Enterprise AI Solution Owner

DataSentics

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profile Job Location:

Prague - Czech Republic

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

We are looking for a senior Enterprise AI Solution Owner to help us build scale and commercialize Enterprise AI Accelerator Products turnkey AI solutions delivered through a subscription-based model.

Instead of focusing on oneoff custom projects this role is about turning real client engagements into productized AI offerings with a reusable accelerator foundation clear business outcomes and longterm subscriptionbased partnerships.

You will own AI solutions endtoend: from business framing and solution architecture through production rollout to ongoing product evolution renewals and expansion. You will operate at the intersection of consulting AI and product management helping DataSentics transition from pure services toward a scalable portfolio of Enterprise AI Accelerator Products.

What youll do

  • Own Enterprise AI Accelerator Products from discovery through clients implementation subscription start maintenance and scale-out
  • Translate business problems into productized AI solutions with clear value KPIs and renewal logic
  • Co-design solution and product architecture with strong focus on reuse and scalability
  • Act as the senior client counterpart managing scope roadmap budget and long-term partnership
  • Lead delivery teams to ensure production-grade deployment and real operational adoption
  • Shape product vision positioning and roadmap deciding what becomes core product vs paid extensions
  • Support go-to-market activities and help grow subscriptions through renewals and expansion

What makes you a great fit

  • 5 years in consulting AI solution delivery product ownership or enterprise analytics leadership
  • Entrepreneurial mindset: you enjoy building new offerings finding productmarket fit and taking ownership beyond delivery
  • Strong experience taking solutions from idea production measurable business impact
  • Product mindset: ability to think beyond one client and design for reuse roadmap and renewal
  • Confidence working with senior business stakeholders and framing AI in terms of value and outcomes
  • Ownership mindset: proactive reliable comfortable making tradeoffs between delivery and product evolution
  • Experience in AI data science or advanced analytics; retail / CPG / ecommerce exposure is a strong advantage

What makes this role different

  • You will build Enterprise AI Accelerator Products not just deliver projects
  • You will own both product evolution and client delivery including renewals and expansion
  • You will work with a subscription-based commercial model combining implementation and subscription
  • You will help incubate AI products through real enterprise engagements
  • You will focus on long-term business impact not short-term PoCs
  • You will directly influence how DataSentics scales AI from services into products

Long-term vision of the role

This role is designed for someone who wants to build and grow Enterprise AI Accelerator Products over the long term not just deliver projects.

For the right person it can evolve into leading a self-sustaining AI product business or portfolio with increasing ownership over product strategy commercial performance renewals and scale.

The ambition is clear: build products that last.

We are looking for a senior Enterprise AI Solution Owner to help us build scale and commercialize Enterprise AI Accelerator Products turnkey AI solutions delivered through a subscription-based model.Instead of focusing on oneoff custom projects this role is about turning real client engagements int...
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Key Skills

  • Sales Experience
  • ADAS
  • Customer Service
  • AI
  • Computer Skills
  • Retail Sales
  • Product Demos
  • Automotive Diagnostics
  • Automotive Repair
  • Business requirements
  • Cash Handling
  • Enterprise Sales

About Company

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We solve business challenges for large organizations by building end-to-end AI solutions, industry-specific accelerators and harnessing the latest technologies, including MLOps and generative AI.

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