Industrial Manufacturing

Human Resources

• Owning the strategy, design, and continuous improvement of IEM's new hire onboarding experience during an employee’s first 90 days
• Building an extensive onboarding program for corporate and business employees to include product overviews, performance expectations, our IEM culture, customer landscape, competitors, and additional resources.
• Facilitating live onboarding sessions and other milestone touchpoints throughout the new hire journey
• Developing and maintain hiring manager guides, onboarding plans, milestone frameworks, and supporting resources that enable consistent, high-quality onboarding delivery across the organization
• Partnering with HR Shared Services, Talent Acquisition, IT, and functional leaders to align processes, close handoff gaps, and reduce friction across the new hire journey
• Leveraging onboarding technology platforms and integrations, ensuring systems support a seamless experience
• Designing and execute the new hire survey strategy and translate results into actionable program improvements
• Supporting the design and ongoing management of career development frameworks that help employees understand growth pathways within IEM and take meaningful next steps in their careers
• Translating insights from Performance Reviews and Talent Reviews into actionable career development resources, tools, and conversations by ensuring that what is surfaced in the review process connects to real development opportunities
• Partnering internally to embed career development conversations into key talent moments, including post-performance review touchpoints and follow-through from Talent Review outcomes
• Developing and maintain manager toolkits, conversation guides, and employee-facing resources that support ongoing development planning beyond formal review cycles
• Identifying gaps in current career pathing resources and work cross-functionally to build scalable solutions that serve employees at all levels
• Applying an employee experience lens across the full employee lifecycle by identifying gaps, friction points, and opportunities to strengthen key moments beyond onboarding.
• Serving as a bridge between employees and leadership by synthesizing feedback signals from surveys, listening campaigns, and direct interactions into clear, actionable insights that leadership can act on with confidence
• Supporting internal communications connected to talent programs, including crafting messaging for program launches, survey campaigns, and initiative updates that reach employees across all channels and work environments
• Contributing to the development of performance management enablement resources and manager toolkits, helping managers show up consistently and confidently in key talent moments, including goal setting, annual reviews, and continually feedback
• Assisting with talent review preparation and logistics across functions, ensuring smooth execution of a complex, cross-functional cadence
• Building trusted relationships across the organization to ensure programs support a holistic employee experience
• Serving as a consultative partner to hiring managers, equipping them with the clarity, tools, and confidence to deliver excellent onboarding experiences
• Collaborating with internal teams to ensure programs are connected, complementary, and avoid duplication
• Defining and track key metrics across onboarding and Talent Management programs, including new hire retention, engagement scores, survey participation, and readiness indicators
• Synthesizing data from multiple listening channels and talent programs into clear, compelling narratives, translating metrics into actionable recommendations that resonate with all audiences, from frontline leaders to executives
• Building the dashboards and recurring reporting that tell the truth about engagement, retention, mobility, succession depth, and program ROI by site, shift, function, and tenure.
• Regularly assessing program effectiveness and evolving content, tools, and processes in response to feedback and business change.

Senior Specialist, Employee Engagement, Talent Management

Analyst

• Develop and maintain accurate revenue forecasts on a monthly, quarterly, and annual basis
• Collaborate with cross-functional teams (Sales, Operations, Supply Chain, and Production)
• Analyze historical revenue trends and the impact of production variances on future revenue forecasts
• Lead the annual and quarterly revenue planning process
• Assist in the development of revenue targets based on product lines
• Work closely with manufacturing and operations teams to adjust revenue expectations
• Conduct in-depth analysis of revenue performance and manufacturing efficiency
• Create and present regular revenue reports to senior management
• Analyze and report on product margins
• Collaborate with the Operations teams to identify cost-saving opportunities

