2,702 Vendor Data Governance jobs in India
Head Data Quality & Data Management
Posted today
Job Viewed
Job Description
Lead and mentor a team of data management professionals, providing guidance and fostering a collaborative environment.
- Develop and implement strategic goals for the team, aligned with organizational objectives.
- Ensure continuous professional development and performance management of team members.
- Offer strategic guidance and assistance to different data domains in Siemens Energy and collaborate effectively to enhance the implementation of the data governance framework.
- Oversee the establishment and enforcement of data quality standards and procedures.
- Support implementation of data quality metrics and reporting mechanisms to monitor and improve data accuracy and consistency across domains.
- Collaborate with multi-functional teams to identify data quality issues and their impact on business processes. Drive and support the design and delivery of the projects to address data quality issues.
- Provide thought leadership and industry standard methodologies on the right architecture, tool and governance model. Work on new ideas like using Data Quality for Artificial Intelligence, designing value Quantification approaches, data monetization opportunities etc.
- Develop and manage the organizations master data & reference data strategy, standards and processes to ensure consistency, accuracy, and reliability of master data across all business systems and support the integration and synchronization of reference data across various platforms.
- Work with business to standardize and harmonize master data definitions and processes and identify and document master data and reference data entities.
- Provide thought leadership on the right tools and approaches needed for data management in SE to make us future proof.
What You Bring
- Bachelor s degree in information technology, Data Science, Business Administration, or a related field (Master s degree preferred).
- Minimum of 8 years of experience in data management and data quality roles, in large scale enterprise set up with at least 3 years in a leadership capacity.
- Proven track record of developing and implementing enterprise data quality, data management strategies and initiatives.
- Excellent leadership, communication, and interpersonal skills.
- Strong analytical, problem-solving, and decision-making abilities.
- Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.
- Solid understanding of data quality, master data, and reference data management principles and practices.
- Proficiency with data management tools and technologies, such as SQL, ETL tools, data governance platforms, and MDM solutions like Collibra, Informatica, or Ataccama, or Talend.
- Experience with data modeling, data architecture, and database management systems is preferred.
Skills Required
Data Quality, Data Management, Data Architects, Sql, Data Modeling
Data Quality Lead
Posted 2 days ago
Job Viewed
Job Description
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Data Quality Lead will be responsible for defining, operationalizing, and monitoring data quality capabilities to increase the quality and trust of data across Amgen. This role will be responsible for delivering strategic and tactical data quality and stewardship services. This is a vital role to support Amgen's aspirations for a FAIR data ecosystem that conforms with business needs.
This role will interact with Amgen's data owners and product teams worldwide to monitor and improve data related KPIs and remediation plans.
**Roles & Responsibilities:**
+ Develop and implement data quality standards, metrics, and governance frameworks to ensure consistency, accuracy, and reliability of enterprise data across systems and domains.
+ Lead root cause analysis and resolution of data quality issues by collaborating with data stewards, business stakeholders, and Technology teams to identify, prioritize, and remediate data anomalies.
+ Establish data quality monitoring and reporting processes, including dashboards and KPIs, to track progress, highlight trends, and drive continuous improvement initiatives.
+
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing commercial data quality platforms
+ Technical data management skills with in-depth knowledge of Pharma data standards.
+ Aware of industry trends and priorities and can apply to governance and policies.
+ In-depth knowledge and experience with data masking, data access controls, and technologies to enable a scalable operating model.
**Good-to-Have Skills:**
+ Experience managing industry external data assets (e.g. Claims, EHR, etc.)
+ Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively.
+ Ability to manage projects or departmental budgets.
+ Experience with modelling tools (e.g., Visio).
+ Basic programming skills, experience in data visualization and data modeling tools.
+ Experience working with agile development methodologies such as Scaled Agile.
**Soft Skills:**
+ Ability to build business relationships and understand end-to-end data use and needs.
+ Excellent interpersonal skills (team player). People management skills either in matrix or direct line function.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals
+ Good presentation and public speaking skills.
+ Strong attention to detail, quality, time management and customer focus.
**Basic Qualifications:**
+ Doctorate degree and 2 years of Information Systems experience, or
+ Master's degree and 6 years of Information Systems experience, or
+ Bachelor's degree and 8 years of Information Systems experience, or
+ Associates degree and 10 years of Information Systems experience, or
+ 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.
Data Quality Analyst
Posted 1 day ago
Job Viewed
Job Description
Role Summary:
As a Data Quality Consultant, you will play a crucial role in enhancing data quality across our clients' organizations. You will be responsible for implementing data quality frameworks and solutions using tools such as Collibra, IDMC, etc. ensuring data integrity, accuracy, and accessibility. You will collaborate with cross-functional teams to identify data quality gaps and deliver tailored solutions that support our clients’ business objectives.
Key Responsibilities:
- Data Quality Strategy and Implementation:
- Engage with clients to understand their data quality requirements and business goals.
- Develop and implement data quality frameworks and solutions using tool such as Collibra and IDMC.
- Provide expert advice on industry best practices and emerging trends in data quality management.
- Tool Expertise:
- Utilize DQ tools such as Collibra, Talend, IDMC, etc. to manage and enhance data quality processes.
- Configure and customize Collibra workflows and IDMC data management solutions to meet specific client needs.
- Ensure seamless integration of data quality tools with existing data governance systems.
- Monitoring and Continuous Improvement:
- Establish data quality metrics and KPIs to assess effectiveness and drive continuous improvement.
- Conduct regular audits and assessments to ensure data quality standards are maintained.
- Facilitate workshops and training sessions to promote data quality awareness and best practices.
- Collaboration and Leadership:
- Work collaboratively with data architects, data analysts, IT, legal, and compliance teams to integrate data quality into broader data management initiatives.
- Mentor and guide junior team members, fostering a culture of knowledge sharing and professional growth.
Qualifications:
- Bachelor’s or Master’s degree in Information Systems, Data Management, Computer Science, or a related field.
- Proven experience in data quality management, preferably within a consulting environment.
- Expertise in DQ Tools such as Collibra, Informatica Data Management Cloud (IDMC), etc.
- Strong understanding of data governance frameworks, tools, and technologies.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to influence stakeholders at all levels.
- Relevant certifications in Collibra and Informatica are advantageous.
What We Offer:
- A dynamic and inclusive work environment that values collaboration and innovation.
- Opportunities for professional development and career advancement.
- Competitive salary and benefits package.
- The chance to work with industry-leading clients and cutting-edge technologies.
Data Quality Engineer
Posted 1 day ago
Job Viewed
Job Description
About Client:
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
Job Title: Java Back End Developer
Location : Pan India
Experience : 4-6 Years
Job Typ e: Contract to Hire
Notice Period : Immediate Joiners
Mandatory Skills:
Data Quality,Acceldata,Atlan,modern data catalog and metadata management tools.
Job description:
- Proven experience (e.g., 3+ years) as a Data Quality Engineer or similar role.
- Strong practical experience with Acceldata or similar data quality monitoring and observability platforms.
- Familiarity with Atlan or other modern data catalog and metadata management tools.
- Familiarity with Fivetran / data ingestion application for data integration and understanding its data transformation capabilities.
- Familiarity in using DemandTools for data quality management within Salesforce.
- Solid understanding of data quality principles, methodologies, and best practices.
- Strong SQL skills for data querying and analysis.
- Experience with data profiling and data analysis techniques.
- Excellent analytical, problem-solving, and troubleshooting skills.
- Strong communication and collaboration skills.
- Ability to work independently and manage tasks effectively in a remote environment.
Data Quality Analyst
Posted 2 days ago
Job Viewed
Job Description
Greetings from HCLTECH!
Role: Data Governance- Collibra
Location: Pan India
Experience: 5 Years to 10 Years
Relevant Years in Collibra: 3 Years
Notice Period: Immediate to 30 Days
Collibra Data Quality:
Mandatory
Collibra Data Quality (DQ)
including rule creation, monitoring, and troubleshooting.
Application support, DevOps, or Data engineering.
understanding of Kubernetes concepts including pods, services, deployments, config maps, and secrets
Experience with Docker , Helm, and CI/CD tools (e.g., Jenkins, GitHub Actions).
Proficiency in SQL and basic scripting (e.g., Shell, Python).
Knowledge of JDBC/ODBC connectors , REST APIs, and enterprise data integration patterns
Exposure to cloud environments (AWS , Azure , or GCP ) and managing DQ components in cloud-native architectures
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication.
- Self-driven with a continuous improvement mindset.
- Should be flexible to work in shifts
- Should be open to learn new Tools and Technologies
Interested candidates, please share the resume to , along with the below details
Candidate Name
contact number
Email ID
Total years of experience
Relevant years
Notice Period
Current Company
Current loc
Pref loc
CCTC
ECTC
Data Quality Engineer
Posted 4 days ago
Job Viewed
Job Description
About QualityKiosk Technologies
QualityKiosk Technologies is a leading independent Quality Engineering (QE) and digital transformation provider, helping businesses deliver high-performing, user-friendly applications. Founded in 2000, the company offers services in QA automation, performance assurance, intelligent automation (IA), robotic process automation (RPA), customer experience management, SRE, cloud, data analytics, and more. With a global presence in 25+ countries and a team of 4,000+ professionals, QualityKiosk supports major players across banking, e-commerce, telecom, automotive, insurance, OTT, and pharmaceuticals. Recognized by Forrester, Gartner, and others, it serves 50 of India’s Fortune 100 and 18 of the global Fortune 500 companies. Focused on innovation and rapid execution, the company aims for 5X growth in revenue and workforce over the next five years.
Job Description
Location: Mahape
Experience: 2 years
Early Joiners preferred!
Strategic Responsibilities
- Support the development of the Data Strategy.
- Assist the DQ Lead in implementing data governance frameworks, policies, and standards.
- Help build the Data Governance Office as a center of excellence promoting a data-driven culture.
- Monitor industry and regulatory trends to guide data initiatives.
- Promote data quality and position data as a strategic asset.
Core Responsibilities
- Support reporting on data quality performance and standards.
- Develop and maintain data quality rules and profiling tools using Informatica DQ.
- Contribute to data catalog artifacts (definitions, lineage, standards).
- Maintain organizational reference data.
- Provide expertise on systems and processes to improve data quality.
Additional Accountabilities
- Create data quality dashboards and monitoring tools.
- Support RCA and business teams with data quality analysis.
Communication
- Build strong relationships across business units and support functions.
- Engage with vendors, data partners, consultants, and regulators.
Key KPIs
- Delivery of DQ roadmap
- Reduction in high-priority data issues
- Improved stakeholder satisfaction
- Measurable improvements in data quality
Decision-Making Scope
- Advise on data governance implementation and strategic priorities.
- Recommend budget allocations for data initiatives.
Qualifications & Experience
- Bachelor’s degree, 2+ years in data roles
- Experience in data quality, governance, and financial services.
- Skilled in Informatica DQ, SQL, and dashboard tools.
- Strong analytical, communication, and stakeholder management skills
Data Quality Engineer
Posted today
Job Viewed
Job Description
About Client:
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
Job Title: Java Back End Developer
Location: Pan India
Experience: 4-6 Years
Job Type: Contract to Hire
Notice Period: Immediate Joiners
Mandatory Skills:
Data Quality,Acceldata,Atlan,modern data catalog and metadata management tools.
Job description:
- Proven experience (e.g., 3+ years) as a Data Quality Engineer or similar role.
- Strong practical experience with Acceldata or similar data quality monitoring and observability platforms.
- Familiarity with Atlan or other modern data catalog and metadata management tools.
- Familiarity with Fivetran / data ingestion application for data integration and understanding its data transformation capabilities.
