Delivery Manager

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment
; you will be joining a winning team with a commitment to sustainability
; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #Make Your Moment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Own end-to-end delivery of the internal AI portfolio and the OneAI platform as the single front door for safe AI across the business. Accountable for prioritisation and predictable execution across platform capabilities and AI solutions, ensuring quality, operational readiness, measurable value, and adoption in partnership with Enablement and Governance.

• Portfolio Ownership and Prioritisation
• Own and maintain two connected backlogs:
  • OneAI platform and OneAI Labs, including publishing workflows, templates, governance enablement, telemetry, and UX
  • AI solutions delivery, including business use cases, automation, and integrations
• Drive prioritisation trade‑offs between platform roadmap and solution delivery, escalating and aligning through the AI Council when required
• Maintain a single, transparent portfolio roadmap with clear milestones, dependencies, and outcomes
• Delivery Leadership and Execution
• Lead delivery across multiple pods and streams, ensuring clear scope, timelines, and value‑focused increments
• Establish and run delivery operating rhythms including planning, backlog refinement, sprint execution, demos, retrospectives, and release cadence
• Manage dependencies across platform, infrastructure, security, data, and enablement work streams
• Ensure each solution is packaged for scale, with reusability via OneAI templates, patterns, and documentation
• Platform and Operations Leadership
• Own OneAI product outcomes including usability, adoption, publishing throughput, and effectiveness as the single front door
• Ensure platform engineering follows enterprise standards including architecture, CI/CD, observability, and identity and permissions
• Run OneAI as a service, including support model, incident processes, release communications, and platform health reporting
• Ensure solutions and agents are publishable and discoverable through OneAI and Labs with appropriate guardrails
• Quality, Safety, and Release Readiness
• Ensure initiatives meet release criteria including testing, evaluation, documentation, monitoring, runbooks, privacy and security controls, and rollout plans
• Partner with Responsible AI and Quality teams to embed quality gates, evaluations, regression testing, and safety reviews into the lifecycle
• Drive operational learnings back into…