Embedded AI Transformation Senior Manager

Purpose The Embedded AI Transformation Senior Manager is responsible for leading and orchestrating Embedded AI transformation programs across the enterprise, ensuring successful delivery, adoption and scaling of AI‑enabled solutions that generate measurable business value.
Key Responsibilities
Lead end‑to‑end AI transformation programs from planning and governance through deployment, adoption and value realization.
Manage portfolios of AI initiatives across multiple business domains, regions and enterprise platforms.
Coordinate cross‑functional teams including AI Architects, Data Scientists, Product Managers, Application Teams, System Integrators and Business Stakeholders.
Ensure alignment between AI roadmaps, business priorities and enterprise transformation objectives.
Govern program scope, budget, timelines, risks, dependencies and executive reporting.
Drive AI enablement across enterprise platforms and digital ecosystems, including ERP, CRM, Supply Chain, Manufacturing, Analytics and other critical applications.
Support implementation of AI solutions in manufacturing, supply chain, procurement, logistics, commercial, customer service, engineering and finance processes.
Establish and monitor KPIs, business outcomes and value‑realization metrics.
Lead adoption and change‑management activities to maximise user engagement and sustainable impact.
Identify opportunities to scale successful AI solutions across functions, plants, business units and geographies.
Facilitate executive decision‑making through clear communication of program progress, risks, achievements and expected benefits.
Promote delivery excellence, governance discipline and continuous improvement across the AI transformation portfolio.
Qualifications
Bachelor’s degree in Engineering, Computer Science, Information Technology, Business Administration, Supply Chain, Manufacturing Engineering or related disciplines (MBA or Master’s a plus).
At least 10 years of experience in program management, digital transformation, enterprise application delivery or large‑scale business transformation initiatives.
Proven track record leading complex cross‑functional programs within global organisations.
Experience managing initiatives involving multiple business stakeholders, technology teams and external partners.
Exposure to AI, Advanced Analytics, Intelligent Automation or enterprise innovation programmes.
Strong understanding of end‑to‑end business processes within manufacturing and industrial environments; knowledge of cable manufacturing operations is highly desirable.
Familiarity with domains such as Manufacturing, Supply Chain, Procurement, Logistics, Commercial, Customer Service, Finance and Engineering.
Good understanding of enterprise application landscapes, including SAP, Salesforce, Oracle, Kinaxis, Qlik, MES and related technologies.
Solid understanding of Artificial Intelligence, Generative AI, Intelligent Automation and Data Analytics concepts.
Ability to connect business objectives, technology capabilities and measurable business outcomes.
We are an Equal Opportunity Employer committed to diversity, equity and inclusion.