Finance Analytics, AI Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Slate Auto

WebsiteLinkedInAll Job Openings

201 - 500 employees

🚗 Transport

🔧 Hardware

👥 B2C

Transport • Hardware • B2C

Slate Auto is a manufacturer of a radically simple, highly customizable electric pickup that can be configured as a pickup or fastback SUV. The company sells directly to consumers with an online configurator called the Slate Maker, a reservation model, and an accessories marketplace for swaps and upgrades. Slate Auto emphasizes affordability, practical design, and easy ownership with integrated charging options and third‑party service and charging network partnerships.

📋 Description

• Own the Finance Data & Intelligence Layer • Architect and scale Slate’s Finance reporting and analytics ecosystem across all Finance functions — including Commercial and Corporate FP&A, Accounting/Controllership, Treasury, and Procurement — as well as partner organizations such as Product Development • Design and maintain robust data models that integrate the ERP (NetSuite today, migrating to SAP by early 2027), EPM (Adaptive Planning), and operational systems • Build scalable data pipelines and layers to enable self-service analytics through AI agents • Lead Finance AI & Automation Strategy • Define and execute Slate’s Finance AI roadmap, including: AI-powered variance analysis (PVM, BvA/FvA), Automated forecast updates and anomaly detection, Inventory optimization, Natural language query tools for business users • Build and deploy AI agents that: Connect to finance and operational datasets, Enable leaders to query performance (e.g., SKU-level GM trends, pricing impacts), Automate recurring Finance workflows • Build Best-in-Class Dashboards & Reporting • Develop executive-ready dashboards and reporting across: Gross margin by product, channel and unit economics, Opex & Capex forecasting & actuals reporting, Sales, inventory, and take rate analyses, Plant KPI reporting (manufacturing cost, throughput, and operational performance), Business performance dashboard consolidating company-wide financial and operational KPIs for leadership, Sales KPI tracking (bookings, deliveries, and channel performance) • Partner Finance and Commercial stakeholders to standardize KPIs and reporting definitions • Deliver real-time insights for leadership (including Board-level materials) • Drive Advanced Analytics & Decision Support • Develop models for: Pricing optimization and margin expansion, Demand forecasting and inventory planning, Scenario modeling and long-range planning • Enable a Self-Service Data Culture • Build tools that allow non-finance stakeholders to access and interpret financial data • Implement data governance and output validation into AI models • Train business partners on dashboards, tools, and AI capabilities • Reduce manual reporting and elevate the organization toward real-time, insight-driven decision making.

🎯 Requirements

• 8+ years in FP&A, Business Intelligence, Data Analytics, or related fields — or equivalent demonstrated capability across FP&A, data engineering, and AI • Strong finance acumen (P&L, gross margin, unit economics, forecasting) • Advanced expertise in BI tools (Tableau, Power BI, Looker, etc.) • Experience working with ERP/EPM systems (NetSuite, SAP, and Adaptive Planning preferred) • Strong SQL and data modeling capabilities • Experience building data pipelines and working with data warehouses/lakes • Familiarity with Python or similar for analytics and automation • Experience integrating multiple data sources into a unified reporting layer • AI & Automation Experience (Required) • Demonstrated hands-on experience building and deploying AI/ML models, agents, and analytics workflows in production (not experimental or coursework only) • Working proficiency with LLMs and agent-based architectures • Experience using AI tools to automate reporting, forecasting, or analysis • Strong interest in building AI-driven finance capabilities from the ground up • Mindset Builder mentality: thrives in ambiguous, fast-moving environments • Highly analytical with strong attention to detail • Strong communicator who can translate data into business insights • Operates with urgency and a bias toward action.

🏖️ Benefits

• Slate is proud to be an Equal Employment Opportunity and Affirmative Action employer. • We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. • Slate is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures.