Senior Analyst, AI & Automation

Role Summary

Senior Analyst to join the Finance Transformation team, supporting the implementation of AI and advanced technology solutions to drive innovation and efficiency across Finance. The role collaborates with cross-functional teams including BTS, data scientists, project managers, and business stakeholders to identify AI and Automation opportunities, assist with deployment strategies, and help integrate AI technologies into business processes.

Responsibilities

• Supports the execution of the strategic direction for AI deployment within Finance, working with leadership and stakeholders to operationalize proof of concepts, and larger program deployments.
• Engages business partners to identify and prioritize AI use cases; help assess feasibility, risks, and value creation opportunities.
• Collaborates with stakeholders to help ensure AI solutions are developed and implemented in alignment with relevant regulations, privacy, and ethical standards.
• Helps define and track key performance indicators (KPIs) for AI projects; assist in evaluating success, impact, and areas for improvement.
• Participates in the development and operationalization of AI deployment roadmaps and strategies; prepare status updates for management as needed.
• Builds and maintains relationships with internal teams and external vendors to stay informed on AI trends and best practices.
• Assists with change management, training, and communications to encourage adoption and understanding of AI technologies.
• Stays up to date on AI advancements and support continuous improvement within the team’s AI processes.
• Coordinates with project managers and technical staff to enable effective integration of AI solutions into business workflows.
• Mentors and supports a culture of innovation and collaboration.

Qualifications

• Bachelor’s degree in computer science, engineering, information technology, business, or a related field. Master’s degree is a plus.
• 4+ years of experience in data analytics, AI/ML projects, automation, or technology-enabled business transformation.
• Strong business acumen and demonstrated ability to align technology and AI projects with organizational objectives.
• Proven data science knowledge or hands-on experience is required, including familiarity with machine learning, data analysis, and AI methodologies in real-world business settings.
• Experience managing or supporting projects involving multiple stakeholders.
• Strong analytical, organizational, and problem-solving skills.
• Excellent communication and interpersonal abilities; able to work with both technical and non-technical audiences.
• Strong financial acumen and familiarity with financial systems and processes.
• Demonstrated adaptability in fast-paced or changing environments.
• Passion for continuous improvement and staying updated on industry trends.
• Ability to get results through collaboration and coordination with multiple stakeholders, both internal and external.

Education

• Bachelor’s degree in computer science, engineering, information technology, business, or a related field. Master’s degree is a plus.