0 Data Management jobs in the Philippines

Job Description

The MDM Solutions Engineer is responsible for assisting in the design, development, implementation, and maintenance of the organization's Master Data Management (MDM) solutions. This role involves collaborating with cross-functional teams to deliver MDM solutions that meet business requirements, optimize data management practices, and ensure data consistency, accuracy, and compliance with industry standards. The MDM Solutions Engineer will contribute to the development and optimization of data pipelines and integration processes, supporting the overall data infrastructure.

Key Responsibilities:

• MDM Solution Development: Assist in the design and development of MDM solutions that align with organizational data management objectives.
• Team Collaboration: Work with MDM Architects, Designers, Analysts, Business Teams, and other stakeholders to ensure the successful delivery of MDM solutions that meet functional, technical, and business requirements.
• Data Integration and Pipeline Support: Contribute to the development and maintenance of scalable, reliable data pipelines using cloud technologies (e.g., AWS services).
• Data Mapping and Lineage: Support the documentation of data mapping and lineage to ensure transparency and traceability in MDM solutions.
• ETL Process Development: Assist in the design, optimization, and execution of ETL processes to transform raw data into actionable insights.
• Monitoring and Troubleshooting: Assist in monitoring, troubleshooting, and optimizing data pipelines to ensure efficient data processing and high-quality data management.
• Compliance and Standards: Ensure that MDM solutions adhere to data governance, change management, and operational compliance standards.
• Documentation and Reporting: Maintain and update documentation related to MDM solutions, guidelines, and standards. Provide regular updates to the MDM Development Lead on project progress and challenges.

Required Technical Skills:

• Proficient in SQL Development (Oracle, MS SQL, Hive, or similar technologies).
• Experience with Master Data Management tools (Informatica MDM or similar platforms).
• Familiarity with Cloud Technologies (AWS services such as Lambda, Glue, S3, and EC2).
• Experience with API development and data integration processes.
• Solid understanding of ETL processes and data warehousing principles.
• Familiarity with NoSQL databases and data modeling concepts.
• Experience with Big Data technologies (Hadoop, Kafka, Spark).
• Knowledge of Data Governance practices (DMBOK or similar frameworks - preferred).
• Experience with Data Quality Tools (Informatica DQ or similar technologies - preferred).

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities, with the capability to work effectively in cross-functional teams.
• Strong organizational skills with the ability to prioritize tasks and meet deadlines.
• Detail-oriented with a commitment to high-quality data management practices.

Preferred Skills:

• Python programming for data processing and ETL.
• Familiarity with Snowflake or other cloud-based data warehousing solutions.
• Experience with Data Visualization and Dashboard tools (Power BI, Tableau – preferred).
• Familiarity with Data Cataloging tools (Informatica EDC – preferred).

Training and Certifications:

• SQL Development certifications (Oracle, MS SQL, Hive, or similar technologies).
• Master Data Management tools training (Informatica MDM or similar platforms).
• Cloud technologies certification.
• Data Governance and Quality Management training (DMBOK or similar frameworks – preferred).
• Leadership and management training to further enhance team management and strategic execution skills.

Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team.

Why ERNI is the Perfect Place for You:

• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.

Perks and Benefits:

• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.

Growth and Opportunities:

• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,

Finance, and Transportation.

• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and

opportunities for promotion.

• Open Communication: Experience transparency and value your input in our culture.

• Flexibility:

• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.

Events:

• Connect and Celebrate: Participate in a variety of events including leisure, summer,

family, social, and year-end gatherings.

What are our wishes:

• Strong understanding of data management practices, data governance principles, data lifecycle management, and data quality frameworks.
• Proven experience in leading data projects, experience using data platforms / data lake platforms.
• Understanding of principles and practices in CI/CD pipelines, ETL orchestration, and DevOps practices for data platforms.
• Familiarity with data cataloging and/or metadata management practices and tools.
• Knowledge of data privacy laws, especially the Philippine Data Privacy Act and international equivalents.
• Strong project management, stakeholder engagement, and technical leadership skills.
• Experience with Agile/Scrum methodologies and tools like Jira, Confluence, or Azure DevOps.

Experience Requirements

• Minimum 5–7 years of experience in data governance, data management, or data engineering.

• At least 3 years of experience leading Data Lake or enterprise data platform projects.

• Experience in designing scalable data architectures, implementing governance controls, and managing cross-functional teams.
  Exposure to tech-enabled industries such as BPO, fintech, insurance, or telecommunications is highly preferred.

Preferred Educational Background

• Bachelor's or Master's degree in:
• Information Systems / Information Management / Information Science
• Computer Science / Data Engineering / Data Science
• Business Administration / Management

Certifications (preferred but not required):

• DAMA Certified Data Management Professional (CDMP)
• PMP or Agile/Scrum certifications
• Data Privacy and Protection certifications (e.g., CIPP/E)

How can you contribute to the team?

Job Summary

The Data Governance / Data Project Lead is responsible for driving the strategic implementation of data governance frameworks and leading enterprise-scale data projects. This role ensures the integrity, accessibility, and compliance of data assets across the organization, while managing cross-functional teams and delivering scalable data solutions.

Key Responsibilities

• Lead the end-to-end delivery of data projects, providing strategic advisory on data architecture, data integration, metadata management, access controls and data governance as a whole.
• Define and implement data governance frameworks integrated with data platforms or specifically, data lake projects.
• Collaborate with IT, engineering, analytics, and business teams to ensure alignment of data management capabilities with governance policies required for projects
• Manage project timelines, resources, risks, and stakeholder communications using Agile or hybrid methodologies.
• Ensure compliance with the Philippine Data Privacy Act of 2012 and international standards (e.g., GDPR, ISO vis-a-vis the project objectives and frameworks.
• Promote data literacy and governance culture through training and change management initiatives.

Job Summary:

We are looking for motivated and detail oriented OJT Trainees/Internship to support our data management team. The role will focus on conducting data audits and performing data encoding of backlog data, helping ensure accuracy, consistency and efficiency in our records and reporting systems. This is an excellent opportunity for students to gain hands-on experience in data management and administrative support within a professional setting.

Responsibilities:

• Assist in data audits by reviewing and validating records to ensure accuracy and completeness

• Perform Data encoding of backlog data into company databases and systems.

• Help maintain organized and updated digital and physical files.

• Support the team in identifying and correcting discrepancies in data.

• Generic basic reports or summaries as required.

• Adhere to company standards of confidentiality and data integrity.

Qualifications:

• Currently enrolled in a bachelor's program in information technology/ Information management or any related course.

• Basic knowledge of MS Office application (Excel, word, powerpoint)

• Strong attention to detail and willingness to learn

• Good communication and organizational skills.

• Ability to work in a team environment.

What we offer:

• Practical training and mentorship in data management.

• Opportunity to apply academic knowledge in real workplace setting.

• Hands-on experience with data audits, data encoding, and administrative process.

• Certificate of completion upon successful OJT Training/Internship.

Job Type: OJT (On the job training)

Contract length: 1 month

Pay: Php6, Php7,000.00 per month

Benefits:

• Opportunities for promotion
• Paid training

Ability to commute/relocate:

• Ortigas: Reliably commute or planning to relocate before starting work (Preferred)

Work Location: In person

JOB DESCRIPTION:

1. Experience in managing, maintaining and secure the company's database.

2. Work closely with different departments in implementing database solutions.

3. Maintains access control measures, data encryption and monitoring of database activities for possible security breaches.

4. Ensures implementation of disaster recovery plans.

5. Highly knowledgeable in data privacy roles focused in handling data privacy, data security, and compliance, and knowledge of Philippine privacy legislation.

6. Other tasks assigned from time to time.

JOB QUALIFICATIONS:

• Must be a graduate of bachelor's degree of any computer-related course.

• At least 2 years of related work experience.

• Database and data engineering knowledge.

• Ability to communicate and collaborate with various department.

• Detail and result-oriented; Highly-Organized; Able to handle confidentiality.

• Proficient in MS Office applications. And Lotus Notes (or any database).

• Amenable to render overtime when needed.

• Willing to work onsite. Must be a resident near Makati City.

• Available to start anytime.

Job Types: Full-time, Permanent

Pay: From Php25,000.00 per month

Benefits:

• Additional leave
• Company Christmas gift
• Company events
• Health insurance
• Life insurance
• Opportunities for promotion
• Paid training
• Pay raise
• Promotion to permanent employee

Education:

• Bachelor's (Required)

Work Location: In person

Join our innovative team to shape the future of data governance in Consumer & Community Banking. Unlock your potential by driving compliance and oversight in AI/ML technologies. Be at the heart of delivering customer-centric products and services.

Job Summary:

As a Data Management Lead within the Consumer & Community Banking (CCB) Data Use Council & AI/ML Governance teams, you will coordinate with requesters and Control Partners from Controls, Legal, Compliance, and Risk to evaluate data use requests and present assessments to the firm's Chief Data and Analytics Officer (CDAO). You will identify legal, contractual, operational, and reputational risks, focusing on AI/ML and emerging technologies. This role supports the CCB AI Governance Program Office, ensuring effective oversight of related Standards and Procedures.

Job Responsibilities:

• Build and manage a team responsible for supporting the Data Use Council, setting direction and acting as an escalation point for issues.
• Oversee AI/ML use cases for compliance, establishing robust governance structures.
• Collaborate with CDAO and stakeholders to implement monitoring systems and assess risks.
• Demonstrate leadership and communication skills, with a background in governance and controls.
• Prioritize AI data use requests against product roadmaps, key deadlines, project go-live dates, and risk assessments.
• Coordinate review with key stakeholders and senior management, presenting AI data request overviews and risks.
• Work with internal clients (Digital, Marketing, Consumer Banking, Modeling, and management) to evaluate data use requests and identify necessary business requirements, guardrails, conditions, or controls.
• Establish AI communication and documentation team practices, including governance procedures, business informational sites, and workflows.
• Establish enhanced AI Metric Reporting and Oversight, supporting quality control reviews.
• Partner with Control Management to implement enhanced GenAI Use Case monitoring.

Required Qualifications, Capabilities, and Skills:

• Experience building and managing high-performing teams.
• Strategic thinking and planning skills, with abilities to drive innovation.
• Highly developed analytical skills and excellent attention to detail.
• Ability to communicate ideas effectively, both orally and written, to employees and executives.
• Ability to meet deadlines and handle multiple priorities and projects effectively.
• Quality-focused work ethic, effectively responding to rapidly changing business needs.
• Proactive self-starter with leadership and interpersonal skills.

Preferred Qualifications, Capabilities, and Skills:

• Bachelor's degree in business, legal, decision science, data management, or related field with 5-7 years' experience in those fields.
• Experience with technical concepts and working with technical staff as needed.
• Knowledge of PII, metadata, and other data management concepts.
• Proficiency in Microsoft Word, Excel, PowerPoint, Outlook, Visio, SharePoint.
• Prior experience with Data Governance, Estimation/Modeling Development, Legal, Compliance, Privacy, Risk, Controls, or Audit

The candidate should have minimum 2 years of experience in Meter Data Management.

Shift Schedule: 12PM to 10PM.

Work Set up: Hybrid. Number of days in a month or week that needs to be in the office: 2x per week office day.

Project Location (During onsite): CG2, Boni Mandaluyong.

Join our team as a Data Management Associate (for Data Entry) You'll be responsible for data entry from online documents to our prescribed system, identifying key components essential for completion, and maintaining effective email communication for processing and follow-ups.

