ZipRecruiter

Log In

1

Executive Computational Media Jobs (NOW HIRING)

Luminary Cloud

Account Executive

San Mateo, CA · On-site

... computational engineering and physics AI. This role is ideal for self-starters who thrive in ... Conduct outbound prospecting via cold calls, emails, and social media to generate qualified leads

Montage International

Executive Chef - EC

Laguna Beach, CA · On-site

$150K - $180K/yr

Be a primary representative in media outlets, both print and televised, for food and beverage ... Must possess basic computational ability. * Knowledge of computer accounting programs, math skills ...

University Of Oregon

Communications Associate

Eugene, OR

$22.84 - $34.70/hr

SCDS trains citizen-students to innovate and interact with data-driven computational tools and to ... Familiarity with social media best practices and trends across platforms. Ability to assimilate ...

University of Oregon

Communications Associate

Eugene, OR · On-site

$22.84 - $34.70/hr

SCDS trains citizen-students to innovate and interact with data-driven computational tools and to ... media material with other marketing efforts, and identify areas of strategic opportunity for ...

WeCare Pharmacy

Lead Developer / CTO

San Bernardino, CA · On-site

Manages any digital media assets * Consistently evaluates technical efficiency and makes changes as ... Makes presentations to board of directors and chief executive officer * Identifies competitive ...

WeCare Pharmacy

Lead Developer / CTO

San Bernardino, CA · On-site

Manages any digital media assets * Consistently evaluates technical efficiency and makes changes as ... Makes presentations to board of directors and chief executive officer * Identifies competitive ...

Meta

Director, Marketing Data Science

Bellevue, WA · On-site

$253K - $314K/yr

... executive leadership to optimize marketing effectiveness. Responsibilities Lead Measurement ... Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies ...

next page

Showing results 1-20

All JobsComputational Media JobsExecutive Computational Media Jobs

Executive Computational Media information

See salary details

$26.5K

$93.6K

$184K

How much do executive computational media jobs pay per year?

As of Jun 13, 2026, the average yearly pay for executive computational media in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

How much do computational media majors make?

Computational media majors often pursue roles such as multimedia developers, digital artists, or game designers, with starting salaries typically ranging from $50,000 to $70,000 annually. Experienced professionals in this field can earn over $100,000, especially with skills in programming, graphic design, and familiarity with tools like Adobe Creative Suite or Unity. Salary varies based on location, experience, and specific job responsibilities.

What can I do with a computational media degree?

An Executive Computational Media degree prepares graduates for roles in digital content creation, multimedia production, and interactive media development. Common careers include multimedia designer, digital producer, game developer, and user experience designer, often requiring skills in programming, graphic design, and software tools like Adobe Creative Suite or Unity. The degree also provides a foundation for leadership positions in media companies or tech firms focused on innovative digital experiences.

What are the typical collaborative relationships for someone in an Executive Computational Media role?

As an Executive in Computational Media, you'll frequently collaborate with cross-disciplinary teams, including software engineers, creative directors, UX/UI designers, and marketing strategists. Your role involves aligning technical innovations with creative vision, ensuring that computational tools and digital experiences meet both user needs and business objectives. Effective communication and leadership are essential, as you'll often mediate between technical and non-technical stakeholders to drive projects forward. This collaborative environment fosters creativity and continuous learning, making adaptability a key asset.

What is the difference between Executive Computational Media vs Computational Media Specialist?

AspectExecutive Computational MediaComputational Media Specialist
CredentialsTypically requires advanced degrees (e.g., Master's or PhD) in media, computer science, or related fieldsBachelor's or master's degree in media, digital arts, or computer science
Work EnvironmentLeadership roles in corporate or agency settings, overseeing projects and teamsHands-on content creation, technical implementation, and media production
Industry UsageUsed in executive and strategic contexts within media and tech industriesCommonly used in production, design, and technical roles within media companies

Executive Computational Media focuses on leadership, strategy, and oversight in media projects, often requiring advanced credentials. In contrast, Computational Media Specialists are involved in technical content creation and media production. Both roles are integral to media industries but differ in scope and responsibilities.

What jobs make $10,000 a month without a degree?

Executive Computational Media roles often involve high-paying freelance or contract work in digital content creation, media production, or consulting, which can reach $10,000 monthly with strong skills in media tools, programming, or digital marketing. Success typically depends on experience, portfolio, and network rather than formal education, but building a reputation and specialized skills are essential for high earnings in this field.

What is an Executive in Computational Media?

An Executive in Computational Media is a senior leader responsible for overseeing the development, strategy, and implementation of digital media projects that blend technology, storytelling, and interactive design. They often manage teams that work on video games, interactive experiences, virtual reality, or other digital content. This role requires a strong understanding of both creative media and technical platforms, as well as leadership skills to guide multidisciplinary teams towards innovation and business objectives.

