Associate – Business Process & AI Transformation

As an Associate you will support the delivery CCOR Operations Transformation Capability AI-enabled initiatives within CCOR by conducting end-to-end process analysis, process mapping, process reimagination, and operating model design. You will partner with operations stakeholders, process owners, product delivery, technology, data science, and controls teams to identify inefficiencies and define future-state workflows. You will translate business needs into clear requirements and acceptance criteria to enable solution design and implementation. You will support testing, validation, and implementation readiness to confirm delivered solutions align to the agreed future-state process. You will help establish baselines and success measures to track benefits, controls, monitoring, and continuous improvement.

Job responsibilities

• Develop detailed current-state and future-state process maps using Business Process Model and Notation (BPMN) 2.0, capturing workflows, decision points, hand-offs, exceptions, dependencies, and human interventions.
• Analyze existing processes to identify inefficiencies, manual effort, duplication, bottlenecks, and control gaps; redesign workflows to simplify operations and improve quality, efficiency, and consistency.
• Identify and assess opportunities for large language model-based solutions, guided pathways, agentic workflows, low-code automation, and other intelligent solutions based on business needs, process suitability, and expected outcomes.
• Translate process analysis into proposed future-state operating models, defining roles, responsibilities, human decision points, exception handling, quality checks, and interactions between operations and technology-enabled solutions.
• Partner with process owners and business stakeholders to document business requirements, user journeys, functional needs, acceptance criteria, and process-level requirements for solution design and implementation.
• Coordinate with operations, product, technology, data science, risk, and controls teams to validate feasibility, identify dependencies, align solution design, and incorporate stakeholder feedback throughout the transformation lifecycle.
• Support solution walkthroughs, user acceptance testing, process validation, and implementation readiness; verify delivered solutions align with the agreed future-state process and business requirements.
• Establish process baselines and success measures, track expected benefits, and define requirements for controls, documentation, ongoing monitoring, and continuous improvement after implementation.

Required qualifications, capabilities, and skills

• Master’s degree / Post Graduate Degree from a reputed College / University
• Experience: 7+ years of relevant experience in business process management, business analysis, operations transformation, process excellence, or technology/artificial intelligence-enabled change initiatives in Risk, Compliance or Finance processes.
• Process modeling: Demonstrated ability to develop and interpret BPMN 2.0 process maps, including complex workflows, decision gateways, exception paths, system interactions, and cross-functional hand-offs.
• Process analysis: Strong analytical skills to assess current-state processes, identify root causes and pain points, challenge existing practices, and develop practical, simplified future-state workflows.
• Artificial intelligence & automation awareness: Working understanding of large language models, artificial intelligence assistants, agentic workflows, and low-code/no-code automation, including where these approaches can improve processes and where human oversight remains necessary.
• Business analysis & documentation: Ability to translate business problems into clear requirements, process documentation, user stories, acceptance criteria, operating procedures, and implementation artifacts.
• Stakeholder management: Strong communication and collaboration skills with the ability to engage senior stakeholders, process owners, operations, product, technology, data science, and controls stakeholders to build alignment across teams.
• Controls & risk awareness: Understanding of operational risk, process controls, auditability, exception management, and the importance of embedding applicable policy and control requirements into future-state process designs.
• Structured delivery: Ability to manage multiple workstreams, work through ambiguous business problems, track dependencies, and deliver high-quality outputs within agreed timelines.

Preferred qualifications, capabilities, and skills

• Exposure to process-modeling tools such as Lucid, Visio, Signavio, or equivalent BPMN platforms; familiarity with Agile delivery, Lean Six Sigma, process mining, or automation platforms; relevant BPM, business analysis, or process improvement certifications.
• Understanding of AI & Agentic delivery methodologies