Manager-Financial Systems
American Express · Posted Oct 5
Banking, credit card, payment network, and travel services
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About the role
The Finance Automation COE team within the Finance Technology Data & Transformation (FTD&T) group strengthens business engagement and delivers critical projects and initiatives using process automation and advanced technologies. The role partners with Controllership and broader Finance leadership on regulatory and treasury processes supporting Fast Forward initiatives, developing automated reports and analytical capabilities with tools such as Tableau and Power Products. The Manager will lead end-to-end delivery of enterprise-scale AI/GenAI and automation solutions for finance processes, from requirements and process analysis through deployment with technical teams.
What you will do
- Lead end-to-end product delivery across the lifecycle—ideation, strategy, design, development, testing, deployment, and post-production support for enterprise-scale AI/GenAI solutions.
- Collaborate with business stakeholders to identify opportunities for AI/ML and GenAI adoption, translating business problems into scalable, data-driven technical solutions.
- Drive requirements gathering and analysis, creating clear user stories, acceptance criteria, and functional/technical documentation.
- Partner with engineers, and architects to design and integrate AI/ML models and GenAI capabilities (e.g., LLM-based solutions, prompt engineering) into business workflows.
- Identify and implement intelligent automation and process optimization initiatives using AI, ML, Business Process Management, and analytics tools to improve operational efficiency and customer experience.
- Participate & Support in Agile ceremonies (Scrum/Kanban) and ensure smooth delivery using tools like Jira/Rally, managing backlog prioritization and sprint planning.
- Act as a bridge between technical and non-technical teams, effectively communicating complex AI concepts to stakeholders at all levels.
- Drive data-driven decision-making, leveraging analytics, KPIs, and insights to continuously enhance product performance and business outcomes.
- Manage multiple concurrent initiatives in a fast-paced environment, ensuring timely delivery, quality, and alignment with strategic goals.
- Build and maintain strong stakeholder relationships, influencing cross-functional teams to achieve alignment and successful execution.
- Evaluate existing business processes to identify gaps, risks, and opportunities for automation and AI-led transformation.
- Contribute to continuous improvement initiatives, fostering a culture of innovation, experimentation, and learning agility within teams.
Skills used in this role
What the employer is looking for
- 8+ years of experience in enterprise product development and delivery, with hands-on involvement across the full product lifecycle—ideation, strategy, design, development, testing, deployment, and maintenance in large-scale, complex environments.
- Strong ability to translate business problems into technical solutions, including AI/ML and GenAI-driven use cases.
- Proven expertise in requirements gathering, analysis, and documentation, including creation of user stories, acceptance criteria, and functional specifications.
- Experience working with AI/GenAI tools and frameworks (e.g., LLMs, prompt engineering, automation tools), with the ability to identify and implement intelligent automation opportunities.
- Solid understanding of machine learning concepts, data-driven decision making, and AI product lifecycle, including model integration into business workflows.
- Hands-on experience with Agile methodologies (Scrum/Kanban) and end-to-end delivery using tools such as Jira or Rally.
- Strong analytical, problem-solving, and critical thinking skills, with a focus on continuous improvement and innovation.
- Experience in business process evaluation and optimization, leveraging AI, ML, BPM, and automation tools to drive efficiency and scalability.
- Excellent communication and stakeholder management skills, with the ability to articulate complex AI/technical concepts to both technical and non-technical audiences.
- Proven ability to collaborate across cross-functional teams and influence stakeholders to drive alignment and delivery.
- Awareness and/or hands-on experience with automation ecosystems, including Data Analytics, Machine Learning, Business Process Management (BPM), and open-source AI technologies.
- Ability to manage multiple priorities in a fast-paced, dynamic environment, ensuring timely and high-quality delivery.
- Banking/Financial Services domain experience is preferred, especially in data-driven or AI-led transformation initiatives.
- Demonstrated learning agility, curiosity, and adaptability to emerging technologies, particularly in the evolving AI/GenAI space.
- Bachelor’s degree in Computer Science, Engineering, Finance, or a related technical field (preferred).
Benefits and support
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
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