What are the key skills and qualifications needed to thrive as an Executive in Computational Media, and why are they important?

To thrive as an Executive in Computational Media, you need a deep understanding of digital media technologies, strategic leadership, and project management, often supported by an advanced degree in media, computer science, or a related field. Familiarity with content management systems, data analytics platforms, and digital production tools, as well as knowledge of industry-standard software, is highly valuable. Exceptional communication, creative vision, and the ability to inspire cross-functional teams set standout leaders apart. These skills are crucial for driving innovation, ensuring successful project delivery, and maintaining a competitive edge in the rapidly evolving media landscape.

What jobs pay 2000 a day?

Executive Computational Media roles, such as senior data scientists, AI specialists, or media technology directors, can sometimes pay around $2,000 per day, especially for highly experienced professionals working on complex projects or consulting. These positions often require advanced skills in programming, data analysis, and media technologies, and may involve contract or freelance work with high hourly or daily rates.
More about Executive Computational Media jobs
What cities are hiring for Executive Computational Media jobs? Cities with the most Executive Computational Media job openings:
What are the most commonly searched types of Computational Media jobs? The most popular types of Computational Media jobs are:
What states have the most Executive Computational Media jobs? States with the most job openings for Executive Computational Media jobs include:
What job categories do people searching Executive Computational Media jobs look for? The top searched job categories for Executive Computational Media jobs are:
Executive Computational Media jobs near you
Infographic showing various Executive Computational Media job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Temporary. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Senior Computational Social Scientist

