Ernst & Young Advisory Services Sdn Bhd
EY - GDS Consulting - AI And DATA - Informatica CDGC - Manager
Ernst & Young Advisory Services Sdn Bhd, Lima, Ohio, United States
Overview
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Objectives and Purpose The Data Quality Manager is responsible for driving enterprise-wide data quality and governance initiatives using
Informatica Intelligent Data Management Cloud (IDMC), including Cloud Data Quality (CDQ), Cloud Data Governance & Catalog (CDGC) , and related components. The role ensures high levels of data accuracy, completeness, and consistency across platforms by implementing data quality strategies, leading engineering teams, and partnering with governance stakeholders to embed DQ controls into the data ecosystem. Key Accountabilities Data Quality Strategy & Execution
Design and implement
cloud-based data profiling
frameworks to assess data health across critical datasets (distinct counts, nulls, outliers, patterns, etc.). Develop and maintain
data quality rules and specifications
for validity, completeness, conformity, and integrity; enable parameterization and reuse across domains. Implement
exception management workflows , automate notifications, and coordinate remediation with data stewards. Create and manage
cleansing and standardization
assets, including parsing, casing, dictionary lookups, address validation, and matching. Build and publish
scorecards
to monitor KPIs, thresholds, and trends; socialize findings with business and product stakeholders. Define Critical Data Elements (CDEs)
in collaboration with data stewards and align thresholds with governance standards. Manage
reference data
and code lists using
Reference 360 .
Data Governance & Metadata Management
Configure and operate
CDGC and Metadata Command Centre (MCC)
for metadata scans, lineage mapping, glossary curation, and asset classification. Link
DQ scorecards to governed assets
to ensure traceability and transparency across the data lifecycle. Expose
end-to-end lineage
from source to consumption layers, supporting governance and compliance initiatives.
Lead the design, optimization, and maintenance of
data pipelines and integration frameworks
aligned with enterprise ETL and data governance principles. Embed
DQ validation checkpoints
within
CDI mappings and taskflows
to ensure continuous data quality enforcement. Leverage
IICS REST APIs
and
Python
for orchestration, automation, and post-processing of exception extracts. Implement
Cloud API integration patterns
(OAuth, throttling, managed API consumption) to trigger and monitor DQ flows programmatically. Support
deployment automation, migration , and operational enablement across environments. Technical Leadership & Collaboration
Collaborate with enterprise architects, data scientists, and visualization teams to enable advanced analytics, machine learning, and predictive modelling. Mentor and guide technical teams in DQ best practices, performance optimization, and cloud enablement. Promote reusability, standardization, and a culture of continuous improvement across data engineering and governance functions. Partner with data governance councils to align DQ frameworks with enterprise data policies.
Required Qualifications & Experience •
Bachelor’s degree
in computer science, Engineering, or Data Science. •
10+ years of experience
in
Data Quality, Data Governance, or Data Engineering
roles. Informatica IICS / IDMC – Cloud Data Quality, Cloud Data Integration, CDGC, MCC, and Data Marketplace. Cloud Data Profiling ,
Rule Specifications, Exception Tasks, Scorecards, and Cleanse Assets . CDGC configuration
– metadata cataloguing, lineage, glossary, and DQ linkage. CDI mappings & taskflows , parameterization, and dependency orchestration. Cloud APIs
and automation scripting (
Python, REST APIs ). Cloud platforms
(AWS / Azure),
Databricks ,
Spark , and
modern data architecture
(Mesh, Fabric). Data modelling, relational databases, and CI/CD using GitHub / GitLab. Preferred Skills Master’s degree
in data or computer science. Experience with
IDMC MDM SaaS, Data Marketplace , and Unity Catalog for governance and access control. Familiarity with
data privacy and compliance frameworks
(GDPR, HIPAA, etc.). Exposure to
pharma or life sciences domain
preferred. Knowledge of
Snowflake, Redshift, Postgres, and NoSQL
data platforms. Experience with
Airflow /
Tidal
orchestration tools. Proficiency in SQL and data analysis. Key Attributes Strong problem-solving, analytical, and decision-making skills. Excellent communication and stakeholder management across business and technology teams. Proven leadership in managing distributed teams and driving data quality initiatives. Ability to operate in fast-paced environments and manage multiple priorities effectively. Commitment to continuous learning, innovation, and cloud modernization. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. Provider Description Enabled SAP as service provider "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
