QAD develops enterprise resource planning software for manufacturers and supply chain teams. Its Adaptive Enterprise platform brings together tools for production scheduling, inventory, supply chain planning, quality management and trade compliance, helping organizations coordinate operations and use data to respond to changing business conditions. QAD serves sectors including automotive, consumer products, food and beverage, and industrial manufacturing. The company hires across a broad employee base; explore its current openings to learn which roles are available.
Lead AI Engagement Specialist at QAD
Lead AI workflow strategy, delivery, adoption, and performance at QAD. Help transform manufacturing and supply chains through its intelligent platform.
Description
- Own and deliver AI workflows across one or more business functions.
- Prioritise AI opportunities by value, feasibility, data readiness, risk, and time to impact.
- Document current processes, including volumes, cycle times, costs, exceptions, decisions, systems, and data.
- Redesign workflows by defining agent and human roles, handoffs, escalation routes, and controls.
- Develop business cases with baselines, benefit hypotheses, measurable targets, costs, payback, and sensitivity analysis.
- Write product requirements documents, set acceptance criteria and quality standards, and manage the functional roadmap.
- Work with architects and engineers on scope, ambiguity, testing, and deliverable acceptance.
- Create evaluation datasets and track live agent performance across accuracy, quality, escalations, latency, cost, and user satisfaction.
- Drive adoption through enablement, training, communications, champions, and updates to policies and standard operating procedures.
- Meet responsible AI, data handling, privacy, and approval requirements.
- Contribute reusable practices to the AI Centre of Excellence.
- Lead and manage other AI Engagement Specialists.
Requirements
- At least seven years of experience in product management, business or digital transformation, operations strategy, or top-tier consulting.
- A record of delivering change that was implemented and sustained.
- Demonstrated ownership of product specifications or PRDs delivered by engineering teams.
- Strong process redesign skills.
- Expertise in business cases and value modelling, including baselines, unit economics, cost to serve, and payback.
- Data literacy, including experience with BI tools and defining and tracking metrics.
- Practical fluency in AI systems, including retrieval, agents, hallucination and grounding, evaluation, human-in-the-loop processes, and cost.
- Experience managing change and adoption with real end users.
- Ability to influence senior stakeholders without formal authority.
- Excellent written communication skills.
- Deep expertise in the relevant business function.
- Enterprise B2B SaaS experience strongly preferred.
- Knowledge of manufacturing, supply chain, or ERP.
- Experience deploying AI or automation in production.
- Experience working across multiple regions and time zones.
- Experience working with system integrators or external delivery partners.
Benefits
- Programs designed to support a healthy work-life balance.
- Opportunity to join a growing business entering a new phase of expansion and transformation.
- A collaborative culture with supportive colleagues.
- An environment that offers growth and opportunity.
- Ideas are valued regardless of level or hierarchy.
- Compensation packages reflect experience and desired skills.
- A diversity, equity, and inclusion program.
- An equal opportunity workplace.