Solution Architect, Data & AI

HAVI Logistics Business Services GmbH

Chicago, Northern (IL, KY)

Hybrid

USD 125,000 - 155,000

Full time

4 days ago

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Benefits offered by this job

Hybrid work model

Medical, dental, vision benefits

401(k) with match

Paid parental leave

Paid time off

Tuition reimbursement

Job summary

HAVI is seeking a Solution Architect, Data & AI to lead end‑to‑end design of supply chain solutions. You will bridge global planning and analytics with technical implementations, ensuring scalable, secure architectures aligned with the company vision.

The role requires 6+ years in IT disciplines, expertise in data platforms, cloud and ML-driven forecasting, and a strong governance mindset. Hybrid work at Chicago location; relocation not offered.

Qualifications

Bachelor's degree in computer science or systems analysis (master’s preferred).
6+ years in IT disciplines (development, integration, cloud, data & analytics).
Deep understanding of supply chain planning and enterprise platforms.

Responsibilities

Architectural Translation: convert business requirements into actionable blueprints.
Product Lifecycle Alignment: maintain an architectural runway for future features.
Impact Assessment: ensure changes meet business outcomes.
Portfolio Health: monitor for misalignment and aging tech.
Modernization & Retirement: lead keep vs retire assessments; transition to modern stacks.
Innovation & R&D: analyze market trends and PoCs for applicability.
Cross‑Domain Design: ensure design consistency across cloud, on‑prem, and hybrid environments.
Strategic Road Mapping: evolve current to future-state architecture.
Agile Integration: provide high-level consultancy to agile teams.
Standards Leadership: define principles and reference patterns with EA.
Compliance & Assurance: govern security, privacy, regulatory standards.
Responsible AI Governance: ensure AI solutions meet enterprise standards.
Community of Practice: mentor solution owners and developers.

Skills

Strategic leadership

Cross-functional collaboration

Architecture governance

Education

Bachelor's degree in CS or Systems

Tools

Python

Java

SQL

Databricks Lakehouse

Oracle

PostgreSQL

SQL Server

AI/ML solution patterns

Generative AI architectures

AI service integrations

Cloud-native architectures

APIs

MFT

iPaaS/middleware

Job description

Job Category: Information Technology/Digital

City: Chicago

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. For more information, please visit HAVI.com .

Solution Architect, Data & AI 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 that supply chain systems, shared infrastructure, and technology solutions align with the organization’s long-term "To-Be" vision.

The successful candidate will lead the architectural way, leveraging deep experience in supply chain optimization, integrated planning, and technology. You will ensure that solutions are not only technically sound but also financially viable, scalable, and resilient within the enterprise’s governance framework and the evolving demands of the global market.

This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.

Education: Bachelor’s degree in computer science, System Analysis, or a related field (master’s degree preferred).
Experience: 6+ years in several IT disciplines (e.g., 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.

Responsibilities:

1. 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.
Portfolio Health: 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, in partnership with market technology leads.
Innovation & R&D: Analyze emerging market trends (AI/ML, Edge, etc.) and perform Proof‑of‑Concept (PoC) implementations to determine their practical application to the business model.

3. Solution Design & Delivery

Cross‑Domain Design: Lead the evaluation and design of architecture spanning multiple applications, ensuring consistency across cloud, on‑prem, and hybrid environments. Collaborate with solution owners to ensure design consistency across the technology landscape, at varying levels of details.
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.

4. Governance & Enterprise Guidance

Standards Leadership: 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, aligned with internal policies and external regulatory requirements.
Community of Practice (CoP): Foster a culture of architectural excellence by mentoring solution owners and lead developers.

Qualifications:

Technical Stack & Expertise

The Solution Architect, Data & AI is expected to maintain a broad technical perspective across the following domains, including emerging technologies such as AI. Please note that bold areas necessitate advanced expertise and extensive practical experience:

Education: Bachelor’s degree in computer science, System Analysis, or a related field (master’s degree preferred).
Experience: 6+ years in several IT disciplines (e.g., 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.