Finance Analytics, AI Engineer

Slate Auto

Finance Analytics & AI Engineer developing finance reporting and analytics capabilities for Slate. Responsible for architecting AI-driven automation to enhance commercial decision making amid ERP migration.

Posted 6/5/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

ERPPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

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Hard Skills & Tools

FP&ABusiness IntelligenceData AnalyticsSQLData ModelingData PipelinesAI/ML ModelsFinancial ForecastingPricing OptimizationScenario Modeling

Soft Skills

Strong Finance AcumenAnalytical SkillsAttention to DetailStrong CommunicationMindset BuilderAbility to Work in Ambiguous EnvironmentsUrgencyBias Toward Action