Revenue Analyst

Product Manager

• The Manager, LV Technical Product Management position will have ownership of IEM’s low voltage product lines including LV panelboards, LV switchboards, LV switchgear, LV ATS, etc.
• The position is responsible for building, developing, and managing a team of Technical Product Managers/Product Owners focused on full Product Lifecycle Management of Low Voltage Power Distribution equipment.
• Accountable to build a department that has primary point of contact (POCs) and subject matter experts (SMEs) for all Low Voltage Power Distribution products.
• Actively grow the team by hiring and onboarding new staff while also upskilling, training, and providing guidance for existing personnel.
• Collaborate with other IEM departments including Sales, Marketing, Product Management, Operations, Engineering, etc. to ensure Technical Product Management activities are aligned with the overall IEM strategy.
• Provide direction for team alignment on product strategy for the determination of low voltage product offers.
• Align Technical Product Management resources’ capacity with prioritized assignments.
• Ensure collaboration of Technical Product Management team with vendors for product maintenance activities including product obsolescence, redesign, etc.
• Advance Product Lifecycle Management processes and tools to be supported by the Product Management teams.
• Ensure Industrialization of new product introductions including engagement with the NPI team and any processes or tools supporting Sales/Estimating, ERP Systems, and Operational Readiness.
• Routinely check in with staff to ensure they take responsibility for their work to meet IEM standards within the timelines requested and proactively communicate with relevant stakeholders regarding any delays or obstacles.
• Track, analyze, and report data & statistics regarding the efficacy of staff skills and department systems to drive continuous improvement.

Manager, Low Voltage Technical Product Management

Business Intelligence Analyst

• Design, build, and maintain Tableau dashboards that support decision-making across multiple business units
• Work with stakeholders to scope request, gather requirements, clarify needs, and translate business questions into data solutions
• Support a centralized intake and prioritization process, managing multiple requests of varying complexity
• Deliver dashboards that are accurate, intuitive, and aligned to business needs
• Perform data validation and QA prior to publishing to ensure accuracy and consistency
• Iterate quickly on stakeholder feedback and support ongoing enhancements
• Partner with Data Engineering to define data requirements and resolve data issues
• Contribute to standardization of metrics, definitions, and dashboard best practices
• Provide support and guidance to users to improve adoption and effective use of BI tools

Business Intelligence Developer

Analytics Engineer

• The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data into the clean, well-modeled, business-ready datasets that power Tableau dashboards, executive decisions, and self-service analytics across Finance, Production, Supply Chain, and Engineering.
• Working primarily in dbt and Snowflake, you own the transformation layer between ingestion and the BI surface: staging models, intermediate logic, dimensional models, tests, and documentation.
• This is a hands-on individual contributor role with real ownership of production data models and a clear path into senior and principal analytics engineering as the team grows.
• Partner with cross-functional stakeholders and the Business Intelligence team (Finance, Production, Supply Chain, Engineering) to translate operational needs into scalable data models and reliable metrics.
• Author and maintain dbt tests, monitor freshness, investigate data quality issues end-to-end, and own resolution through to root cause.
• Design, build, test, and document dbt models that turn raw Snowflake data into clean, reliable, analytics-ready datasets across Finance, Production, Supply Chain, and Engineering.
• Build conformed dimensions, fact tables, and reporting models that balance performance, maintainability, and business user accessibility for Tableau dashboards and ad-hoc analysis.

Engineer

• Lead the design, analysis, and validation of new medium voltage power distribution products, including metal clad and metal enclosed switchgear, and related components.
• Responsible for managing and mentoring engineers and designers, providing career guidance, constructive feedback, tracking project timelines, and ensuring quality and efficiency in deliverables.
• Working closely with the Engineering Manager to identify issues quickly and ensure they are addressed in an appropriate and timely manner.
• Driving group on time performance while minimizing design errors for NPI project deliverables.
• Leading the development of mechanical designs to meet NPI project-specific requirements.
• Conducting peer reviews and providing constructive feedback to team engineers to improve design quality and ensure alignment with project goals.
• Mentoring and supervising group engineers and designers to foster team growth and ensure efficient workflow in a collaborative environment.

Lead R&D Engineer – Medium Voltage

Director

• Support development and execution of a multi-site facilities strategy aligned with company growth objectives.
• Drive standardization of facilities management processes, systems, and performance metrics.
• Contribute to capacity planning efforts to support production demands and site expansion.
• Provide input on site evaluations, expansions, and footprint optimization initiatives.
• Oversee day-to-day facilities maintenance and infrastructure operations across multiple manufacturing sites.
• Implement preventative and predictive maintenance programs to improve uptime and reliability.
• Establish and monitor facility performance KPIs and reporting across locations.
• Support energy management, sustainability efforts, and cost optimization initiatives.
• Manage execution of capital projects including facility upgrades, renovations, and expansions.
• Ensure projects are completed on time, within budget, and aligned with operational requirements.
• Coordinate with contractors, architects, engineers, and internal stakeholders.
• Track and report on capital expenditures and project progress.
• Ensure facilities comply with OSHA, environmental, and regulatory requirements.
• Partner with EHS and Operations teams to maintain safe working environments.
• Support business continuity and disaster recovery planning.
• Implement and maintain infrastructure risk mitigation practices.
• Manage site-level and regional facilities budgets (operating and capital).
• Identify cost-saving opportunities through vendor management, energy efficiency, and process improvements.
• Support budget planning and forecasting activities.
• Lead and develop facilities managers and site-level teams.
• Drive accountability, performance management, and continuous improvement.
• Promote a culture of safety, reliability, and operational excellence.