Salary:

• Php 12,000 (this excludes perfect attendance bonus of Php1,000.00, night differentials, potential account specific incentives, etc)

Perks:

• Free daily meals
• Wellness programs
• Paid time off
• Continuous professional development
• Office location: KSS Building Buhangin and Aeon Towers, Bajada, Davao City

Key Responsibilities:

• Data entry from online documents to prescribed system
• Identify key components essential for data entry completion
• Completion within the prescribed period of time
• Email communication on processing and follow-ups

Work Schedule:

• Graveyard Shift

Ideal Candidate:

• Detail-oriented with strong data entry skills
• Excellent email communication skills
• Able to work independently and meet deadlines
• Comfortable working in a graveyard shift

Job Type: Full-time

Pay: From Php12,000.00 per month

Work Location: In person

Expected Start Date: 09/15/2025

Role Overview:

The Data Management Officer is responsible for ensuring the cleanliness, consistency, and

reliability of data used across the organization. This role is not responsible for creating

reports, but plays a key supporting role by preparing clean, structured datasets and

investigating data issues. The officer also helps document table architecture to assist

developers and analysts in understanding data relationships and usage.

Key Responsibilities:

 Perform data quality audits to detect duplicates, errors, or inconsistencies in key

datasets

Clean and transform data using SQL and Python (pandas, regex, etc.)

se Fuzzy Lookup and other approximate matching techniques to reconcile data

upport Data Analysts by preparing clean, analysis-ready tables

nvestigate root causes of discrepancies flagged in reports or dashboards

aintain flat table formats and enforce data naming/structure standards

oordinate with third-party data cleaners and ensure their outputs meet internal

standards

reate and maintain documentation for:

• Table architecture (schemas, key fields, source descriptions)

• Merge/join keys and how tables relate to each other

• Intended use, refresh logic, and data lineage for each table

nforce internal data governance rules and ensure compliance across teams

rack and maintain records of analytics-related tasks, report requests, and cleanup

activities across the team

erve as the central point of coordination for analytics operations and workflow

management

elp facilitate alignments/meetings to review priorities, monitor progress, address

blockers, and align deliverables across the data team

Qualifications:

roficient in SQL for querying, validating, and restructuring data

killed in Python (especially pandas and basic scripting) for bulk cleaning and

transformation

amiliar with fuzzy matching techniques using Fuzzy Lookup (Excel) or

fuzzywuzzy/RapidFuzz (Python)

nderstanding of data architecture, including primary keys, foreign keys, and table

relationships

xperience in writing clear and structured data dictionaries or technical table guides

nowledge of data quality dimensions (accuracy, completeness, consistency, timeliness,

uniqueness)

ble to work with flat tables for pivoting and analysis

roficient in Excel and Google Sheets for manual validation and light cleanup

xcellent attention to detail with strong debugging and documentation skills

Job Type: Full-time

Pay: From Php20,000.00 per month

Work Location: In person

Key Responsibilities:

• Develop and maintain systems and processes for organizing and storing internal documents, reports, and knowledge resources.

• Collect, clean, and manage datasets to ensure data quality, consistency, and accuracy.

• Design and manage digital filing systems, knowledge repositories, and databases to improve accessibility and usability.

• Support teams in documenting procedures, best practices, lessons learned, and project outputs.

• Analyze and generate reports from data sets to support planning, monitoring, and evaluation activities.

• Ensure compliance with organizational policies regarding data privacy, security, and information management.

• Provide training and technical support to staff on knowledge management tools and data systems.

• Collaborate with teams to identify information gaps and recommend solutions for better knowledge and data sharing.

Qualifications:

• Bachelor's degree in Information Management, Data Science, Library Science, Business Administration, or a related field.

• Experience working with knowledge management systems (e.g., SharePoint) and data tools (e.g., Excel, Power BI, or similar).

• Strong attention to detail and ability to manage structured and unstructured information.

• Excellent written and verbal communication skills.

• Ability to work independently and collaboratively across different teams and departments.

• Experience or familiarity with artificial intelligence (AI) tools is highly desirable, as the role may involve leveraging emerging technologies to enhance productivity, streamline workflows, and support data-driven decision-making