Enterprise AI Value Strategist: Data & AI Transformation

Accenture Nordics; København; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

Accenture Nordics seeks an Enterprise AI Value Strategist to advise clients on creating and capturing value from AI and data. You will define enterprise and function-specific AI strategies, develop value cases and roadmaps, shape operating models, and lead tech-driven transformations to deliver measurable business outcomes.

Responsibilities include shaping data and AI strategy, building business cases, and embedding Responsible AI while engaging senior stakeholders and leading large-scale

Qualifications

• Experience delivering AI & data projects across client environments.
• Proven ability to lead workstreams and meet deadlines with minimal oversight.
• Experience managing senior stakeholders and complex programs.

Responsibilities

• Shape vision and create opportunities for data & AI led business reinvention.
• Define and structure data & AI strategy to build assets and technologies for growth.
• Assess AI/data maturity and define building blocks for an AI-first organization.
• Create business cases, investment profiles and roadmaps for strategy delivery.
• Infuse Responsible AI in vision, plan ecosystem partnerships, and operate models for innovation.
• Identify people, processes and technologies to develop and operationalize AI solutions.
• Create strategy for AI-first products and develop commercialization opportunities.

Skills

Solution design

Senior stakeholder mgmt

Program management

Verbal & written comms

Leadership & people

Entrepreneurial GTM

Delivery leadership

Education

Bachelor's degree or equivalent

MBA/Masters

Job description

Accenture Nordics seeks an Enterprise AI Value Strategist to advise clients on creating and capturing value from AI and data. You will define enterprise and function-specific AI strategies, develop value cases and roadmaps, shape operating models, and lead tech-driven transformations to deliver measurable business outcomes.

Responsibilities include shaping data and AI strategy, building business cases, and embedding Responsible AI while engaging senior stakeholders and leading large-scale