Manager-Financial Systems at American Express Malaysia Sdn Bhd

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Development, Product Delivery, Strategy, Design, Development, Testing, Deployment, AI, GenAI, Requirements Gathering, User Stories, Agile Ceremonies, Jira, Rally, Data-Driven Decision-Making, Stakeholder Management

Industry

Financial Services

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The Finance Automation COE team within the Finance Technology Data & Transformation (FTD&T) group is responsible for strengthening business engagement framework, identifying and delivering results on critical projects and initiatives leveraging process automation and the use of advanced technologies. We are looking for a motivated colleague who is collaborative and passionate about transforming processes using automation and technology tools to solve difficult business issues. The ideal candidate is expected to have a combination of fin-tech knowledge, product ownership and project management skills. The role is expected to lead Automation initiatives, hybrid solutions including AI, Gen AI & self-service capabilities to support sizable and multi-year US Regulatory, Guardian, Lumi & Finance automation initiatives. The individual will report to Finance Automation COE Director and will be based in Gurugram, India. The role includes performing process analysis, solution design and partnering with stakeholders to deploy technology solutions. Key Responsibilities: 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 Required 5+ 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. Demonstrate strategic thought leadership; superior problem-solving and analytical skills, ability to assess business objectives/strategies and define/implement appropriate strategies. Proactive, and collaborative work style. 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). We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: 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 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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Responsibilities

The role involves leading end-to-end product delivery for enterprise-scale AI/GenAI solutions, collaborating with stakeholders to translate business problems into scalable, data-driven technical solutions. Key tasks include driving requirements gathering, partnering with engineers on model integration, and identifying intelligent automation opportunities.