At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.
We’re all in, are you?
Join EY and shape your future with confidence.
The opportunity
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
We are seeking an AI Practice Delivery Lead (Senior Manager) to spearhead our advanced AI engineering practice in a consulting and professional services context. This role is a senior leadership position with end-to-end accountability for client success and practice growth. You will oversee multi-project delivery, shape solution architectures, and ensure technical excellence while also driving sales, go-to-market (GTM) strategy, and P&L management for the AI practice. As a thought leader at the forefront of AI (LLMs, generative AI, knowledge systems, etc.), you will engage C-level client stakeholders across APAC and globally, design transformative AI strategies, and lead teams to implement state-of-the-art AI solutions (LLM-based platforms, intelligent automation, knowledge-driven systems) across industries. This position combines strategic leadership with deep technical credibility to scale AI-driven innovation for our clients and our firm.
Your key responsibilities
- Practice & Delivery Leadership: Oversee the end-to-end delivery of multiple concurrent AI engagements, ensuring projects meet or exceed client expectations in impact, timeline, and quality. Act as Solution Architect and final technical authority, guiding design of complex AI systems (enterprise LLM applications, CV/NLP/analytics solutions, etc.) and ensuring robust, scalable architectures. Establish and enforce best practices, delivery methodologies, and governance standards across the AI engineering practice. Support the production of scalable and optimised AI or machine learning (ML) models. Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models. Run experiments to test the performance of deployed models and identifies and resolves bugs that arise in the process.
- Sales & Business Development: Drive go-to-market and sales efforts for AI engineering services. Partner with account teams to identify and pursue new business opportunities, shape value propositions, and lead client proposals and pitches. Own the development of compelling use-cases, demos, and prototypes that showcase our AI capabilities (e.g., generative AI assistants, vector database-driven search solutions, industry-specific AI accelerators). Take accountability for achieving sales targets and expanding the project pipeline.
- P&L and Practice Management: Serve as the P&L owner for the AI engineering practice or portfolio. Develop business plans and pricing strategies for engagements, managing resource allocation, utilization, and profitability. Monitor financial performance and implement measures to improve margins and delivery efficiency (e.g., optimizing reuse of assets, balancing onshore/offshore mix, efficient GPU resource management to control cloud costs).
- Client Advisory & Relationship Management: Act as a trusted advisor to senior client executives, helping shape their AI strategy and roadmap. Conduct strategic workshops and assessments to identify high-impact AI opportunities. Ensure strong client relationships and satisfaction by regularly engaging sponsors, providing thought leadership, and swiftly addressing any delivery issues or scope changes. Liaise between clients and technical teams to keep solutions aligned with business goals and industry regulations.
- Technical Innovation & Enablement: Stay at the cutting-edge of AI advancements (e.g., new LLM releases, open-source AI frameworks, emerging tools for knowledge graph construction, etc.) and infuse these into our offerings. Guide teams in implementing specialized techniques like model fine-tuning, reinforcement learning, RAG and semantic search architectures, or ontologies where relevant to client problems. Champion responsible AI and ensure solutions meet security, compliance, and ethical standards. Promote innovation by incubating new accelerators, reusable components, and partnerships with technology vendors and AI research communities.
- Team Development & Cross-functional Leadership: Build and grow a high-performing AI engineering team. Mentor managers and senior engineers, fostering a culture of continuous learning and excellence. Recruit top talent and upskill existing team members in advanced AI technologies (e.g., LLMOps, GPU optimization, vector databases). Collaborate closely with other practice leaders (Data, Cloud, Industry SMEs) to deliver integrated solutions. Contribute to internal knowledge sharing, case studies, and thought leadership publications to elevate the firm’s reputation in AI. Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
To qualify for the role, you must have
- Bachelor’s or master’s degree in computer science, Data Science, Engineering, or similar. MBA or other relevant postgraduate degree is advantageous, especially to underscore business management capabilities.
- Relevant certifications (cloud architecture, data science, project management) or evidence of ongoing professional development in advanced AI domains will strengthen candidacy
- 12+ years of experience in advanced analytics, AI engineering, or related technology fields, with at least 3–5 years in a consulting leadership role.
- Proven track record of leading large-scale AI solution implementations for enterprise clients and managing multi-million-dollar programs or portfolios.
- Demonstrated success in meeting or exceeding business targets (delivery KPIs and sales goals).
- Strong business development skills and commercial acumen.
- Proven ability to sell and scope AI engagements, craft proposals, and close deals in a consulting or professional services environment.
- Experienced in shaping statements of work, pricing models, and ensuring profitable delivery.
- Comfortable engaging with procurement and negotiating contracts.
- Extensive knowledge of AI/ML systems design and modern architectures.
- Hands-on familiarity with large language models and genAI (open-source and commercial), as well as classical ML techniques.
- Understanding of AI infrastructure (cloud AI/ML services on Azure, AWS, GCP; NVIDIA GPU stack; distributed computing frameworks) and considerations for performance, reliability, and cost.
- Ability to guide technical teams on topics like model fine-tuning, MLOps, data engineering, and integration of AI solutions into existing enterprise systems.
- Broad exposure to applying AI in multiple industries (e.g., finance, healthcare, consumer products, government).
- Able to quickly grasp domain-specific challenges and tailor solutions accordingly.
- Up-to-date knowledge on industry trends and regulatory environments in the APAC region (e.g., data privacy laws, AI governance) to steer compliant and context-aware implementations.
- Exceptional stakeholder management and communication abilities.
- Experience and comfortable in advising C-suite and senior executives, translating complex technical concepts into strategic business insights.
- Strong presentation and storytelling skills for both technical and executive audiences.
- Experience in thought leadership (presentations, whitepapers) is a plus.
What we look for
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.
What working at EY offers
EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
Company description
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
