Impact You'll Make- Partner with CFOs, controllers, and finance teams to identify opportunities to improve financial reporting, automate processes, and strengthen data infrastructure.
- Design and implement practical data and technology solutions that address complex finance and accounting challenges.
- Develop data pipelines, warehouses, integrations, and reporting solutions that improve financial visibility, accuracy, and operational efficiency.
- Apply automation, analytics, and emerging AI technologies to improve how finance teams manage data, execute processes, and make decisions.
- Work directly with finance leaders and IT teams to assess existing systems, recommend technology solutions, and support implementation.
What You'll Do- Design, build, and implement data architectures, including data warehouses, data lakes, and ETL/ELT pipelines, to support financial reporting, planning, and analytics.
- Develop automated data pipelines to consolidate financial and operational information across multiple systems and entities.
- Implement system integrations using Integration Platform as a Service (iPaaS) solutions, such as Boomi, Workato, MuleSoft, Azure Logic Apps, or comparable technologies.
- Identify and execute opportunities to automate finance processes, including order-to-cash, procure-to-pay, record-to-report, and financial planning and analysis.
- Build and implement financial dashboards, reporting tools, and data visualizations using Power BI, Tableau, or similar platforms.
- Work with CFOs, controllers, and finance leaders to understand business requirements and translate them into technical solutions.
- Evaluate existing technology environments, identify gaps, and recommend improvements to data architecture, systems integration, and reporting capabilities.
- Support and participate in AI and automation workshops with client leadership to identify practical applications for finance and accounting functions.
- Develop and implement automation and AI-enabled solutions to improve financial processes, reporting, forecasting, and data analysis.
- Collaborate with client IT teams on system architecture, integrations, data security, access, and technology implementation.
- Support financial systems integration and data consolidation efforts related to acquisitions and organizational changes.
- Manage technical components of client engagements, including requirements gathering, solution design, development, testing, and implementation.
- Work across multiple client engagements and industries, including middle-market and private equity-backed businesses.
- Contribute to practice development initiatives, internal tools, and the evaluation of emerging technologies.
What You Bring- Strong technical proficiency in Python and SQL, with the ability to independently write, troubleshoot, and maintain code.
- Hands-on experience developing data pipelines, data warehouses, and ETL/ELT processes.
- Experience with cloud data platforms such as Microsoft Fabric, Azure Synapse, Snowflake, Databricks, Google BigQuery, or similar technologies.
- Experience designing and implementing Power BI dashboards, data models, and financial reporting solutions.
- Familiarity with automation platforms such as Power Automate, Alteryx, or robotic process automation (RPA) tools.
- Knowledge of API integrations, data connectivity, and Integration Platform as a Service (iPaaS) technologies.
- Familiarity with ERP and financial systems such as NetSuite, Sage Intacct, Microsoft Dynamics, SAP, QuickBooks, or similar applications.
- Understanding of financial statements, financial reporting, and core accounting and finance processes.
- Ability to translate business and financial requirements into practical technical solutions.
- Experience working with complex datasets across multiple systems, entities, and data sources.
- Familiarity with AI, machine learning, large language models (LLMs), and their applications within finance and accounting is preferred.
- Strong analytical and problem-solving skills with a hands-on approach to technology implementation.
- Ability to communicate technical concepts clearly to CFOs, controllers, and other nontechnical stakeholders.
- Experience gathering requirements, participating in client workshops, and presenting recommendations to business leaders.
- Ability to collaborate with finance, accounting, and IT professionals throughout the project lifecycle.
- Comfortable working in fast-paced client environments with evolving requirements and varying levels of technology maturity.
- Strong organizational skills and the ability to manage multiple priorities and engagements.
- Entrepreneurial mindset with an interest in contributing to the continued growth of Stout's CFO Advisory practice.
Education and/or Training- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Finance, Accounting, or a related field.
- 4–6+ years of experience in data engineering, data analytics, finance transformation, technology consulting, or a related discipline.
- Experience in professional services, consulting, financial systems implementation, or finance-focused technology roles preferred.
- Experience supporting middle-market or private equity-backed companies is a plus.
- Experience with financial reporting automation, systems integration, or data architecture implementation preferred.
- Relevant certifications in Microsoft Azure, Power BI, Snowflake, Databricks, or comparable technologies are a plus.
- Knowledge of additional programming languages such as R or VBA is beneficial.
- Position level will be determined based on experience and qualifications.
How You'll Thrive- Embrace changing client-imposed deadlines with flexibility and adaptability.
- Exhibit strong organizational skills to manage competing priorities effectively.
- Collaborate with engagement leaders and team members while embodying Stout’s core values: Positive and Team-Oriented, Accountable, Committed, Relationship-Focused, Super-Responsive, and being Great communicators.
- Demonstrate a commitment to delivering Relentless Excellence® in client service and team collaboration.
The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.
