Lead AI Engagement Specialist

The Lead AI Engagement Specialist owns a portfolio of AI workflows within one  or more business functions end to end. You will identify where AI genuinely changes how the work is done redesign that work write the PRD drive the build with the architect and engineers land the adoption and then manage the performance of the agents in production as a product you are accountable for.

This is a product and transformation role not a business analysis role. The distinction matters and we mean it: you will own a roadmap write specifications precise enough to build from make scope calls and be measured on realised value rather than on delivered documentation. If a workflow does not clear its quality bar or nobody uses it that is your problem to solve not to report.

Where this role sits

Reports to: Head of the AI Centre of Excellence

Alignment: Dotted line to the leadership of the business function you cover

Works with: AI Engagement specialists Lead AI Architect and Senior AI Engineer daily; external implementation partners; Security GRC Legal and Data teams as required

Owns: The prioritised workflow pipeline PRDs roadmap adoption and live agent performance for one function. Lead & manage other AI Engagement specialists. 

Accountable for: Realised measured business value not deployment count

What you will own

Opportunity identification and prioritisation

• Own the AI workflow pipeline for your function a ranked evidence-based view of where AI creates value refreshed as the business and the technology move.

• Distinguish rigorously between work that AI genuinely changes and work that merely looks automatable in a demo and be willing to argue that a well-sponsored idea is not worth building.

• Prioritise on value feasibility data readiness risk and time to impact in partnership with the architect.

Process discovery and workflow redesign

• Map the current state properly: volumes cycle times cost to serve exception paths decision points systems and data touched and where the work actually breaks grounded in observation and data not in what the process document claims.

• Redesign the work not just the tool. Decide what the agent does what the human does where the handoff sits what the escalation path is and what changes in roles policies SOPs and controls as a consequence.

• Design the human-in-the-loop model with the architect: where review is mandatory where an agent may act autonomously and how a wrong action is caught and reversed.

Business case and value ownership

• Build the business case: baseline metrics benefit hypothesis quantified target build and run cost payback and sensitivity and the honest version of it including the case against building.

• Establish the baseline before launch. A benefit that cannot be measured against a pre-existing baseline will not be believed and should not be.

• Own benefits realisation after go-live report the real number including when it is below target and recommend iterate rebuild or retire accordingly.

Product specification and roadmap

• Write the PRD: problem users scope and non-scope target workflow acceptance criteria quality bar data and system dependencies non-functional expectations risks and success metrics detailed enough that the architect and engineers can design and build from it without a translation layer.

• Own the roadmap for your function: sequencing dependencies release planning and a defensible view of what comes next and why.

• Partner with delivery daily make scope calls resolve ambiguity unblock test and accept. Be available to engineers at the pace they work.

Agent performance management

• Define the quality bar in measurable terms with engineering what a correct output is what an acceptable error rate is and what failure mode is unacceptable at any rate.

• Build and curate the evaluation datasets for your workflows drawing on real cases from your function.

• Review live agent output on an ongoing basis and run the feedback loop back into engineering.

• Monitor production performance accuracy and quality containment or deflection escalation rate latency cost per transaction and user satisfaction and drive the iteration cycle.

• Treat a live agent as a product under active management not a project that was completed.

Adoption and change

• Own adoption as an outcome you are measured on: enablement training communications champions policy and SOP updates and management routines.

• Instrument usage and act on what it shows including the uncomfortable finding that a well-built workflow is being avoided.

• Engage with resistance seriously. Where people are working around the agent understand why before attempting to change the behaviour.

• Work with function leadership on role definition capacity and performance expectations as work is redesigned.

Governance and CoE contribution

• Ensure workflows meet responsible AI data handling privacy and approval requirements working with Security GRC and Legal.

• Feed reusable patterns back into the CoE so that a solved problem in one function does not get re-solved from scratch in another.

Qualifications :

• 7 years in product management business or digital transformation operations strategy or top-tier consulting with a track record of change that shipped and stuck not recommendations that were accepted.

