Manager, Digital Operations & AI Enablement providing strategic leadership for enterprise platforms at Acosta Group. Overseeing collaboration, communications, and project management across digital systems.
About the role
- Head of AI Transformation at GROWE defining AI strategies and integrating AI solutions across teams. Leading initiatives to foster a strong AI-driven culture and maximizing AI capabilities.
Responsibilities
- Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations;
- Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms;
- Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows;
- Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities;
- Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases;
- Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools;
- Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing;
- Promote and develop a strong AI-driven culture across the organization;
- Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives.
Requirements
- 8+ years of experience in technology companies, preferably in software engineering, platform engineering, or data/AI-related roles;
- Proven experience implementing new technologies and driving technical transformations at an organizational level;
- Hands-on experience working with modern AI technologies and ecosystems, including LLM-based tools and AI-powered workflows;
- Strong understanding of AI solution architecture and integration of AI tools into developer workflows;
- Experience leading process improvements or transformations in engineering teams;
- English - upper-intermediate or higher (able to communicate in technical discussions);
- Experience implementing AI coding assistants or AI tools for developer productivity (will be a plus);
- Experience working with AI agents or agent-based systems (will be a plus);
- Experience building internal developer platforms or engineering productivity tools (will be a plus);
- Experience working with data platforms or ML infrastructure (will be a plus).
Benefits
- Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations;
- Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms;
- Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows;
- Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities;
- Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases;
- Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools;
- Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing;
- Promote and develop a strong AI-driven culture across the organization;
- Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives.
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