AI and Data Science Team Lead (Ireland)

Vacancy Id 2525

About Us

Founded in 2002, CubeMatch is a global financial services consulting firm delivering complex programmes across strategy, technology, digital and innovation. With over 400 employees worldwide, the firm is known for its hands on approach, strong client partnerships and consistent delivery of impactful, lasting results. Despite its global presence, CubeMatch remains proudly people driven, with a flat structure that empowers individuals to contribute, lead and shape the company's direction. The culture is entrepreneurial, collaborative and diverse, fostering innovation, continuous learning and professional growth.

At CubeMatch, joining us means more than taking on a role - it means becoming part of a story we are building together.

Job Description

CubeMatch is seeking an experienced AI & Data Science Team Lead to drive the design, development, and deployment of advanced AI, agentic AI, and machine learning solutions that address complex business and customer challenges at scale. This role combines technical leadership, AI architecture ownership, and strategic delivery, with responsibility for guiding the adoption of modern AI platforms and tools to build secure, explainable, and production ready AI capabilities. The successful candidate will lead the design and governance of AI agents, co pilots, and intelligent decisioning systems, while establishing best practices, reusable frameworks, and responsible AI standards. Working closely with data, architecture, product, and business stakeholders, they will shape AI strategy from discovery through implementation, mentor a high performing team of data scientists and AI engineers, and help embed scalable, AI driven decision making across the organisation.

Key Responsibilities

• Provide technical leadership on the design and implementation of agentic AI systems, including multi agent workflows, tools using agents, orchestration patterns, and human in the loop designs.
• Lead the development of enterprise co pilots and AI assistants using Microsoft Co pilot Studio, aligned to real business workflows and measurable outcomes.
• Define best practices for prompt engineering, memory strategies, tool calling, evaluation, and agent reliability.
• Own end to end AI solution architecture, from experimentation through to production, using AWS Bedrock, Sage Maker, and supporting AWS services.
• Partner with cloud, data, and security architects to design secure, scalable, and compliant AI platforms, including model lifecycle management and environment separation.
• Drive the development of reusable AI assets, agent templates, and reference architectures to accelerate delivery across teams.
• Lead the design and deployment of advanced machine learning and GenAI models, including forecasting, NLP, and decision optimisation, ensuring models are robust, explainable, and production ready.
• Guide the team on model evaluation, monitoring, drift detection, and continuous improvement within regulated environments.
• Ensure strong engineering practices across version control, CI/CD, testing, and deployment of AI systems.
• Partner with business stakeholders, product owners, and analysts to identify high value AI use cases, shape business cases, and run structured discovery engagements.
• Translate ambiguous business challenges into clear AI solution designs with defined success metrics.
• Communicate complex AI concepts clearly and persuasively to senior, non technical stakeholders.
• Attend the Community of Practice meetings and other training and learning settings for your professional development and career enhancement.

Qualifications / Essential Skills & Attributes

• 6+ years' experience in data science, machine learning, or applied AI, with 1+ years leading technical teams or AI delivery.
• Strong experience designing and deploying end to end AI solutions in production environments.
• Hands on experience with Microsoft Co pilot Studio and building AI assistants or co pilots that integrate with enterprise systems.
• Experience working with AWS AI/ML services (i.e. Amazon SageMaker, Amazon Bedrock) or equivalent AI platforms for experimentation, evaluation, and deployment.
• Solid background in Python (and/or R) for data science and machine learning.
• Strong understanding of AI architecture, including model orchestration, APIs, cloud services, and integration patterns.
• Proven ability to communicate complex analytical and AI concepts to both technical and business audiences.
• Experience working within regulated environments, with knowledge of GDPR and AI governance expectations.
• Experience designing or deploying agentic or multi agent AI systems.
• Banking or financial services experience.
• Expertise in areas such as NLP, GenAI, deep learning, or decision intelligence.
• Experience with MLOps / LLMOps practices and tooling.
• Cloud certifications (Azure or AWS) or deep practical cloud experience.
• Experience building and deploying GenAI applications at scale.

Why CubeMatch?

• Being part of a team that values integrity and ethical conduct above all else.
• Collaborating with colleagues who are passionate about driving innovation and positive change.
• Joining an inclusive and diverse workplace where your contributions are recognized and appreciated.
• Accessing professional development opportunities to grow and advance in your career.

Awards and Recognitions

• Women in Finance Awards 2026 - Winner: Diversity, Equality & Inclusion Strategy of the Year
• Europe FinTech Awards 2025 - Winner: Young Achiever of the Year
• FS Awards 2025 - Winner
• Europe FinTech Awards 2024 - Winner: Best Employer Award
• FS Awards 2024 - Winner: Employee Experience Award

Our Values

Relationships & Reputation: We engage with our employees, associates, and clients to build strong, trusted, long lasting relationships that deliver value.

Expertise: We invest in our employees & associates through learning & development, communication, and engagement to allow us to have the best talents to match our clients' needs.

Always evolving: We create a working environment of respect, a culture of listening and learning; while always evolving to ensure we align with the industry's latest needs.

We deliver: We have over two decades of experience where we consistently deliver quantifiable results & sustainable process improvements.

Diversity and Inclusion Statement

At CubeMatch, our drive comes from finding joy in both work and life, drawing inspiration from the diverse perspectives of our team members. We believe in harnessing the power of these differences to drive positive change for our clients and communities, creating a ripple effect of impact.

Every individual is an integral part of our narrative, and we aim to build a workforce that mirrors the diversity of the world around us. We deeply value all the unique qualities that define you, both seen and unseen.

We seek out exceptional talent and provide unwavering support to help our teams learn, grow, and celebrate achievements together. At the heart of our organization lies the belief that unity strengthens us, and diverse viewpoints enrich our approach, enabling us to drive meaningful change.

We acknowledge and appreciate the skills stemming from your life experiences and learning journeys. Whether you're at the beginning of your career, returning to the workforce, exploring new directions, or embracing a fulfilling journey beyond retirement, we recognize the value each path brings, with its own array of working methods.

Above all, we encourage you to embrace your authentic self and prioritize a healthy work life balance, knowing that true success is fuelled by a sense of fulfilment in all aspects of life.

As an equal opportunity employer, all employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.