Siemens Energy
Provides sustainable energy solutions for a decarbonized future, spanning the entire energy value chain.
Lead AI/ML integration & analytics architecture for finance solutions
15 days ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Orlando, FL
Office Full-Time
Company Size
91,000 Employees
Service Specialisms
Engineering
Project Management
Consulting
Turnkey
Technical Services
Design
Construction services
Manufacturing
Sector Specialisms
Utilities
Independent Power Producers
Transmission System Operators
Oil and Gas Industry
Energy-Intensive Industries
Power Generation
Heat Generation
Thermal Power Plants
Role
Description
alteryx automation
predictive analytics
cloud erp
machine learning
data pipelines
bi dashboards
- Utilize Alteryx for advanced data preparation and automation.
- Implement predictive and prescriptive analytics to support strategic decision-making.
- Architect cloud-based finance solutions and integrate ERP systems (SAP S/4HANA).
- Develop and deploy machine learning models for forecasting, risk management, and performance optimization.
- Design and maintain data pipelines and ETL processes for clean, reliable financial data.
- Ensure data governance, security, and compliance across all AI and analytics initiatives.
- Build interactive dashboards and visualization platforms using Power BI, Tableau, SAP Analytics Cloud for real-time reporting.
- Implement RPA using UiPath and intelligent workflows to automate repetitive finance processes.
- Collaborate with finance, IT, and business stakeholders to align technology solutions with organizational goals.
- Manage data warehousing and analytics with Snowflake for scalable data solutions.
Requirements
azure
aws
alteryx
uipath
power bi
python
- 7+ years of experience in finance transformation, data analytics, or technology architecture.
- Finance Expertise: KPIs, forecasting, risk analysis, regulatory compliance
- Strong knowledge of finance processes and regulatory requirements.
- Cloud & Architecture: Azure, AWS, API development
- Data Engineering & Automation: Alteryx, UiPath, ETL processes
- Visualization: Power BI, Tableau, SAP Analytics Cloud
- Programming & AI: Python, R, SQL, TensorFlow, PyTorch
- Excellent communication and stakeholder management skills.
- Bachelor’s or Master’s degree in Finance, Data Science, Computer Science, or related field.
- Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
- Proven experience in AI/ML model development and deployment.
Benefits
- Career growth and development opportunities; supportive work culture
- 401K savings plan with company match
- Company paid Health and wellness benefits
- Paid Time Off and paid holidays
- Parental leave
- Family building benefits
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
- must be legally authorized for us employment; no employer-sponsored work authorization needed
- current siemens energy employees with visa sponsorship may be eligible for internal transfers
Security clearance
Information not given or found
Company
Overview
- Offers cutting-edge solutions across the energy value chain.
- Evolved into a global leader in energy innovation from pioneering technologies.
- Plays a crucial role in accelerating the world's transition to a low-carbon future, focusing on sustainable energy production.
- Broad portfolio includes gas turbines, power plants, renewable energy systems like wind and solar, supporting the shift to cleaner power.
- Known for highly specialized solutions, from energy storage to grid optimization, helping utilities and industries thrive sustainably.
- Major projects include large-scale renewable energy plants, carbon capture initiatives, and smart grid solutions that help stabilize the power supply.
- Behind some of the world's most innovative and efficient energy technologies, driving change on both small and large scales.
- Distinct for its ability to combine legacy power systems with the latest advancements in renewable energy, shaping the future of power.
Culture + Values
- We embrace sustainability and environmental responsibility.
- We deliver excellence and innovation in everything we do.
- We act with integrity, fairness, and transparency.
- We respect the diversity of people, cultures, and perspectives.
- We are agile and adaptive, finding new ways to innovate and improve.
- We collaborate with customers, colleagues, and partners to achieve shared goals.
Environment + Sustainability
Net Zero by 2050
CO2 Emissions Target
Aiming to achieve net zero CO2 emissions by 2050.
45% Emissions Cut
Reduction by 2025
Targeting a 45% reduction in CO2 emissions by 2025, compared to 2019 levels.
- Aims to lead the energy transition by providing cleaner and more efficient energy solutions.
- Focuses on reducing operational impact by investing in sustainable technologies.
- Portfolio includes products and services to help customers reduce emissions and improve energy efficiency.
Inclusion & Diversity
30% women
Leadership Goal
Target to increase women in leadership positions.
- Aims to achieve a 50/50 gender balance in their global workforce by 2030.
- Focused on building an inclusive and diverse workforce, prioritizing equal opportunities for all employees.