Company Description
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
1. Portfolio Ownership and Prioritisation
* Own and maintain two connected backlogs:
o OneAI platform and OneAI Labs, including publishing workflows, templates, governance enablement, telemetry, and UX
o 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
2. 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
3. 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
4. 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
5. 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
6. 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
1. IFS Referral Bonus Code: SH
2. Job Location: Remote