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Manager Visualization Jobs (NOW HIRING)

You will join the Data Visualization Team, sitting within the Marketing Department's Creative Group ... Partner with the Media Programs Manager and the rest of the DataViz team to prepare and share ...

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Manager Visualization information

How does a Manager Visualization typically collaborate with other departments within an organization?

A Manager Visualization frequently works alongside data scientists, business analysts, and IT teams to ensure that complex data is translated into actionable insights through effective visual representations. They often facilitate meetings with stakeholders to understand business needs, tailor dashboards, and guide teams in using visualization tools. Collaboration is key, as they bridge the gap between raw data and strategic decision-making, ensuring that visual outputs are both technically sound and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Manager Visualization, and why are they important?

To thrive as a Manager Visualization, you need expertise in data analysis, visualization techniques, and a relevant degree such as in data science, computer science, or statistics. Familiarity with visualization tools like Tableau, Power BI, and programming languages such as Python or R, along with experience managing teams, is essential. Strong leadership, communication, and project management skills help drive team performance and effectively translate data insights to stakeholders. These competencies are vital for turning complex data into actionable visual narratives that inform business decisions and strategy.

What is the difference between Manager Visualization vs Data Analyst?

AspectManager VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The main difference between a Manager Visualization and a Data Analyst lies in their responsibilities and leadership roles. Managers Visualization oversee visualization teams, manage projects, and coordinate with stakeholders, while Data Analysts focus on analyzing data, creating visual reports, and supporting business decisions. Both roles require strong technical skills, but the Manager Visualization position emphasizes leadership and project management.

What are Manager Visualization roles?

Manager Visualization roles involve leading teams responsible for creating, managing, and optimizing data visualizations to support business decision-making. These managers oversee the design and implementation of dashboards, reports, and visual analytics, ensuring that complex data is presented clearly and effectively. They collaborate with stakeholders to understand business needs, guide data visualization best practices, and often mentor junior analysts or designers. Strong communication, leadership, and technical skills in data visualization tools are essential for success in this role.
What cities are hiring for Manager Visualization jobs? Cities with the most Manager Visualization job openings:
What are the most commonly searched types of Visualization jobs? The most popular types of Visualization jobs are:
What states have the most Manager Visualization jobs? States with the most job openings for Manager Visualization jobs include:
Infographic showing various Manager Visualization job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.
Data Visualization Engineer - Advanced Engineering

Data Visualization Engineer - Advanced Engineering

Dice

Newark, OH • On-site

Full-time

Posted 26 days ago


Job description

Job Summary:
Kaiser Aluminum is known around the world for its superior quality, and they are seeking a Manufacturing Data Visualization Engineer to join their Advanced Engineering team. The role focuses on improving operational performance by creating clear visualizations of manufacturing data for various stakeholders, enabling data-driven decision-making and enhancing overall efficiency.
Responsibilities:
• Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format
• Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
• Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts
• Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
• Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics
• Collaborate on visualization design such that existing best practices are reused
• Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
• Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills
• Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
• Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
• Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
• Maintain alignment with cybersecurity, access control, and data governance requirements
• Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
• Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Qualifications:
Required:
• Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
• Five years' visualization development experience, preferably in manufacturing or industrial settings
• Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
• Competent with T-SQL and database theory and structures
• Basic knowledge in networking and client-server transactions
• Broad contemporary understanding of information technologies and trends
• Demonstrated experience with MBSE and documentation, sysML or like
• Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
• Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
• Ability to work incrementally and comfortable with collaboration and peer review
• Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
• Proven ability to manage concurrent development tasks
• Excellent problem solving, investigative, experimental, and statistical analysis skills
• Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
• Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Preferred:
• Manufacturing experience is a plus.
• Exposure to Digital Twins a plus.
Company:
Dice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. Founded in 1990, the company is headquartered in Santa Clara, USA, with a team of 201-500 employees. The company is currently Growth Stage.