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Data Manager Jobs in Bayamon, PR (NOW HIRING)

Pwc

Oracle CPQ - Senior Manager

San Juan, PR · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Hub - Promoting service excellence and customer experience (CX) in client engagements ... Business Administration/Management, Marketing, Commerce, Finance, Management Information Systems ...

ICF

Project Manager - (Puerto Rico)

San Juan, PR · On-site +1

  • Medical

  • Retirement

  • PTO

... geospatial data, algorithms, and infrastructure. Working at ICF means applying a passion for ... Manages the risk register and updates the Risk Management Plan and quality assurance activities.

Pwc

Oracle EPM - Senior Associate

San Juan, PR · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Financial Master Data Management; and, Account Reconciliations. Demonstrates thorough abilities and/or a proven record of success as a team leader, leading technical implementation of EPM (Enterprise ...

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Bayamon, PR

Data Manager information

See Bayamon, PR salary details

$27.9K

$87.5K

$154.9K

How much do data manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data manager in Bayamon, PR is $87,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $113,000.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What cities near Bayamon, PR are hiring for Data Manager jobs?

Cities near Bayamon, PR with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Bayamon, PR as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $87,504 per year, or $42.1 per hour.

Data Scientist Senior - 35618 - Juncos, PR

Integrated Services for Productivity & Validation, Inc

Juncos, PR • On-site

$90 - $130/hr

Other

Posted 12 hours ago

Posted today

Job description

Integrated Services For Productivity & Validation, Inc

Contract

Juncos, Puerto Rico

We provide the industry with a platform of solutions designed to their actual needs. We share and implement leading edge technology and methods that exceed customer expectation and deliver a one-stop provider of services focus on the well-being of the company and the employees.

Job Description
  • The ideal candidate should demonstrate a strong combination of technical, analytical, and operational skills to support AI-enabled optimization, resource planning, and validation-related initiatives within Drug Product.
  • A standout candidate would have experience or demonstrated capability in the following areas:
  • Data analytics and visualization.
  • Ability to collect, organize, clean, analyze, and interpret complex operational or manufacturing data. Experience with tools such as Excel, Power BI, Smartsheet, JMP, Minitab, or similar platforms would be highly valuable.
  • Programming, automation, and AI-enabled tools.
  • Foundational programming or automation experience, including exposure to Python, Codex, AI-assisted coding tools, Power Automate, scripting, database structure, or digital workflow development. The candidate does not need to be an expert programmer but should be comfortable learning and applying digital tools to solve business problems.
  • Statistical and process evaluation mindset.
  • Understanding of basic statistics, process variability, trending, capacity evaluation, data comparison, and performance monitoring. This would support both workload forecasting and characterization/validation data evaluation.
  • Validation and/or GMP documentation experience.
  • Knowledge of GMP expectations, validation lifecycle activities, protocol/report development, documentation practices, data integrity, discrepancy follow-up, and compliance-driven execution.
  • Strong communication and stakeholder engagement.
  • Ability to work with cross-functional teams, gather user requirements, translate business needs into tool requirements, and communicate findings clearly to management and technical stakeholders.
  • Be available to support non-standard shift when activities are required.
Requirements

MUST qualify in the categories as follows:

Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR

High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

  • The following educational backgrounds may be considered, provided the candidate’s experience meets the role requirements: Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related technical discipline.
  • A background in Engineering is highly preferred due to the project’s focus on resource planning, workload modeling, capacity evaluation, process optimization, and operational efficiency. However, candidates from science, or data-focused backgrounds may also be strong fits if they demonstrate experience with data analytics, digital tools, GMP operations, and validation support.
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