Helping our clients achieve their goals starts with attracting and obtaining top talent. We look for highly innovative and bright individuals; give them the tools they need, then give them the freedom to do what they do best. We empower our employees to make the best of their opportunities in a rewarding and challenging environment.
We have a passion for excellence. Our employees thrive on making a difference and generating results for our clients in a flexible environment that offers support and camaraderie. No matter where you are located, DPRA offers learning opportunities and a flexible work style to help our staff manage responsibilities and add balance to their lives.
Along with a flexible workplace, DPRA offers a Total Rewards program that provides its employees with not only a competitive salary, but also covers a wide variety of benefits and programs! If you are looking for a challenging position in an innovative company, then this is the position for you.
Currently, DPRA is searching for an Intermediate Information Architect at r4’s FISTA AI Center of Excellence (FACE) at FISTA Park in Lawton, Oklahoma. This full-time position will apply data analysis techniques to define and develop complex solutions for AI/ML systems. The information architect works with a team of Analysts, Subject Matter Experts and Data Scientist to determine application and data requirements and recommend system solutions.

Essential Job Duties and Functions:

• Defines challenges and develops system requirements and program specifications from which data specialists prepare detailed flowcharts, programs and tests.
• Puts forth data aggregation strategies to support AI/ML use cases.
• Coordinates with developers, engineers, SMEs, and customers to ensure proper implementation of program and systems specifications.
• Provides technical direction to junior members of the project team.
• Monitors the performance of existing solutions to identify areas for improvement.
• Integrates, transforms and consolidates data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
• Identifies and documents problems traced to original data pipeline issues, data staging environments and system outputs and recommends solutions.
• Identifies and triages deviations from specification and works with project managers to assign tasks that lead to resolution of the identified problem.
• Works with development and implementation teams to ensure projects meet requirements and deadlines.
• Provides customer support throughout the implementation proces.
• Conducts user research to identify pain points and opportunities for improvement.

Basic Qualifications:

• Bachelor’s degree in computer science, data science, mathematics, or a related field.
• Minimum of 5 years’ experience in using data analytics for implementing and configuring AI/ML models/solutions.
• Strong knowledge of AI, machine learning and data analytics strategies and techniques.
• Experience with one or more cloud computing platforms such as AWS, Azure or Google Cloud.
• Proficiency in programming languages such as Python, SQL, Java, JavaScript.
• Problem solving and analytical skills with the ability to manage multiple tasks simultaneously.
• Proficiency with Linux Bash scripting.
• Strong communication and collaboration abilities.
• Ability to work independently with some supervision and be a self-starter with strong and consistent follow-through on initiatives.
• Ability to work effectively under pressure and meet tight deadlines.
• Adaptability to quickly changing circumstances.
• Excellent oral, written and interpersonal communication skills.
• Must be a U.S. Citizen with and Active DoD SECRET clearance (preferred), or the ability to obtain and maintain a DoD SECRET clearance.

Preferred Qualifications:

• Previous experience working with AI/ML, several types of datastores, structured and unstructured data and data analytics
• MS Office 365 skills, mainly MS Outlook, Excel, Word and PowerPoint, highly preferred
• Relevant business and/or technical certifications

• Defines challenges and develops system requirements and program specifications from which data specialists prepare detailed flowcharts, programs and tests.
• Puts forth data aggregation strategies to support AI/ML use cases.
• Coordinates with developers, engineers, SMEs, and customers to ensure proper implementation of program and systems specifications.
• Provides technical direction to junior members of the project team.
• Monitors the performance of existing solutions to identify areas for improvement.
• Integrates, transforms and consolidates data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
• Identifies and documents problems traced to original data pipeline issues, data staging environments and system outputs and recommends solutions.
• Identifies and triages deviations from specification and works with project managers to assign tasks that lead to resolution of the identified problem.
• Works with development and implementation teams to ensure projects meet requirements and deadlines.
• Provides customer support throughout the implementation proces.
• Conducts user research to identify pain points and opportunities for improvement