Market Intelligence & AI Strategy: Senior Associate

We are looking for an exceptional researcher, strategist and AI-enabled problem solver to join the Thoughtworks' Market & Client Intelligence team.This team helps Thoughtworks understand what is changing in markets, industries, client priorities and the competitive landscape - and, more importantly, what those changes mean for our business, our clients and our go-to-market strategy.The next evolution of the function is to make this intelligence increasingly AI-enabled, scalable and accessible across the organisation. We are therefore looking for someone who can operate comfortably across two worlds:

Deep research and judgment - understanding markets, clients, competitors and technology; identifying patterns; developing sharp insights; and translating intelligence into meaningful business implications.

AI-enabled problem solving - understanding how AI can change the way intelligence is created and consumed; translating business problems into AI-enabled solutions; designing AI workflows and agents; and taking ideas from concept through to working solutions.

This is not a conventional research role with some AI exposure, nor an AI engineering role with some research responsibilities.

We are looking for someone who understands the intelligence problem deeply enough to identify where AI can genuinely make it better.

Job responsibilities

Help shape the future of AI-enabled intelligence:

Work closely with the Head of Market & Client Intelligence to explore and develop how AI can transform the way Thoughtworks creates, curates, distributes and uses intelligence

You will help translate these ideas into practical initiatives and work with the Head of MCI to move them from concept to execution

Build AI-enabled intelligence solutions:

Take ownership of designing and developing AI-enabled solutions, workflows and prototypes within Market & Client Intelligence

You will work independently on the majority of the journey, while bringing in specialist engineering or technology support where appropriate

Translate business problems into AI-enabled solutions:

Work with stakeholders across Marketing, Sales, Strategy, Industry, Technology and other functions to understand their information and decision-making needs.

Identify where intelligence can create differentiated value

Translate stakeholder needs into AI-enabled solutions

Determine where human judgment should remain in the loop

Design appropriate AI workflows, agents and skills

Write clear AI/product engineering briefs that can be understood and executed by technical teams

Prototype and iterate rapidly with users

Bring strong research and intelligence judgment and own projects end-to-end

Alongside the technology work, you will remain a highly skilled market intelligence professional:

You will independently conduct and lead research across a diverse range of topics and stakeholders, synthesize information from multiple sources and turn it into sharp, differentiated and decision-useful insight.

Independently lead intelligence and AI-enabled initiatives from inception to delivery.

Job qualifications

Research & strategic intelligence

8–11 years of experience in market intelligence, competitive intelligence, strategic research, technology research, or a closely related field

Demonstrated ability to conduct sophisticated research independently across multiple information sources

Strong understanding of how businesses, markets, industries and competitors operate

Ability to connect disparate pieces of information and identify patterns that are not immediately obvious

Excellent analytical and synthesis skills

Strong commercial orientation and ability to connect research to business priorities

Ability to turn complex information into clear, concise and compelling insights

AI & technology

This is an important part of the role.

We are looking for someone who has hands-on experience using AI to build useful solutions, products, workflows or systems, ideally in a research, intelligence, knowledge, decision-support or business context.

You should have experience with several of the following: Generative AI and LLM applications, AI agents and agentic workflows, Retrieval-augmented generation (RAG), Prompt and context engineering, Structured outputs and evaluation, AI-powered research and synthesis, API-based AI applications etc.

Technical ecosystem: Hands-on familiarity with AI development and prototyping environments is strongly preferred, including tools such as: Google Cloud / BigQuery, Vertex AI, Claude / Anthropic ecosystem, Claude Code, Replit, Claude Design, Gemini and/or other leading foundation models, APIs, JSON and basic application architecture etc.

You do not need to be a specialist software engineer. However, you should be technically comfortable enough to: Understand how an AI solution should be structured; Break a business problem into technical components.; Understand data flows, retrieval, context and orchestration; Design AI-enabled workflows and agentic solutions; Write a good AI engineering/product brief; Prototype solutions yourself; Read and work with code where necessary; Work effectively with engineers and technical teams. We are particularly interested in candidates who have moved beyond casual experimentation with AI and have actually built useful solutions that people use.

Candidates should ideally be able to demonstrate at least one substantial AI-enabled product, system or workflow that they personally helped design and build, rather than simply having used AI tools in their day-to-day work.

Exceptional written and verbal communication skills

Ability to communicate complex ideas simply and compellingly

Comfortable interacting with senior stakeholders

Ability to tell a clear story from complex research

Strong presentation and storytelling skills

Project & stakeholder leadership

Demonstrated ability to independently manage complex projects end-to-end

Able to manage multiple priorities without losing sight of outcomes

Comfortable working with ambiguity and working in a fast-changing environment where priorities evolve quickly

*For candidates with less than two years of experience, please visit the Grads and career changers page on our careers site.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment .

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technol