Senior Business Systems Analyst - Data Science Artificial Intelligence

Responsibilities

1. Utilize a robust value-centric methodology to identify valuable opportunities enabled by AI/ML, Predictive/Prescriptive Analytics, Generative AI, Chatbots, and other technologies.
2. Leverage best practices to recommend and advocate for the transformation of finance functions with AI.
3. Conduct exploratory data analysis and leverage AI algorithms to derive value for finance functions, such as forecasting and anomaly detection.
4. Ideate AI solutions, develop scope, design, and facilitate implementation of digital solutions, and coordinate change management.
5. Continuously upkeep and train AI models to ensure integrity and traceability.
6. Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management, and Investor Relations.
7. Collaborate closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI use cases; perform option evaluation; provide support for implementation.
8. Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.
9. Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.
10. Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.
11. Communicate technical concepts and findings effectively to both technical and non-technical audiences.
12. Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.
13. Organize and facilitate workshops with different users and consultants to document processes and drive transformation.
14. Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups.
15. Maintain, support, and optimize digital solutions.