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Automation CoE in Controllership is playing a key role in creating state-of-the-art automation solutions. We have a strategic seat at the table, and our unique insights are valued in a highly competitive marketplace and increasingly complex finance environment. This team integrates human thinking with machine efficiency to deliver process excellence. The team works to understand processes, automate repeatable, rule based manual intensive tasks, create analytics to enhance efficiency and effectiveness by various tool integrations and processes reengineering.
Purpose of the Role: The purpose of this role is to drive next-gen finance transformation by combining Generative AI, Agentic AI, cloud, and automation to deliver scalable, high-impact solutions. This role focuses on building AI-first, cloud-native automation to improve efficiency, accuracy, and decision-making across finance processes.
Responsibilities
Design and implement AI-led automation solutions using Generative AI, LLMs, and Agentic frameworks
Build cloud-native data pipelines and automation workflows on GCP (BigQuery, Composer, Dataflow)
Identify automation opportunities across finance processes to reduce manual effort and improve accuracy
Lead end-to-end delivery: solution design, development, UAT, deployment, and scaling
Develop reusable AI components, prompts, and automation frameworks
Drive innovation through POCs on emerging AI technologies and scale successful use cases
Partner with business and technology teams to define automation roadmaps and ensure adoption
Enable self-serve analytics and AI insights for finance stakeholders
Lead team of consultants
Qualifications
0-3 years of Experience in AI/ML, Generative AI, or intelligent automation use cases
Hands-on experience with Google Cloud Platform is a strong plus.
Proficiency in Python, SQL, and data engineering concepts
Experience with ETL, orchestration tools, or workflow automation platforms
Understanding of finance processes (GL, reporting, reconciliations, etc.)
Strong problem-solving, communication, and stakeholder management skills
Ability to drive end-to-end delivery independently in a fast-paced environment
Exposure to finance automation / reporting transformation initiatives will be a plus
Experience with Agentic AI frameworks or advanced LLM applications will be a plus
Master's degree in computer science, Engineering, Finance, Business, or a related field
Experience building AI-powered dashboards or monitoring solutions will be a plus