environments (data playground) for internal experimentation.

Requirements

  • 8+ years in data leadership (data engineering, data platform, analytics), with at least 3 years managing high-performing teams.
  • Significant experience leading data platform, data engineering, or analytics teams with a clear track record of transforming data infrastructure from the ground up.
  • Proven experience building and scaling modern data stacks (Snowflake, Looker, Redshift, Fivetran, dbt, etc.).
  • Expert in modern data architecture (ELT/ETL, Warehousing, BI visualization, Data Governance, and emerging AI/ML tooling).
  • Experience shaping ambiguous challenges into a clear vision and an executable, prioritized roadmap.
  • Exceptional communicator and collaborator; able to earn trust across execs, engineers, and business stakeholders.
  • Comfortable diving into technical details and providing credible challenges to senior data engineers.
  • Low ego, high curiosity, fun to work with; relentless bias for action.
  • Bonus: Built or deployed AI/ML-powered products or platforms; led a full data platform transformation; experience shaping a data org from the ground up.
Benefits
  • Annual 17% bonus
  • Participation in our long-term incentive program
  • Heavily subsidized healthcare plans
  • Generous paid time off
  • Wellness programs
  • Professional development grants
  • 401k plan
  • Many other benefits, subject to applicable eligibility criteria and company policies

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata platformanalyticsdata architectureELTETLdata warehousingBI visualizationdata governanceAI/ML tooling
Soft skills
communicationcollaborationleadershipmentoringstrategic thinkingproblem-solvingtrust-buildingcuriosityadaptabilitybias for action
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