Expertise
Areas of Practice
Two disciplines, one unified practice: enterprise technology leadership and agentic AI architecture.
Discipline 1
Enterprise Leadership
Product Strategy
Defining product vision, roadmaps, and OKRs aligned to enterprise business objectives.
Salesforce CRM
End-to-end Salesforce implementation, configuration, and post-launch optimization across Sales, Service, and Marketing clouds.
IT Project Management
Structured delivery of complex technology programs on scope, on schedule, and within budget at Fortune 500 scale.
Business Analysis
Translating stakeholder requirements into precise technical specifications and user stories that development teams can execute.
Agile / Scrum
Scaling Agile methodologies across large, multi-team organizations with diverse stakeholder ecosystems.
Data Analytics
Designing data models, reporting frameworks, and dashboards that turn operational data into decision-grade insights.
Cloud Integration
Architecting integrations between enterprise systems, cloud platforms, and third-party APIs using event-driven and REST patterns.
Database Management
SQL Server, data migration strategy, schema design, and performance optimization for enterprise data environments.
Discipline 2
AI & Agentic Systems
Agentic AI Workflow Design
Designing autonomous agents that perceive, reason, and act across multi-step enterprise workflows with minimal human intervention.
Multi-Agent Orchestration
Architecting systems where specialized agents collaborate, delegate, and route tasks to deliver complex outcomes at scale.
RAG System Architecture
Building Retrieval-Augmented Generation pipelines that ground AI responses in proprietary organizational knowledge bases.
LLM Integration & Fine-Tuning
Integrating OpenAI, Anthropic, and open-source models into production systems, including domain-specific fine-tuning.
Intelligent Automation Strategy
Designing self-healing automation pipelines that learn, adapt, and optimize operational processes continuously.
AI Product Management
Defining roadmaps, success metrics, and go-to-market strategies for AI-powered products in enterprise environments.
Technology Stack
Tools & Platforms
Enterprise & CRM
AI & Machine Learning
Infrastructure & Development
Common Questions
FAQ
What does your Product Management process include?
My Product Management approach includes strategic planning, stakeholder alignment, Agile methodologies, user story development, sprint planning, and end-to-end project delivery with measurable business outcomes.
How do you approach Salesforce CRM implementations?
I follow a structured approach: requirements gathering, system architecture design, data migration planning, custom configuration, integration with existing systems, user training, and post-implementation support for optimal ROI.
What industries have you worked in?
I have extensive experience across financial services (Blackstone Group, Bayview Asset Management), technology (ConnectWise, Johnson Controls), travel and hospitality (Norwegian Cruise Line), and retail and fashion (FASHIONPHILE).
What is your typical project timeline?
Project timelines vary based on scope and complexity. Salesforce implementations typically take 3 to 6 months, business process optimization projects take 2 to 4 months, and product strategy initiatives are ongoing with quarterly reviews.
Do you work with remote teams?
Yes. I have extensive experience leading remote and hybrid teams across multiple time zones, using Agile methodologies, JIRA for project tracking, and modern collaboration tools to ensure seamless communication and delivery.
Get in Touch
Open to Advisory & Consulting Engagements
Let's explore how to work together.