Senior Computational Social Scientist

Protagonist

Washington, DC • On-site

Full-time

Posted 9 days ago

Job description

Join Our Talented Team at Protagonist
We fuse rigorous, methodologically sound analysis with our cutting-edge technology platform, Narrative Analytics®. This powerful combination enables us to quantitatively analyze open-source media, deliver strategic recommendations, and craft executive-level communication strategies for clients with missions that matter.
Why Us?
Our team is a vibrant mix of communication specialists, data scientists, and subject matter experts with extensive experience across U.S. Government agencies, non-profit organizations, and Fortune 500 companies. By joining Protagonist, you'll immerse yourself in a collaborative environment where innovation thrives, and your contributions truly matter.
What We Do
  • Innovative Solutions: We co-develop cutting-edge solutions with our clients to address tough communication problems and capitalize on opportunities to make a tangible impact.
  • Data-Driven Insights: Our tools and methodologies provide actionable insights that help clients meet their communication objectives and stay ahead of global challenges.
  • Applied Expertise: We integrate our solutions within client organizations, leveraging our profound expertise to address critical issues and ensure sustainable success.
Be Part of Something Bigger
At Protagonist, you'll work on compelling projects that make a real difference. We seek talented individuals eager to contribute to our mission and grow alongside us. If you're passionate about communication, data analysis, and making an impact, we invite you to explore a career with Protagonist.
Explore Your Future with Us!
Ready to take the next step in your career? Join us at Protagonist and be part of a team that's making a difference.
Washington, DC | Full-Time | Hybrid
Job Description
You are a data science professional with a passion for applying best-in-class data science methodologies to solve real-world challenges. With extensive experience in designing, building, and deploying sophisticated data solutions, you excel at transforming raw, unstructured data into structured analytical products that inform decision-making. You lead internal data efforts-from rigorous data cleaning to impactful data visualizations-and effectively present data findings to clients. You are an analyst at heart, possessing the curiosity and acumen to know when to ask the right questions of data and what questions will drive meaningful insights. You understand that the most powerful analytical work bridges computational methods with deep understanding of the social, political, and information dynamics that generate the data in the first place.
Responsibilities
  • Applied Data Science & Solution Implementation:
    • Design, develop, and deploy scalable, production-ready data science solutions that align with business and project goals.
    • Leverage AI, machine learning, and advanced statistical techniques to extract insights from complex, large-scale, or unstructured datasets.
    • Apply techniques such as classification models, clustering algorithms, and other AI methods to drive discovery and inform decision-making.
    • Design and implement codebook-driven analytical frameworks that translate qualitative research questions into reproducible computational workflows.
    • Build and iterate on applied models tailored to project and client needs.
    • Translate analytical findings into actionable recommendations, delivering measurable impact for both internal and external stakeholders.
    • Provide direct support to the Engineering team as needed to implement solutions.
  • Applied AI & Automated Workflows:
    • Design and refine prompts, LLM chains, and agentic AI workflows that automate analytical tasks such as content classification, thematic coding, entity extraction, and structured summarization at scale.
    • Build and evaluate automated analytical products and pipelines that integrate large language models into repeatable, production-grade workflows with appropriate quality controls.
    • Experiment with emerging AI techniques-including retrieval-augmented generation (RAG), multi-step reasoning chains, and tool-using agents-to extend the company's analytical capabilities and accelerate delivery.
  • Data Preparation, Cleaning & Visualization:
    • Write and maintain efficient, reproducible data pipelines using Python, R, SQL, or similar tools.
    • Perform complex data cleaning, transformation, and wrangling to ensure high-quality analytical output.
    • Create compelling dashboards and visualizations using Tableau, Superset, or other tools to communicate insights to both clients and internal teams.
  • Analytical Framework Design & Research:
    • Contribute to the design, refinement, and validation of analytical frameworks that structure how the company assesses complex information environments.
    • Bridge social science theory and computational practice, ensuring that analytical products are methodologically sound and defensible.
  • Cross-Team Collaboration, Client Engagement & Business Development:
    • Collaborate with engineering and product teams to build integrated analytical solutions supporting the company's Narrative Analytics approach.
    • Partner closely with engineering to translate data science requirements into scalable, production-ready tools and pipelines.
    • Contribute to data architecture decisions, tool selection, and infrastructure development to ensure alignment between analytics and engineering capabilities.
    • Present data findings to clients with clear communication and actionable recommendations.
    • Contribute to business development efforts requiring data science expertise, including writing technical sections of proposals, white papers, and concept notes.
  • Leadership & Internal Data Initiatives:
    • Lead improvements to internal data science workflows, methodologies, and quality assurance processes.
    • Mentor junior team members and interns, promote technical upskilling, and foster open discussion of best practices and emerging techniques in NLP, ML, and computational social science.
    • Contribute to the development and maintenance of shared analytical assets such as codebooks, scoring frameworks, and model evaluation protocols.
  • Collaboration & Professional Conduct:
    • Demonstrate ownership, professionalism, and timely follow-through in all responsibilities and communications.
    • Thrive in a fast-paced, dynamic environment by adapting to shifting priorities and proactively identifying opportunities to improve processes and analytic contributions.
    • Communicate technical insights clearly and translate complex data science needs into actionable guidance for both technical and cross-functional teams.
    • Foster collaboration across teams with openness to feedback, respect for diverse expertise, and a commitment to continuous learning.
Requirements
  • Eligibility & Security:
    • Must be eligible to work on US Government contracts.
    • Existing security clearance (SECRET or higher) is a plus.
    • Bachelor's or advanced degree (master's or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, Computational Social Science, or a related field.
    • Experience requirements: Bachelor's degree and 5+ years of relevant experience (or advanced degree and 3+ years of experience).
  • Professional Experience:
    • 2+ years of proven experience in data science, with a strong track record of driving significant business impact through applied analytics.
    • Demonstrated experience working with text-as-data, including media, social media, or open-source text corpora.
  • Technical Expertise:
    • Proficiency in Python and/or R for data analysis, modeling, and machine learning.
    • Strong SQL skills for data extraction, transformation, and integrity assurance.
    • Experience with NLP techniques including text classification, topic modeling, sentiment analysis, embedding-based methods, and transformer architectures.
    • Experience with statistical and predictive modeling techniques such as support vector machines, random forests, and classification models.
    • Demonstrated familiarity with the application and use of large language models (LLMs), including prompt engineering, structured output design, and integrating language models into applied analytical workflows.
    • Familiarity with modern data tools and data lake architectures supporting scalable, data-driven solutions.
    • Skilled in building insightful visualizations using tools like Tableau, Superset, Power BI, or Looker.
  • Interpersonal Skills:
    • Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.
    • Effective working both independently and in cross-functional teams, with a collaborative and solution-oriented mindset.
Ideal Candidates
The strongest candidates will bring experience designing or implementing structured content analysis frameworks or structured analytical methodologies for text data, along with familiarity with information environment assessment, strategic communication analysis, or media landscape monitoring. They will have built ML pipelines that include human-in-the-loop validation, analyst review steps, or active learning workflows, and will have exposure to computational social science research methods such as causal inference, network analysis, or computational text analysis beyond keyword search-including techniques like stance detection, narrative framing, and document similarity. Experience designing LLM chains, agentic AI systems, or automated analytical products that move beyond one-off prompting into repeatable, quality-controlled workflows is highly valued. Above all, ideal candidates will have a track record of translating social science research questions into scalable computational approaches.
Additional Information
If you're passionate about technology and making an impact, apply today! Protagonist is dedicated to fostering a welcoming and innovative environment where everyone's voice can make a difference.
Protagonist is an Equal Opportunity Employer.
Salary Range: $82,216-$129,885 based on education and level of relevant experience.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Apply