Director Enterprise Architect Data & AI

Join our Digital & Technology - Enterprise & Solution Architecture unit at Animal Nutrition & Health and help shape the future of data architecture across the enterprise. We are seeking a seasoned Enterprise Data Architect who will also serve as a Data Domain Architect, driving strategic data initiatives, governance, and innovation across our global data landscape.

This role will be instrumental in designing and evolving enterprise-wide data architecture, enabling advanced analytics, AI/ML capabilities, and ensuring data integrity, security, and compliance across platforms., Enterprise Data Architecture Leadership: Define and evolve enterprise data architecture strategy, frameworks, standards, operating models, and ownership of data catalog, lineage, and metadata aligned with business and IT goals.

• Domain Data Architecture: Act as domain architect across key business areas, designing business-aligned data models, semantic layers, KPIs, and reusable data products while driving data maturity and MDM adoption.
• Data Platform & Integration: Architect scalable, resilient data platforms and ingestion pipelines (batch/streaming) using Kafka, Informatica, Databricks, APIs, and cloud-native services to meet SLAs for availability, quality, and performance.
• Governance, Security & DevOps: Establish data governance, security, and compliance standards; implement CI/CD, Infrastructure as Code, and DataOps practices to ensure quality, consistency, and secure delivery of data products.
• Cost Optimization & FinOps: Drive cloud FinOps best practices by designing cost-efficient data pipelines and platforms, monitoring usage, and optimizing resource consumption through serverless and reserved capacity models.
• Innovation & Stakeholder Enablement: Enable advanced analytics and AI/ML use cases, lead innovation pilots and PoCs, provide architectural oversight, and mentor teams while partnering closely with business and technology stakeholders., * Lead enterprise-wide data transformation initiatives to modernize and optimize data strategy and operations.
• Drive adoption of data-driven decision-making and influence strategic business and IT initiatives.
• Promote data innovation by identifying and implementing emerging technologies and advanced analytics solutions.
• Collaborate with global teams to design scalable, high-performance data platforms and architectures.
• Establish best practices for data governance, quality, and integration across the enterprise.
• Mentor and enable teams, fostering a culture of continuous improvement and data excellence., We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.

Do you have experience in Unity?, Do you have a Master's degree?, Cloud Data Architecture & Mesh: Design and lead a decentralized Cloud Data Mesh on AWS, integrating legacy enterprise systems (e.g., SAP S/4HANA, BW/4HANA) with cloud-native data platforms such as Databricks and Informatica.

• Data Governance, Security & MDM: Implement robust governance, security, and metadata frameworks using Databricks Unity Catalog, AWS IAM, and Informatica MDM to enable access control, privacy, lineage, discovery, and trusted master data.
• End-to-End Data Lifecycle Expertise: Demonstrate deep expertise across the full data lifecycle-from ingestion (SAP ingestion tools, low-code/no-code), transformation (Spark), to consumption via APIs and analytics platforms.
• Integration, Streaming & Platforms: Architect scalable batch and streaming data pipelines and enterprise integration patterns for complex ecosystems including SAP, CRM platforms, and modern data platforms (Databricks, Informatica; Palantir preferred).
• DataOps, DevOps & Cloud Enablement: Drive architectural adoption through DataOps practices, CI/CD pipelines, Infrastructure-as-Code (Terraform), and cloud-native DevOps to ensure automation, scalability, and agility on AWS.
• Leadership & Experience: Bring 17+ years of enterprise data architecture and domain modeling experience, strong stakeholder leadership and communication skills, and a Bachelor's/Master's degree in Computer Science, Data Engineering, or a related field.