VP, AI Value Delivery - Retail (Remote)

Introduction

Job Title: Vice President, AI Value Delivery

About SymphonyAI: SymphonyAI is redefining how enterprises unlock value through AI. Within Retail and CPG, our CINDE platform powers intelligent merchandising decisions across pricing, promotions, assortment, and customer analytics. We are building an AI-first Value Delivery organization focused on one outcome: turning AI into

measurable, validated profit for our clients.

Overview: We are hiring a Vice President, AI Value Delivery to lead global execution and ensure every CINDE deployment delivers quantifiable business impact. This is not a traditional delivery role. This leader owns end-to-end value realization from onboarding to sustained profit generation. You will define the operating model, build a global team, and serve as the executive face of client outcomes.

Job Description Key Responsibilities: End-to-End Value Delivery:

• Own global delivery of CINDE across pricing, promotions, assortment, store execution, and customer analytics.
• Drive client adoption and capability building by embedding CINDE outputs into merchant and category workflows, training power users, and establishing recommendation override and governance protocols.
• Drive measurable business outcomes tied to profit, ROI, and operational KPIs.
• Ensure every deployment translates into validated financial impact.

Build and Scale the Function:

• Stand up and lead a global AI Value Delivery organization.
• Hire and develop Delivery Directors, Value Architects, AI Leads, and Embedded Analysts.
• Scale operations across US, EMEA, and APAC.

Define the Delivery Playbook:

• Establish the end-to-end CINDE delivery model, including data foundation and integration, AI model configuration and calibration, workflow execution, value measurement and validation, and change management.
• Define repeatable delivery playbooks across Grocery, C-Store, Wholesale Co-ops.
• Standardize onboarding, implementation, and value validation frameworks.
• Establish best practices for AI-driven merchandising transformation.

Client Leadership and Executive Engagement:

• Lead executive relationships with C-suite stakeholders (CMO, Chief Merchant, COO).
• Own QBRs, value validation sessions, and strategic reviews.
• Act as the trusted advisor on AI-driven business transformation.

Commercial and Growth Impact:

• Partner with Sales to structure outcome-based contracts tied to measurable KPIs, validated profit milestones, and expansion opportunities.
• Support ARR growth through delivery credibility and expansion opportunities.
• Align delivery success with long-term client retention and expansion.

Cross-Functional Leadership:

• Partner with Product, Engineering, and Data Science to shape roadmap priorities.
• Translate client insights into product innovation.
• Ensure seamless execution across technical and business teams.

What Success Looks Like (FY2026):

• Significant validated incremental profit delivered across client portfolio.
• Strong client satisfaction with NPS exceeding expectations.
• Fast time-to-value for all new deployments.
• Zero unplanned churn across key accounts.
• Fully scaled global delivery team.
• Meaningful contribution to CINDE ARR growth.

What You Bring: Experience:

• 10+ years in enterprise software, AI or analytics delivery, or strategy consulting.
• Proven experience delivering measurable business outcomes, not just implementations.
• Strong background in retail or CPG merchandising, including pricing, promotions, assortment, and category management.
• Experience deploying AI or advanced analytics solutions at scale.

Leadership:

• Track record of building and scaling global, high-performing teams.
• Experience managing complex, multi-region delivery organizations.
• Strong executive presence with the ability to influence senior stakeholders.

Commercial Acumen:

• Ability to connect technical capabilities to financial outcomes.
• Experience structuring or supporting outcome-based engagements.
• Demonstrated P&L accountability and ability to connect technical capability to measurable business value.

Technical and Domain Depth:

• Familiarity with retail data ecosystems including POS, loyalty, and syndicated data.
• Understanding of AI and machine learning applications in business workflows.
• Ability to bridge business strategy with technical execution.

**Why This Role Matters:…