Role Overview
The Principal Data Architect, AI & Supply Chain Platforms will join our team to define and lead the enterprise data strategy supporting AI, analytics, and supply chain platforms for our enterprise clients. This role involves establishing enterprise data models, architectural standards, governance frameworks, and scalable data architectures required to accelerate AI adoption across complex supply chain and logistics environments. You will work closely with executive stakeholders, technology leadership, and business teams to bridge business requirements with technology strategy, accelerate architectural decision-making, and mentor data leadership.
- Enterprise Data Strategy: Create and maintain the enterprise data architecture roadmap supporting transportation, logistics, supply chain, and AI initiatives.
- Enterprise Data Modeling: Design and implement scalable enterprise data models that standardize data across operational, transportation, inventory, customer, and AI domains.
- AI-Ready Foundations: Ensure data platforms, pipelines, and structures are optimized for AI, machine learning, agentic AI, computer vision, and advanced analytics workloads.
- Governance & Standards: Define enterprise standards, design patterns, governance practices, metadata management, and architectural principles while partnering with governance teams to improve data quality, lineage, and master data management.
- Leadership & Stakeholder Collaboration: Translate business objectives and supply chain requirements into scalable architecture solutions, evaluate current platforms for modernization, and provide executive guidance as a trusted technical advisor.
- Lead the creation and execution of the enterprise data architecture roadmap tailored for complex supply chain, logistics, and AI transformation initiatives.
- Design and implement robust, scalable enterprise data models to unify operational, transportation, inventory, and AI domains.
- Architect AI-ready data foundations, pipelines, and structures optimized for machine learning, agentic AI, and advanced analytical workloads.
- Establish enterprise standards, metadata management, and data governance frameworks to ensure high data quality, lineage, and compliance.
- Act as a trusted technical advisor to executive stakeholders while mentoring internal data architects, engineers, and technology leaders.
Required Qualifications
10+ years of professional experience in enterprise data architecture and large-scale data modeling.
Strong expertise with cloud data platforms and modern data architectures (including data lakes, data warehouses, and lakehouse environments).
Proven experience supporting AI, machine learning, and advanced analytics initiatives.
Deep knowledge of data governance, metadata management, master data management, and data integration strategies.
Strong preference for hands-on platform experience with Snowflake, Microsoft Azure, Microsoft Fabric, Power Platform, and AI/ML ecosystems.
Excellent leadership, mentoring, and executive communication skills with the ability to bridge complex business requirements and technical execution.
Preferred Qualifications
Industry experience in Supply Chain, Fourth-Party Logistics (4PL), Transportation Management, Warehouse Operations, Inventory Optimization, or Manufacturing Distribution Networks.
Advanced degrees or certifications in Computer Science, Data Architecture, or related technical fields.
Location: Pittsburgh, PA
About Techstra Solutions
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com
Skills Required
- 10+ years of professional experience in enterprise data architecture and large-scale data modeling
- Strong expertise with cloud data platforms and modern data architectures (data lakes, data warehouses, lakehouse)
- Proven experience supporting AI, machine learning, and advanced analytics initiatives
- Deep knowledge of data governance, metadata management, master data management, and data integration strategies
- Hands-on platform experience with Snowflake, Microsoft Azure, Microsoft Fabric, Power Platform, and AI/ML ecosystems
- Excellent leadership, mentoring, and executive communication skills
- Industry experience in Supply Chain, 4PL, Transportation Management, Warehouse Operations, Inventory Optimization, or Manufacturing Distribution Networks
- Advanced degrees or certifications in Computer Science, Data Architecture, or related technical fields
What We Do
Techstra Solutions is a certified woman-owned consulting firm that provides strategy, technology and implementation support to large organizations undergoing digital and talent transformation. The rapid pace of technology innovation required to remain competitive, juxtaposed with the slow rate of change in many organizations, causes most to struggle. To be successful companies must drive new ways of working including the use of technology/analytics and new skillsets (hard/soft) deep into their culture so that they are able to rapidly and continuously react to change. They must also apply new approaches that empower their employees, ensuring its sustainability. At Techstra Solutions we focus on four key areas, otherwise known as the 4 A’s: Automation (Robotic Process Automation (RPA)/Intelligent Automation), Analytics (Reporting/Analytics/AI/ML), Application Modernization (Cloud, Mobility, etc), and Agile-based solutions (DevOps).
