Director, Data Platform – AI Acceleration
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Job Description
Director managing the data platform and AI Acceleration at a fintech, leading teams and driving innovation. Focused on enhancing financial accessibility for millions of Americans.
Responsibilities:
- 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
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