Senior Consultant​/Project Lead - Generative AI & Digital Transformation

Role Overview

We are seeking a highly capable and business-savvy Senior Consultant / Project Lead with proven experience in management consulting
, Generative AI solutions
, and end-to-end digital transformation delivery
. This role is responsible for defining business problems, shaping AI-led solutions, driving project execution, and ensuring successful adoption across business units. The candidate will be expected to collaborate with senior stakeholders, lead cross‑functional teams, and deliver measurable business impact through innovative digital initiatives.

• Opportunity Identification & Consulting Advisory
• Conduct in-depth diagnostics including stakeholder interviews, process reviews, data analysis, and market scans.
• Identify meaningful GenAI and automation opportunities across business, operations, risk, compliance, finance, and customer‑experience workflows.
• Build structured problem frameworks and hypotheses to bring clarity to ambiguous business challenges.
• Benchmark industry trends and identify GenAI use cases relevant to the organisation’s strategic goals.
• Build business cases covering benefits, cost drivers, risks, and adoption strategy.
• Solution Design & AI Architecture Alignment
• Translate business problems into well‑defined GenAI solution designs involving LLMs, prompt engineering, NLP, document automation, RAG, chatbots, and workflow automation.
• Work with design teams, solution architects, data scientists, and engineering squads to shape practical, scalable solutions.
• Ensure solutions comply with technology standards, security, data protection, and governance frameworks.
• Challenge existing processes to avoid “automation of inefficiencies” and promote reengineered, customer‑centric journeys.
• Support prototyping, POCs, and technical feasibility assessments of AI models and platforms.
• Requirement Gathering & User Journey Documentation
• Lead requirement‑gathering sessions, storyboarding workshops, and cross‑functional design sprints.
• Document detailed functional requirements, BRDs, user stories, acceptance criteria, and process flows.
• Validate requirements with both business and IT stakeholders to ensure alignment and feasibility.
• Present solution proposals and project updates in steering committees and governance forums.
• Ensure all requirements are traceable from design to delivery to benefits realisation.
• Project & Program Management
• Manage end‑to‑end project lifecycle from use‑case scoping to production deployment.
• Drive strong execution discipline—defining plans, tracking timelines, managing risks, and ensuring clear ownership across teams.
• Anticipate bottlenecks early, expedite where necessary, and facilitate decision‑making among senior stakeholders.
• Coordinate with vendors, technology partners, data teams, and compliance teams as part of large transformation streams.
• Ensure solutions meet quality standards and are delivered within agreed budgets and timelines.
• Business Partnering & Stakeholder Management
• Serve as the primary point of contact for business teams throughout the transformation lifecycle.
• Influence leaders across technology, business, risk, compliance, and operations.
• Translate complex AI concepts into simple, business‑friendly language.
• Guide users during UAT, readiness checks, pilot rollout, and change‑management activities.
• Establish trust by providing expert advisory and quickly addressing queries or challenges.
• Communication, Presentation & Leadership Excellence
• Craft compelling presentations that convert analytical insights into clear narratives for senior leadership.
• Deliver high‑impact communication at VP/SVP/CXO‑1 levels with confidence and structure.
• Prepare documentation suitable for leadership steering committees, ExCo updates, and transformation reviews.
• Mentor junior consultants, business analysts, and project resources where required.

• Hands‑on understanding of Generative AI and LLM technologies (OpenAI, Azure OpenAI, Anthropic, vector databases, RAG pipelines).
• Exposure to ML, NLP, automation (RPA/IPA), workflow orchestration, and digital product engineering.
• Ability to evaluate AI models, design prompt strategies, and recommend implementation…