Sr. Director, Value Engineering

About the Role

Key Responsibilities

• Lead the design and articulation of value propositions for Adobe's products and solutions, demonstrating data-driven insights and industry benchmarks.
• Act as a senior advisor in executive-level client interactions, understanding customer problems and business objectives, and translating technical capabilities into measurable business outcomes.
• Coordinate the use of advanced analytics, financial modeling, and AI-driven insights to quantify the business impact of solutions for prospects and existing clients.
• Serve as a subject matter expert and public advocate for value-based solution design, presenting at industry forums, authoring white papers, and representing the organization in key external engagements.
• Build and lead a high-performing team, encouraging a culture of innovation, collaboration, and operational excellence.
• Work closely with product management, engineering, and sales teams to ensure that value engineering principles are embedded in solution design, go-to-market strategies, and customer success initiatives.
• Monitor industry trends, customer needs, and competitor offerings to inform value engineering approaches and maintain a differentiated market position.
• Establish and refine frameworks, methodologies, and tools for value assessment and delivery, ensuring alignment with evolving business objectives and technology landscapes.

Requirements

• Bachelor's or Master's degree in Engineering, Business, Computer Science, Data Science, or a related field; advanced degree preferred.
• 15+ years of experience in value engineering, management consulting, product strategy, or a similar subject area, with a track record of leadership in complex, cross-functional environments.
• Deep understanding of the intersection between technology (including AI, data analytics, and cloud platforms) and business value realization.
• Proven ability to develop compelling business cases and communicate the value of technology solutions to executive audiences.
• Demonstrated success in influencing product roadmaps and go-to-market strategies through value-driven insights.
• Experience in customer-facing roles, with a consultative approach to stakeholder engagement and change management.
• Strong analytical and problem-solving capabilities, with expertise in financial modeling, ROI analysis, and data interpretation.

Nice to Have

• Experience with AI, data analytics, and cloud platforms.
• Experience in leading organizational transformation initiatives.
• Experience working with enterprise clients and cross-functional teams.

Qualifications

• Educational background in Engineering, Business, Computer Science, Data Science, or related fields.

Benefits & Perks

• Competitive salary range of $199,500 to $371,900 annually, varying by location and experience.
• Potential eligibility for long-term incentives such as equity awards.
• Comprehensive benefits reflecting the cost of labor across U.S. markets.