233 Vendor Data Governance jobs in the Philippines

We are seeking a highly detail-oriented and driven individual to join our team as a Data Quality Specialist. You will be the crucial link in training our machine learning models, ensuring the data we use is pristine, accurate, and ready for deployment.

Your Key Responsibilities:

• Precise Labeling: Accurately label and annotate diverse datasets, strictly following project specifications and rules.

• Quality Control: Verify the completeness and accuracy of annotated data, performing necessary corrections, adjustments, and appeals.

• Effective Collaboration: Work closely with support and clients to ensure high-quality data output that meets strategic goals.

• Skill Development: Continuously learn and apply new annotation techniques and tools to improve personal efficiency and accuracy.

• Timely Reporting: Professionally communicate any issues or challenges with data annotation to project leads in a timely manner.

• Performance Delivery: Adhere to project KPIs and deliver high-quality annotated data within predetermined timelines.

What We Look For:

• Detail Mastery: You are naturally thorough, complete, and accurate in all tasks—a true guardian of data quality.

• Resilience and Hustle: You are a problem-solver who doesn't give up easily and finds efficient workarounds for roadblocks. You understand that the job requires fortitude to power through repetitive but essential tasks.

• Strategic Empathy: You look beyond the instruction, understanding the intent and goal of the client/team to deliver the most valuable results.

• Minimum Requirements:

• At least six (6) months of background in Data Annotation or Labelling.

• Good English communication skills.

• Excellent customer service, problem-solving, and multitasking abilities.

• Superb computer skills and comfort with new software.

• Willingness to work a shifting schedule.

We are looking for a meticulous Data QA Assurance to ensure the accuracy and integrity of our data pipelines and reporting. This role plays a key part in validating datasets and verifying that data output meets business and technical requirements.

Location: Makati, Philippines

Send your resume to , cc: , and , and with the Subject: Data Quality Assurance

Working Hours: 8pm to 5am, Monday to Friday

Responsibilities:

Review and validate datasets for completeness, accuracy, and consistency.

Perform manual and automated QA checks across data pipelines and dashboards.

Document and report data anomalies and track resolution.

Collaborate with data engineers and analysts to implement QA protocols.

Maintain data dictionaries, QA logs, and versioning records.

Perform regression testing during data updates or system changes.

Support ad hoc data validation requests from business stakeholders.

Qualifications:

Experience in data quality control, analysis, or data management roles.

Basic SQL skills and familiarity with spreadsheets or BI tools.

Strong attention to detail and problem-solving mindset.

Ability to document processes and follow QA protocols precisely.

Night shift availability and capacity to work independently.

Who We Are:

At Kayana, we're shaping the future of technology by unlocking opportunities and driving progress at an accelerated pace. We push boundaries, expand horizons, and build on our legacy—supported by some of the country's most esteemed conglomerates and powered by the synergies of the MVP Group.

Our mission is clear: to create abundant opportunities and pave the way for generational progress for Filipinos. Harnessing the power of data and technology, we are leading the charge in crafting a new world where individuals and businesses are seamlessly connected to a digital universe, enabling them to do more and be more.

We're turning the impossible into possible. Sa Káyana, kaya na.

Job Summary:

The Data Quality Developer supports the Data Quality Analyst by creating reports, dashboards and extracts that enable monitoring and analysis of data quality. This role ensures stakeholders have timely insights and tools to identify and resolve data quality issues.

Key Responsibilities:

• Develop and maintain reports, dashboards, and data extracts to support data quality (DQ)analysis.
• Support the Data Quality Analyst in data extraction and investigation activities.
• Leverage BI tools to visualize data quality metrics.
• Automate repetitive reporting processes to improve efficiency.
• Collaborate with Analysts and Leads to design effective monitoring solutions.

Qualifications:

• Background in Data Management or BI/analytics development.
• 3-4 years of hands-on experience with Databricks, SQL, and BI tools (Power BI, Tableau, etc.)
• Familiarity with ETL tools and Big Data technologies and environments.
• Solid understanding data quality concepts and practices.
• Detail-oriented with a strong technical foundation.
• Strong demonstration skills and capable of conducting requirement-gathering sessions with clients.

Education / Certifications:

• Bachelor's degree in Industrial Engineering or Information Technology

Preferred Skills:

• Strong data visualization and reporting skills.
• Good communication and teamwork abilities.
• Problem-solving and process automation skills.

Key Performance Indicators:

• Metrics on Data Visualization Lifecycle Management

The Data Quality Analyst supports the Online Research Department by analyzing and verifying market research data to ensure accurate, high-quality project deliveries. This role primarily uses SPSS to read, write, and modify SPSS syntax, verifying that data files (.sav) conform to client specifications. The Data Quality Analyst must also communicate any issues or discrepancies promptly and clearly to Project Managers or other relevant staff.

Essential Job Functions and Responsibilities (What is done and why in order of importance)

• Use SPSS syntax to review and verify .sav files, ensuring the layout, logic, and data align with the specifications provided by the clients documentation.
• Perform basic data processing tasks (e.g., appending, transforming, merging) in SPSS to ensure clean data for overall analysis.
• Document and communicate any issues or discrepancies in a clear, concise mannervia email, Slack, or other established channelsto Project Managers, Department Managers, or VPs.
• Participate in weekly Teams audio calls and provide updates on workload, progress, and any barriers to timely completion.
• Respond to assignments from QA Lead, Department Manager, or VP, providing feedback to ensure prompt resolution of tasks and adherence to project timelines.
• Collaborate with team leads and department managers to establish realistic client deadlines and immediately escalate any issues that threaten agreed-upon delivery dates.
• Fulfill any other tasks and projects as assigned by executive management.

Other Job Functions and Responsibilities

Commitment: Knowledgeable about market research, dedicated to the goals of the company while promoting a positive culture to ensure good relationships, overall satisfaction and profitability.

Communications: Must speak clearly and fluently to communicate on a wide range of topics. Above average reading comprehension, and grammatically correct written communication skills. Must have the ability to understand and respond intelligently to business correspondence. Interpersonal skills as needed to persuade, manage conflict, debate and negotiate. Response to pressure should be calm and reasonable.

Judgment: Comprehension of job requirements and procedures. Can initiate and perform work assignments under minimal supervision that may be broad, varied, and complex in nature. Employee must have the ability to use educated and intuitive judgment to make decisions.

Analysis: Mathematical aptitude; use of numeric calculations for accuracy of reports and tasks.

Organization: Organizational and time management skills sufficient to plan and accomplish assigned goals.

Logic: Deductive reasoning ability to enable the appropriate application of general concepts to specific situations. Able to translate theory into business practices. Employee must apply experience, skills and information to identify problems and plan strategic resolutions.

Work Ethics: Must be willing to work hard, be dependable and responsible, possess a positive attitude and maintain a sense of honesty and integrity.

Core Values:

We are committed to our Core Values; Passionate and Driven

• Delivering Excellence
• Embracing and Driving Change
• Career Growth and Development
• Keeping it fun.

Education, Experience & Skills

Education:

Minimum requirement is a Bachelors Degree or related job experience.

Specific Job Experience:

• Computer-savvy with some programming experience
• Strong understanding of data processing and statistical methodology
• Proficiency in SPSS
• Proficient in Microsoft Outlook, Excel, and Word
• Open to learning new processes and taking on new challenges
• Quick learner with keen attention to detail
• Demonstrated independent thinking skills

The Opportunity.

We are seeking for a highly capable data quality analyst to validate all data developments and reports that the data team is building for Singlife Philippines to enhance accuracy and integrity of our organization's data.

He/She should exhibit extensive knowledge of data analysis techniques and experience in a similar role. He/She will be someone whose data analysis expertise results in reliable information for company executives.

The Role.

• Running data queries to identify coding issues and data exceptions, as well as cleaning data.
• Validate data ingestion jobs and scripts if accurate based on requirements and/or mappings.
• Validate dashboards and reports produced by the data team to ensure reliability of information based on business requirements.
• Reporting data analysis findings to management to inform business decisions and prioritize information system needs.
• Documenting processes and maintaining data records.
• Adhering to best practices in data analysis and collection.

The Expertise.

• Bachelor's degree in statistics, mathematics, computer science, information management, or similar.
• At least 5 years of experience in data analysis.
• Proficiency in programming languages, including Structured Query Language (SQL)
• Exceptional analytical skills.
• Advanced problem-solving skills.
• Knowledge of best practices in data analysis.
• Excellent interpersonal and communication skills.

