Material coordination that supports maintenance work on various construction efforts within the shipyard and shop environments. The Material Coordinator supports all transportation, storage, receipt and issuance of material.
Responsibilities
Perform warehouse duties in the Shop/Shipyard as required to receive and dispatch materials
Maintain material control and segregation
Travel to other shipyards in the continental United States and the Far East
Requirements
High School Diploma or GED
Nice to have: Naval Shipyard environment experience
Apply strategic consulting, applied research, and structured problem‑solving to complex people and organisational challenges, building AI systems and agents that automate People Science workflows and advising leaders on real problems.
Responsibilities
Build an organisational listening and action engine using employee listening, workforce, behavioural, and operational data to identify signals, diagnose root causes, and guide action.
Build user‑centric AI systems and agents that automate People Science workflows, from data discovery and analysis to hypothesis testing, programme evaluation, insight generation, and recommendations.
Conduct applied organisational research using qualitative and quantitative methods, including surveys, interviews, experiments, and mixed‑method approaches.
Design hypotheses and evaluate People programmes or interventions using appropriate research, experimental, or quasi‑experimental methods.
Act as a strategic advisor to People and business leaders by framing ambiguous problems, conducting analysis, evaluating options, and translating evidence into practical decisions.
Lead the end-to-end innovation forecasting process across Canada and the U.S., developing fact-based forecast recommendations that influence investment decisions, innovation business cases, and executive planning discussions.
Locations (2)
Milwaukee, Wisconsin, United States
Canada
Compensation
Job Posting Total Rewards Offerings: $84,000.00 - $110,200.00 (posting salary range) + 15% target short term incentive + $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP + paid time off (including holidays, vacation days and sick days).
Responsibilities
Lead the end-to-end innovation forecasting process across Canada and the U.S.
Develop and maintain a rolling 24-month demand forecast across Beyond Beer, Emerging, Innovation and Partnership brands.
Serve as the primary forecasting advisor within the IBP process, leading cross-functional demand reviews and providing actionable recommendations to Commercial, Finance, Supply Chain and Brand Leadership teams.
Influence strategic business decisions by building trusted relationships with senior stakeholders and translating complex data into clear business recommendations and risk assessments.
Serve as a subject matter expert for enterprise technologies, providing advanced technical leadership in architecture, design, integration, and implementation of scalable enterprise observability solutions.
Compensation
The expected base salary for this position ranges from $67.17 - 111.94/hour.
Responsibilities
Lead the architecture, design, integration, and implementation of scalable enterprise observability solutions using Dynatrace and IBM SevOne
Implement AIOps capabilities, including Dynatrace Davis AI, causal analysis, anomaly detection, intelligent automation, and AI-driven root cause analysis
Manage observability data, including logs, metrics, events, and alerts, ensuring effective telemetry governance, alert optimization, and cost control
Partner with business stakeholders, technology teams, and vendors to gather requirements and deliver complex technical solutions
Establish technology standards, architecture guidelines, and industry best practices
Requirements
Bachelor's degree in Computer Science, Computer Engineering, or a related field
Nice to have: Enterprise server/client architectures
Design, develop, and deploy machine learning and artificial intelligence solutions that drive business decision-making and operational excellence.
Responsibilities
Develop, validate, deploy, and monitor machine learning models that support forecasting, optimization, customer intelligence, operational decision-making, and business growth.
Design and implement advanced predictive models using supervised and unsupervised learning techniques.
Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
Establish model governance processes, including documentation, explainability, fairness assessments, and monitoring.
Translate business challenges into analytical frameworks and data-driven solutions.
Identify demand risks and growth opportunities through advanced analyses related to portfolio optimization, innovation performance, industry trends, forecast accuracy, SKU rationalization and annual operating plan development.
Requirements
Bachelor’s degree in Business or equivalent experience
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