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AI Product Manager

Job in New York, New York County, New York, 10261, USA
Listing for: TWG Global AI
Full Time position
Listed on 2026-09-17
Job specializations:
  • Business
    AI Business & Operations, Business Analyst, Corporate Strategy, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below

The Organization

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a diverse portfolio—including investments, finance, insurance, and media—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by the central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel transformative projects in marketing, operations, and product development.

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive industry innovation.

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver significant value and impact across our businesses.

The Role

As an AI Product Manager on the AI Solutions Development and Product Team, you’ll sit at the intersection of management consulting and AI, partnering with strategy, operations, and advisory teams to identify high-impact opportunities where AI can accelerate client engagements, sharpen analysis and recommendations, and deliver measurable value — from the engagement team and the client working group to the partner and the practice leadership, and across strategy, operations, transactions and due diligence, and transformation work.

You’ll work across a unique landscape: TWG Global’s own portfolio of businesses serve as both partners and proving grounds for AI innovation, while our solutions extend well beyond our owned portfolio to serve enterprise clients and their advisors. This gives you a rare combination of direct access to complex, high-stakes problem-solving environments and the opportunity to scale what works across a broad set of industries and functions.

Your primary responsibility will be translating the real-world needs of consultants, engagement teams, subject-matter experts, and the functions that support them — including research, knowledge management, and proposal development — into AI-powered products that actually get used. You’ll own the product lifecycle from discovery through delivery, applying a product operating model that prioritizes user adoption, measurable outcomes, and design excellence.

This role goes well beyond roadmap management. You’ll need to understand both the analytical core of the work — structured problem-solving and hypothesis-driven analysis, market and competitive assessment, operating-model and cost diligence, business case and financial modeling, and synthesis into clear recommendations — and the commercial context in which it happens, from proposal and pitch development through engagement delivery and implementation.

You’ll work shoulder-to-shoulder with data scientists and engineers to turn those inputs into scalable, production-grade AI solutions, and drive integration of advanced AI capabilities such as document and knowledge intelligence (NLP over reports, interviews, and data rooms), slide and deliverable automation, time series forecasting, anomaly detection, and generative document generation into our consulting product suite.

You’ll be the connective tissue between our technical teams and our consulting and advisory partners — internal and external — ensuring that what we build is grounded in how these teams actually…

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