Senior Director of Enterprise Data Architecture

2 weeks ago


White Plains, New York, United States Solomon Page Full time
Senior Director of Enterprise Data, Architecture & Integration

Solomon Page is seeking a highly experienced Senior Director of Enterprise Data, Architecture & Integration to lead our client's digital transformation efforts. As a key member of the executive team, you will be responsible for establishing and implementing enterprise architecture principles, developing a cohesive strategy and operating model for enterprise data management and advanced analytics, and aligning with the company's digital transformation objectives.

Key Responsibilities:
  • Develop and implement a comprehensive enterprise data architecture strategy, ensuring seamless integration with business processes and systems.
  • Lead the transition from disparate legacy ERP systems to a unified global system, ensuring seamless processes, data integration, and continuous improvement.
  • Participate in Project Butterfly governance forums as required, ensuring alignment with company objectives.
  • Evolving the maturity of the enterprise data foundation, ensuring it supports ongoing Master Data Management (MDM) and aligns with both business and IT processes.
  • Strengthen the Data & Analytics (D&A) program, emphasizing governance, delivery, and the development of AI-ready data strategies and solutions.
  • Oversee data and analytics projects in collaboration with the company Data Council, focusing on building and maintaining a single source of truth through standardized reporting frameworks and robust data sets.
  • Ensure that all key milestones are met across multiple integration points, maintaining focus on scalability and performance for Project Butterfly.
  • Serve as a hands-on technical lead in ongoing data, integration, and architecture workstreams, particularly in the migration from legacy to cloud-based ERP systems.
  • Manage vendor relationships and streamline/right-size the sourcing model for enterprise data management and analytics.
  • Direct the work of the MDM Manager, Data Engineer, and Data & Analytics Lead, as well as outsourced data engineering partners and consultants.
  • Enterprise architecture must be closely aligned with the organization's business strategy, goals, and objectives outlined in company's Corporate Plan, ERP Mission and overarching digital transformation goals.
  • Ensure that every IT initiative supports business outcomes, enabling agility and responsiveness to market changes. Regularly engage with business stakeholders to align IT roadmaps with business priorities.
  • Data is a strategic asset and must be governed to ensure accuracy, consistency, security, and accessibility.
  • Establish robust data governance frameworks, including data stewardship, MDM practices, and data quality management. Implement data standards and policies that ensure data integrity across all systems.
  • Architectures must be designed to scale efficiently and adapt to future business needs and technology advancements including M&A and advanced analytics/AI.
  • Design systems with modularity, reusable components, and cloud-native solutions to allow for easy scaling. Embrace microservices architecture to enable flexibility in deploying new features or adapting to changing demands.
  • Systems and applications should be interoperable and capable of seamless integration across the enterprise.
  • Define and implement standard integration protocols and APIs to ensure smooth data exchange between disparate systems, particularly in transitioning from legacy to cloud-based solutions.
  • Security must be embedded in all aspects of enterprise architecture to protect data and comply with regulatory requirements.
  • Develop and enforce security policies, access controls, and encryption standards across all platforms. Regularly assess and update systems to comply with industry regulations and protect against emerging threats.
  • Standardization of technology platforms, processes, and data models is essential to reduce complexity and enhance efficiency.
  • Promote the use of standard tools, technologies, and methodologies across the enterprise. Streamline processes and reduce redundant systems by consolidating technology stacks and standardizing workflows.
  • Embrace innovation to stay ahead in the rapidly evolving technology landscape, ensuring that the enterprise remains competitive.
  • Foster a culture of continuous improvement and exploration of emerging technologies such as AI, machine learning, and advanced analytics. Implement a governance framework that balances innovation with risk management.
  • Investments in IT should deliver maximum value while being cost-effective.
  • Optimize the IT portfolio by evaluating the total cost of ownership (TCO)

Required Qualifications:

  • Proven track record of proficiency in defining & implementing enterprise architecture principles and the ability to tailor for mid size companies.
  • Experience with greenfield data strategy, governance and foundational concepts for data architecture and engineering, AI & ML
  • Experience with data integration architecture and engineering in a Buy and Integrate ecosystem
  • Experience in ERP transformations, with a strong emphasis on Oracle Fusion ERP.
  • Preferred experience in the Consumer Packaged Goods (CPG) and/or Manufacturing sectors.
  • Strong leadership skills with the ability to manage cross-functional teams and external partners.
  • Excellent communication and stakeholder management skills, with the ability to influence at all levels of the organization.
  • Deep understanding of enterprise data architecture, integration strategies, and the latest advancements in AI and analytics.

About Solomon Page

Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. We pride ourselves on offering customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results.



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