Solution Architect, Data & AI

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 .

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.

Responsibilties:

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.

2. Technology Portfolio Orchestration

• 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.

*Starting Salary is $125,000-$155,000 with a 10% targeted bonus

TOTAL REWARDS

Our total rewards philosophy integrates programs for compensation, benefits, recognition, learning and development, corporate culture, corporate citizenship and work-life balance. While individual program components may differ by country, some things remain constant:

• Our commitment to rewarding results
• Opportunities to work with talented and driven individuals at every level of our company who respect each other, treat each other fairly and hold one another accountable for our customers’—and our company’s—success

There's more ...

Inclusive employee resource groups

Generous medical, dental, vision and other great benefits

Paid parental and medical leave programs

401(k) with a company match component and profit sharing

15 days of paid time off plus company holidays

Hybrid work model with flexibility

Tuition reimbursement and student loan repayment assistance

EQUAL OPPORTUNITY EMPLOYER

We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

RECRUITING AGENCIES

HAVI does not accept agency resumes submitted by third-party vendors unless a valid agreement has been signed and the HAVI Talent Acquisition Team has granted authorization for submissions for a specified position. Please do not submit or forward resumes to our site, HAVI employees, or any other company location. HAVI is not responsible for any fees related to unsolicited resumes.

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