VP Product & Strategy
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Job Description
Product-CEO leading EXL’s agentic AI decisioning platform, P&L, and go-to-market growth. Driving enterprise adoption across analytics decisioning use cases.
Responsibilities:
- Evolve the long-term vision for EXLdecision.ai, embedding agentic AI into the core platform to solve critical challenges in analytical decisioning
- Directly manage the product P&L, including revenue growth, contribution margin, and financial health
- Translate company strategy into a multi-year roadmap aligned to ARR expansion and enterprise value
- Use customer signals and performance data to align product investment with ROI
- Own the full go-to-market strategy, including target segments, pricing models, and packaging for the agentic suite
- Identify and prioritize growth across decisioning domains and industry verticals
- Design and scale a product-led growth engine that improves adoption, expansion, and customer lifetime value
- Partner with Marketing and Sales to sharpen positioning and drive acquisition and retention
- Serve as the senior external face of the product, supporting key deals and renewals
- Act as executive sponsor for strategic accounts and ensure value realization
- Present product strategy and growth impact to C-suite and board stakeholders
- Bring enterprise insights back into the product organization to ground decisions in customer needs
Requirements:
- 10+ years of progressive leadership in B2B SaaS, data products, or enterprise software, including a track record of scaling products in growth-stage environments
- Hands-on experience building or shipping products that incorporate LLMs, RAG pipelines, and AI agents, with a demonstrated ability to rethink user experiences around AI capabilities
- Demonstrated success in P&L ownership, pricing strategy, and product-led growth
- Fluency in decision sciences, data analytics, or data modelling — enough to earn the trust of technical builders and enterprise buyers
- Exceptional executive presence, with the ability to influence senior buyers such as Chief Data / Analytics / Risk / Marketing Officers, partners, and technical stakeholders
- Experience taking an AI or data product from 0 to 1 or through a step-change in scale
- Domain exposure in at least one of EXL's core verticals: banking, insurance, healthcare, or retail
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