Job
Description
This role is a part of Enterprise Excellence CitiLean Reengineering Team based out of Gurgaon. The team runs key strategic programs based on business priorities and this role will be responsible for supporting and driving Global EE Lean programs. The team offers various key services including 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 build strong re-engineering skills by leveraging data, having a deep understanding of processes, and developing solutions using core tech and emerging technologies. The ideal candidate will have a passion for problem-solving with a process-driven approach, analyzing data, and a strong aptitude for driving technology flexibility and solutions. It is essential for the candidate 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 opportunities for optimization. - 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 to identify 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 secure buy-in from stakeholders. - Mentor and coach junior team members on CitiLean principles and practices. - Assist in 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 improve decision-making. - Create visualizations and dashboards to effectively communicate data insights. - Perform statistical analysis and modeling to identify trends and patterns in data while maintaining data quality and accuracy. - Conduct sampling studies, time and motion studies, and DILO (Day in the Life Of) analysis to gather data on current processes. - Prepare analysis reports to help stakeholders understand data analysis steps and make informed decisions. - Ensure quality assurance of imported data, collaborating with quality assurance analysts if necessary. - Develop and maintain data collection templates for accurate and timely data collection. **Core Tech:** - Develop and implement automation solutions using Core and Emerging technologies. - Customize automation solutions from use case identification through technical handover and implementation. - Write scripts and code in Python (including Flask, HTML, CSS, JavaScript) to automate tasks and integrate with systems. - Support the identification of automation opportunities and assist in building an automation book of work in partner areas. - Conduct Proof-of-Concepts (POCs) and develop Minimal Viable Products (MVPs) to demonstrate 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 such as Excel, SQL, and statistical software. **Core Tech:** - Intermediate-level Programming experience in Python (including relevant libraries like Flask, Selenium, Pandas, NumPy). - Basic Programming knowledge of HTML, CSS, and Javascript. **Others:** - Excellent communication and presentation skills. - Ability to work effectively with cross-functional teams and senior leadership. - Strong project management and communication skills. **Desired Skills/Experience:** Candidates possessing the following skills/experience will be given preference: - Lean/Six Sigma certification. - Experience with machine learning and AI technologies. - Experience in the financial services industry. - Familiarity with data visualization tools (e.g., 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.,