About us.

Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

We are seeking a detail-oriented and proactive Customer Service Operations & Integration Analyst to manage and support customer service operations for both new and existing patients. This role ensures high-quality service delivery, accurate processing of meter batch data, and resolution of exception tasks. The position also plays a key role in maintaining and generating analytical reports using tools like Power BI and Patient Connect, identifying and resolving integration discrepancies across systems.

This role requires strong analytical skills, a customer-first mindset, and the ability to collaborate across departments such as Sales, Operations, and IT to ensure seamless data flow and operational efficiency across the ACH platform

Key Responsibilities

• Manage day-to-day customer service tasks supporting patients.
• Ensure accurate processing of meter batch data and handle Customer Responsibility Agreement exceptions.
• Generate, maintain, and analyze reports using Power BI and Patient Connect to monitor service quality and system performance.
• Identify and resolve data integration issues across platforms such as Patient Connect and Coag Clinic.
• Collaborate with cross-functional teams to troubleshoot and resolve discrepancies in patient data and service workflows.
• Provide insights and recommendations based on data trends to improve operational efficiency.
• Support continuous improvement initiatives by identifying process gaps and proposing solutions.
• Maintain documentation of processes, exceptions, and resolutions for audit and knowledge-sharing purposes.

Qualifications

• Bachelor's degree in Business Administration, Healthcare Management, Information Systems, or a related field.
• 2–4 years of experience in customer service operations, preferably in a BPO or healthcare support environment.
• Proficiency in Power BI, Excel, and CRM/ERP systems (e.g., Patient Connect, Microsoft Dynamics GP).
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and collaboration skills.
• Experience working with cross-functional teams and managing data integration issues is a plus.

Preferred Skills

• Experience in the US healthcare insurance industry.
• Familiarity with healthcare processes, patient data management, or medical device support.
• Knowledge of data integration tools or middleware platforms.
• Lean or Six Sigma certification is a plus.
• Strong problem-solving skills and attention to detail.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and supportive work environment.

Work Location : Philippines - Manila

Type of Post : Not Applicable

Other Possible Location : Kenya - Nairobi

Funding : APPROVED

Expected Travel : Not Applicable

Type of Contract :

Language Requirement : English

Application Deadline :

Employee Duration : Full-Time

• Starting salaries are based on various factors, including candidate experience, education, knowledge, skills, and the cost of labor where the job is based. Salaries listed only apply to jobs based in the US.

Who We Are:

As a global leader, CARE is shaping the future of the humanitarian and development sector. Each year, we deliver support and services to millions of people globally. We do this by focusing on our mission and vision, and the values of equality and excellence that guide our organization. We seek dedicated individuals who align with our mission and are passionate about making it a reality by collaborating with others, embracing learning and innovation, and delivering results.

What We Are Looking For:

At CARE, we value diversely talented people who can bring different experiences and perspectives to our organization. We know that not all applicants will have every skill and qualification. We encourage everyone who meets the minimum required qualifications to apply. Having one or more of the preferred qualifications will strengthen an application. But, even if you are earlier in your career or followed a non-traditional educational or professional path, we hope you will consider a career at CARE.

Job Title:DATA QUALITY SPECIALIST

Job Location(s):Philippines - Manila

JOB SUMMARY

The Data Quality Specialist will support CARE's global Oracle implementation by ensuring the accuracy, consistency, and readiness of data across Core HR, Supply Chain Management (SCM), and Enterprise Resource Planning (ERP) systems. This role will focus on identifying and resolving data inconsistencies, such as formatting issues, across data extracts from legacy system. The Specialist will collaborate with functional experts and project team members, including business analysts and change managers, to extract, clean, and prepare data for migration. They will also contribute to process improvement efforts and lessons learned to support future implementation phases.

This position is currently funded through 30 June 2026 but is planned to continue through August 2027, subject to availability of funding.

RESPONSIBILITIES

Data Cleansing and Standardization

• Identify inconsistencies in legacy data (e.g., phone numbers and addresses) and apply appropriate methods to clean and standardize it for Oracle compatibility. Use Excel formulas, scripts, or manual review as needed. This ensures high-quality data is migrated into Oracle systems, reducing errors and rework. Work with offices to help extract data from legacy systems.