- Familiarity in using DemandTools for data quality management within Salesforce.
- Solid understanding of data quality principles, methodologies, and best practices.
- Strong SQL skills for data querying and analysis.
- Experience with data profiling and data analysis techniques.
- Excellent analytical, problem-solving, and troubleshooting skills.
- Strong communication and collaboration skills.
- Ability to work independently and manage tasks effectively in a remote environment.
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Data Quality Analyst
Posted today
Job Viewed
Job Description
Greetings from HCLTECH!
Role: Data Governance- Collibra
Location: Pan India
Experience: 5 Years to 10 Years
Relevant Years in Collibra: 3 Years
Notice Period: Immediate to 30 Days
Collibra Data Quality:
Mandatory
Collibra Data Quality (DQ)
including rule creation, monitoring, and troubleshooting.
Application support, DevOps, or Data engineering.
understanding of Kubernetes concepts including pods, services, deployments, config maps, and secrets
Experience with Docker, Helm, and CI/CD tools (e.g., Jenkins, GitHub Actions).
Proficiency in SQL and basic scripting (e.g., Shell, Python).
Knowledge of JDBC/ODBC connectors, REST APIs, and enterprise data integration patterns
Exposure to cloud environments (AWS, Azure, or GCP) and managing DQ components in cloud-native architectures
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication.
- Self-driven with a continuous improvement mindset.
- Should be flexible to work in shifts
- Should be open to learn new Tools and Technologies
Interested candidates, please share the resume to , along with the below details
Candidate Name
contact number
Email ID
Total years of experience
Relevant years
Notice Period
Current Company
Current loc
Pref loc
CCTC
ECTC
Data Quality Engineer
Posted today
Job Viewed
Job Description
About QualityKiosk Technologies
QualityKiosk Technologies is a leading independent Quality Engineering (QE) and digital transformation provider, helping businesses deliver high-performing, user-friendly applications. Founded in 2000, the company offers services in QA automation, performance assurance, intelligent automation (IA), robotic process automation (RPA), customer experience management, SRE, cloud, data analytics, and more. With a global presence in 25+ countries and a team of 4,000+ professionals, QualityKiosk supports major players across banking, e-commerce, telecom, automotive, insurance, OTT, and pharmaceuticals. Recognized by Forrester, Gartner, and others, it serves 50 of India’s Fortune 100 and 18 of the global Fortune 500 companies. Focused on innovation and rapid execution, the company aims for 5X growth in revenue and workforce over the next five years.
Job Description
Location: Mahape
Experience: 2 years
Early Joiners preferred!
Strategic Responsibilities
- Support the development of the Data Strategy.
- Assist the DQ Lead in implementing data governance frameworks, policies, and standards.
- Help build the Data Governance Office as a center of excellence promoting a data-driven culture.
- Monitor industry and regulatory trends to guide data initiatives.
- Promote data quality and position data as a strategic asset.
Core Responsibilities
- Support reporting on data quality performance and standards.
- Develop and maintain data quality rules and profiling tools using Informatica DQ.
- Contribute to data catalog artifacts (definitions, lineage, standards).
- Maintain organizational reference data.
- Provide expertise on systems and processes to improve data quality.
Additional Accountabilities
- Create data quality dashboards and monitoring tools.
- Support RCA and business teams with data quality analysis.
Communication
- Build strong relationships across business units and support functions.
- Engage with vendors, data partners, consultants, and regulators.
Key KPIs
- Delivery of DQ roadmap
- Reduction in high-priority data issues
- Improved stakeholder satisfaction
- Measurable improvements in data quality
Decision-Making Scope
- Advise on data governance implementation and strategic priorities.
- Recommend budget allocations for data initiatives.
Qualifications & Experience
- Bachelor’s degree, 2+ years in data roles
- Experience in data quality, governance, and financial services.
- Skilled in Informatica DQ, SQL, and dashboard tools.
- Strong analytical, communication, and stakeholder management skills