Director of Facilities – Construction

Artificial Intelligence

• AI Solution Deployment: Build agents, plug-ins, applications, and integrations as use cases emerge from the Data Team's work and the partners it supports
• Agent Development: Design and develop custom agents and agent harnesses, including MCP servers, orchestration logic, prompt engineering, and eval scaffolding. Agents are the centerpiece of the function.
• Vendor AI Extension: Build on top of Salesforce Einstein, Tableau Pulse-AI, ETQ-AI, Fellow.ai, and the data-platform AI capabilities IEM brings on next
• Solution Discovery: Run intake conversations with internal partners to surface high-value AI use cases, pressure-test feasibility against existing tooling, and prioritize the implementation roadmap
• AI Governance and Security: Build with data leakage prevention, prompt injection mitigation, and model risk as first-class concerns, in alignment with IEM's broader AI policy framework
• Adoption and Enablement: Train users, write documentation, and run enablement programs so the AI solutions you deliver get used by the people they were built for
• Cross-Functional Delivery: Coordinate with the internal teams the Data Team serves through build and rollout, keeping stakeholders aligned as solutions move from idea to deployment
• Documentation: Maintain design notes, integration docs, and runbooks for the AI solutions you deliver so the team can support and extend your work
• AI-Assisted Development: Use modern AI coding tools such as Claude Code and Cursor as part of your daily practice, setting the standard for the rest of the Data Team
• Team Leadership: If filling the people-leader track, hire, coach, and grow a small team of AI engineers as the function scales
• Engineering Standards: Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to evolving the team's AI engineering conventions
• Continuous Learning: Stay current with the rapidly evolving AI tooling landscape, bringing ideas back to the team and helping raise the bar over time

AI Implementation Lead

Scrum Master

• Facilitating all Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Coaching team members in self-management and cross-functionality to build high-performing agile teams.
• Helping the team identify and remove obstacles that may impede progress.
• Working closely with the Product Owner to ensure a well-maintained and prioritized backlog.
• Supporting the Product Owner in communicating the product vision, goals, and backlog priorities to the team.
• Ensuring Scrum principles are understood and practiced across the organization.
• Monitoring team performance metrics and promote continuous improvement.
• Fostering an environment of transparency, collaboration, and accountability.
• Partnering with other Scrum Masters and Agile Coaches to promote consistent agile practices across teams.
• Protecting the team from outside interruptions and distractions.

Senior Scrum Master

Program Manager

• Lead cross-functional Project Teams, successfully driving projects to completion.
• Collaborate and influence resources managers to implement, monitor, and maintain the resources capacity planning for their projects.
• Schedule, facilitate, and document kickoff meetings, design reviews, and Production Readiness Reviews.
• Track progress of design activities across electrical, mechanical, wiring, manufacturing and process engineering disciplines
• Coordinate follow-up communications after Engineering release, ensuring Quality, Operations, and Sales have required documentation
• Act as the central point of communication for Sales, Engineering, Operations, and Senior Management on BOD Project status and deliverables.
• Coordinate with Operations to ensure production readiness: run the meeting, create punch lists, and follow up to resolution and provide formal notification to relevant stakeholders
• Coordinate change management for customer-driven change notices and major design revisions.
• Notify Senior Management and Engineering Leadership of gate review readiness and assist in lessons learned sessions for continuous process improvement
• Report project performance to management stakeholders
• Influence and support Project Management team members on best practices

