Architect Manager, Data & AI (GenAI) — Tax Automations & Innovation

About the Team

The Tax Technology Automations & Innovation team — known internally as the AI Team — builds the automations, Generative AI, and internal tooling that let DoorDash's global Tax function scale as the business grows across the US, Canada, and — through Wolt and Deliveroo — internationally. We turn manual, repetitive tax work into reliable, governed software, and we bring modern AI into the heart of how a tax function operates — responsibly, and with auditability built in. The team is organised into an AI Strategy function and three regional pillars: EMEA, US & Canada, and Coffee & Special Projects.

This role sits in the AI Strategy function and reports to the Tax Technology lead. You will set the technical and AI direction the three regional pillars build around, and partner across Tax, Tax Tech, Data Operations, Accounting, Product, and Engineering, as well as InfoSec, Internal Audit, and Compliance.

About the Role

DoorDash is looking for a senior-level AI and data expert to lead how the Tax department operates through automation, Generative AI, and intelligent data tooling. Beyond building high-impact automation, you will set the strategy for how LLMs, GenAI, and machine learning are integrated into critical tax workflows at scale, and act as the AI authority for the function.

This is the role that makes the entire team AI-native rather than merely AI-assisted. By owning the AI and automation governance framework, you will also ensure that everything the team builds on top of sensitive tax data stays controlled, defensible, and audit-ready. You don't just build — you set the bar, mentor the regional teams, and decide how we adopt a fast-moving technology responsibly.

You're excited about this opportunity because you will…

• Define and lead the GenAI strategy for the Tax function, identifying high-value use cases and setting adoption standards.
• Architect and deploy enterprise-grade AI solutions — intelligent assistants, AI-driven classification, anomaly detection, automated audit support, document summarization, and retrieval-augmented reporting.
• Own the AI and automation governance framework — model risk, change control, testing and validation standards, documentation, and auditability for tools that touch tax data and filings.
• Set the rules for responsible, controlled AI use, including data privacy, data residency, and what data may be sent to external model providers, partnering with InfoSec, Internal Audit, and Compliance.
• Partner with senior Tax, Product, and Engineering leaders to drive requirements and deliver measurable business impact.
• Mentor the Senior Analysts and Associate Managers across all regional pillars on applying GenAI/LLMs effectively and within governance guardrails.
• Quantify, track, and communicate the business impact of AI solutions (efficiency gains, error reduction, compliance risk mitigation).

We're excited about you because…

• You have 8+ years of hands-on experience in AI, GenAI, and data automation, delivering production-grade solutions at scale.
• You have deep expertise in LLMs and GenAI techniques — prompt engineering, fine-tuning, RAG, evaluation frameworks, conversational AI, classification, and summarization.
• You are advanced in Python and SQL and have built scalable AI and automation pipelines.
• You have a strong background in automation and applied analytics, ideally in tax, finance, or regulated industries.
• You have deployed AI in cloud data environments such as Snowflake, dbt, Airflow, or Databricks.
• You have expertise in AI governance, compliance, and risk management for regulated environments.
• You can translate complex AI capabilities into intuitive tools for non-technical users, and influence at all levels from hands-on teams to executives.
• You have a Bachelor's degree or higher.
• You have (preferably) knowledge of tax technology platforms or experience with global tax teams
• You have (preferably) experience in a high-growth technology, marketplace, or e-commerce company.