This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Governance & AI Strategy Advisor based in United States.
This is a high-impact leadership opportunity for a strategic expert passionate about data governance, enterprise architecture, and AI-driven transformation. In this role, you will shape the long-term vision for a modern revenue operations ecosystem by ensuring a strong data foundation and driving intelligent automation across commercial functions. Working at the intersection of technology, business strategy, and sales operations, you will collaborate with cross-functional leaders to improve efficiency, enhance decision-making, and accelerate growth. You'll act as the strategic owner of internal AI capabilities, guiding the evolution of systems, processes, and governance frameworks. This role is ideal for someone who combines technical depth with business acumen and thrives in driving enterprise-wide innovation.
Accountabilities:
- Lead the design, modernization, and governance of enterprise revenue data architecture, ensuring scalable, accurate, and AI-ready data across Salesforce and interconnected business systems.
- Establish and oversee comprehensive data governance frameworks, including data quality standards, stewardship policies, monitoring processes, and continuous improvement initiatives.
- Serve as the strategic product owner for internal revenue technology and AI capabilities by defining long-term roadmaps, prioritizing initiatives, and managing the lifecycle of commercial systems.
- Develop and execute an "agent-first" AI strategy that identifies opportunities to automate workflows, improve sales productivity, and reduce operational friction.
- Partner with IT, enterprise data teams, business leaders, and external vendors to ensure seamless system integration, architectural alignment, and successful implementation of AI-enabled solutions.
- Optimize Salesforce architecture and related platforms to maximize data integrity, user adoption, and operational efficiency.
- Lead organizational change initiatives by promoting a data-first culture, driving adoption of AI-powered tools, and delivering enablement programs for commercial teams.
- Evaluate emerging AI and data technologies, manage strategic vendor relationships, and recommend solutions that support long-term business objectives.
Requirements
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business, or a related field; MBA or advanced technical degree preferred.
- 10+ years of leadership experience across Revenue Operations, Sales Operations, Enterprise Data Architecture, GTM Systems Strategy, or related disciplines.
- Deep expertise in Salesforce architecture, CRM optimization, enterprise data modeling, and large-scale data governance initiatives.
- Proven success designing and implementing enterprise-wide data governance programs while resolving complex data quality and architectural challenges.
- Strong product management experience with ownership of internal technology roadmaps and cross-functional operational platforms.
- Demonstrated experience evaluating, selecting, and implementing AI-powered sales enablement, automation, or workflow optimization solutions.
- Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into practical business strategies.
- Strong leadership, analytical thinking, change management, and problem-solving skills, with experience driving enterprise transformation across diverse teams.
Benefits
- Competitive base salary ranging from $170,900 to $225,000 USD, with eligibility for performance-based incentive compensation.
- Comprehensive medical, health, and life insurance coverage.
- Company-paid disability insurance.
- 401(k) retirement savings plan.
- 18+ days of paid time off, plus additional leave benefits.
- Opportunities for professional growth within a highly innovative, data-driven organization.
- Collaborative environment focused on technology, AI innovation, and continuous improvement.
- Moderate travel opportunities for conferences, leadership meetings, and collaboration across office locations.