We are looking for an AI Transformation & Execution Lead to accompany a telecom tower infrastructure company in defining, structuring, and implementing its global AI strategy.
This role requires a hybrid profile: someone who understands business priorities, identifies high-impact AI opportunities, translates operational pain points into practical use cases, and drives execution with technical teams, business units, and leadership. The person will act as a bridge between executive strategy, operational realities, and AI implementation from brainstorming and use case discovery to roadmap definition, solution design, vendor coordination, and deployment follow-up.
This is a hands-on transformation role, not a pure advisory or strategy position. The successful candidate will be expected to actively drive initiatives, coordinate implementation efforts, work closely with operational teams, and help move AI use cases from concept to deployment and adoption.
Roles and Responsibilities
- Support the company in defining its global AI vision and strategic priorities.
- Identify where AI can create measurable impact across Tower Co operations, finance, energy, field maintenance, asset management, customer/operator interfaces, and internal productivity.
- Structure AI initiatives into a clear roadmap: quick wins, medium-term projects, and strategic transformation programs.
- Help leadership prioritize use cases based on business value, feasibility, data availability, and operational readiness.
2. Use Case Discovery & Business Workshops
- Lead workshops with business, technical, finance, operations, and executive teams.
- Translate business pain points into concrete AI use cases.
- Challenge vague AI ideas and turn them into actionable, realistic initiatives.
- Help teams understand what AI can and cannot do, including risks, limitations, and required data foundations.
- Document use cases with clear objectives, expected benefits, required data, stakeholders, and implementation complexity.
3. Solution Design & Execution Support
- Translate selected use cases into functional and technical requirements.
- Work with internal teams, vendors, and technology partners to design AI-powered solutions.
- Support the creation of prototypes, MVPs, pilots, and production deployment plans.
- Ensure AI solutions are aligned with real operational workflows, not just theoretical innovation.
- Follow up on execution, track progress, remove blockers, and ensure delivery remains connected to business objectives.
- Help define safe and responsible AI usage principles.
- Identify risks related to data privacy, hallucinations, automation, decision-making, and operational dependency.
- Support the creation of internal AI governance frameworks.
- Guide teams on human-in-the-loop workflows, validation processes, and progressive automation.
- Drive adoption by making AI understandable and usable for non-technical teams.
5. Cross-Functional Coordination
- Act as the link between executive leadership, business departments, IT, data teams, operations, finance, and external AI providers.
- Ensure all stakeholders are aligned on priorities, scope, expected outcomes, and timelines.
- Prepare executive presentations, strategy notes, workshop materials, implementation documents, and decision-support content.
- Support communication around AI transformation internally and externally.
Required Qualifications
Education
- Bachelor’s degree in Artificial Intelligence, Data Science, Information Technology, Engineering, Business Information Systems, or a related field.
- Master’s degree or relevant AI / Digital Transformation certifications is considered a strong advantage.
Experience
- 5-7+ years of professional experience across AI, technology strategy, digital transformation, product leadership, or telecom/infrastructure consulting.
- Minimum 4-5 years of hands-on experience with AI, data, automation, machine learning, or generative AI initiatives.
- Proven experience leading projects from discovery and business workshops to solution design, MVP/pilot execution, and production deployment follow-up.
- Experience working with C-level leaders and cross-functional teams in complex B2B or infrastructure environments.
- Prior exposure to…
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