Business Process Re Engineering Manager

Principal Consultant AI Process Transformation / Business Process Re-engineering

Role Summary

We are seeking an experienced Business Process Re-engineering and AI Transformation professional to lead AI advisory and process consulting. This role operates across three distinct motions, and the successful candidate must have similar credibility across all three:

• Internal Process Consulting — partnering with the Product and Delivery (across AI, Data and Functional Domain) teams to build and refine Pulse’s own processes and product frameworks, enabling the internal machinery to support fast, standardized delivery.
• External Productized Point-Solution Delivery — responding to specific, bounded customer queries and point-solution requests fast, building and using a standing catalog of reusable diagnostic tools rather than bespoke analysis each time.
• External Proactive AI Advisory — engaging with clients in a proactive manner, to drive thought leadership placing AI at the center of their operating model and lead full-scale business process transformation, defining criteria to allocate work across a mix of AI-led agentic workflows, AI-human hybrid collaboration, and human-led judgment work.

The successful candidate will assess, simplify, standardize, and optimize business processes — both Pulse’s own and its clients' — before AI deployment, ensuring organizations are ready to successfully leverage Agentic AI, automation, and human-AI collaboration models.

Key Responsibilities

Internal Process Consulting

• Partner with the Data Solutions and the Domain teams to assess and improve Pulse’s own internal processes for building, packaging, and delivering reusable assets.
• Apply BPR discipline internally: identify bottlenecks in how Pulse itself creates, tests, and hardens product frameworks before they reach the point-solution catalog.
• Translate internal process findings into concrete improvements to the Best Practice Process Framework, shortening the cycle time between “client inputs” and “building reusable assets.”
• Ensure internal readiness — process maturity, documentation, repeatability — keeps pace with the external commitments the point-solution and advisory motions make to clients.

External: Productized Point-Solution Delivery

• Build and continuously extend a catalog of standing diagnostic tools, mini-assessments, and rapid-response frameworks deployable against a specific customer query without a full transformation program.
• Respond to inbound, bounded customer requests within a defined turnaround SLA, drawing on pre-built assets rather than starting from bespoke analysis.
• Package findings and recommendations from point-solution engagements as candidates for the Best Practice Process Framework, feeding reusable IP back into the wider catalog.

External: Proactive AI Advisory & Transformation

• Proactively identify and reach out to clients where AI could be placed at the center of their operating model, independent of an active point-solution request.
• Analyze end-to-end business processes at a detailed task level; identify bottlenecks, inefficiencies, hand-offs, gaps, and non-value-added activities.
• Design future-state business processes that deliberately allocate work across three modes — AI-led agentic workflows, AI-human hybrid collaboration, and human-led judgment work — matching each task to the mode best suited to it, not defaulting to full automation.
• Design AI-enabled target operating models, governance structures, and decision frameworks.
• Assess client transformation maturity and facilitate AI readiness assessments.
• Develop business cases, transformation roadmaps, and implementation plans.
• Lead cross-functional transformation programmes across business, technology, and operations.
• Define success measures, adoption frameworks, and value-realization plans.

Required Experience

• 14–18+ years in Process Transformation, Business Process Re-engineering, Operational Excellence, Digital Transformation, or Consulting.
• Experience with Lean Six Sigma, Design Thinking, Process Engineering, and Transformation Programmes.
• Understanding of AI, Agentic AI, Automation, and Human-AI operating models.
• Demonstrated experience productizing consulting IP — building reusable, asset-based delivery models rather than exclusively bespoke, one-off engagements.
• Comfortable operating as an internal consultant as well as a client-facing one — able to hold platform and domain product and delivery teams to the same process discipline applied externally.
• Ability to work with senior business stakeholders, technology teams, and product organizations.