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Junior Data Manager Jobs in Puerto Rico (NOW HIRING)

Boston Scientific

Lead and mentor junior field clinical representatives, providing coaching, onboarding support, and ... Leverage data, digital tools, and emerging technologies (including AI) to enhance clinical decision ...

Deloitte

Tax Manager - Real Estate

San Juan, PR · On-site

$108K - $142K/yr

... and data analytics. * Managing engagement workflow, engagement team resources, and engagement billing. * Mentor and develop junior staff, including those in our U.S. India office, providing ...

TransPerfect

SEO Specialist

San Juan, PR · Remote

They work alongside Sales to pitch digital marketing services and data-driven strategies to ... DESCRIPTION -Work alongside the account management to help grow international SEO/performance ...

TransPerfect

SEO Specialist

San Juan, PR · On-site

They work alongside Sales to pitch digital marketing services and data-driven strategies to ... DESCRIPTION -Work alongside the account management to help grow international SEO/performance ...

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Junior Data Manager information

What is a junior data manager?

A Junior Data Manager is an entry-level professional responsible for assisting in the organization, storage, and management of data within an organization. Their duties often include maintaining databases, ensuring data accuracy, supporting data collection processes, and helping to implement data management policies. Junior Data Managers typically work under the guidance of senior data managers or data analysts, and they play a key role in ensuring data is accessible, secure, and reliable for business operations. This position is ideal for individuals interested in data analytics, database administration, or information management, and usually requires strong attention to detail and proficiency with data management tools.

What are the key skills and qualifications needed to thrive as a junior data manager?

To thrive as a Junior Data Manager, you need a solid understanding of data management principles, basic statistics, and a relevant degree such as in computer science or information systems. Familiarity with SQL databases, data visualization tools like Tableau or Power BI, and knowledge of data governance frameworks are typically required. Strong attention to detail, analytical thinking, and effective communication help you collaborate with teams and ensure data accuracy. These skills are vital for maintaining high-quality, reliable datasets that support informed business decision-making.

What are some common challenges faced by junior data managers when ensuring data quality and integrity?

Junior Data Managers often encounter challenges such as dealing with inconsistent data formats, missing values, and duplicate records across multiple sources. Collaborating with various departments to standardize data entry processes and implementing validation checks are key responsibilities. It's important to develop strong attention to detail and effective communication skills to resolve discrepancies and maintain high data quality, which are crucial for supporting accurate business analytics and reporting.

What is the difference between Junior Data Manager vs Data Analyst?

AspectJunior Data ManagerData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; basic knowledge of databasesBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentData management teams, IT departments, database systemsBusiness units, marketing, finance teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

Junior Data Managers focus on maintaining and organizing data systems, ensuring data quality, and supporting data infrastructure. Data Analysts interpret data, generate reports, and provide insights for decision-making. While both roles require data-related skills, Junior Data Managers handle data storage and integrity, whereas Data Analysts focus on analyzing data to inform business strategies.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data governance, database management, and tools like SQL and Excel to ensure data accuracy and security, making this a growing field for job seekers with relevant skills and certifications.

How much does a junior data manager get paid?

A junior data manager typically earns between $45,000 and $65,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while additional skills in data analysis tools can increase salary potential.

What are the most commonly searched types of Data Manager jobs in Puerto Rico?

The most popular types of Data Manager jobs in Puerto Rico are:

Junior Data Manager jobs near you
Infographic showing various Junior Data Manager job openings in Puerto Rico as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Principal Engineer - AI Architect

Hewlett Packard Enterprise Development LP

San Juan, PR • Hybrid

Full-time

Re-posted 13 days ago

Job description

Principal Engineer - AI ArchitectThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

We are seeking an AI Architect a senior technical leader responsible for designing and overseeing end-to-end AI systems that align with business objectives. This role bridges business strategy and technical execution, ensuring scalability, security, and compliance across AI solutions. Should have Good Networking knowledge
Responsibilities:
Design end-to-end AI systems (data ingestion model deployment UI).
Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness.
Strategic Planning & Business Alignment

  • Define AI roadmap aligned with organizational goals.
  • Identify high-impact AI use cases and assess ROI.
  • Engage stakeholders early for feasibility and governance.


Architecture & System Design

  • Design AI system architecture (data pipelines, model lifecycle, orchestration).
  • Integrate AI with enterprise apps and internal systems.
  • Ensure scalability, fault tolerance, and cost efficiency.

Model & Data Management

  • Select appropriate ML/DL models and frameworks (TensorFlow, PyTorch).
  • Define versioning, fine-tuning, and deployment strategies.
  • Implement CI/CD for ML pipelines and monitoring.

Security, Compliance & Governance

  • Enforce data privacy, ethical AI practices, and audit trails.
  • Implement guardrails for LLMs and prompt safety.
  • Collaborate with security teams for risk mitigation.

Cross-Functional Leadership

  • Mentor engineers and data scientists.
  • Translate business requirements into technical tasks.
  • Drive collaboration across product, data, and operations teams.

Education and Experience Required:

  • Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
  • Typically, 10+ years' experience.

Knowledge and Skills:

  • Programming & Software Engineering: Python, Java, Node.js; API design; microservices.

  • Cloud & Distributed Systems: AWS, Azure, GCP; container orchestration. (desirable)

  • Technical Expertise

  • Strong knowledge of AI/ML algorithms, LLMs, RAG, and agent-based systems.

  • Proficiency in Python and API integration.

  • AI/ML Expertise: Model selection, NLP frameworks like TensorFlow, PyTorch, Hugging Face.

  • Experience with MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP).

  • System design for distributed AI applications.

  • Data architecture (ETL, feature stores, vector databases).

  • Security and compliance for AI systems.

  • Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers.

#LI-Hybrid

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico#networking

Job:

Engineering

Job Level:

TCP_05

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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