Job
Description
This role is part of Enterprise Excellence CitiLean Reengineering Team based out of Gurgaon. The team runs key strategic programs based on business priorities. You will be responsible for supporting and driving Global EE Lean programs. The team's key offerings include Revenue Enhancement, Operating Model and Process Optimization, Data Analytics, Project Management Framework, Digitization/Automation, and Training/Certifications. The EE CitiLean team collaborates closely with senior leadership to address strategic problem statements across the franchise. This role serves as a steppingstone to develop strong re-engineering skills by leveraging data, understanding processes deeply, and creating solutions using core tech and emerging technologies. As a successful candidate, you should have a passion for problem-solving through a process-driven approach, analyzing data, and demonstrating a strong aptitude for driving technology flexibility and solutions. It is essential to have a keen interest in researching and staying updated on new and emerging industry-relevant technologies that could potentially impact or disrupt the financial industry. Key Responsibilities: **Process Re-engineering:** - Support and participate in process improvement initiatives using CitiLean methodologies such as Lean and Six Sigma. - Analyze existing processes to identify pain points, bottlenecks, and optimization opportunities. - Develop and implement process re-engineering solutions, including process maps, value stream maps, and future state designs. - Facilitate workshops and Kaizen events to drive process improvements. - Conduct root cause analysis and address underlying process issues. - Develop and track key performance indicators (KPIs) to measure the impact of process changes. - Create compelling business cases and presentations to gain buy-in from stakeholders. - Mentor and coach junior team members on CitiLean principles and practices. - Support the development and implementation of mobilization plans for process improvement initiatives. **Data Analysis:** - Gather, analyze, and interpret data from various sources to support process re-engineering efforts. - Develop data-driven insights and recommendations to optimize processes and enhance decision-making. - Create visualizations and dashboards to effectively communicate data insights. - Perform statistical analysis and modeling to identify trends and patterns in data while ensuring data quality. - Conduct sampling studies, time and motion studies, and DILO (Day in the Life Of) analysis to gather process data. - Prepare analysis reports to help stakeholders understand data analysis steps and make informed decisions. - Provide quality assurance of imported data and maintain data collection templates. **Core Tech:** - Develop and implement automation solutions using Core and Emerging technologies. - Customize automation solutions from use case identification to technical handover and implementation. - Write scripts and code in Python (including Flask, HTML, CSS, JavaScript) for task automation and system integration. - Assist in identifying automation opportunities and building automation book of work in partner areas. - Conduct Proof-of-Concepts (POCs) and develop Minimal Viable Products (MVPs) to showcase the value of automation solutions. - Research and evaluate new automation tools and technologies. - Support the implementation of best practices for automation development and deployment. Required Skills/Experience: **Process:** - Strong analytical and problem-solving skills. - Experience with process mapping and analysis tools. **Data Analysis:** - Proficiency in data analysis techniques and tools like Excel, SQL, and statistical software. **Core Tech:** - Intermediate-level Programming experience in Python including libraries like Flask, Selenium, Pandas, NumPy. - Basic Programming knowledge of HTML, CSS, and Javascript. **Others:** - Excellent communication and presentation skills. - Ability to collaborate effectively with cross-functional teams and senior leadership. - Strong project management and communication skills. Desired Skills/Experience: Candidates with the following skills/experience will be preferred: - Lean/Six Sigma certification. - Experience with machine learning and AI technologies. - Background in the financial services industry. - Proficiency in data visualization tools like Tableau, Power BI. - Knowledge of relevant regulatory and compliance requirements. Educational Level: - Bachelor's/University degree or equivalent experience. A graduate degree from a top-tier institution is preferred. Required Travel: - Yes, up to 25-30% of the time based on business requirements. Competencies: - Highly motivated, organized, and methodical. - Logical, analytical, and rational thinker. - Demonstrated team player. - Willingness to continuously learn and adapt to new technologies and practices. Citi is an Equal Opportunities Employer. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,
