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AI Enablement & Implementation Manager Jobs (Hybrid work)

177 Job Offers

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Technical Lead
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United Kingdom , London
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AKQA
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Full Stack Developer
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United Kingdom , Marlow
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SRG
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Technical Lead (AI & MACH)
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United Kingdom , London
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AKQA
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Senior Manager Engineering Projects
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United States , Thousand Oaks
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150669.00 - 185744.00 USD / Year
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Amgen
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Technical Lead
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United Kingdom , London
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AKQA
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Technical Lead (AI & MACH)
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United Kingdom , London
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AKQA
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Technical Lead
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United Kingdom , London
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Business Analyst
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United Kingdom , Belfast
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Citi
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Program Manager, Connected Aircraft Strategy
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Canada , Dorval
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Bombardier
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IT Systems Architect Principal
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Hungary , Budapest
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Plusnet
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Technical Lead
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United Kingdom , London
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AKQA
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Technical Lead (AI & MACH)
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United Kingdom , London
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AKQA
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Data Architect
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India , Gurgaon
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Rackspace
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Technical Lead (AI & MACH)
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United Kingdom , London
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Program Manager, Connected Aircraft Strategy
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Canada , Dorval
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Bombardier
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Senior Software Engineer, Prenatal
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United States , Menlo Park
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190081.00 - 211201.00 USD / Year
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BillionToOne
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Head of Risk QA Software Architecture
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Czechia , Prague
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Barclays
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Senior Test Engineer
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Switzerland , Zurich
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Avaloq
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Data Intelligence Data Architect
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Serbia , Belgrade
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Everseen
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Senior Systems Programmer
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Singapore , Singapore
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Discover and apply for AI Enablement & Implementation Manager jobs, a pivotal role at the forefront of organizational transformation. This profession acts as the crucial bridge between the potential of artificial intelligence and tangible business value, ensuring companies adopt AI practically, responsibly, and at scale. Professionals in this field are hybrid leaders, combining strategic vision with hands-on execution to embed AI into the fabric of daily operations. Typically, an AI Enablement & Implementation Manager is responsible for the end-to-end journey of AI integration within a business. Their core mission is to identify high-impact opportunities where AI can streamline processes, enhance quality, and reduce manual effort. They lead the design and rollout of practical AI solutions, working closely with cross-functional teams including IT, data science, security, and business unit leaders. A significant part of the role involves change management: training and coaching employees to use AI tools confidently and ethically, developing guidelines and frameworks for responsible use, and fostering a culture of informed experimentation. They translate complex technical capabilities into simple, actionable business insights for stakeholders at all levels. Common responsibilities for these jobs include conducting needs assessments, developing internal AI governance and literacy programs, managing pilot projects, and overseeing the implementation of selected AI tools or workflows. They are also tasked with measuring success, establishing KPIs to track efficiency gains, quality improvements, and ROI, and communicating these outcomes to leadership to secure ongoing buy-in. Their work ensures AI adoption is sustainable, secure, and aligned with broader business objectives. The typical skill set for AI Enablement & Implementation Manager jobs is diverse. It requires a strong foundation in business process optimization and digital transformation, coupled with a solid, practical understanding of AI concepts, trends, and tools (though not necessarily deep technical coding skills). Excellent communication, facilitation, and stakeholder management skills are non-negotiable, as is experience in change management and adult learning principles. A pragmatic, problem-solving mindset is essential, along with a keen awareness of data privacy, security, and ethical governance frameworks. Successful candidates often have backgrounds in consulting, operational excellence, learning & development, or technology project management. For strategic thinkers passionate about empowering people with technology, AI Enablement & Implementation Manager jobs offer a unique opportunity to shape the future of work. This career path is ideal for those who excel at connecting strategy with execution, driving adoption, and delivering measurable business impact through the thoughtful application of artificial intelligence. Explore these roles to lead meaningful change in the evolving digital landscape.

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