Enterprise Applications & AI Innovation Manager

About the role

PhoenixBev is looking for a hands-on, innovation-driven Enterprise Applications & AI Innovation Manager to turn artificial intelligence and emerging technology into measurable results. This is a delivery role covering the full AI and innovation agenda: identifying opportunities, building and deploying AI solutions and automations, and scaling them into everyday operations. It also runs the Low Code / No Code platform and citizen development programme, and works closely with the ERP and enterprise applications team.

Key responsibilities

• Identify, assess and prioritise AI use cases with business teams, linking each to a measurable outcome, and design, build and deploy AI solutions from proof of concept to production.
• Deliver intelligent automation combining AI, workflow and automation tools, and apply a "fix the process first, then automate" approach.
• Scout emerging technologies through low-cost proofs of concept and track the value delivered by each initiative.
• Build a culture of experimentation through innovation challenges, hackathons and an AI champions network.
• Run the low-code / no-code platform (e.g. Microsoft Power Platform), set up a Centre of Excellence, train citizen developers and manage the lifecycle of citizen-developed apps.
• Apply the Technology & AI Governance Framework, implement an AI Acceptable-Use Policy and ensure AI solutions are secure-by-design and ethical.
• Integrate AI and automation solutions with ERP and other core systems, contribute to the application roadmap and manage vendor relationships.
• Support adoption with early training and communication, and help build AI literacy across the business.

Required profile

• Degree in Computer Science, Information Systems, Engineering, Data Science or a related field; a master's degree is a plus.
• 7+ years in enterprise applications, digital or data, including leading projects and small teams.
• Proven track record of delivering AI, automation or data-driven solutions into production.
• Experience setting up or scaling low-code / no-code platforms and citizen development programmes.
• Good working knowledge of ERP/CRM, SaaS, cloud and integration (APIs); vendor management and FMCG or manufacturing experience are a plus.

Required skills

• Certifications in AI/ML, cloud, low-code platforms or automation are an advantage.
• Practical experience with generative AI tools such as Microsoft Copilot, Azure OpenAI or similar is highly desirable.
• Innovative, pragmatic and hands-on, able to explain technology in plain language and balance speed of innovation with governance and risk.