• Demonstrable ownership of product specifications or PRDs that engineering teams built from. We will ask to discuss one in detail.

• Strong process redesign capability. Lean Six Sigma service design or similar training is welcome; evidence of redesigned work in production matters more than certification.

• Business case and value modelling comfort with baselines unit economics cost to serve and payback and the intellectual honesty to model the downside.

• Data literacy: able to interrogate data work with BI tooling and define and track metrics that hold up to scrutiny.

• Working fluency in what current AI systems can and cannot do retrieval agents hallucination and grounding evaluation human-in-the-loop and cost. Enough to scope realistically with engineers and to push back on hype and on pessimism with equal confidence. Coding is not required.

• Change management and adoption experience with real end users including users who did not ask for the change.

• Strong influence at senior levels without formal authority and the standing to tell a function leader that their favourite idea is not the right first build.

• Excellent written communication clear specifications clear reasoning clear status.

• Deep functional expertise in the business function this opening covers the specific requirements are set out under Functional depth below.

Functional depth

This role requires credibility with practitioners and leaders inside the function from the first week. We are looking for someone who understands how the work is genuinely done its operating rhythm its systems its economics and its performance measures well enough to challenge how it is done today rather than to describe it.

Strongly preferred

• Enterprise B2B SaaS experience.

• Manufacturing supply chain or ERP domain knowledge.

• Having deployed AI or automation into production and lived with the results including a deployment that underperformed and what you did about it.

• Experience operating across multiple regions and time zones.

• Experience working alongside system integrators or external delivery partners.

What this role is not

• Not a process documentation role. Mapping is an input; redesigned adopted measured work is the output.

• Not a change communications role. You own the product not the announcement.

• Not a requirements-gathering role. You will not hand a wish list to engineering and wait; you will specify decide and stay accountable through production.

• Not a role that ends at go-live. Managing agent performance afterwards is a permanent part of the job.

What success looks like

First 3 months

• A credible ranked workflow pipeline for your functions grounded in real process data and endorsed by function leadership.

• The first one or two PRDs written and accepted into build by the architect and engineering without a translation gap.

• Baselines established for the metrics your first workflows will move.

First 6 months

• First workflows live in production with adoption instrumented and quality actively monitored.

• A functioning feedback loop between live agent performance and the engineering backlog.

• A 12-month roadmap for your function that leadership has signed up to.

First 12 months

• Measured defensible business value delivered against pre-established baselines reported honestly including where the result fell short.

• Adoption at a level where the redesigned workflow is the normal way the work is done not an optional tool.

• At least one reusable pattern contributed to the CoE and adopted by another function.

• A function that is materially more capable of absorbing the next wave than it was when you joined.

How we assess

• Portfolio conversation a transformation or product initiative you owned end to end including the value actually realised versus the value forecast.

• Written exercise a short PRD or workflow redesign on a realistic problem from your function.

• Working session with the AI CoE on scoping and quality definition for a live QAD workflow.

• Stakeholder interview with leadership from the function you would cover.

Additional Information :

• Your health and well being are important to us at QAD. We provide programs that help you strike a healthy work-life balance.
• Opportunity to join a growing business launching into its next phase of expansion and transformation.
• Collaborative culture of smart and hard-working people who support one another to get the job done.
• An atmosphere of growth and opportunity where idea-sharing is always prioritized over level or hierarchy.
• Compensation packages based on experience and desired skill set

About QAD:

QAD  Redzone is redefining manufacturing and supply chains through its intelligent adaptive platform that connects people processes and data into a single System of Action. With three core pillars Redzone (frontline empowerment) Adaptive Applications (the intelligent backbone) and Champion AI (Agentic AI for manufacturing) QAD Redzone helps manufacturers operate with Champion Pace achieving measurable productivity resilience and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions respects their unique perspectives and provides opportunities for growth regardless of background. QADs DEI program is driving higher levels of diversity equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity status as a veteran and basis of disability or any other federal state or local protected class. 

Remote Work :

Yes

Employment Type :

Full-time