Solution Architect

Solution Architect is a strategic leadership role responsible for the end-to-end design and realization of a comprehensive supply chain solution portfolio. Acting as the critical bridge between complex global planning and analytics challenges and technical implementations, the SA ensures supply chain systems, shared infrastructure, and technology solutions align with the organization's long-term "To-Be" vision., * Business Strategy & Blueprinting.

• Architectural Translation: Convert high-level business requirements and value streams into actionable technical blueprints.
• Product Lifecycle Alignment: Partner with product owners and solution owners to maintain a robust architectural runway that supports future feature sets without accumulating excessive technical debt.
• Impact Assessment: Evaluate how proposed changes affect business capabilities and current-state processes to ensure targeted business outcomes are met.
• Technology Portfolio Orchestration: Monitor the solution ecosystem to identify misalignment, aging technologies, or critical deficiencies in Legacy systems.
• Modernization & Retirement: Lead "Keep vs. Retire" assessments, supporting product managers in decommissioning end-of-life systems and transitioning to modern stacks.
• Innovation & R&D: Analyze emerging market trends (AI/ML, edge, etc.) and perform proof-of-concept implementations to determine their practical application to the business model.
• Solution Design & Delivery: Lead the evaluation and design of architecture spanning multiple applications, ensuring consistency across cloud, on-prem, and hybrid environments.
• Strategic Road Mapping: Develop and maintain the evolution roadmap from current-state to future-state architecture.
• Agile Integration: Provide high-level consultancy to decentralized agile teams, ensuring individual product designs roll up into a cohesive enterprise strategy.
• Governance & Enterprise Guidance: Define principles, guidelines, and reference patterns (UML/ArchiMate) to streamline decision-making, in close collaboration with enterprise architecture and the technical review board.
• Compliance & Assurance: Direct governance activities to ensure all solution designs meet security, privacy, and regulatory standards.
• Responsible AI Governance: Ensure AI-enabled solutions comply with enterprise standards for security, privacy, data governance, explainability, and ethical use of AI.
• Community of Practice: Foster a culture of architectural excellence by mentoring solution owners and lead developers.

• Education: Bachelor's degree in computer science, system analysis, or a related field (master's degree preferred).
• Experience: 6+ years in multiple IT disciplines (eg, application development, integration, middleware, cloud architecture, or data and analytics).
• Planning: Deep understanding of supply chain planning processes and the enterprise platforms that support them.
• Forecasting: Proven capability in statistical forecasting and enabling ML-driven forecasting solutions.
• Data & Analytics: Hands-on experience with data platforms, including warehouses, lakehouses, data transformation pipelines, and MDM.
• Integration: Strong knowledge of integration patterns (APIs, event streaming, MFT) and experience with iPaaS/middleware solutions in complex B2B ecosystems.
• Cloud: Solid experience across major cloud platforms (Azure, AWS, GCP), designing scalable, cloud-native architectures.
• Non-Functional Requirements (NFRs): Expertise in designing for performance, scalability, resilience, security, and cost efficiency.

The successful candidate will lead the architectural path, leveraging deep experience in supply chain optimization, integrated planning, and technology. Solutions will be technically sound, financially viable, scalable, and resilient within the enterprise's governance framework and the evolving demands of the global market., * Education: Bachelor's degree in computer science, system analysis, or a related field (master's degree preferred).

• Experience: 6+ years in multiple IT disciplines (application development, integration, middleware, cloud architecture, or data and analytics).
• Planning: Deep understanding of supply chain planning processes and the enterprise platforms that support them.
• Forecasting: Proven statistical forecasting and ML-driven forecasting solution experience.
• Data & Analytics: Hands-on experience with data platforms (warehouses, lakehouses, data transformation pipelines, MDM).
• Integration: Knowledge of integration patterns (APIs, event streaming, MFT) and iPaaS/middleware solutions in complex B2B ecosystems.
• Cloud: Solid experience designing scalable, cloud-native architectures across Azure, AWS, GCP.
• Non-Functional Requirements (NFRs): Expertise in performance, scalability, resilience, security, and cost efficiency.
• Technical Stack: Proficiency in Python, Java, SQL, and Front End technologies (JS/HTML/CSS); experience with Databricks Lakehouse, Oracle, PostgreSQL, SQL Server; cloud-native patterns, integration, networking, security; Agile, DevOps, CI/CD, ITIL/ITSM, Waterfall; modeling with ArchiMate, UML.

• Hybrid work model with flexibility.
• Generous medical, dental, vision and other health benefits.
• Paid parental and medical leave programs.
• 401(k) with company match and profit sharing.
• 15 days of paid time off plus company holidays.
• Tuition reimbursement and student loan repayment assistance.
• Opportunities to work with talented and driven individuals who respect each other, treat each other fairly and hold one another accountable for customer and company success.

HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries.