IT Manager of Data & Analytics, DevOps and Emerging Technologies

Amalgamated Sugar Company is seeking an experienced, technology forward and hands-on Manager of Data & Analytics, DevOps and Emerging Technologies to join our Boise corporate IT team.

This position will be responsible for spearheading the transformation of our data & analytics initiatives, paving the path for adopting emerging technologies like AI, ML, RPA, data lake, and autonomous capabilities, and evolving the custom application portfolio through DevOps practices.

The successful candidate will direct, oversee, and ensure the implementation of Master Data best practices and data governance, set AI guidelines and policies, manage ETL, SQL, and other databases, select and implement a data lake, and build out our analytics capabilities across descriptive, diagnostic, predictive, and prescriptive levels.

The candidate will design, develop, enhance, maintain, and oversee legacy and cutting-edge systems, ensuring seamless integration and optimal performance. The ideal candidate is grounded in data, analytics, and database management, and brings extensive expertise in piloting, structure, and operationalizing emerging technologies. This role will be partly hands-on while also focusing on building strong business partnerships and managing a small group of data engineers, analytic/software engineers, business analysts, BI developers, and web/mobile developers.

This position will be part of the Amalgamated Sugar IT leadership team and reports to the Chief Technology Officer. Amalgamated Sugar Company is built on innovation and is a proud leader in the sugar industry; that can only happen with the best people. Qualified candidates need to be dynamic and able to work successfully in a fluid environment.

Responsibilities

Data Governance & Stewardship

• Operationalize data governance by defining stewardship roles, escalation paths, and data ownership across business functions.
• Lead master data domain alignment (business partner, product, location, UoM, asset, material/item).
• Define and monitor data quality KPIs and remediation processes.
• Ensure compliance with internal policies and external regulatory requirements related to data usage and retention.
  
  

DevOps & Application Product Management

• Establish application portfolio governance, including rationalization, modernization, and retirement strategies.
• Drive DevSecOps practices, embedding security, testing, and observability into CI/CD pipelines.
• Ensure operational resilience, incident response readiness, and disaster recovery for critical digital products.
  
  

Integration, Projects & Architecture Alignment

• Define and enforce integration patterns (API, event-driven, batch, OT ingestion).
• Collaborate with Enterprise Architecture to reduce point-to-point integrations and technical debt.
• Ensure consistent data interfaces between ERP, manufacturing, analytics, and external systems.
• Serve as a key contributor to IT/OT convergence strategy.
• Work closely with the PMO to assign engineers to Business Projects.
  
  

Emerging Technology & AI Governance

• Define AI, automation, and LLM governance frameworks, policies and guidelines, including ethical use, data controls, model lifecycle, and risk management.
• Establish clear intake, evaluation, and exit criteria for emerging technology initiatives.
• Transition successful prototypes/pilots into operationalized, supported platforms.
• Monitor industry trends and vendor ecosystems relevant to agriculture, food processing, and manufacturing.
  
  

Business Partnership & Value Realization

• Act as a strategic advisor to business leaders on how data and automation drive measurable value.
• Translate business problems into data, analytics, or automation solutions with clear ROI.
• Define and track value realization metrics for data, analytics, and automation initiatives.
• Work with the PMO to apply change management practices and adoption strategies to ensure solutions are actually used.
  
  

People, Vendor & Financial Management

• Build, mentor, and retain a high-performing, cross-functional team across data, analytics, DevOps, and engineering.
• Establish clear career paths and skills development plans.
• Manage vendor relationships, contracts, and performance.
• Develop and manage budgets for data platforms, tools, cloud services, and external partners.
  
  

Leadership & Governance

• Serve as a core member of the IT leadership team, contributing to enterprise IT strategy and roadmap planning.
• Provide executive-level reporting on progress, risks, and outcomes.
• Champion standards, reuse, and disciplined execution across IT initiatives.
  
  

Job Type

Full-time

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Tuition reimbursement
• Vision insurance
  
  

Schedule

• 8-hour shift
• Monday to Friday
  
  

Work Location

In person

Ability to Commute

Boise, ID 83709 (Required)

Ability to Relocate

Boise, ID 83709: Relocate before starting work (Required)

Willingness to Travel

Up to 25% (Required)

Essential Skills And Attributes

Personal and Social Competence

• Ability to work with and influence others in a professional and positive manner.
• Foster an environment that encourages teamwork, empowerment and collaboration, both internally and externally.
• Lead by example, maintains an even temperament under pressure.
• High integrity and honesty, promote ethical behavior, and trust in all actions.
• Creative and change-oriented, is an assertive, energetic self-starter.
  
  

Qualifications

• Bachelor’s in Computer Science, Information Systems, Data/Analytics, Engineering, or related
• Four to six years across data engineering, analytics, software engineering, or DevOps with strong SQL and ETL
• One to three years leading people or acting as a formal team lead
• Hands‑on data governance and MDM experience, including data quality metrics and remediation
• CI CD, automated testing, and observability in production environments
• Data lake and BI analytics experience plus clear communication with business stakeholders
• Familiarity with AI governance and responsible use basics
  
  

Communications

• Above average written, oral and facilitation skills, ability to articulate detailed information in a clear and concise manner.
• Excellent listener with empathy to peer, customer or employee concerns and aptitude for necessary follow-up actions.
• Convey information in understandable terms at all levels of the organization.
  
  

Behave Ethically

• Understand ethical behavior and business practices and ensure that own behavior and the behavior of others is consistent with these standards and aligns with the values of the organization.
  
  

Amalgamated Sugar is an Equal Opportunity Employer.

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