Lead AI Engagement Specialist

• Own a portfolio of AI workflows within one or more business functions end to end
• Identify and prioritise AI opportunities based on value, feasibility, data readiness, risk and time to impact
• Map current processes using volumes, cycle times, costs, exceptions, decision points, systems and data
• Redesign workflows, defining agent and human responsibilities, handoffs, escalation paths and controls
• Build business cases with baselines, benefit hypotheses, quantified targets, costs, payback and sensitivity
• Write PRDs, define acceptance criteria and quality bars, and own the functional roadmap
• Partner daily with architects and engineers to make scope decisions, resolve ambiguity, test and accept deliverables
• Define evaluation datasets and monitor live agent performance, including accuracy, quality, escalation, latency, cost and user satisfaction
• Own adoption through enablement, training, communications, champions, policy and SOP updates
• Ensure responsible AI, data handling, privacy and approval requirements are met
• Feed reusable patterns into the AI Centre of Excellence
• Lead and manage other AI Engagement Specialists

• 7+ years in product management, business or digital transformation, operations strategy, or top-tier consulting
• Track record of change that shipped and stuck
• Demonstrable ownership of product specifications or PRDs built by engineering teams
• Strong process redesign capability
• Business case and value modelling expertise, including baselines, unit economics, cost to serve and payback
• Data literacy, including BI tooling and defining and tracking metrics
• Working fluency in AI systems, including retrieval, agents, hallucination and grounding, evaluation, human-in-the-loop, and cost
• Change management and adoption experience with real end users
• Strong influence at senior levels without formal authority
• Excellent written communication
• Deep functional expertise in the covered business function
• Strongly preferred: Enterprise B2B SaaS experience
• Manufacturing, supply chain or ERP domain knowledge
• Experience deploying AI or automation into production
• Experience operating across multiple regions and time zones
• Experience working with system integrators or external delivery partners

• Programs supporting a healthy work-life balance
• Opportunity to join a growing business entering its next phase of expansion and transformation
• Collaborative culture of supportive colleagues
• Growth and opportunity environment
• Idea-sharing prioritized over level or hierarchy
• Compensation packages based on experience and desired skill set
• Diversity, equity and inclusion program
• Equal opportunity workplace