Finance Data Architect at Siemens

Job description

Finance Data Architect Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds, thereby improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? Transform the everyday with us! Who are we? At Siemens Grid Software, we accelerate and secure a successful Energy Transition Today the energy world is changing to become carbon neutral. Distributed Energy Resources are growing rapidly and decentralized power generation is transforming how energy systems operate. Utility companies are rethinking their IT/OT landscapes and require agile, data-driven solutions to operate efficiently and securely. At Siemens Grid Software, we are at the forefront of this transformation, enabling our customers through advanced digital solutions, analytics, and software platforms. Find out more about the Digital world of Siemens Grid Software here: new.siemens.com Our Culture At Siemens Grid Software, we foster an ownership culture where employees take responsibility, collaborate openly, and continuously improve. We value innovation, transparency, and data-driven decision-making. Our teams operate globally and work closely across functions to drive meaningful business outcomes. We have major locations in Minneapolis, MN; Foster City, CA; Schenectady, NY; Houston, TX; and Wendell, NC. This is a remote opportunity and is located in the United States. Who are we seeking? 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. You will make an impact by: Qualifications & Key Competencies • Analytical Rigor & Curiosity: You don't just "run" reports; you interrogate the data. You have a natural drive to understand the "why" behind the numbers and the "how" behind the data flow. • Self-Directed Ownership: As a "builder" in a remote environment, you must be a high-agency individual who can identify a problem, design a solution, and execute it with minimal supervision. • Data Storytelling & Influence: The 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." You have an uncompromising eye for detail and understand that a dashboard is only as good as the governance behind it. • Resilience & Stakeholder Partnership: You possess the "strong resolve" necessary to partner with high-performing, autonomous teams. You can hold the line on data standards and financial discipline while remaining a collaborative business partner. • Continuous Improvement Mindset: You are never satisfied with "how we’ve always done it." You are constantly looking for ways to automate, simplify, and scale our financial operations. Required Education & Skills • Bachelor’s degree in a quantitative field (Finance, Accounting, Data Analytics, Information Systems, or Engineering) with 8+ years of applicable experience. • We value candidates who can bridge the gap between financial logic and data architecture. Must have 8plus years of 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) to drive development efficiency. • Domain Expertise: Experience in R&D, PLM, or project-based financial controlling. Why this role is unique • Engineer the Finance Data Stack: A majority focus on building scalable data infrastructure, moving beyond traditional static reporting. • Architect the 'Single Source of Truth': Lead the effort to shape and standardize datasets across the entire business lifecycle. • Master the Modern Data Stack: Work at the cutting edge of finance technology, integrating enterprise ERP (SAP) with cloud-based analytics (Snowflake & Power BI). • Be the Architect, Not Just the Consumer: This is a "builder" role designed to develop a next-gen skillset at the intersection of Finance, Data Engineering, and Strategic Controlling. About Siemens: 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. Learn more about Siemens here . Our Commitment to Equity and Inclusion in our Diverse Global Workforce: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us. You’ll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: benefitsquickstart.com The pay range for this position is $102,459 - $175,644 annually with a target incentive of 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form . If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. Application Deadline This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here . Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

Requirements

Must-haves

Finance Data Architect
Transform the everyday with us!
At Siemens Grid Software, we accelerate and secure a successful Energy Transition
At Siemens Grid Software, we are at the forefront of this transformation, enabling our customers through advanced digital solutions, analytics, and software platforms.
Find out more about the Digital world of Siemens Grid Software here:
Qualifications & Key Competencies
Analytical Rigor & Curiosity: You don't just "run" reports; you interrogate the data. You have a natural drive to understand the "why" behind the numbers and the "how" behind the data flow.
Self-Directed Ownership: As a "builder" in a remote environment, you must be a high-agency individual who can identify a problem, design a solution, and execute it with minimal supervision.
Data Storytelling & Influence: The 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." You have an uncompromising eye for detail and understand that a dashboard is only as good as the governance behind it.
Continuous Improvement Mindset: You are never satisfied with "how we’ve always done it." You are constantly looking for ways to automate, simplify, and scale our financial operations.
Required Education & Skills
Bachelor’s degree in a quantitative field (Finance, Accounting, Data Analytics, Information Systems, or Engineering) with 8+ years of applicable experience.
We value candidates who can bridge the gap between financial logic and data architecture.
The Architect’s Toolkit: Expert-level Power BI (DAX) and Power Query (M).

Nice-to-haves

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) to drive development efficiency.
Domain Expertise: Experience in R&D, PLM, or project-based financial controlling.
Why this role is unique
Engineer the Finance Data Stack: A majority focus on building scalable data infrastructure, moving beyond traditional static reporting.
Architect the 'Single Source of Truth': Lead the effort to shape and standardize datasets across the entire business lifecycle.
Master the Modern Data Stack: Work at the cutting edge of finance technology, integrating enterprise ERP (SAP) with cloud-based analytics (Snowflake & Power BI).
Be the Architect, Not Just the Consumer: This is a "builder" role designed to develop a next-gen skillset at the intersection of Finance, Data Engineering, and Strategic Controlling.

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agileaisqlpython

Platform: avature
Effort: medium

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