Data Validation and Migration Support

• Collaborate with technical teams to validate data against Oracle requirements. Assist in test uploads and troubleshoot data-related issues during migration cycles. This helps ensure a smooth transition and system integrity.

Process Documentation and Feedback

• Document data issues, fixes, and lessons learned. Provide feedback to improve upstream data entry processes and support better data governance. This contributes to long-term data quality and sustainability.

Cross-Functional Collaboration

• Work closely with HR, Finance, and Supply Chain teams, as well as project managers and change managers, to align on data needs and priorities. This ensures that data work is integrated into the broader implementation effort.

• Bachelor's degree in data management, information systems, business, or a related field.
• 3 years of experience in data cleaning or data migration, though a relevant academic background (e.g., coursework or degree in data science, information systems, or a related field) may substitute for some of this experience.
• Strong proficiency in Microsoft Excel (including formulas, lookups, and data cleaning tools).
• Demonstrated ability to identify and resolve data inconsistencies across systems.
• Excellent attention to detail and problem-solving skills.
• Ability to work independently and manage multiple data tasks simultaneously.

• Experience with Oracle Cloud (Core HR, SCM, and/or ERP modules).
• Familiarity with HRIS or ERP systems and their data structures.
• Experience documenting data processes and contributing to process improvement.
• Familiarity with data migration projects in large, global organizations.
• Knowledge of data governance or data quality frameworks.

There are individuals who may use CARE's name and trademark in emails and on websites in an attempt to solicit fees from interested job-seekers. Some examples of these fees are placement fees or immigration processing fees. CARE does not use recruiting or placement agencies that charge candidates an up-front fee of any kind. Occasionally, CARE does employ recruiting or placement agencies to help us identify candidates for specific employment within CARE. If you're contacted by a legitimate recruiting or placement agency, there should be no charge to you. If you suspect that you have been a victim of fraud from someone purporting to be CARE, please contact us at . Please do not email to apply for this position. Instead, click "apply now" below in order to submit your interest.

CARE is an Equal Opportunity employer. We provide equal employment opportunities to all employees and qualified applicants for employment without regard to race, color, sex, religion, ancestry, national origin, age, disability, marital status, or veteran status, or any other characteristics protected under applicable law.

Starting salaries are based on internal equity, candidate experience, and the cost of labor where the job is based. Salaries listed only apply to jobs based in the US.

Sharpen Analytics That Drive Real-World Health Outcomes

In the world of academic medicine, data isn't just numbers-it's knowledge in motion. At the Medical University of South Carolina (MUSC), one of the nation's top academic health systems, information fuels education, drives research, and sharpens patient care. With nearly two centuries of legacy and a decade-long reign as South Carolina's No. 1 hospital, MUSC is where healthcare and higher learning converge. If you're looking to make your skills count in both classrooms and clinics, this is where your impact begins.

What You'll Actually Do

Be part of our client's team as a Data Quality Analyst and make a real impact by validating and improving the data that drives smarter healthcare decisions. You'll work with a skilled team to ensure the accuracy and reliability of crucial supply chain datasets.

The Basics: What to Expect

• Employment Type: Full-time
• Shift: Monday to Friday, 08:00 PM to 05:00 AM (EST)
• Work Setup: Onsite in Ortigas (with potential for Hybrid or WFH transition)

What's In It for You

• Day 1 HMO coverage with free dependent
• Competitive Salary Package
• Night differential pay to maximize your earnings
• Prime office location in Ortigas (Easy access to MRT stations, restaurants, and banks)
• Fixed weekends off
• Fully customized Emapta laptop with peripherals
• Unlimited upskilling through Emapta Academy courses (Want to know more? Visit )
• Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer
• Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more)
• Unlimited opportunities for employee referral incentives across the organization
• Standard government and Emapta benefits
• Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
• Fun engagement activities for employees
• Mentorship and exposure to global leaders and teams
• Career growth opportunities
• Diverse and supportive work environment

What You Bring to the Table

Education & Experience

• Bachelor's degree in Data Analytics, Information Systems, Statistics, or a related field
• 1-3 years of experience in data quality, analytics, or master data, preferably in a healthcare or supply chain environment
• Experience with healthcare or supply chain data (highly desirable)

