AI Consulting Lead (Manager/ Senior Consultant) - AI-led Transformation & Operating Model Design

Job Description: Product Manager / Program Manager / Business Analyst (AI‑First Product & Advisory)

About the Role

We are strengthening and modernizing our product capabilities within a rapidly scaling technology consulting practice. While the organization has built products before, we are now elevating how products are conceived, engineered, and delivered — with a sharper focus on AI‑first principles, repeatable processes, and long-term scalability. You will play a key role in shaping this next generation of product-building within a Big 4 environment, while also advising clients on product strategy, AI adoption, and future-forward solutions.

We are looking for an AI‑native, highly adaptable product thinker who moves seamlessly between product vision, customer discovery, program structuring, and hands-on execution. You should be comfortable with ambiguity, energized by dynamic priorities, and excited to work in environments where both the customer problem and the product direction evolve rapidly.

This role spans:

• Internal product incubation


• Client-facing product & AI advisory


• Hands-on experimentation with GenAI

If you thrive in high-velocity environments, enjoy vibing with code, and love shaping 0→1 products, this role is for you.

Key Responsibilities

Product Vision & Strategy

• Define the vision, direction, and success metrics for AI-led internal products and solutions.


• Set clear product goals around reliability, resilience, and future-proofing, especially for GenAI-based applications.


• Conduct competitive and market research—academic, commercial, and emerging tech—to inform product strategy.

0→1 Product Incubation

• Drive incubation of new features and products by partnering with customers, engineering, and domain teams.


• Create repeatable and scalable processes to take concepts from exploration → prototyping → readiness.


• Validate product hypotheses through rapid experimentation and user feedback loops.

Customer Discovery & Problem Framing

• Identify user problems, customer needs, and white‑space opportunities across industries.


• Facilitate workshops and discovery sessions to understand pain points, workflows, and desired outcomes.


• Help prioritize a balanced portfolio of near-term customer asks and long-term capability bets.

Execution & Cross-functional Leadership

• Build strong feedback loops between customer-facing teams and engineering.


• Prioritize requirements, create release scopes, and ensure smooth, predictable launch cycles.


• Communicate product direction and trade-offs clearly with leadership, stakeholders, and delivery teams.

Metrics & Outcomes

• Define what “good” looks like—KPIs, usage metrics, performance benchmarks, and qualitative signals.


• Track and analyze leading indicators to ensure goals are met and value is delivered consistently.

AI Advisory & Client Engagement

• Support AI advisory engagements with clients—help them conceptualize, prioritize, and design AI-first solutions.


• Translate business problems into AI-powered product opportunities.


• Advocate AI‑native ways of working, including prompting, evaluation, applied AI artifacts, and prototyping.

Must-Have Qualifications

• Bachelor’s degree in Engineering + 3 to 8 years of experience in product, project, program management, software development, or equivalent.


• Strong communication skills with the ability to navigate diverse stakeholder groups.


• Demonstrated experience in ambiguous or dynamic environments where priorities shift rapidly.


• Comfort working in consultative settings—problem-first, not solution-first.

Preferred Qualifications

• Experience in startup-like or 0→1 product environments; thrives amid ambiguity and rapid iteration.


• Deep curiosity for AI, GenAI, and emerging tech with a strong experimental mindset.


• Familiarity with AI model development, ML algorithms, and cloud technologies.


• Ability to "vibe with code"—not necessarily writing production-level software but comfortable:




• reading code


• experimenting with APIs


• playing with AI models


• understanding architectural constraints




• Strong user-centric mindset with a keen sense for great user experiences.

What Will Make You Successful Here

• You think "AI-first": applying models, automation, and intelligent workflows by default.


• You can operate in both product mode and consulting mode.


• You learn fast and are excited by technologies that are still evolving.


• You enjoy shaping the foundation of a product capability in a newly forming ecosystem.


• You can zoom out (vision) and zoom in (detailed execution) with equal ease.