EY
Market Facing Director (MFD) - AI Business Transformation - TC - FS
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Director MFD - AI Business Transformation – EY
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help build a better working world.
Position Overview
This is a senior market-facing consulting role focused on helping financial services clients reimagine work through AI.
The Director will shape sales cycles into compelling commercially robust transformation engagements.
This role demands an experienced Director who can:
- Work with business leaders alongside technology, data, risk, and change teams.
- Identify measurable AI value opportunities.
- Frame change cases.
- Shape technical solutions.
- Lead pursuit teams to successful wins.
This is not a technology sales role—rather, it is a business transformation leadership role where AI serves as a catalyst for redesigning processes, improving performance, and building trust in responsible deployment.
Role Objective
To develop AI opportunities into won client engagements by:
- Shaping business-led propositions.
- Influencing senior stakeholders.
- Creating solutions that increase revenue, reduce cost, improve customer satisfaction, and lower risk.
Key Client Impacts
-
Lead AI transformation opportunities across:
- Banking
- Insurance
- Wealth and asset management
- Capital markets
- Payments
- Other financial services
-
Work with senior executives to explore how AI, generative AI, automation, and data-led decisioning can transform:
- Business areas
- Operating models
- Customer journeys
-
Translate AI ambitions into specific, high-impact opportunities tied to:
- Revenue growth
- Productivity gains
- Superior customer experience
- Risk reduction
- Operational resilience
-
Execute EY.ai ‘AI Reimagination’ campaigns by integrating:
- Strategy
- Business design
- AI/GenAI
- Data
- Technology
- Risk
- Change
-
Facilitate executive workshops exploring:
- Process redesign
- Role redesign
- Human-AI collaboration
- Service model changes
- Operating model implications
-
Develop value cases and transformation roadmaps to guide clients in prioritising AI investments.
Key Responsibilities
1. Opportunity Shaping & Sales Leadership
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Own end-to-end shaping of AI transformation engagements, from client need to signed agreements.
-
Develop opportunity hypotheses based on:
- Client context
- Sector trends
- Competitive pressures
- Regulatory drivers
- Known business pain points
-
Craft differentiated win themes and client propositions to demonstrate measurable business value.
-
Lead the development of RFPs, SOWs, commercial models, delivery plans, and executive decks.
-
Work with account teams, client partners, and service line leaders to qualify opportunities.
-
Push back and refine client requirements—aligning them to business-led transformation (not tech-led requests).
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2. AI-Enabled Business Transformation
- Help clients redesign work across operations, customer service, claims, underwriting, lending, financial crime, compliance, risk, finance, tech, and relationship management.
- Identify AI-powered redesign opportunities in:
- Processes
- Decisions
- Controls
- Knowledge work
- Customer interactions
- Colleague experience
Advise on AI application architectures, including:
- Agent-led workflows (task automation and approval orchestration)
- Supervised orchestration agents (multi-tool, multi-team coordination)
- Operational agents (pre-approved optimisers)
Support responsible AI adoption by ensuring considerations for:
- Regulatory compliance
- Model risk management
- Data governance
- Ethical implementation
3. Client Leadership & Stakeholder Engagement
-
Build trusted relationships with financial services stakeholders in:
- Business operations
- Technology
- Data
- Risk
- Compliance
- Transformation functions
-
Convince executives to shift from AI interest to AI investment.
-
Simplify complex AI concepts for business leaders—focusing on value, risk, feasibility, and change.
-
Influence decision-making through storytelling, structured problem-solving, and commercial insights.
-
Position EY as a credible AI advisor in the financial services space.
4. Internal Leadership & Collaboration
-
Mobilise cross-functional teams across:
- AI/GenAI
- Data
- Technology
- Cloud
- Cyber
- Risk
- Business design
- Process improvement
- Managed services
-
Partner with delivery leaders to ensure practical, responsible, and profitable solutions.
-
Contribute to practice growth:
- Proposition and thought leadership
- People development
- Strategy and go-to-market plans
-
Support internal governance on:
- Pricing
- Risk reviews
- Quality assurance
Essential Experience
-
15+ years in consulting (preferably at Big 4, strategy consulting, or tech transformation firms).
-
Extensive financial services experience with deep knowledge of:
- Sector commercials
- Operations
- Regulatory landscapes
- Tech environments
-
Demonstrated track record in:
- Shaping and winning complex transformation proposals (e.g., RFPs, propositions, senior-led sales cycles).
- Applying AI, GenAI, automation, and data to business transformation.
- Developing value cases, roadmaps, operating models, and delivery frameworks.
-
Proven ability to:
- Lead multidisciplinary teams in high-stakes pursuit environments.
- Engage with C-level executives.
- Balance the needs of business, tech, data, risk, and operations.
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- Strong commercial instincts in:
- Pricing
- Scope
- Delivery risk
- Margin management
Essential Skills
-
Strategic thinking and structured problem-solving.
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Consultative sales and senior client relationship management.
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Executive-level communicator (storytelling, facilitation, presentations).
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Deep financial services expertise.
-
Ability to translate AI capabilities into practical value.
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Exceptional proposition development, deal shaping, and pursuit leadership.
-
Keen commercial judgment, including engagement economics and contracting.
-
Expertise in:
- Leading teams without authority
- Responsible AI, data governance, regulatory risk, and compliance
Preferred Experience & Qualifications
-
Specialised experience in AI transformation for:
- Customer operations
- Lending/underwriting
- Claims processes
- Financial crime prevention
- Compliance/risk management
- Wealth/wealth advisory
- Contact centre & agent services
-
Proposition development expertise for:
- GenAI
- Agentic workflows
- Intelligent automation
- AI/GenAI operating models
- AI adoption at scale
-
Knowledge of:
- Cloud platforms
- Enterprise architecture
- Workflows
- AI delivery methods
-
Experience with large regulated financial services entities is a plus.
-
Prior revenue/ targets/pipeline responsibility.
-
Thought leadership or sales asset development (e.g., proposals, thought pieces).
-
Degree in:
- Business
- Finance
- Economics
- Engineering
- Computer science
- Data science
A title in relevant certifications (AI, data, cloud, financial services, etc.) will enhance candidacy.
Candidate Profile
The ideal candidate combines:
- Commercial leadership with financial services expertise.
- Practical AI/GenAI business transformation insight.
- Ability to:
- Operate with executive stakeholders.
- Challenge client thinking.
- Refine AI strategies into business-led opportunities.
- Cultivate confidence in responsible AI adoption within regulated environments.
What Working at EY Offers
Competitive Rewards & Flexibility
- Performance-based remuneration package.
- Total Rewards program with:
- Flexible working options
- Career development support
- FlexEY benefits tailored to your needs:
- Holidays
- Health & well-being
- Insurance
- Savings opportunities
- Discounts & offers
Professional Growth & Support
- Insightful coaching, feedback, and mentorship.
- Continuous opportunities for:
- New skills
- Career progression
- Flexible work principles for personal autonomy.
Join us in building a better working world.
EY is shaping the future with clients, stakeholders, and employees leading global change. Building a better working world. 🌍
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