Manager-Financial Systems

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 tools & capabilities. The individual is expected to play a critical role of partnering with Controllership and broader Finance leadership teams for regulatory & treasury processes supporting Fast Forward initiatives. The position is expected to develop automated reports and analytical capabilities by leveraging tools like Tableau & Power Products, including process analysis, and partner with technical teams to deploy solutions for various finance processes. A strong focus on process optimization and driving results is required.

• 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.

• 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).