Lead Technology Advisory Analyst

thoughtworksreferral; United States; Remote; USD 85,000 - 125,000; Full time

Benefits offered by this job

Learning and development programs

Mentoring culture

Onsite work arrangement

Job summary

ThoughtWorks is seeking an Analyst to join its AI-native advisory practice. The role partners with senior advisors to frame challenges, validate hypotheses, and quantify trade-offs for decision-ready deliverables for executives.

You will blend consulting rigor with AI-enabled workflows to translate strategy into measurable business outcomes. You will drive research across industries, synthesize data into evidence-based recommendations, and support client engagements with executive-ready

Qualifications

• 2-6 years of experience in management or technology consulting, business analysis, technology strategy, product or digital transformation, or data and analytics.
• Strong analytical and structured problem-solving skills, with comfort working through ambiguity and complex challenges.
• Excellent written and verbal communication, including the ability to produce executive-ready presentations and explain technical concepts to business stakeholders.

Responsibilities

• Drive research and analysis across industries, technology landscapes, business processes, and competitive benchmarks, leveraging AI tools where appropriate.
• Translate ambiguous business problems into structured workstreams and synthesize qualitative and quantitative information into evidence-based recommendations.
• Support client engagements by preparing executive-ready presentations, facilitating workshops and discovery sessions, and documenting business and technology requirements.
• Apply AI responsibly to accelerate research, content development, and synthesis, including prompt design and validation of model outputs.
• Review deliverables for accuracy, structural quality, and client readiness, flagging gaps, inconsistencies, and risks before release.
• Contribute reusable frameworks, templates, and lessons learned to strengthen the advisory practice.

Skills

Analytical thinking

Problem-solving

Communication

AI tools familiarity

Presentation skills

Tools

AI tools

Job description

Role overview

This position sits within an AI-native advisory practice that helps clients bridge strategy and technical execution. Working alongside senior advisors and specialists, the analyst frames challenges, validates hypotheses, and quantifies trade-offs to produce decision-ready deliverables for executive audiences. The role blends consulting rigor with AI-enabled workflows to translate strategic intent into measurable business outcomes.

Responsibilities

• Drive research and analysis across industries, technology landscapes, business processes, and competitive benchmarks, leveraging AI tools where appropriate.
• Translate ambiguous business problems into structured workstreams and synthesize qualitative and quantitative information into evidence-based recommendations.
• Support client engagements by preparing executive-ready presentations, facilitating workshops and discovery sessions, and documenting business and technology requirements.
• Apply AI responsibly to accelerate research, content development, and synthesis, including prompt design and validation of model outputs.
• Review deliverables for accuracy, structural quality, and client readiness, flagging gaps, inconsistencies, and risks before release.
• Contribute reusable frameworks, templates, and lessons learned to strengthen the advisory practice.

Requirements

• Typically 2-6 years of experience in management or technology consulting, business analysis, technology strategy, product or digital transformation, or data and analytics.
• Strong analytical and structured problem-solving skills, with comfort working through ambiguity and complex challenges.
• Excellent written and verbal communication, including the ability to produce executive-ready presentations and explain technical concepts to business stakeholders.
• Comfort using AI tools to enhance research, analysis, and content creation, with discipline to validate generated outputs.

Nice to have

• Experience on technology-enabled business initiatives spanning product, digital transformation, or platform strategy.

Benefits and work setup

• Learning and development programs support self-directed career growth, complemented by interactive tooling and a collaborative mentoring culture.
• AI is used to support recruitment administration but never to screen or rank candidates; selection is handled by interviewers and hiring managers.
• Onsite working arrangement indicated by the posting.