Enterprise AI Value Architect

Accenture; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture is seeking an Enterprise AI Value Strategist to advise clients on capturing value from AI and data. You will shape AI and data strategy, develop value cases and roadmaps, embed Responsible AI, and lead large-scale transformations with senior stakeholders to achieve measurable business outcomes.

You will define data and AI operating models, create technology blueprints, and craft commercialization opportunities for AI-first products across industries, driving growth and competitive

Qualifications

• Bachelor’s degree or equivalent required.
• Experience delivering AI and data projects at scale.
• Proven ability to lead senior stakeholders and cross-functional teams.
• Strong problem-solving with technology to solve business problems.
• Excellent program management and communication skills.
• Entrepreneurial drive to originate deals and drive GTM.
• Ability to build and lead high-performing teams.

Responsibilities

• Shape vision for data & AI-led business reinvention.
• Define data/AI strategy to build data assets and AI tech for growth.
• Assess maturity and define building blocks for AI-first organization.
• Create business case, investment profile and roadmap.
• Infuse Responsible AI and plan ecosystem partnerships.
• Identify people, processes and technologies to deploy AI solutions.
• Develop strategy for AI-first products and commercialization.

Skills

AI/Data experience

Consulting experience

Stakeholder management

Engineering mindset

Program management

Entrepreneurial drive

Leadership & teamwork

Education

Bachelor's degree or equivalent

MBA/Masters

Job description

Accenture is seeking an Enterprise AI Value Strategist to advise clients on capturing value from AI and data. You will shape AI and data strategy, develop value cases and roadmaps, embed Responsible AI, and lead large-scale transformations with senior stakeholders to achieve measurable business outcomes.

You will define data and AI operating models, create technology blueprints, and craft commercialization opportunities for AI-first products across industries, driving growth and competitive