[Hiring] Finance Data Architect @Siemens

Role Description

We are looking for a Finance Data Architect with a strong foundation in finance and a passion for data, analytics, and automation. This role is designed for a hands-on builder who enjoys creating scalable tools, data models, and reporting solutions that improve how finance operates.

While a portion of the role will support financial analysis and reporting, the vast majority of your time will be focused on developing and enhancing data infrastructure, dashboards, and automation solutions.

We aren't looking for a historian to tell us what happened; we are looking for an architect to build the engine that shows us what is happening now and what will happen next.

Key Tasks & Responsibilities

• Data Modeling, Tool Development & Automation (~70%)
  • Build & Maintain: Design data models and datasets to support high-fidelity financial reporting and analysis.
  • Visualize: Develop scalable Power BI dashboards and semantic models for business-wide use.
  • Transform: Use Power Query and related tools to structure raw data into actionable insights.
  • Automate: Design repeatable reporting workflows and identify automation opportunities using Power Platform and AI-enabled tools.
  • Standardize: Improve data structures across Actuals, Forecast, and Planning datasets to ensure a "Single Source of Truth."
• Finance Analysis & Reporting (~20%)
  • FP&A Support: Provide variance analysis and forecasting inputs to the controlling teams.
  • Targeted Analysis: Perform deep-dive data analysis to identify business trends, risks, and opportunities.
  • Translate: Turn complex business questions into clear, data-driven narratives.
• Strategic Project Support & Integration (~10%)
  • R&D / PLM Controlling: Assist in financial tracking and cost transparency for product development initiatives and resource allocation.
  • Ecosystem Integration: Work with SAP data (FI/CO, COPA) and support the integration of data sources into platforms like Snowflake.
  • Architecture Improvement: Assist in improving data pipelines and overall regional data architecture.

Qualifications

• Analytical Rigor & Curiosity: You don't just "run" reports; you interrogate the data.
• Self-Directed Ownership: As a "builder" in a remote environment, you must be a high-agency individual.
• Data Storytelling & Influence: Ability to translate complex data models into clear, actionable business narratives.
• Commitment to Data Integrity: You are the guardian of the "Single Source of Truth."
• Resilience & Stakeholder Partnership: Strong resolve necessary to partner with high-performing teams.
• Continuous Improvement Mindset: Constantly looking for ways to automate, simplify, and scale financial operations.

Requirements

• Bachelor’s degree in a quantitative field (Finance, Accounting, Data Analytics, Information Systems, or Engineering).
• Must have 8+ years of experience with the following:
• The Architect’s Toolkit: Expert-level Power BI (DAX) and Power Query (M).
• Data Modeling: Proven experience building relational data models and semantic layers (Star Schemas).
• SAP Core: Strong working knowledge of SAP FI/CO and COPA modules.
• Advanced Analytics & Modeling (Excel): Expert functionality (Dynamic Arrays, Power Pivot, and complex logic).
• Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization.

Preferred Qualifications

• Modern Data Stack: Exposure to Snowflake or similar cloud data platforms.
• Code-Savvy: Basic SQL for data querying; Python is a significant plus.
• AI-Forward: Familiarity with AI-enabled tools (e.g., Microsoft Copilot).
• Domain Expertise: Experience in R&D, PLM, or project-based financial controlling.

Benefits

• Siemens offers a variety of health and wellness benefits to our employees.
• The pay range for this position is $102,459 - $175,644 annually with a target incentive of 10% of the base salary.

Company Description

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.