Designer Associate

Position: Designer Associate
Location: Irving, Texas
Duration: 12-Month Contract

Job Overview:

The Designer Associate will support a Distribution Operations Center Technical Support Mapping Team by ensuring the accuracy and quality of electric distribution system mapping. This position will review and update AEGIS-OMS mapping data, support distribution design and process improvement projects, identify data quality issues, and collaborate with internal stakeholders to ensure accurate electric facility records.

The ideal candidate will have experience in utility mapping, GIS, electric distribution design, construction, data quality, or project coordination. This position requires strong attention to detail, effective communication skills, and the ability to work independently in a deadline-driven environment.

Work Schedule and Location:

• Monday through Friday, 7:00 a.m.-3:00 p.m. or 7:30 a.m.-3:30 p.m.
• Onsite at the Irving, Texas location during the first 2-3 months.
• After the initial onsite period, the schedule will transition to hybrid:
  • Tuesday-Thursday onsite
  • Monday and Friday remote
• Up to 15% travel may be required. Approved business travel expenses will be reimbursed; commuting expenses are not reimbursable.
• Participation in an on-call storm support schedule is required. Depending on storm severity, support may be provided onsite in Irving or remotely.

Responsibilities:

• Inspect the quality and accuracy of AEGIS-OMS mapping data for new, modified, and expanded electric distribution projects.
• Ensure electric facilities are accurately mapped to meet Distribution Operations Center customer and operational needs.
• Post and maintain accurate AEGIS mapping data.
• Identify connectivity, graphics, and data quality issues within the AEGIS-OMS map.
• Make reactive mapping corrections to resolve discrepancies between system records and field conditions.
• Conduct regular data quality assessments and develop corrective action plans to address identified issues.
• Coordinate with internal work groups and cross-functional stakeholders to ensure project expectations are met.
• Support project management and process improvement initiatives from inception through completion.
• Maintain consistent work quality, productivity, accuracy, and volume.
• Incorporate safety considerations into the design and operation of electric distribution facilities.
• Support storm restoration activities as needed, including participation in the on-call storm schedule.
• Provide training to team members on mapping tools, data management procedures, and best practices.
• Participate in professional development and training opportunities.
• Perform other duties and responsibilities as assigned.

Qualifications:

• High school diploma, GED, or equivalent required.
• Associate or bachelor's degree in a technical field is preferred.
• 3-7 years of experience in utility design, electric distribution, GIS/mapping, construction, engineering support, data quality, or project management.
• Experience with utility mapping, electric distribution systems, GIS, OMS, or related platforms is preferred.
• Strong attention to detail and ability to identify data discrepancies and system issues.
• Ability to manage projects and assignments independently while collaborating with cross-functional teams.
• Strong written and verbal communication skills.
• Ability to prioritize multiple assignments and meet deadlines.
• Commitment to safety, accuracy, and quality.
• Ability and willingness to support storm restoration efforts when required.

Measures of Success:

• Consistently delivers accurate and timely OMS mapping work.
• Identifies and resolves connectivity, graphics, and data quality issues.
• Completes projects and assignments from inception through completion.
• Maintains reliable work quality and productivity.
• Collaborates effectively with internal departments and stakeholders.
• Promotes safety awareness and supports Oncor's safety program.
• Accurately completes work assignments with minimal supervision.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5,000 professionals providing services across the U.S. and Canada. For more information, visit .

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $35/Hr

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at .

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

#LI-AB2