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Principal Engagement Lead (Technology Advisory)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Engagement Lead (Technology Advisory) (AI): Leading AI-native advisory engagements by translating client strategy into workstreams, delivery plans, and measurable technology outcomes with an accent on systems thinking, AI workflow design, and executive stakeholder alignment. Focus on orchestrating AI-assisted analysis and delivery, managing technical and commercial risks, and converting advisory recommendations into practical implementation paths.
Location: London, United Kingdom
Company
is a technology consultancy helping clients solve complex business problems through technology, innovation, and continuous learning.
What you will do
- Own delivery outcomes by translating client goals into workstreams, milestones, and implementation outputs.
- Structure and lead AI-native advisory engagements, breaking ambiguous problems into actionable components for teams, AI agents, and client stakeholders.
- Design AI-enabled workflows for analysis, scenario modeling, workflow generation, and documentation while managing output quality.
- Review engagement outputs for logical consistency, business relevance, and technical feasibility.
- Work directly with CTOs, CIOs, and program leads to turn advisory recommendations into practical execution paths.
- Identify delivery risks and create reusable workflows, engagement models, and decision frameworks.
Requirements
- 8–15 years of experience in consulting and strategy, with a strong technology background and experience transitioning into advisory and strategy.
- Extensive pre-sales experience, including pricing engagements and preparing proposals, pitch decks, RFIs, and RFQs.
- Ability to design workflows around AI tooling, evaluate AI output confidence, and continuously develop technical skills.
- Expertise in systems thinking across business processes, technology, data flows, and end-to-end dependencies.
- Strong stakeholder management and communication skills with senior business and technology leaders.
- Structured problem-solving skills and the ability to balance AI capabilities with human judgment and oversight.
Culture & Benefits
- Collaborative, non-hierarchical environment focused on transparency, openness, feedback, and continuous change.
- Career development supported through interactive tools, development programs, and peer support.
- Autonomy to shape an individual career path within a cultivation-focused culture.
- Responsible use of AI in recruitment, with human interviewers and hiring managers making selection decisions.
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