Data and AI Architect - Sustainability

Architecting Data & AI Solutions: Translate Sustainability Strategies into Digital Roadmaps. Convert complex sustainability business goals and regulatory requirements into clear, actionable digital architecture roadmaps, leveraging both off-the-shelf and custom digital solutions that support sustainability accounting, reporting, and risk management. Spearhead the creation of scalable, end-to-end data and AI architectures that prioritize sustainability and ESG (Environmental, Social, and Governance) data - including emissions, resource utilization, supply chain metrics, Green Ledger. Place a strong focus on integrating sustainability frameworks and reporting requirements into the overall data platform design. Architect and maintain robust, scalable data Lakehouse platforms (e.g., Databricks) capable of managing both structured and unstructured sustainability data. Develop and enforce masterdata management principles to ensure data consistency, quality, and traceability across all sustainability domains. Establish efficient data ingestion, transformation, and storage patterns that support advanced analytics, AI/ML, and sustainability reporting use cases - ensuring all data is governed, secure, and aligned with masterdata management best practices. Ensure the delivery of high-quality, well-modeled sustainability masterdata products that empower business users with self-service analytics and visualization tools (such as Power BI). Engage closely with business stakeholders, data modelers, data scientists, and engineers to understand sustainability data needs and deliver architecture solutions that meet organizational objectives and compliance standards. Lead initiatives that foster disruptive thinking and innovative approaches in sustainability data and AI architecture. Establish, mentor, and advocate best practices, standards, and principles for masterdata management and sustainability data governance throughout the enterprise. Define, communicate, and drive the overall data and AI architecture of the company, covering all data-related capabilities, processes, and technologies. Continuously and proactively assess the existing sustainability and data architecture and respective technology landscape to identify opportunities to simplify, consolidate, modernize, and reduce risks. Establish, mentor, and advocate processes, principles, and standards for enterprise and data architecture throughout the entire data ecosystem. Work closely with senior business stakeholders, Digital Partners, Data Platform Leads, and other domain architects to understand their sustainability and masterdata requirements, develop enabling architectures, and secure alignment and engagement for long-term strategic initiatives. Collaborate with other business domain architects, agile teams, and business stakeholders to shape the future of our company. Collaborate with the Data & AI Unit to ensure architectural decisions reflect best practices in sustainability and masterdata management, adapting guidelines based on lessons learned from implementations. Manage senior business stakeholders to secure strong engagement for the solution and ensure that the delivery of the project aligns with longer-term strategic roadmaps. Expertise in MDM platforms (e.g., Informatica MDM, SAP MDG) and data lakehouse technologies (e.g., Databricks, Snowflake, Azure Synapse). Experience with data integration tools and APIs (REST, SOAP, ETL frameworks).