Senior Principal Enterprise Data Architect, Process Mining & Commercial Data

Overview

This role is responsible for defining and implementing enterprise data architecture that enables commercial excellence, process mining, AI, automation, and advanced analytics across the organization. Leveraging deep expertise in Celonis and commercial data ecosystems, the Senior Principal Enterprise Data Architect will establish trusted, scalable, and AI-ready data foundations across Salesforce, SAP, Marketo, Power BI, and related business platforms while driving continuous improvement in data quality, governance, and business process performance.

Responsibilities

 

• Define and implement enterprise data architecture supporting commercial analytics, process mining, AI, automation, and digital transformation initiatives.
• Lead commercial data quality, governance, and Master Data Management (MDM) strategies to ensure trusted and consistent data across Salesforce, SAP, Marketo, Celonis, Power BI, and other business-critical platforms.
• Serve as the subject matter expert for Celonis architecture, including data models, transformations, process mining capabilities, and Action Flows.
• Establish data quality standards, monitoring frameworks, and validation processes to improve data integrity and business outcomes.
• Design and govern scalable, secure, and auditable data solutions that support enterprise AI, automation, and predictive analytics initiatives.
• Define standards and best practices for data engineering, integration frameworks, CI/CD, and MLOps across commercial data environments.
• Lead the design and development of Python and SQL-based data pipelines integrating commercial systems and enabling advanced analytics.
• Partner with business and technical stakeholders to identify opportunities for process optimization, automation, and operational excellence through process mining.
• Drive continuous improvement through enhanced visibility into commercial processes, data performance, and workflow automation.
• Provide technical guidance and architectural expertise across cross-functional teams spanning data engineering, analytics, and AI initiatives.

 

Qualifications

 

• 12+ years of experience in enterprise data architecture, data engineering, process mining, AI platforms, MLOps, or related technical disciplines.
• Deep expertise in Celonis, including process mining, data modeling, transformations, and Action Flows.
• Strong hands-on experience with Salesforce, Python, and SQL within large-scale commercial data environments.
• Demonstrated experience designing and implementing enterprise data governance, data quality, and Master Data Management (MDM) frameworks.
• Experience defining architecture standards and operating models for data, analytics, AI, and automation platforms.
• Knowledge of cloud technologies and distributed data architectures, preferably within Microsoft Azure environments.
• Experience integrating complex commercial systems, including CRM, ERP, marketing automation, and business intelligence platforms.
• Strong problem-solving skills with a track record of delivering scalable data solutions in complex, global organizations.
• Excellent communication and stakeholder management skills, with the ability to influence technical and business audiences.
• Experience with process automation, orchestration tools, and modern DevOps/MLOps practices.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field; Master’s degree preferred.

 

Preferred Experience

• Experience architecting commercial data platforms supporting global sales, marketing, service, and operations teams.
• Expertise in AI and machine learning platform enablement, including production-ready data and model lifecycle management.
• Experience driving process improvement initiatives through Celonis process intelligence and automation capabilities.
• Background working in highly regulated, global, or enterprise-scale environments.
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