WHO YOU’LL WORK WITH:
This role is based in the Enterprise Technology Center of Excellence (ET CoE), part of Bain’s broader “Data & Technology” umbrella within the BCN. The Enterprise Technology CoE provides specialized support on Tech Strategy, Transformation, and Roadmap projects for Bain clients across industries. The ET CoE team acts as the analytical and delivery arm of Bain’s ET Practice, providing expertise in:
- Building and deploying Enterprise Technology diagnostics
- Delivering core technology products for consulting teams
- Working directly with clients to support technology transformations
- Integrating new and emerging technologies such as AI and automation into diagnostics
WHAT YOU’LL DO:
- Map and analyze current-state business processes to identify inefficiencies, bottlenecks, and automation opportunities.
- Lead or support process redesign efforts to define optimized, scalable, and sustainable “future-state” workflows.
- Develop process documentation, SOPs, and playbooks to standardize operations and enable reuse across teams.
- Partner with stakeholders to establish KPIs and performance metrics for continuous process improvement.
- Design and implement automation solutions using low-code/no-code tools (e.g., Power Automate, UiPath, Blue Prism, Apromore, Signavio, Alteryx)
- Collaborate with technology teams to integrate automation workflows into existing data systems and knowledge platforms.
- Support automation governance, including opportunity evaluation, prioritization, and ROI tracking
- Help create reusable automation assets and frameworks to accelerate deployment across projects and functions
- Stay abreast of emerging process improvement methodologies (Lean, Six Sigma, Design Thinking) and automation technologies (Agentic AI, AI-assisted workflows, RPA, process mining).
- Work closely with team leads to build and deploy ET diagnostic tools and contribute actively to IP development
- Understand client needs and situations and adapt to case expectations
- Generate and screen realistic answers based on sound reality checks and recommend actionable solutions
- Strong analytical skills with the ability to interpret complex data and generate actionable insights
ABOUT YOU:
- Candidates should be graduates / post-graduates with strong academic record
- Work experience range in case highest qualification is undergraduate studies – 2-5 years of relevant experience in a professional services context
- Work experience range in case highest qualification is postgraduate studies – 0-3 years of relevant experience in a professional services context
- Ideal candidates have a strong consulting mindset and have contributed to client-facing engagements in areas such as technology modernization, Tech strategy, Process excellence and automation, Tech cost optimization, Application portfolio rationalization etc.
- Strong ability to analyze business processes end-to-end, identifying inefficiencies, redundancies, and automation potential
- Skilled at conducting process diagnostics and developing opportunity assessment and scoring frameworks to quantify potential impact (e.g., effort impact grid, time savings, error reduction, scalability)
- Experience using process mapping and mining tools (e.g., Celonis, Apromore, Signavio, Power Automate Process Mining, ARIS) to capture as-is workflows and pinpoint automation candidates
- Ability to perform root cause analysis and apply Lean / Six Sigma methodologies to define improvement levers
- Skilled in developing business cases for automation and process optimization initiatives, backed by data-driven analysis.Familiarity with change management and adoption strategies for automation rollouts
- Experience in digital transformation delivery, experience using specific project management tools in large IT transformations such as Microsoft Project, ServiceNow, LeanIX, Apromore
- You’ll help design and deploy scalable technology solutions, leverage advanced LLMs like ChatGPT, and implement autonomous agents to drive measurable business value
- Knowledge of using and deploying automation in Digital transformation projects to improve efficiency. Knowledge of advanced GenAI is a plus
- Ability to handle multiple tasks and work under pressure
