Dave

Director, Data Platform – AI Acceleration

Dave

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $239,000 - $379,000 per year

Job Level

Lead

About the role

  • Own the full data lifecycle (ingestion, transformation, modeling, serving, access, quality, lineage) and accelerate AI enablement across the company.
  • Design and evolve data platform and AI Acceleration team.
  • Measure and increase automation across all data and analytics surfaces.
  • Help product, analytics, and science teams move faster because of the platform.
  • Treat the data platform as a product. Your customers are internal teams. Their velocity is your scorecard.
  • Define and evolve the end-to-end data platform architecture across batch, streaming, and real-time use cases.
  • Embed governance into infrastructure — data quality, lineage, semantic layer, access control, and compliance enforced by design rather than manual process.
  • Build scalable ingestion, transformation, and modeling layers that create reliable, trusted, AI-ready datasets for analytics, product, finance, and science teams.
  • Accelerate AI adoption through last mile tooling and increase automation.
  • Establish operational excellence: clear SLAs, monitoring, observability, cost management and incident response practices that build trust across the company.
  • Hire, develop, and retain strong data platform and AI engineers while fostering a culture of ownership, reliability, and thoughtful trade-offs.
  • Partner closely with Analytics, Product, Science, Compliance, and Engineering to ensure the platform evolves with business needs.

Requirements

  • 10+ years in data engineering or data platform roles.
  • 5+ years leading and scaling engineering teams.
  • Proven experience designing and operating end-to-end data platforms (ingestion → modeling → serving) in production environments.
  • Deep understanding of data modeling approaches across raw, curated, and consumption layers.
  • Proficiency with AI-native development workflows. You use LLMs, agentic coding tools, and AI-assisted automation is a regular part of how you build.
  • Experience embedding data quality, lineage, access control, and compliance into platform infrastructure.
  • Strong architectural judgment across batch and streaming systems.
  • Experience building infrastructure that enables AI/ML teams (e.g., feature stores, experiment pipelines, model-serving integrations).
Benefits
  • Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
  • Flexible hours and virtual first work culture with a home office stipend
  • Premium Medical, Dental, and Vision Insurance plans
  • Generous paid parental and caregiver leave
  • 401(k) savings plan with matching contributions
  • Financial advisor and financial wellness support
  • Flexible PTO and generous company holidays, including Juneteenth and Winter Break
  • All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team
Applicant Tracking System Keywords

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

Hard Skills & Tools
data engineeringdata platform designdata modelingAI-native development workflowsdata qualitydata lineageaccess controlcompliancebatch processingstreaming systems
Soft Skills
leadershipteam scalingoperational excellencecollaborationculture of ownershipreliabilitythoughtful trade-offs