Greater Hartford
I am an Enterprise Architect with 23+ years of experience across Business, Data, and CRM / Contact Center domains, supporting large, multi‑region transformation programs. Over the last 4 years, I have been operating in an Enterprise Architecture role, leading and facilitating large‑scale Architecture Reviews (ARBs) across CRM ecosystems, enterprise data platforms, integrations, analytics, and AI‑enabled CRM capabilities. My work focuses on architecture governance and early‑stage discovery, helping business and technology teams clarify intent, frame architecture‑ready problem statements, and align solutions to an enterprise target‑state / reference architecture. I bring strong depth in enterprise data architecture, including canonical data models, CRM–MDM–ERP and surrounding application alignment, and integration guardrails. I am also actively involved in AI enablement and governance, coordinating AI security and data privacy reviews, supporting enterprise Copilot adoption (M365 Copilot Champion), and building internal EA-AI assistants to improve architecture review transparency and decision‑making. Technology / Platforms: I work across CRM, data, analytics, and AI ecosystems including Salesforce, enterprise data platforms, integration layers, and AI‑enabled tools such as conversation intelligence, sales enablement, and customer support automation platforms. Functional Competencies: My strength lies at the intersection of business and technology, working with Sales, Pre-Sales, Marketing, Service/Support/Experience Cloud, and Sales Operations teams to translate business intent into architecture‑ready processes, data models, and platform decisions. Project Management Competencies: I am comfortable operating in complex delivery environments, partnering with delivery and program teams to manage risk, dependencies, and architectural decision points. Roles & Responsibilities: I serve as an Enterprise Architect for CRM, Data, Analytics, and AI platforms, leading architecture reviews, enabling early discovery, and governing enterprise target‑state and reference architectures.
Serve as an Enterprise Architect leading architecture governance across CRM, data, integration, analytics, and AI‑enabled platforms. • Lead and facilitate large‑scale Architecture Review Boards (ARBs) across CRM ecosystems, enterprise data platforms, integrations, analytics, and AI‑enabled CRM capabilities • Conduct early‑stage enterprise discovery to clarify business intent, identify cross‑domain impacts, and frame architecture‑ready problem statements • Govern enterprise target‑state and reference architectures, ensuring alignment across CRM-MDM-ERP, and surrounding application ecosystems • Provide leadership in enterprise data architecture, including canonical data models, system‑of‑record alignment, and integration guardrails • Partner closely with Security, Privacy, IAM, Data, and AI governance teams, coordinating AI security and data privacy reviews for new initiatives and vendors • Actively support enterprise AI enablement, including M365 Copilot adoption (Copilot Champion) and building internal EA‑AI assistants to improve architecture review transparency and decision‑making
Led data architecture and governance initiatives across Salesforce CRM and integrated enterprise applications. • Owned enterprise-wide data alignment across CRM, MDM, ERP, and surrounding platforms to improve consistency and reduce fragmentation • Defined data models, integration patterns, and conversion rules supporting customer, product, order, and analytics domains • Governed Global Customer Data Quality rules and policies, partnering with business, data governance, and platform teams to ensure accuracy, consistency, and compliance across regions • Worked closely with business, product, and delivery teams to translate requirements into data‑centric architectural designs • Supported architecture and security reviews by ensuring data, integration, and platform designs aligned with enterprise architectural standards