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Certified Data Management Professional Jobs (NOW HIRING)

Data Governance Specialist

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Desirable but not required certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or Microsoft Certified: Azure Data Engineer ...

Information Governance Professional (IGP) Certified Records Manager (CRM) Certified Information Professional (CIP) Certified Data Management Professional (CDMP) Data Governance & Stewardship ...

Data Architect

Tampa, FL

$60.25 - $77.50/hr

Certified Data Management Professional (CDMP) certification. * Proficiency in modeling frameworks like Universal Modeling Language (UML) * Experience with the Sponsor's primary cyber risk and ...

AR · On-site

$93K - $224K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Certified Data Management Professional (CDMP) * Tableau Certification * Microsoft Power BI Certification Industry * Life Sciences Domain Certifications * PMP / Agile Certification * TOGAF ...

Data Architect with Security Clearance

Tampa, FL · On-site

$60.25 - $77.50/hr

Certified Data Management Professional (CDMP) certification. * Proficiency in modeling frameworks like Universal Modeling Language (UML) * Experience with the Sponsor's primary cyber risk and ...

Showing results 41-60

Certified Data Management Professional information

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How much do certified data management professional jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for certified data management professional in the United States is $56.94, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $71.39 per hour, depending on experience, location, and employer.

Is Certified Data Management Professional a professional qualification?

Yes, the Certified Data Management Professional (CDMP) is a recognized professional certification in data management. It validates expertise in data governance, quality, and architecture, and is often pursued by data professionals to demonstrate their skills and advance their careers.

Is a certified data management professional worth it?

A certified data management professional demonstrates expertise in data governance, quality, and management tools, which can improve job prospects and salary potential. Certification such as CDMP can validate skills and may be preferred by employers in data-driven roles, making it a valuable credential for career advancement.

Is data management in demand?

Data management professionals are in high demand across industries due to the increasing reliance on data-driven decision making. Skills in data governance, database tools, and certifications like CDMP enhance job prospects as organizations seek to improve data quality and compliance.
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Infographic showing various Certified Data Management Professional job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $118,445 per year, or $56.9 per hour.

Manager-AI and Data Risk Management

Deloitte

New York, NY • On-site

Full-time

Posted 6 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 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:

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