Director of Data Engineering and Agentic AI Automation

• Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation
• Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems
• Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes
• Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday
• Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance
• Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency
• Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams
• Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains
• Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes
• Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities
• Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation
• Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards
• Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI”

• 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets
• Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks
• Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)
• Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain
• Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C
• Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions

Experience integrating with contract manufacturers and external logistics providers is a strong plus

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
• Offers Equity