Establish and own architecture strategy, principles, standards, and roadmaps for assigned domains to improve business capability maturity, reduce redundancy, and enable sustainable transformation.
Translate business priorities into target-state architectures, transition plans, and investment-aligned technology direction, including business capability, value stream, and system landscape views.
Define architecture requirements, decision frameworks, and acceptance criteria that guide solution design and support consistent delivery outcomes across programs and platforms.
Drive portfolio rationalization and platform evolution by assessing current-state capabilities, business value, functional overlap, costs, and vendor options, and by recommending invest, consolidate, replace, or retire actions.
Define enterprise data, process, and integration guardrails across the corporate systems landscape to improve interoperability, data quality, end-to-end process effectiveness, and readiness for AI-enabled use cases.
Provide architectural leadership in the selection of platforms, third-party solutions, and AI-enabled capabilities, including copilots, workflow automation, and decision support aligned to enterprise direction and business value.
Lead architecture forums, review boards, and working groups; manage standards and exceptions; and influence decisions across stakeholders to achieve coherent, scalable enterprise outcomes.

Significant experience with SAP and its capabilities for finance, supply chain/procurement, manufacturing/operations, order to cash, quality/compliance, asset management, and related data and analytics capabilities.
Significant experience with HCM systems, with Workday preferred.
Experience with enterprise integration platforms, with MuleSoft preferred.
Experience with Quality Management/Compliance/Regulatory systems. Arena, TrackWise, Veeva, and Polarion preferred.
Significant exposure to CRM and data management platforms. Salesforce and Databricks preferred.
Deep knowledge of enterprise/business architecture frameworks and methods such as TOGAF, Zachman, BIZBOK, or equivalent, including how to apply them to AI-enabled business capabilities.
Demonstrated ability to connect business strategy, operating models, process design, data flows, application portfolios, transformation roadmaps, and AI use cases grounded in enterprise data and workflow realities.
Working knowledge of AI/GenAI/Agentic AI concepts and enterprise application patterns, including intelligent assistants, workflow automation, document intelligence, knowledge retrieval, and vendor AI capabilities across platforms such as SAP, Workday, Salesforce, quality systems, and data platforms.
Excellent verbal and written communication skills, including the ability to influence senior leaders and cross-functional teams without direct authority.

Senior Staff Enterprise Architect – Corporate Systems

Key skills