1

Provider Data Management Jobs in Texas (NOW HIRING)

Showing results 41-60

Provider Data Management information

See Texas salary details

$28.9K

$90.5K

$160.2K

How much do provider data management jobs pay per year?

As of Sep 6, 2026, the average yearly pay for provider data management in Texas is $90,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $116,900.00 per year, depending on experience, location, and employer.

What is provider data management?

A Provider Data Management job involves maintaining and updating healthcare provider information in databases to ensure accuracy for insurance companies, health systems, or third-party administrators. Responsibilities include verifying provider credentials, processing updates, and ensuring compliance with regulatory standards. This role helps prevent claim issues, improves provider directory accuracy, and supports efficient healthcare operations. Strong attention to detail, problem-solving skills, and knowledge of healthcare data systems are essential for success in this field.

What are the typical responsibilities of someone working in provider data management?

In a Provider Data Management role, you'll primarily be responsible for maintaining accurate and up-to-date records of healthcare providers, including verifying credentials, onboarding new providers, and managing updates or terminations. You may work closely with credentialing teams, compliance officers, and IT professionals to ensure data aligns with regulatory standards and operational needs. Regular tasks often include data entry, auditing information for accuracy, troubleshooting discrepancies, and communicating with providers to gather or verify important data. This role is integral to supporting healthcare operations, insurance claims, and ensuring that patients have access to approved providers.

What are the key skills and qualifications needed to thrive in provider data management, and why are they important?

To thrive in Provider Data Management, you need strong analytical skills, attention to detail, and experience with health care data systems, often supported by a degree in health information management or a related field. Familiarity with provider databases, credentialing software, and industry standards such as HIPAA compliance is typically required. Excellent organizational skills, problem-solving ability, and effective communication help you excel when coordinating with various internal teams and external providers. These competencies ensure the accuracy and reliability of provider data, which is crucial for seamless healthcare operations and regulatory compliance.

What job categories do people searching Provider Data Management jobs in Texas look for?

The top searched job categories for Provider Data Management jobs in Texas are:

What cities in Texas are hiring for Provider Data Management jobs?

Cities in Texas with the most Provider Data Management job openings:

Infographic showing various Provider Data Management job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,505 per year, or $43.5 per hour.

Manager-AI and Data Risk Management

Deloitte

Dallas, TX • On-site

Full-time

Posted 25 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description

Technical Manager - AI & Data Risk Management - Financial Services 

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

The Manager is a key hands-on leader of a team providing data and analytics solutions to our clients, and you will have following roles:

  • Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives
  • Be the main point of contact for clients, communicating progress, and insights to stakeholders
  • Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security
  • Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions
  • Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements
  • Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team
  • Coordinate with cross-functional teams internally and externally to execute engagements
  • Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients
  • Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives
  • Present findings and recommendations to stakeholders in a clear, impactful manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 7+ years' experience in data architecture, data management, or data engineering
  • 3 years' experience in the financial services or fintech industry
  • Proficiency in tools in the following areas:
    • Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
    • Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)
    • Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)
    • Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
    • Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)
    • Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)
  • Experience in:
    • Reporting tools such as Axiom for regulatory reporting in banking
    • Data integration and migration projects within financial services
    • Data governance tools and their application in a regulatory context
  • Ability to manage large datasets and perform complex data manipulations and analyses
  • Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
  • Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments
  • Experience managing distributed teams across geographies and overseeing complex projects
  • Limited immigration sponsorship may be available
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA
  • Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials
  • 4+ years of experience in the financial services industry

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141200 to $278300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Technical Manager - AI & Data Risk Management - Financial Services 

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

The Manager is a key hands-on leader of a team providing data and analytics solutions to our clients, and you will have following roles:

  • Act as a team leader in engagements, providing project oversight and guidance on the direction for the team ensuring the team is aligned with client / engagement objectives
  • Be the main point of contact for clients, communicating progress, and insights to stakeholders
  • Design and implement solutions to enhance data management capabilities such as data architecture, data platforms, data governance, data quality, and data security
  • Apply knowledge of Financial Services industry systems, tools, and technologies to develop robust and scalable solutions
  • Integrate and/or pilot next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) in designing solutions or execution of engagements
  • Oversee technical components of data initiatives and perform technical reviews of solutions designed by the team
  • Coordinate with cross-functional teams internally and externally to execute engagements
  • Develop strategies for utilizing analytics and visualization tools to transform raw data into actionable insights for the clients
  • Prepare reports for senior management that detail progress, challenges, and milestones related to projects and initiatives
  • Present findings and recommendations to stakeholders in a clear, impactful manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 7+ years' experience in data architecture, data management, or data engineering
  • 3 years' experience in the financial services or fintech industry
  • Proficiency in tools in the following areas:
    • Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.)
    • Big Data Tools (e.g., Databricks, Snowflake, Apache Spark & Kafka, etc.)
    • Data Management (e.g., Collibra, Alation, Informatica, Alteryx, etc.)
    • Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.)
    • Data Visualization (e.g., Tableau, PowerBI, Qlik, etc.)
    • Data Mining (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.)
  • Experience in:
    • Reporting tools such as Axiom for regulatory reporting in banking
    • Data integration and migration projects within financial services
    • Data governance tools and their application in a regulatory context
  • Ability to manage large datasets and perform complex data manipulations and analyses
  • Strong analytical skills with the ability to interpret complex data and translate it into actionable insights
  • Proven track record of effective communication (written and verbal) and complex problem solving in fast paced environments
  • Experience managing distributed teams across geographies and overseeing complex projects
  • Limited immigration sponsorship may be available
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems or a related field OR MBA
  • Project Management Professional (PMP), Cloud Certification (e.g. AWS, Azure), Certified Data Management Professional (CDMP), or similar credentials
  • 4+ years of experience in the financial services industry

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141200 to $278300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom