HAVI ยท 2 weeks ago
Manager, Data Solutions
Chicago, IL
Full-time
Hybrid
Mid, Senior Level
$115K/yr - $125K/yr
4+ years expHAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. The Manager of Data Solutions will lead a team to enhance data management solutions, ensuring high-quality analytics products while collaborating with various teams to align with strategic goals.
Construction
Responsibilities
Responsible for working with the Director of Global Analytics and Insights to define, design, develop, evolve, and implement data processes and solutions globally
Responsible for establishing and maintaining data standards and governance
Responsible for ensuring continuous data availability and assuring data quality
Responsible for building and maintaining a monitoring framework that captures operational KPI for data pipeline health, data quality, and performance
Develop a scalable operations model to include documented release procedures, communication, and roadmap
Collaborate with Technology to understand current architecture and infrastructure and to drive improvements to better serve the business needs
Collaborate with source data application owners to ensure data integrity
Manage service levels, ensuring data solutions are fully supported to their SLAs
Deliver Traceability service to customers and other key stakeholders
Drive thought leadership in areas such as Gen AI/Agentic AI/ML and other recent advancements in data and technology
Participating fully and collaborating with the broader analytics teams in developing customer relevant models and solutions
Drive customer satisfaction and value creation
Train, develop, and mentor other analytics team members
Strengthen cross functional relationships
Ensure alignment with revenue and profit goals for Global Planning and Analytics
Qualification
Required
Bachelor's degree in computer science, engineering or closely related field
4+ years of managing, developing, and deploying scalable data management and governance frameworks supporting analytics and operational systems
Proven experience defining and enforcing enterprise data governance policies, including metadata management, data lineage, master data management (MDM), data cataloging, and access control aligned with corporate and regulatory standards
Strong working knowledge of data stewardship, data quality monitoring, and data lifecycle management processes across multiple business domains
Demonstrated expertise in building and optimizing data pipelines and integration workflows leveraging modern cloud technologies (Azure Data Factory, Databricks, Synapse, Spark) within a metadata-driven architecture
Experience with electronic data interchange (EDI)
Experience collaborating with Data Engineering teams to translate business rules into robust ETL/ELT logic, ensuring consistent and trusted data ingestion, transformation, and distribution
Skilled at data modelling (conceptual, logical, and physical) and schema design for analytical and operational workloads across data lakes and warehouses
Hands-on experience automating data operations, including pipeline orchestration, validation, alerting, and SLA tracking through DevOps tools, CI/CD workflows, and Infrastructure-as-Code practices
Proficiency in implementing observability frameworks to monitor data pipeline health, latency, and data quality metrics through tools such as Great Expectations, Monte Carlo, or native Azure monitoring
Experience managing data access, security, and compliance controls aligned with internal governance and external standards (e.g., GDPR, CCPA, SOX)
Proven ability to operationalize data governance by embedding quality, lineage, and stewardship principles into day-to-day engineering and analytics workflows
Deep understanding of Agile DataOps practices and continuous improvement cycles, integrating feedback from data consumers to enhance the availability, reliability, and reusability of data assets
Experience with Python, Databricks, AI and GenAI frameworks and tools, Prompt engineering, Azure or equivalent cloud technologies, data model architectures
Adept at collaborating with cross-functional teams (Technology, Analytics, Data Science, and Business) to align governance policies, data definitions, and KPIs for consistent enterprise reporting
Strong communication skills with the ability to articulate technical and governance concepts in business language to both internal and client stakeholders
Experience in driving revenue and profit growth through data analytics
Preferred
Advanced degree preferred
Benefits
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
Company
HAVI
HAVI, part of Morgan Street Holdings, a Chicago-based company and private investment group, is a global leader in integrated supply chain management for the food industry, providing end-to-end solutions for retail, quick-service restaurants (QSR), and food service (FSR) in over 30 markets.
10001+ employees
H1B Sponsorship
HAVI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2023 (4)
2022 (4)
2020 (8)
Funding
Current Stage
Late StageLeadership Team
Frank Ravndal
Chief Executive Officer
Carol Cienkus
Chief Financial officer
Recent News
2022-11-24
Company data provided by crunchbase