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 #MakeYourMoment 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.
Job Description
Role Purpose
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.
Key Responsibilities
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 workstreams
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 delivery and platform practices through post-mortems, prevention backlog, and reliability improvements
Team and Capability Leadership
Build, lead, and coach cross-functional teams including AI engineers, data scientists, solution architects, automation specialists, and platform engineers
Line manage delivery and platform roles including hiring, performance management, and development
Define clear ownership boundaries and handoffs across pods, platform, and federated partners
Stakeholder Management and Value Realisation
Act as the primary delivery and platform point of contact for in-flight work with business and IT stakeholders
Translate objectives into deliverable increments with success metrics and measurable outcomes
Track value and adoption outcomes in partnership with Enablement, including training, communications, change management, and champion activation
Success Measures (KPIs)
Delivery Performance
Delivery predictability including on-time milestones and sprint goal achievement
Reduced unplanned work
Time to value from intake to first usable release and production
Quality and Operational Readiness
Defect leakage, rollback frequency, evaluation pass rates, incident rate
Monitoring coverage, runbook completeness, supportability, and handover quality
OneAI Platform Outcomes
Adoption metrics such as monthly active users and repeat usage
Publishing throughput including time to publish and number of reusable templates, apps, and agents
Platform health including availability, performance, incident trends, and cost signals
Stakeholder Outcomes
Stakeholder satisfaction across business and IT
Measurable value, savings, and reuse rates
Qualifications
Required Experience and Skills
Proven leadership delivering software, data, or AI programmes across multiple parallel streams
Strong agile delivery capability including backlog ownership, prioritisation, execution cadence, and dependency management
Experience running production services with operational accountability such as SLOs, incident management, and release discipline
Ability to work within architecture, security, privacy, and governance constraints while maintaining delivery speed
Strong product judgement for platform trade-offs including roadmap decisions, usability, adoption, and service model
Excellent communication skills including executive reporting, risk management, and stakeholder alignment
Nice to Have
Experience delivering GenAI solutions, MLOps, or AI-enabled automation in enterprise environments
Familiarity with Microsoft ecosystem including Azure, M365, Teams, and Copilot, and related integration patterns
Experience implementing AI evaluation, safety, and compliance gates at scale
Working Style
Pragmatic and outcome-driven with the ability to balance speed, reliability, and risk controls
Comfortable operating in ambiguity, creating structure, and building repeatable delivery and platform playbooks
Strong coach and people leader capable of scaling teams and improving delivery maturity