29 days ago
Remote, United StatesSenior
Responsibilities
- Own business outcomes for a portfolio of enterprise accounts from kickoff through production and expansion.
- Build semantic models for revenue recognition, cost allocation, general-ledger and cost-center hierarchies, headcount, and driver-based planning.
- Integrate and map sources across ERP systems, planning systems, and data warehouses, including reconciliation of real customer data.
- Lead working sessions with controllers, FP&A leads, and customer data teams to translate finance requirements into data models.
- Determine whether issues are modeling problems, source-data problems, or product gaps and route them appropriately.
- Provide specific product feedback based on customer friction so engineering can build effective solutions.
- Create reusable models, templates, and documentation that reduce time to value for future accounts.
- Explain customer reporting numbers back to their sources and deliver trusted outputs in production.
Requirements
- At least 5 years of production data-building experience with deep SQL fluency and comfort in Python.
- Direct experience with Snowflake, Databricks, or BigQuery and transformation tooling such as dbt or an equivalent.
- Working knowledge of financial data, including chart-of-accounts modeling, allocations, revenue definitions, or close processes.
- Experience working directly with enterprise customers, including scoping, pushing back, and communicating difficult news early.
- Ability to operate with ambiguity, exercise judgment about customer-specific versus reusable solutions, and create delivery playbooks.
- Familiarity with NetSuite, Workday, SAP, or Oracle is a strong signal.
- Background in consulting, solutions architecture, or professional services at a data or AI company is a strong signal.
- Experience with regulated buyers, being an early technical hire on a customer-facing team, or working in finance or accounting is a strong signal.
About Preql AI
Preql is the AI-powered data platform built for modern finance teams. It unifies financial and operational data, automates reconciliation, and delivers clean, reliable reporting—without needing engineers or ripping out your ERP stack. Preql makes it simple to answer critical questions about profitability and performance across teams, products, or markets, all from a single source of truth your whole company can trust.