Enterprise Software & AI Executive
I build and scale the teams, programs, and deployment practices that turn enterprise AI strategy into measurable customer outcomes. My leadership spans Product, Platform, Customer Success, Alliances, Professional Services, Architecture, and AI — with hands-on credibility across Agentforce, Data Cloud, RAG, multi-agent systems, and enterprise integration.
Always open to exchanging ideas with executives, founders, partners, and builders shaping the next era of enterprise AI.
Executive leadership at the AI frontier
A rare blend of product, architecture, customer success, alliances, and professional services leadership — focused on practical AI adoption and measurable enterprise outcomes.
What I’m known for
Leading AI adoption from strategy to execution, while connecting executive priorities to field-ready deployment patterns.
- Advise CIOs, CTOs, CDOs, and VPs on AI roadmaps and architecture
- Turn emerging AI capabilities into field-ready enablement and deployment frameworks
- Lead workshops, executive sessions, and architecture reviews for complex customers
- Influence product direction through customer, partner, and field feedback loops
Where I create impact
Customer-facing technical organizations and adoption motions that scale across products, regions, and partner ecosystems.
- AI enablement for Agentforce, Data Cloud, RAG, and enterprise AI strategy
- Customer success, adoption, consumption, renewals, and expansion outcomes
- Partner enablement, advisory boards, and global readiness programs
- Escalation leadership for complex deployments and red accounts
VP-level leadership with builder credibility
My differentiation is the combination of executive operating range and hands-on technical judgment: I can lead the organization, influence the product, advise the customer, and understand the architecture deeply enough to make the right tradeoffs.
Build and scale teams
Develop high-performing technical organizations across consultants, architects, developers, customer success teams, and partner ecosystems.
- Team development, mentorship, capacity planning, and operating cadence
- Cross-functional leadership across Product, Success, Alliances, Architecture, and Services
- Enablement systems that turn expert knowledge into repeatable execution
Drive customer and business outcomes
Connect enterprise strategy to adoption, consumption, renewal, expansion, and measurable business value.
- Executive alignment for complex transformations and regulated-industry deployments
- Adoption and escalation leadership for strategic accounts and red-account recovery
- Outcome orientation across AI, platform modernization, CPQ, Lightning, and service transformation
Influence product and strategy
Bridge product teams, customers, partners, and the field to turn market feedback into practical roadmaps and deployment guidance.
- Outbound product leadership for AI, Agentforce, and Data Cloud adoption
- Partner advisory programs, field readiness, and executive workshops
- Feedback loops that improve product maturity and enterprise readiness
Scale AI responsibly
Help organizations move beyond demos by balancing innovation with governance, data grounding, integration, and operational readiness.
- Reference architectures for agentic AI, RAG, data libraries, and integration
- Governance, guardrails, identity, privacy, and deployment maturity
- Executive-to-practitioner enablement that accelerates adoption safely
Technical depth that strengthens executive leadership
This section intentionally keeps the technical signal. For AI leadership roles, credibility comes from knowing how enterprise AI actually ships: data, architecture, integration, governance, and operations.
Agentic systems
Designing multi-agent workflows that operate safely across enterprise systems.
- Orchestration patterns (async workflows, retries, fallbacks)
- Tool integration and structured actions
- Context hygiene and state/session strategies
Data grounding (RAG)
Making outputs trustworthy through retrieval quality and data discipline.
- Chunking & transformation strategies
- Vector indexing, search grounding, relevance tuning
- Evaluation thinking for retrieval + generation
Interoperability (MCP / A2A)
Standards-first approach to connecting agents with tools and systems.
- Interface patterns for tools, data sources, and actions
- Consistency, composability, and operational simplicity
Enterprise integration
AI systems are distributed systems — security, latency, and reliability apply.
- API-first + event-driven integration patterns
- Identity, access, and privacy controls
- Observability & operational readiness mindset
Business outcomes, scale, and credibility
Metrics selected to support executive positioning without exposing customer names or internal segmentation labels.
Selected executive highlights
- Act as outbound product leader and executive technical advisor for Salesforce AI, Agentforce, and Data Cloud.
- Support global enterprise AI programs through executive workshops, architecture reviews, deployment guidance, and escalation management.
- Authored and co-authored Agentforce and AI guides covering RAG, session tracking, multilingual agents, data libraries, and interoperability.
- Led partner AI enablement, advisory board engagement, and global field readiness programs for enterprise AI adoption.
- Supported business outcomes including AI-driven call deflection, platform modernization, CPQ expansion, renewal alignment, and red-account recovery.
Career journey
Progressive leadership across enterprise software, product management, consulting, customer success, partner ecosystems, architecture, and artificial intelligence.
- Serve as outbound product leader and executive technical advisor for Salesforce AI, Agentforce, and Data Cloud.
- Guide Customer Zero, Hero Agent, and global enterprise AI programs through workshops, architecture reviews, deployment guidance, and escalations.
- Author AI deployment frameworks and technical guides for RAG, Agentforce sessions, multilingual agents, and data libraries.
- Owned the Salesforce Generative AI partner roadmap and led global AI partner enablement strategy.
- Chaired the Partner AI Advisory Board and translated partner/customer feedback into readiness programs.
- Owned portfolio health, adoption, renewals, and expansion for enterprise customers across the Americas.
- Supported AI-driven call deflection, Lightning transformations, CPQ expansions, and red-account recoveries.
- Delivered executive-level technical enablement for Salesforce customers and partners across Latin America.
- Led architecture initiatives across SSO, Communities, platform scalability, and partner readiness.
- Led enterprise cloud transformation initiatives, solution architecture, staffing, delivery governance, and executive advisory.
- Led cross-functional teams delivering Oracle Fusion CRM from concept to release, informed by customer implementation insights.
- Managed multi-region technical teams across the U.S. and Latin America, including growth, capacity, budget, and customer satisfaction.
Certifications & proof of craft
Kept compact for readability — built over many years of hands-on deployment work.
Salesforce certifications (24x)
Badges & programs
Industry depth
Talks & workshops
Presented and delivered workshops globally, including Dreamforce, TDX, and Connections. Hosted Strategic Innovation Center sessions with enterprise customers across executive and technical audiences.
Let's connect
Best for thoughtful conversations around enterprise AI adoption, product and platform strategy, customer success transformation, partner ecosystems, and technical executive advisory.
Start a conversation
I enjoy connecting with leaders, builders, partners, and peers working on enterprise AI, customer outcomes, platform strategy, and responsible deployment at scale.