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Director Of Data Intelligence Services Jobs (NOW HIRING)

ReadyCT

Director of Data Strategy

Hartford, CT · On-site

Director of Data Strategy Location: 350 Church Street, 10th Floor, Hartford, CT 06103 Salary Range: $110k+ (commensurate with experience) ReadyCT is seeking a dynamic, multi-talented director of ...

Giga Energy

Director of Data Center Operations

About Giga Giga is building gigawatts of AI data centers to hasten a future of intelligence and ... Own vendor and service provider relationships tied to ongoing operations (maintenance contractors ...

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How much do director of data intelligence services jobs pay per year?

As of Sep 12, 2026, the average yearly pay for director of data intelligence services in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Director Of Data Intelligence Services job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 78% Full Time, 10% Part Time, 3% Temporary, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Director of Data Science

Arlington, VA • On-site

Redhorse Corporation
Manufacturing • 201 - 500 employees
Learn more about Redhorse Corporationexternal

Full-time

Re-posted yesterday

Job description

Job Summary:
Redhorse Corporation is a company that specializes in developing and implementing creative strategies and solutions for various customers. They are seeking a Director for their Data Science team to lead and manage a multi-disciplinary team, collaborate with stakeholders, and develop AI-driven solutions for data-driven decision-making.
Responsibilities:
• Provide Data Science as a service to internal (corporate) and external customers.
• Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
• Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
• Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
• Perform or assist in various project management tasks relating to the Data Science portfolio.
Qualifications:
Required:
• Master’s Degree in Data Science or related field
• 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
• 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
• 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
• 2 years of experience leading complex data science projects from conception to execution
• 2 years of experience building, mentoring and managing teams of data scientists
• Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
• Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
• Experience with software configuration management, methods, and tools including GitHub or Jira
• Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred:
• Ability to lead development efforts utilizing DevOps and Agile Methodologies
• Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
• Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
• Familiarity with metadata extraction technologies such as GROBID and Apache Tika
• Familiarity with data structures, algorithms, and modular application design
• Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
• Ability to learn technical concepts quickly and communicate with multiple functional groups
Company:
We want to improve the way government interacts with and uses data and technology. Founded in 2007, the company is headquartered in San Diego, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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