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HAVI

data opportunity

Solution Architect, Data & AI

The Solution Architect is responsible for the end-to-end design and realization of a comprehensive supply chain solution portfolio. They will lead architectural strategy, ensure technical and financial viability, and provide governance across cloud and hybrid environments.

Chicago, Illinois, United StateshybridFULL_TIME

Posted

About the role

What will you do at HAVI?

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 [http://havi.com/].

The 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.

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.

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 Solutions Architect (SA) 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: 8+ 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.
  • Category
  • Preferred Technologies / Methodologies
  • Development
  • Python, Java, SQL
  • Data &AI Architecture
  • Databricks Lakehouse, Oracle, PostgreSQL, SQL Server, AI/ML solution patterns,
  • generative AI architectures, AI service integrations
  • Infrastructure
  • Cloud-native patterns, Integration, Networking, Security
  • Methodologies
  • Agile, DevOps, CI/CD, ITIL/ITSM
  • *Starting Salary is $125,000-$145,000 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.
  • Are you a good match for this Job?
  • Please submit an online application with your salary expectations and an
  • indication of your earliest starting date.

Which skills does this role require?

Solution architectureSupply chain managementData analyticsMachine learningAPI integrationPythonJavaSQLAgileDevOpsSolution ArchitectDatabricksLakehouseUMLArchiMateGenerative AICI/CDITILITSMCapability MappingEnterprise ArchitectureTechnical Review BoardAI GovernanceModernizationProof-of-ConceptPostgreSQLMachine LearningLLMsProduct Strategy

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