Technical Proficiency

• Advanced Microsoft Excel skills (INDEX/MATCH, pivot tables, VLOOKUP/XLOOKUP, error checking, conditional logic)
• Familiarity with ERP and supply chain systems such as Workday or Oracle
• Basic knowledge of SQL or Power BI (a plus)

Soft Skills

• Strong attention to detail and a commitment to data integrity and consistency
• Clear written and verbal communication skills for collaborating with global teams
• Proactive mindset in asking questions and resolving ambiguity
• Organized, methodical, and accountable in documenting and tracking work

What You'll Handle: Your Day-to-Day

Data Quality Assurance

• Perform routine audits on supply chain data (pricing, supplier, contract, UOM) using Excel and SharePoint trackers
• Validate pricing strings, packaging units, and manufacturer/supplier part numbers
• Ensure item data integrity across systems such as Workday and Vizient
• Review duplicate entries, invalid descriptions, missing fields, and incorrect match relationships

Error Identification & Resolution

• Analyze and reconcile mismatched or missing OD numbers, pricing discrepancies, and inconsistent metadata
• Flag anomalies in cross-referenced documents or market share data and recommend corrections
• Maintain a log of detected issues and coordinate remediation with MDM Analysts, Contracts, and Category Managers

Reporting & Monitoring

• Generate weekly and monthly reports summarizing data quality trends, error rates, and resolution timelines
• Track audit results across various categories (item master, market share, cross documents, contract alignments)

Collaboration & Documentation

• Communicate clearly and concisely via email and Teams to verify data or request additional information
• Document SOPs for data audit processes and contribute ideas for workflow improvements
• Raise red flags or propose new checkpoints to reduce data integrity risks
• Assist with data validation and cleanup for new item launches, contract updates, and sourcing reviews
• Participate in pre- and post-load audits tied to sourcing or compliance initiatives

Welcome to Emapta Philippines

Join a team that values camaraderie, excellence, and growth. Recognized as one of the Top 20 Dream Companies of Filipinos in 2024, Emapta stands proudly alongside industry giants, offering stability and exciting career opportunities. Your career flourishes here with competitive compensation, international clients, and a work culture focused on collaboration and innovation. Work with global clients across industries, supported by a stable foundation and like-minded professionals passionate about making an impact. We empower your success with opportunities for personal and professional development in an inclusive environment. Apply now and be part of the #EmaptaEra

The AI Revolution Needs Your Brains. Join Us in Ortigas, Pasig City

We're not just looking for someone to label data—we're searching for the critical thinkers and sharp-eyed professionals who will build the foundation for the next generation of smart technology. If you thrive on detail, love a challenge, and want your work to have a clear, measurable impact, let's talk.

Your Mission: Teach the Machines

You will be the ultimate quality gatekeeper, ensuring our AI models learn from perfect data. This requires focus, dedication, and a commitment to precision.

• Precision Labeling: Be the master of detail, labeling and annotating complex datasets exactly to project specifications.

• The Final Check: Verify every piece of data for completeness and accuracy, catching errors that no machine can. You'll be making the crucial corrections and appeals.

• True Collaboration: Work directly with our project leads and clients to ensure everyone shares a crystal-clear vision for data quality.

• Constant Evolution: Never stop learning. You'll continuously apply new tools and techniques to boost your personal efficiency and accuracy.

• Goal Crusher: Meet all your Key Performance Indicators (KPIs) and deliver pristine, annotated data right on schedule.

What We're Looking For (The Qualities That Define Our Team):

We hire for attitude and aptitude. If these sound like you, you're exactly who we need:

• Detail Detective: You are naturally thorough and know that accuracy isn't just a goal—it's the bare minimum.

• The Hustle is Real: You don't quit. When you hit a roadblock, you immediately pivot and find a better, faster solution. We know the work can be repetitive, but you have the fortitude to power through and deliver.

• Deep Empathy: You look beyond the checklist. You understand the client's intent and strategic goal, delivering value over merely following instructions.

• Experience & Skills:

• At least six (6) months of background in Data Annotation or Labelling (a strong advantage).

• Good English communication skills—you can clearly explain issues and solutions.

• Superb computer skills and comfort with new software.

• The flexibility to rock a shifting schedule.

Missing a requirement or two? Don't let that stop you. Your potential is what truly matters