[Remote] Finance Analytics & AI Engineer
Note: The job is a remote job and is open to candidates in USA. Slate Auto is committed to building safe and reliable vehicles while fostering a culture of innovation and excellence. They are seeking a Finance Analytics & AI Engineer to architect and build reporting analytics and AI-driven automation for commercial decision-making within the Finance organization.
Responsibilities
- 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 environment (NetSuite today, migrating to future-slate ERP platform by early 2027), EPM (Adaptive Planning), and operational systems
- Build scalable data pipelines and layers to enable self-service analytics through AI agents
- 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
- 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)
- Develop models for:
- Pricing optimization and margin expansion
- Demand forecasting and inventory planning
- Scenario modeling and long-range planning
- 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
Skills
- 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 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
- 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
- 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
Company Overview