#J-18808-Ljbffr
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Objectives and Purpose The Data Quality Manager is responsible for driving enterprise-wide data quality and governance initiatives using
Informatica Intelligent Data Management Cloud (IDMC), including Cloud Data Quality (CDQ), Cloud Data Governance & Catalog (CDGC) , and related components. The role ensures high levels of data accuracy, completeness, and consistency across platforms by implementing data quality strategies, leading engineering teams, and partnering with governance stakeholders to embed DQ controls into the data ecosystem. Key Accountabilities Data Quality Strategy & Execution
Design and implement
cloud-based data profiling
frameworks to assess data health across critical datasets (distinct counts, nulls, outliers, patterns, etc.). Develop and maintain
data quality rules and specifications
for validity, completeness, conformity, and integrity; enable parameterization and reuse across domains. Implement
exception management workflows , automate notifications, and coordinate remediation with data stewards. Create and manage
cleansing and standardization
assets, including parsing, casing, dictionary lookups, address validation, and matching. Build and publish
scorecards
to monitor KPIs, thresholds, and trends; socialize findings with business and product stakeholders. Define Critical Data Elements (CDEs)
in collaboration with data stewards and align thresholds with governance standards. Manage
reference data
and code lists using
Reference 360 .
Data Governance & Metadata Management
Configure and operate
CDGC and Metadata Command Centre (MCC)
for metadata scans, lineage mapping, glossary curation, and asset classification. Link
DQ scorecards to governed assets
to ensure traceability and transparency across the data lifecycle. Expose
end-to-end lineage
from source to consumption layers, supporting governance and compliance initiatives.
Lead the design, optimization, and maintenance of
data pipelines and integration frameworks
aligned with enterprise ETL and data governance principles. Embed
DQ validation checkpoints
within
CDI mappings and taskflows
to ensure continuous data quality enforcement. Leverage
IICS REST APIs
and
Python
for orchestration, automation, and post-processing of exception extracts. Implement
Cloud API integration patterns
(OAuth, throttling, managed API consumption) to trigger and monitor DQ flows programmatically. Support
deployment automation, migration , and operational enablement across environments. Technical Leadership & Collaboration
Collaborate with enterprise architects, data scientists, and visualization teams to enable advanced analytics, machine learning, and predictive modelling. Mentor and guide technical teams in DQ best practices, performance optimization, and cloud enablement. Promote reusability, standardization, and a culture of continuous improvement across data engineering and governance functions. Partner with data governance councils to align DQ frameworks with enterprise data policies.
Required Qualifications & Experience •
Bachelor’s degree
in computer science, Engineering, or Data Science. •
10+ years of experience
in
Data Quality, Data Governance, or Data Engineering
roles. Informatica IICS / IDMC – Cloud Data Quality, Cloud Data Integration, CDGC, MCC, and Data Marketplace. Cloud Data Profiling ,
Rule Specifications, Exception Tasks, Scorecards, and Cleanse Assets . CDGC configuration
– metadata cataloguing, lineage, glossary, and DQ linkage. CDI mappings & taskflows , parameterization, and dependency orchestration. Cloud APIs
and automation scripting (
Python, REST APIs ). Cloud platforms
(AWS / Azure),
Databricks ,
Spark , and
modern data architecture
(Mesh, Fabric). Data modelling, relational databases, and CI/CD using GitHub / GitLab. Preferred Skills Master’s degree
in data or computer science. Experience with
IDMC MDM SaaS, Data Marketplace , and Unity Catalog for governance and access control. Familiarity with
data privacy and compliance frameworks
(GDPR, HIPAA, etc.). Exposure to
pharma or life sciences domain
preferred. Knowledge of
Snowflake, Redshift, Postgres, and NoSQL
data platforms. Experience with
Airflow /
Tidal
orchestration tools. Proficiency in SQL and data analysis. Key Attributes Strong problem-solving, analytical, and decision-making skills. Excellent communication and stakeholder management across business and technology teams. Proven leadership in managing distributed teams and driving data quality initiatives. Ability to operate in fast-paced environments and manage multiple priorities effectively. Commitment to continuous learning, innovation, and cloud modernization. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. Provider Description Enabled SAP as service provider "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
#J-18808-Ljbffr