Manager - Data Science & AI - Technology Consulting

Salary: £58,000 - 98,000 per year

Requirements:

• A completed degree in a relevant discipline or equivalent professional experience.
• Significant experience delivering data science, machine learning or AI solutions.
• Proven experience leading complex projects and multidisciplinary teams.
• Strong knowledge of the analytical lifecycle and practical proficiency in Python and SQL.
• Experience with cloud-based data and AI services and moving solutions into production.
• Strong stakeholder management and communication skills, including the ability to explain technical concepts clearly.
• Experience coaching and developing others, together with the energy to support the growth of the team.
• Experience implementing Responsible AI, AI Governance, Model Risk Management, or AI assurance frameworks.
• Experience deploying AI and machine learning solutions using MLOps, CI/CD, and production monitoring practices.
• Experience delivering AI solutions within regulated industries such as Financial Services, Government, Life Sciences, or Utilities.
• Experience contributing to business development activities, thought leadership, client proposals, or market-facing initiatives.

Responsibilities:

• Lead AI and machine learning engagements from problem definition through development and implementation, ensuring each solution addresses a clear business need.
• Work with senior client stakeholders to turn complex challenges into practical analytical use cases and explain the proposed approach in clear business language.
• Provide technical direction across machine learning and generative AI, helping teams build solutions that are scalable, robust, and maintainable.
• Work with multidisciplinary teams to move solutions from experimentation into production, with appropriate consideration of security and responsible AI.
• Manage delivery plans, budgets, resources, and risks while maintaining strong client relationships and high-quality outcomes.
• Create innovative insights that add value to our clients and to the broader society.
• Champion operational efficiency improvements on projects and internal initiatives and drive projects to completion while ensuring the work is of high quality.
• Understand our consulting service offerings and identify opportunities to better serve clients.
• Build meaningful external relationships with clients and internal relationships across service lines.
• Contribute to the development of the wider Data and AI team by building our brand, attending relevant events, collaborating with other internal teams, and producing thought leadership.
• Establish, maintain, and strengthen internal and external relationships.
• With guidance from partners, directors, and other senior managers, identify potential business opportunities for us to incubate or drive new solutions and services.
• Lead Technology Consulting engagements, managing team performance and commercials including performance reviews, feedback, engagement billings, and estimates to complete.
• Understand, follow, and lead staff in workplace policies and procedures.
• Lead and coach colleagues, create a positive learning culture, and contribute to the continued growth of our Belfast capability.
• Adapt leadership style to fit team, client, and cultural needs, and anticipate and identify risks and escalate issues as appropriate.

Technologies:

• AI
• CI/CD
• Cloud
• Support
• Machine Learning
• MLOps
• Python
• SQL
• Security
• Network

More:

We are EY, and our Data and AI practice is growing as organisations look to improve decisions, products, and services through data science and AI. This Manager role can be based in our Belfast or Derry/Londonderry office and offers the opportunity to work across assurance, consulting, law, strategy, tax, and transactions. We focus on helping clients unlock value from their information assets by embedding innovative data and AI solutions in existing business areas. We offer challenging work, career development, and great job satisfaction, alongside continuous learning, transformative leadership, and a diverse and inclusive culture. We are committed to building a better working world and creating an environment where our people feel they belong and can contribute their best.

last updated 39 week of 2026