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Director Visualization Jobs in Baton Rouge, LA (NOW HIRING)

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

This role will support the Director of Data Systems in designing and delivering scalable data ... Support data visualization and reporting initiatives, including Power BI dashboards and semantic ...

FMOLHS

Data and Analytics Consultant 2

Baton Rouge, LA · On-site

... visualization tools (Tableau, Excel, PowerPoint, business intelligence tools) Job Function ... Works with senior leadership to direct work assignments and business-specific projects by applying ...

All JobsVisualization JobsDirector Visualization JobsDirector Visualization Jobs in Baton Rouge, LA

Director Visualization information

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

To thrive as a Director of Visualization, you need deep expertise in data analysis, visual storytelling, and leadership, typically supported by a degree in data science, design, or a related field. Proficiency with visualization tools like Tableau, Power BI, D3.js, and familiarity with data management systems are essential, along with experience in project management. Strong communication, strategic thinking, and team leadership skills set standout candidates apart. These capabilities ensure that complex data is transformed into actionable insights, driving informed business decisions and effective team performance.

What are some common challenges Directors of Visualization face when leading multidisciplinary teams?

Directors of Visualization often manage teams comprising designers, data analysts, and developers, which can lead to challenges in communication and aligning diverse skill sets toward a unified vision. Balancing creative innovation with technical feasibility while meeting project deadlines is another frequent hurdle. Additionally, ensuring that visual outputs effectively communicate complex data to varied audiences requires ongoing collaboration and feedback cycles, making adaptability and strong leadership essential for success.

What is the difference between Director Visualization vs Data Visualization Specialist?

AspectDirector VisualizationData Visualization Specialist
Required CredentialsBachelor's or Master's in Design, Computer Science, or related field; extensive experienceBachelor's or Master's in Data Science, Graphic Design, or related field; specialized skills
Work EnvironmentLeadership roles in creative or technical teams, often in corporate or agency settingsHands-on data analysis and visualization tasks, often in analytics or data teams
Employer & Industry UsageMedia, marketing, tech companies, agenciesFinance, healthcare, tech, and data-driven industries

The main difference is that a Director Visualization oversees visualization projects and teams, focusing on strategy and leadership, while a Data Visualization Specialist executes the technical creation of visualizations. Both roles require strong skills in data and design, but the Director typically has more managerial responsibilities.

What does a Director of Visualization do?

A Director of Visualization leads teams responsible for creating visual representations of data, concepts, or projects to inform decision-making and storytelling. They oversee the design and implementation of visualization strategies, ensuring clarity, accuracy, and alignment with organizational goals. This role often involves collaborating with data analysts, designers, and stakeholders to turn complex information into actionable insights through compelling visuals. Directors of Visualization also set standards, mentor team members, and keep the organization updated on the latest visualization tools and trends.
What job categories do people searching Director Visualization jobs in Baton Rouge, LA look for? The top searched job categories for Director Visualization jobs in Baton Rouge, LA are:
Director Visualization jobs near you

Data Sciences Director

Virginia Farm Bureau Mutual

Baton Rouge, LA • On-site

Full-time

Posted 23 days ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

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