Job Description

1. 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.

2. Key Responsibilities

A. 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.

B. 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.

C. 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.

D. 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, escalate 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.

E. 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.

F. 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.

3. Required Competencies

Technical Competencies

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 patterns. Understanding of APIs, cloud services, microservices, data models, and integration ecosystems.

Consulting & Digital Transformation Competencies

Experience in top-tier or mid-tier consulting firms, innovation labs, digital transformation PMOs, or enterprise strategy teams. Strong capability in process reengineering, customer journey design, and operating model transformation. Ability to convert high-level visions into structured, actionable workstreams. Familiarity with Agile delivery, design thinking, and scaled agile frameworks.

Behavioural Competencies

Executive presence with strong stakeholder influence skills. Analytical, structured, and hypothesis-driven approach. Excellent written & verbal communication; strong storytelling skills. Ownership mindset with the ability to operate independently. High resilience and adaptability in a fast-paced environment.

4. Qualifications

Bachelor's or Master's degree in Engineering, Computer Science, Business, Data Science, AI, or related fields. Consulting, AI, or project-management certifications are a plus (PMP, PRINCE2, Scrum Master, GenAI in Banking, AI Product Management).

5. Experience

7-12 years overall experience

in consulting, AI transformation, digital strategy, or similar roles. Demonstrated success in leading at least

3+ large-scale digital/AI initiatives

. * Experience delivering transformation in

banking, financial services, telecom, enterprise IT

, or similar complex environments (preferred).