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The Team

The Market Insights & Activation (MI&A) team sits within Deloitte's Growth Office within Consulting Services organization-the function responsible for shaping how the firm grows, competes, and wins in market. Our mission is to proactively capture real-time market shifts, shape firm go-to-market strategy, and fuel Deloitte's growth ambition. We are laser-focused on helping Deloitte grow faster than the market and "Win the New"-partnering with the business to deliver coordinated, results-oriented, and insights-informed growth strategies that reach the firm's most senior leaders.

Recruiting for this role ends on 08/14/2026.

Position Summary

The Market Insights Intelligence Lead sits at the center of a small, fast-moving team inside Deloitte. This team experiments, ships, learns, and moves again - building intelligence tools and products that feed the firm's most senior growth leaders with real-time market signals. If that sounds more like a startup than a Big Four consulting firm, that's because this corner of it is.

What we're looking for is someone who, when handed a hypothesis or a half-formed "what if," gets visibly excited - chews on it, pulls the thread, and comes back with something that makes the room lean forward. The profile is genuinely plural: part data scientist, part technologist, part analyst, part strategist, part creative. You've probably been told before that you're hard to categorize. We'd consider that a strong signal. An engineering background is an asset - less for the syntax and more for the mental model it builds. Vibe coding is a must.

Work You'll Do

• Join a team that conducts deep-dive research and insight development for high-stakes, senior executives at the firm
• Use vibe coding, AI-assisted development, and rapid prototyping to build lightweight tools that automate, accelerate, or entirely replace manual research workflows
• Design and run structured experiments to test market hypotheses: frame the question, build the minimal test, assess the evidence, form a view, and execute
• Develop and maintain the team's data infrastructure: sourcing, structuring, and connecting market intelligence from licensed providers and open sources into usable, repeatable pipelines
• Serve as the translation layer between business problems and technical systems - helping non-technical leaders understand what's possible and helping engineers understand what actually matters
• Drive creative exploration on the team - bring a fresh eye to how we approach problems, what tools and methods we haven't tried yet, and where the most interesting whitespace is
• Proactively identify where you can add value and step in - this role has a defined scope and an expectation that you'll regularly exceed it

The Successful Candidate Will Possess

• An experimentalist and builder's mindset: leads with curiosity, moves fast, tests hypotheses, and iterates without waiting for permission
• Vibe coding proficiency: ability to rapidly prototype tools, automate workflows, and build lightweight data products using AI-assisted coding techniques
• Engineering or technical background (preferred, not required to code in production): fluency with technical systems, data pipelines, APIs, and platform architecture at the conceptual level
• Analytical depth: ability to go deep on a research question, pressure-test assumptions, and produce a well-reasoned, independently defensible point of view
• High fluency with AI tools-used as genuine accelerators, not crutches; knows when to use them and when the answer requires human judgment
• Comfort with ambiguity and undefined scope: strong instinct for where to add value; proactively steps into work, even outside formally assigned responsibilities
• Intellectual rigor and commitment to credibility: cares deeply about truthfulness, sourcing, and the difference between a justified conclusion and an interesting conjecture
• Broad technical fluency across data tooling (e.g., Python, SQL, or equivalent), visualization platforms, and research technology
• Genuine creative eye: brings an original perspective to how insights are designed, surfaced, and experienced-whether through data visualization, product design, or editorial format
• Willingness to get hands-on regardless of title-executes at all levels of the stack without hesitation

Qualifications

Required

• Bachelor's or Master's degree in Engineering, Computer Science, Economics, Finance, Applied Mathematics, Data Science, or a related quantitative discipline
• 4-6 years of experience in a technically rigorous analytical role-e.g., private equity research, technology strategy, competitive intelligence, data science, or quantitative consulting
• Demonstrated vibe coding or lightweight prototyping skills: ability to build working tools or automate workflows using AI-assisted techniques
• Ability to travel up to 5-10%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future

Preferred

• Engineering or software development background: prior experience building or contributing to data pipelines, APIs, or analytical platforms
• Experience in or deep familiarity with private equity research, Gartner/Forrester analyst work, or other hypothesis-driven, structured research environments
• Working knowledge of Python, SQL, or equivalent data tools for analysis, automation, or prototyping
• Familiarity with the enterprise technology landscape, AI tooling, or SaaS market dynamics
• Prior experience designing and running structured market experiments or rapid insight prototypes
• Graphic design sensibility or experience with data visualization tools (e.g., Tableau, Power BI, or custom-built dashboards)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-$207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The Team

The Market Insights & Activation (MI&A) team sits within Deloitte's Growth Office within Consulting Services organization-the function responsible for shaping how the firm grows, competes, and wins in market. Our mission is to proactively capture real-time market shifts, shape firm go-to-market strategy, and fuel Deloitte's growth ambition. We are laser-focused on helping Deloitte grow faster than the market and "Win the New"-partnering with the business to deliver coordinated, results-oriented, and insights-informed growth strategies that reach the firm's most senior leaders.

