Enterprise AI Value Strategist

Ai-first
Spain
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Strategy AI Platforms

Job description

As a senior Enterprise AI Value Strategist, you advise clients on how to create and capture value from AI and data. You define enterprise, industry-specific and function-specific AI and data strategy, develop value cases and roadmaps, shape AI and data operating models and platform strategy, embed Responsible AI, and lead tech-driven transformations. You translate complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes., * Define and structure an organization’s data and AI strategy to build and optimize data assets and AI technologies for growth & competitive advantages.

  • Assess maturity of an organization’s AI and data foundation. Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.
  • Create the business case, investment profile and roadmap to deliver on the strategy.
  • Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
  • Identify people, processes and technologies to develop and operationalize AI solutions.
  • Create strategy for AI-first products and develop commercialization opportunities

Requirements

Bachelor’s degree or equivalent, * Significant AI & Data experience - including solutioning, designing, or delivering AI & Data projects

  • Considerable high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines or relevant industry / functional experience
  • Experience leading senior-level (C-suite) conversations or managing senior-level stakeholders
  • Engineering problem-solver mindset - ability to apply technology creatively to complex business problems
  • Strong program management and verbal and written communication skills
  • Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities
  • Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients

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