Vice President, Enterprise Transformation & Architecture

Company Description Overview

We are seeking an experienced Vice President, Enterprise Transformation & Architecture to lead the design and delivery of next-generation business solutions that harness Databricks, Microsoft Fabric, AI, and enterprise application platforms. This individual will define end-to-end transformation strategies that connect core systems such as SAP, Salesforce, HRIS, Finance, Supply Chain, and Customer platforms into a unified data, analytics, automation, and AI ecosystem.

The ideal candidate combines deep ERP and business process expertise with modern data and AI architecture experience. This role will partner with business leaders, product teams, engineering organizations, data teams, security, and executive partners to align technology investments with strategic business objectives.

• Define end-to-end business solutions and transformation approaches aligned with business strategy, enterprise priorities, and process needs.
• Drive automation and tooling decisions using established standards, reference architectures, governance, and industry standards.
• Ensure technical solutions meet multi-functional business needs while remaining secure, scalable, reusable, supportable, and cost-effective.
• Translate complex business challenges into pragmatic roadmaps, target-state architectures, and sequenced implementation plans.

• Define target-state solution architectures aligned with enterprise strategy, operating model, process requirements, and measurable business outcomes.
• Develop transformation roadmaps that modernize ERP-centric environments through cloud, data, integration, automation, and AI capabilities.
• Lead solution definition across Finance, HR, Sales, Marketing, Supply Chain, Customer Operations, and other enterprise domains.
• Find opportunities to simplify processes, reduce technical debt, improve controls, and increase speed, quality, and operational efficiency.
• Serve as a trusted advisor to business and technology leadership on platform modernization, architectural trade-offs, and investment decisions.

• Design scalable architectures using Microsoft Fabric, Databricks, Azure data services, and AI platforms to access, integrate, and activate enterprise data.
• Architect governed data flows across SAP, Salesforce, HRIS, financial, customer, operational, and transactional systems.
• Define integration patterns using APIs, events, batch, streaming, data virtualization, and data products based on business and technical requirements.
• Establish enterprise information models, semantic layers, metadata, lineage, data quality, and master data practices.
• Drive lakehouse, analytics, and real-time data strategies that enable trusted self-service access without compromising security or governance.

• Identify and prioritize high-value AI, machine learning, generative AI, agentic workflow, analytics, and intelligent automation opportunities.
• Design reusable architectures for enterprise AI, process orchestration, knowledge access, decision support, and predictive insights.
• Embed human oversight, security, privacy, responsible AI, model risk, and operational controls into solution designs.
• Partner with business collaborators to define value cases, success measures, adoption plans, and scalable operating models.

• Establish reference architectures, standards, design patterns, decision criteria, and implementation guardrails.
• Lead architecture reviews and ensure alignment across application, data, integration, cloud, security, and AI domains.
• Drive platform and tooling decisions based on interoperability, scalability, security, resiliency, supportability, reuse, and total cost of ownership.
• Reduce duplication and complexity by promoting common services, shared data products, reusable integration patterns, and lifecycle management.
• Maintain alignment among business capability maps, transformation roadmaps, delivery portfolios, and enterprise architecture direction.

• Facilitate discovery sessions and process workshops that convert business needs into clear capability, data, integration, and technology requirements.
• Collaborate with executives, business owners, enterprise architects, product leaders, engineers, data teams, security teams, and external partners.
• Communicate complex architectures, dependencies, risks, options, and recommendations to both…