Recruiting for this role ends on 08/14/2026.

Position Summary

The Market Insights Intelligence Lead sits at the center of a small, fast-moving team inside Deloitte. This team experiments, ships, learns, and moves again - building intelligence tools and products that feed the firm's most senior growth leaders with real-time market signals. If that sounds more like a startup than a Big Four consulting firm, that's because this corner of it is.

What we're looking for is someone who, when handed a hypothesis or a half-formed "what if," gets visibly excited - chews on it, pulls the thread, and comes back with something that makes the room lean forward. The profile is genuinely plural: part data scientist, part technologist, part analyst, part strategist, part creative. You've probably been told before that you're hard to categorize. We'd consider that a strong signal. An engineering background is an asset - less for the syntax and more for the mental model it builds. Vibe coding is a must.

Work You'll Do

• Join a team that conducts deep-dive research and insight development for high-stakes, senior executives at the firm
• Use vibe coding, AI-assisted development, and rapid prototyping to build lightweight tools that automate, accelerate, or entirely replace manual research workflows
• Design and run structured experiments to test market hypotheses: frame the question, build the minimal test, assess the evidence, form a view, and execute
• Develop and maintain the team's data infrastructure: sourcing, structuring, and connecting market intelligence from licensed providers and open sources into usable, repeatable pipelines
• Serve as the translation layer between business problems and technical systems - helping non-technical leaders understand what's possible and helping engineers understand what actually matters
• Drive creative exploration on the team - bring a fresh eye to how we approach problems, what tools and methods we haven't tried yet, and where the most interesting whitespace is
• Proactively identify where you can add value and step in - this role has a defined scope and an expectation that you'll regularly exceed it

The Successful Candidate Will Possess

• An experimentalist and builder's mindset: leads with curiosity, moves fast, tests hypotheses, and iterates without waiting for permission
• Vibe coding proficiency: ability to rapidly prototype tools, automate workflows, and build lightweight data products using AI-assisted coding techniques
• Engineering or technical background (preferred, not required to code in production): fluency with technical systems, data pipelines, APIs, and platform architecture at the conceptual level
• Analytical depth: ability to go deep on a research question, pressure-test assumptions, and produce a well-reasoned, independently defensible point of view
• High fluency with AI tools-used as genuine accelerators, not crutches; knows when to use them and when the answer requires human judgment
• Comfort with ambiguity and undefined scope: strong instinct for where to add value; proactively steps into work, even outside formally assigned responsibilities
• Intellectual rigor and commitment to credibility: cares deeply about truthfulness, sourcing, and the difference between a justified conclusion and an interesting conjecture
• Broad technical fluency across data tooling (e.g., Python, SQL, or equivalent), visualization platforms, and research technology
• Genuine creative eye: brings an original perspective to how insights are designed, surfaced, and experienced-whether through data visualization, product design, or editorial format
• Willingness to get hands-on regardless of title-executes at all levels of the stack without hesitation

Qualifications

Required

• Bachelor's or Master's degree in Engineering, Computer Science, Economics, Finance, Applied Mathematics, Data Science, or a related quantitative discipline
• 4-6 years of experience in a technically rigorous analytical role-e.g., private equity research, technology strategy, competitive intelligence, data science, or quantitative consulting
• Demonstrated vibe coding or lightweight prototyping skills: ability to build working tools or automate workflows using AI-assisted techniques
• Ability to travel up to 5-10%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future

Preferred

• Engineering or software development background: prior experience building or contributing to data pipelines, APIs, or analytical platforms
• Experience in or deep familiarity with private equity research, Gartner/Forrester analyst work, or other hypothesis-driven, structured research environments
• Working knowledge of Python, SQL, or equivalent data tools for analysis, automation, or prototyping
• Familiarity with the enterprise technology landscape, AI tooling, or SaaS market dynamics
• Prior experience designing and running structured market experiments or rapid insight prototypes
• Graphic design sensibility or experience with data visualization tools (e.g., Tableau, Power BI, or custom-built dashboards)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-$207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.