TL;DR

Senior Delivery Lead (AI): Driving delivery excellence across multiple Agile teams and workstreams within the AI & Automation team, ensuring alignment with strategic objectives and fostering a culture of continuous improvement. Focus on orchestrating Agile delivery, managing complex dependencies, and ensuring successful outcomes across the product lifecycle.

Location: Onsite in Nottingham, United Kingdom

Company

%hirify_global% is a leading global financial markets infrastructure and data provider, dedicated to driving financial stability, empowering economies, and enabling sustainable growth.

What you will do

Own and drive delivery strategy across multiple Agile teams, ensuring alignment with product and technology roadmaps.
Lead Agile ceremonies and delivery planning, championing best practices and coaching Scrum teams.
Manage inter-team dependencies, risks, and resource planning across multiple workstreams.
Act as a key point of contact for senior stakeholders, providing clear updates on delivery status, risks, and mitigation plans.
Establish and maintain high-quality delivery metrics, reporting frameworks, and continuous improvement initiatives.
Proactively identify and resolve delivery risks, blockers, and impediments.

Requirements

Proven experience in a senior delivery lead or scrum master role within Agile software development environments, ideally across multiple teams or programs.
Strong understanding of Agile frameworks (Scrum, Kanban, Scaling approaches) and project delivery governance.
Experience managing complex dependencies, resource planning, and cross-functional collaboration.
Excellent communication and stakeholder management skills, with the ability to influence at all levels.
Proficiency in delivery tools such as JIRA, Confluence, and Asana.
Demonstrated ability to lead through ambiguity, drive outcomes, and foster team accountability.

Nice to have

Certified Scrum Master (CSM), SAFe Agilist, or equivalent Agile certification.
Knowledge of data privacy, model interpretability, and responsible AI practices.
Contributions to open-source LLM or MLOps projects.
Experience in Finance sector and/or risk management.
Experience in AWS Bedrock LLM models.

Culture & Benefits

A culture of connecting, creating opportunity, and delivering excellence.
Commitment to diversity and inclusion, actively seeking unique backgrounds and perspectives.
Encouragement for personal growth through various avenues and opportunities.
Operating as a global organization spanning 70 countries.
Adherence to core values: Integrity, Partnership, Excellence, and Change.
Access to tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.