Job Description

• Act as a liaison between our lines of business and technology partners by facilitating the delivery of highly complex business problems to be solved with automated solutions.
• Support the business in the alignment of their Intelligent Automation (IA) needs/usage with their technology and business strategies.
• Support the development of the automation analysis and design methodology, including the related policies, procedures, tools and artifacts, to ensure a “rapid” implementation process that aligns with established release cycles and related enterprise standards.
• Work directly with subject matter experts within the lines of business to fully comprehend business processes and translate those processes into clear and concise user stories, create and groom the backlog for automation delivery and deployment
• Support automation testing, as well as facilitate user acceptance testing
• Conduct product demos, provide product acceptance
• Proactively notify stakeholders of risks, bottlenecks, problems, issues, and concerns
• Ensure compliance with System Development Lifecycle and Information Security requirements.
• Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.
• Provide in-depth and sophisticated analysis applying interpretive thinking and design thinking to define problems, develop innovative solutions and influence strategic functional decisions.
• Drive accountability for assigned initiatives, limit risk exposure, and create efficiencies as appropriate.
• Collaborate and consult with members of the Business Execution team and team leaders to drive strategic initiatives.
• Respond and collaborate with developers regarding the requirements and the client needs
• Make decisions product/functionality/experience area requiring strong understanding of the business, policies, procedures and/or compliance requirements.

• AI, Gen-AI, Agentic AI, multi-agent systems, and orchestration platforms, with ability to translate business needs to technical requirements.
• Experience in leading and collaborating with Engineering teams to design and implement AI, Agentic AI workflows using LangChain/LangGraph, Google Agent Space, MS CoPilot Studio, etc.,

• AI/ML solutions in regulated environments.
• Strong understanding of Agile methodologies and enterprise software development.
• Familiarity with Gen AI platforms (e.g., OpenAI, Azure OpenAI, BloombergGPT).
• Excellent communication and stakeholder management skills.