AI Transformation & Execution Lead

Job Purpose

1. AI Strategy & Roadmap

• Support the company in defining its global AI vision and strategic priorities.
• Identify where AI can create measurable impact across TowerCo 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.

4. AI Governance, Risk & Adoption

• 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.

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 telecom infrastructure, TowerCo, industrial operations, ERP/OSS environments, or field operations is considered a plus, but is not mandatory.
• Experience evaluating and coordinating AI vendors, platforms, system integrators, or technology partners is highly valuable.

Key Skills

• AI strategy
• Generative AI and LLMs
• Business use case discovery
• AI product design
• Workshop facilitation
• Operational transformation and AI adoption
• Data and system integration awareness
• Executive communication
• Roadmap planning
• AI governance
• Change management
• Project execution follow-up

Technical

• Strong understanding of AI, generative AI, machine learning, automation, and data-driven decision-making.
• Ability to translate complex AI concepts into simple, business-friendly language.
• Ability to quickly understand operational environments and translate business problems into practical AI solutions.
• Strong business sense and ability to identify where AI can generate real ROI.
• Experience leading workshops, stakeholder interviews, and executive-level discussions.
• Hands-on and execution-oriented mindset with the ability to independently drive initiatives from idea to deployment.
• Ability to move from strategy to execution, not only provide high-level recommendations.
• Strong understanding of operational workflows, data requirements, system integration, and implementation constraints.
• Comfortable working with both technical teams and non-technical business leaders.
• Excellent communication, documentation, and presentation skills.

Ideal Background

• Tech Founder, CTO, AI Engineer, AI product management, or digital transformation or applied AI implementation roles in B2B environments.
• Experience building and deploying AI products in B2B environments.
• Exposure to infrastructure, telecom, industrial, logistics, field operations, ERP/OSS systems, or other operationally intensive environments is beneficial.
• Experience with AI assistants, predictive models, optimization systems, agentic AI, LLMs, and automation platforms.
• Previous experience accompanying companies from ideation to pilot and production deployment.

Expected Outcomes

• Build a clear and realistic AI transformation roadmap.
• Identify high-value AI use cases across departments.
• Launch practical pilots and MVPs.
• Move from isolated AI experiments to structured AI adoption.
• Improve operational efficiency, energy optimization, field productivity, finance automation, and decision-making.
• Establish safe, scalable, and business-aligned AI practices across the organization.