Chief Transformation and AI Officer

Role overview

This is a senior leadership opportunity based in Germany for an executive who can steer AI, intelligence, and transformation across a platform, product portfolio, and advisory offering. The position focuses on defining how data, analytics, and AI are built into customer solutions and internal workflows, with a strong emphasis on commercial impact, innovation, and enterprise change. The role is on behalf of a partner company, which will handle all applications and subsequent steps.

You will work closely with top executives to turn complex market and stakeholder signals into practical recommendations that improve client strategy and business outcomes. A major part of the remit is to design scalable intelligence products and AI-enabled capabilities that create clear differentiation in the market. This is a highly visible position that requires both strategic direction and the ability to execute in a fast-paced, globally oriented environment.

Key accountabilities

• Set the overall vision, strategy, and operating model for AI, intelligence, product, and platform capabilities.
• Lead enterprise-wide AI transformation efforts that improve client delivery, efficiency, and new product development.
• Develop, grow, and commercialize intelligence platforms, products, and methods that convert stakeholder and market data into useful insights.
• Integrate data-led intelligence into advisory services to strengthen decision-making and client results.
• Assess new technologies, AI solutions, and data sources to uncover innovation opportunities and competitive edge.
• Act as a senior external-facing advisor, helping executive clients interpret complex analytics and convert them into strategic action.
• Expand the organization’s thought leadership through partnerships, industry engagement, and external visibility.
• Guide cross-functional teams spanning product, data science, engineering, research, and analytics to build scalable intelligence solutions.
• Oversee enterprise transformation programs, including the rollout of AI-powered tools and new operating models.
• Collaborate with senior leadership to align intelligence capabilities with long-term commercial and strategic objectives.

Candidate profile

• Proven senior leadership experience building and scaling multi-disciplinary teams across product, data science, engineering, analytics, and research.
• Track record of owning P&L at scale, preferably at $50M+ level, with evidence of revenue growth and operational improvement.
• Deep knowledge of AI transformation, analytics, and technology-driven business model innovation.
• History of turning data, intelligence, and emerging technologies into scalable commercial offerings.
• Experience leading enterprise-scale transformation in AI, data, or digital innovation settings.
• Strong understanding of how AI and data insights can be embedded in consulting, advisory, or professional services environments.
• Executive communication skills with the ability to influence CEOs and other senior stakeholders.
• Ability to anticipate market shifts and shape forward-looking technology and product strategies.
• Entrepreneurial leadership style with experience creating high-performing cross-functional teams.
• Industry visibility or recognized thought leadership in AI, analytics, intelligence, or product innovation is strongly preferred.

Compensation and benefits

• Annual base pay is expected to be in the range of $450,000 to $500,000.
• Medical, dental, and vision coverage with substantial employer support.
• 401(k) retirement plan with a generous company match.
• Paid parental leave available to all parents.
• Flexible paid time off and a generous holiday allowance.
• Employer-paid life insurance, short-term disability, and long-term disability coverage.
• Wellness and mental health support, including employee assistance access and fitness benefits.
• Employee discounts, pet insurance options, and other lifestyle benefits.
• Remote flexibility, global collaboration, and occasional travel opportunities.

Application and selection process

Applications are handled by the partner company, which also manages the next steps in the hiring process. A matching system is used to review applicants against the role’s core requirements, and shortlisted candidates are passed on to the hiring company. Final hiring decisions, interviews, and assessments are completed by the employer’s internal team.

Data privacy and AI use notice

Submitting an application means your personal data may be processed to assess suitability and share relevant information with the hiring employer under applicable data protection laws, including GDPR. You can exercise your rights to access, correct, delete, or object to processing at any time.

AI tools may support parts of the recruitment workflow, such as reviewing applications, analyzing resumes, or checking responses for possible inconsistencies or verification signals. These tools assist recruiters but do not replace human judgment, and the final hiring decision is made by people. For more information about data handling, you may contact the hiring team.