BOD Program Manager

Project Manager

• Lead end-to-end project management for Salesforce, AI, and automation initiatives from initiation through go-live and hypercare support.
• Define and maintain project scope, schedules, resource plans, risk registers, and status reports for stakeholders and leadership.
• Facilitate Agile ceremonies including sprint planning, daily standups, sprint reviews, and retrospectives across one or more concurrent delivery teams.
• Manage and prioritize project backlogs in JIRA, ensuring user stories are well-defined, estimated, and aligned to business value.
• Serve as the primary liaison between business stakeholders, technical teams, and third-party vendors throughout the project lifecycle.
• Coordinate system integrations, data migrations, and user acceptance testing (UAT) activities across project workstreams.
• Prepare and deliver project status updates, steering committee presentations, and executive-level dashboards.
• Proactively identify, escalate, and resolve risks, issues, and dependencies to maintain project momentum.
• Manage Salesforce CRM implementation and enhancement projects including Sales Cloud, Service Cloud, and platform integrations.
• Support AI and intelligent automation (RPA, workflow automation) projects from business case through production deployment.
• Partner with business analysts and solution architects to translate business requirements into actionable project deliverables.
• Maintain project documentation including charters, RACI matrices, decision logs, meeting minutes, and lessons learned.
• Contribute to the development and adoption of project management standards, templates, and best practices within the department.

Project Manager, AI & Automation Delivery

Data Engineer

• Build and maintain ELT pipelines using Fivetran and custom integrations that ingest data from source systems including Procore, Salesforce, ERP platforms, and internal databases into Snowflake
• Develop, test, and document dbt models that transform raw data into clean, reliable datasets for analytics and reporting across Finance, Production, Supply Chain, and Engineering
• Build dimensional models and staging layers following team conventions, ensuring data is structured for optimal Tableau dashboard performance and ad-hoc analysis
• Write and maintain dbt tests, monitor data freshness, and investigate data quality issues when they arise, owning resolution through to root cause
• Work with APIs and data connectors to integrate new data sources, troubleshoot ingestion issues, and ensure reliable data flow into the warehouse
• Maintain clear documentation for data models, pipeline configurations, and business logic so the team can understand and extend your work
• Partner with business stakeholders to understand data needs, clarify requirements, and deliver datasets that answer real operational questions
• Monitor query performance and pipeline efficiency, identifying opportunities to optimize warehouse costs and model run times
• Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to improving the team’s development processes
• Stay current with modern data stack tools and practices, bringing ideas for improvement back to the team
• Use AI coding assistants and agent-based tools to accelerate pipeline development, code generation, testing, and documentation. Manage AI agents as part of your daily workflow to increase throughput and quality

Learning and Development

• Own the end-to-end design, development, and implementation of a comprehensive leadership development strategy.
• Build and manage a multi-tiered development framework for leaders at all levels.
• Design scalable, practical development experiences.
• Continuously assess and evolve program content based on trends and feedback.
• Design targeted development programs for high-potential leaders.
• Establish the foundational infrastructure for enterprise leadership development.
• Make strategic build vs. buy decisions for program content.
• Identify, evaluate, and manage relationships with external vendors.
• Serve as the primary point of contact for all external development partners.
• Ensure all external solutions reflect IEM's culture and values.
• Design and facilitate leadership development programs across all levels.
• Apply coaching skills within group development contexts.
• Coach and support internal facilitators and subject matter experts.
• Design and implement a robust evaluation framework to measure program effectiveness.
• Track, analyze, and report on key learning metrics.

Senior Manager, Leadership Development

• Own end-to-end development of Tableau dashboards tracking manufacturing KPIs — throughput, cycle time, OTD, scrap rates, WIP, capacity, and backlog.
• Work with Data Engineering to build and maintain Snowflake/dbt data models that unify ERP, MES, and shop floor systems into a single source of truth for operations leadership.
• Sit alongside plant managers and production supervisors to understand their toughest data problems and build solutions they'll use.
• Design and lead Tableau training programs for manufacturing and ops staff, turning data skeptics into daily dashboard users.
• Support lean and continuous improvement initiatives with data, identifying waste, modeling capacity scenarios, and tracking kaizen results.

Senior Specialist, Employee Engagement, Talent Management

Revenue Analyst

Manager, Low Voltage Technical Product Management

Business Intelligence Developer

Analytics Engineer

Lead R&D Engineer – Medium Voltage

Lead R&D Engineer – Medium Voltage

Director of Facilities – Construction

AI Implementation Lead

Senior Scrum Master

BOD Program Manager

Project Manager, AI & Automation Delivery

Data Engineer

Senior Manager, Leadership Development

Business Intelligence Developer – Manufacturing Operations