1

Revenue Assurance In Telecom Jobs in Colorado (NOW HIRING)

All team members are expected to excel in Relationships, Communication, Quality Service ... revenue recognition, lease accounting, and consolidations. Develop and oversee engagement ...

... etc., in excess of twenty-five (25) pounds. Budget / Revenue Responsibility: N/A Organization ... A or GM Dotted Line Manager (Title, if applicable): N/A Number of Direct Reports: 0 Number of ...

... etc., in excess of twenty-five (25) pounds. Budget / Revenue Responsibility: N/A Organization ... A or GM Dotted Line Manager (Title, if applicable): N/A Number of Direct Reports: 0 Number of ...

Named as one of Built In Colorado's Best Places to Work for seven years in a row, KPA is made up of ... Perform reporting QA, variance checks, and data validation across recurring reporting outputs.

Named as one of Built In Colorado's Best Places to Work for seven years in a row, KPA is made up of ... Perform reporting QA, variance checks, and data validation across recurring reporting outputs.

Showing results 41-60

Revenue Assurance In Telecom information

What are common challenges faced by revenue assurance professionals in telecom and how can they be addressed?

Revenue Assurance professionals in telecom often encounter challenges such as identifying and mitigating revenue leakages, managing complex billing systems, and ensuring data integrity across multiple platforms. Staying updated with rapidly evolving technologies and regulatory requirements can also be demanding. To address these challenges, professionals typically collaborate closely with IT, finance, and operations teams, regularly conduct audits, and implement automated monitoring tools to detect discrepancies early. Continuous learning and process optimization are key strategies for success in this role.

What skills and qualifications are needed to thrive as a revenue assurance professional in telecom?

To thrive as a Revenue Assurance professional in Telecom, you need strong analytical skills, a solid understanding of telecom business processes, and typically a degree in finance, accounting, or engineering. Familiarity with revenue assurance tools, data analytics platforms (like SQL, Excel, or specialized RA software), and knowledge of telecom billing systems are essential. Attention to detail, problem-solving abilities, and effective communication skills help professionals identify issues and collaborate across departments. These competencies ensure accurate revenue capture, minimize financial leakage, and support the financial integrity of telecom operations.

What is the difference between Revenue Assurance In Telecom vs Billing Analyst?

AspectRevenue Assurance In TelecomBilling Analyst
CredentialsRelevant certifications like Certified Revenue Assurance Professional (CRAP)Billing certifications or finance/accounting background
Work EnvironmentTelecom companies, focusing on revenue processesTelecom or utility companies, focusing on billing systems
Employer & IndustryTelecom providers, network operatorsTelecom companies, billing service providers

Revenue Assurance In Telecom focuses on identifying revenue leaks and ensuring revenue integrity across telecom networks, while Billing Analysts primarily handle billing processes, invoice generation, and customer account management. Both roles require understanding of telecom operations, but Revenue Assurance has a broader scope in revenue risk management.

What is revenue assurance in telecom?

Revenue Assurance in Telecom refers to the set of processes and tools used by telecommunications companies to ensure that all revenue due is accurately captured, billed, and collected. It involves identifying, preventing, and correcting revenue leakage caused by errors in billing, provisioning, or network configuration. Revenue Assurance professionals analyze data, implement controls, and work across departments to minimize financial losses and maximize profitability. Their work is crucial for maintaining accurate financial reporting and ensuring the company’s financial health.

What are popular job titles related to Revenue Assurance In Telecom jobs in Colorado?

For Revenue Assurance In Telecom jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Revenue Assurance In Telecom jobs in Colorado look for?

The top searched job categories for Revenue Assurance In Telecom jobs in Colorado are:

What cities in Colorado are hiring for Revenue Assurance In Telecom jobs?

Cities in Colorado with the most Revenue Assurance In Telecom job openings:

Infographic showing various Revenue Assurance In Telecom job openings in Colorado as of August 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 84% In-person, 2% Hybrid, and 14% Remote job distribution.

AI Solutions Architect (AI/ML Expertise min 4years required)

R Systems, Inc.

Denver, CO • On-site

Other

Re-posted 11 days ago


Job description

Position: AI Solutions Architect (AI/ML Expertise min 4years required)
Location: Denver, CO
Duration: Long Term
Interview: Internal Video Screening--> Client Webex Interview -->Final In person Interview with Client

About R Systems:

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Job Requirement:
  • Our client is looking for an AI Coach. Someone that the team (PhD and DS staff) can come to for guidance on which model(s) should be used to start building a solution based on the business use case.
  • They are looking for someone that is so experienced (20-30 models they have built), that they can recommend which models to use for the use case, because they have enough experience to say things like "GPT 3.0 and the Claud Model is better for this use case because of XYZ".
  • The reason the client is looking for this role is to expedite the development process. Instead of trying to build something 4 times using 4 different models (trial by error), they are looking for a resource that can help the team shorten the development life cycle by starting them off in a better direction from the onset (build it 1-2 times vs. 4-5) to get to the end solution.
  • Strong expertise in AI/ML, including deep learning, NLP, LLMs, and RAG - No less than 4 years
  • Proven experience architecting and delivering end-to-end AI solutions in cloud environments Azure, AWS, Google Cloud Platform
  • Able to define the right technical direction, architecture, and solution approach for enterprise AI initiatives
  • Strong understanding of scalable AI design, integration, deployment, and operationalization:
  • Excellent communication skills with the ability to guide both technical teams and business stakeholders
  • Ideal profile is a strategic technical leader who can steer the team toward the right long-term AI/ML direction

Why Join R Systems?
  • Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
  • Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
  • Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
  • Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
  • E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
  • Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
#LI-RC1