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.
- 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).
- 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.