Director of Business Value from Enterprise AI [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of Business Value from Enterprise AI based in United States.

This is a high-impact leadership opportunity for an experienced business and AI strategist to shape how enterprise artificial intelligence delivers measurable value across a complex organization. The role sits at the intersection of business transformation, technology strategy, and change management, turning emerging AI opportunities into scalable solutions with tangible outcomes. You will work closely with senior executives and cross-functional teams to prioritize initiatives, guide buy-versus-build decisions, and ensure successful adoption across the enterprise. This position requires both strategic vision and operational rigor, combining technical AI fluency with strong business acumen. The ideal candidate thrives in ambiguous environments, builds trusted relationships with stakeholders, and is passionate about translating innovation into measurable business impact.

Accountabilities:

• Own and lead the end-to-end demand-to-value pipeline for enterprise AI initiatives, including opportunity identification, prioritization, solution evaluation, adoption, and ROI measurement.
• Partner with business leaders and executives to identify high-value use cases and transform ambiguous challenges into actionable AI opportunities.
• Evaluate and prioritize AI initiatives based on business impact, technical feasibility, risk, cost, and organizational readiness.
• Lead buy-versus-build assessments, including vendor evaluations, market analysis, recommendation development, and implementation oversight.
• Establish baselines, KPIs, and success metrics to measure business outcomes and demonstrate tangible value from AI investments.
• Drive enterprise adoption strategies through training, communication plans, change management initiatives, and stakeholder engagement programs.
• Serve as a strategic advisor to non-technical leaders, translating complex AI concepts into business-focused recommendations and actionable insights.
• Build, lead, and mentor a high-performing team responsible for business engagement, demand shaping, and enterprise AI execution.
• Develop strategic roadmaps, governance processes, and operational frameworks that enable scalable AI adoption across multiple business functions.
• Collaborate with technical teams to validate vendor claims, assess model capabilities and limitations, and ensure solutions align with organizational objectives.

Requirements:

• 15+ years of experience in business transformation, strategy, enterprise technology, operations, product leadership, or related executive roles.
• 5+ years of experience leading large-scale cross-functional programs, organizational transformations, or technology-driven initiatives with direct people management responsibilities.
• Strong technical understanding of modern AI, machine learning, and generative AI concepts, including model capabilities, limitations, training methodologies, evaluation frameworks, and practical deployment considerations.
• Demonstrated ability to differentiate traditional machine learning approaches from generative AI solutions and apply this understanding to strategic decision-making.
• Proven track record of translating business challenges into technology solutions that deliver measurable operational or financial outcomes.
• Experience leading vendor evaluations, procurement initiatives, and buy-versus-build decision processes.
• Expertise in defining business cases, ROI frameworks, performance metrics, and adoption measurement strategies.
• Strong executive communication and stakeholder management skills, with the ability to influence senior leaders and align diverse teams.
• Experience building and leading high-performing teams while creating scalable operating models and governance structures.
• Strong analytical thinking, strategic planning, and problem-solving capabilities in complex and evolving environments.
• Experience in enterprise AI, digital transformation, automation programs, consulting, or business-side product leadership is highly desirable.
• Familiarity with organizational change management methodologies and enterprise enablement strategies is preferred.

Benefits:

• Competitive compensation package with a base salary range of $280,000 – $420,000 annually , depending on experience and location.
• Performance-based bonus opportunities.
• Equity participation as part of the total rewards package.
• Comprehensive healthcare and employee benefits programs.
• Fully remote work environment with flexibility across the United States.
• Opportunity to work on transformative AI initiatives with enterprise-wide impact.
• Exposure to cutting-edge AI technologies and strategic decision-making at the executive level.
• Career growth opportunities within a fast-moving, innovation-driven organization.
• Inclusive and collaborative culture that values leadership, innovation, and continuous learning.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.