EY - GDS Consulting - AI And DATA - Informatica CDGC - Manager

3 - 7 years

15 - 19 Lacs

Posted:2 days ago| Platform: Naukri logo

Apply

Work Mode

Work from Office

Job Type

Full Time

Job Description


 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.
  •  Data Engineering & Automation  
  • 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  
  •  Bachelors degree   in computer science, Engineering, or Data Science.
  •  10+ years of experience   in  Data Quality, Data Governance, or Data Engineering   roles.
  • Proven expertise in:

  •  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.
  •  Reference 360   code lists, crosswalks, lifecycle management.
  •  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  
  •  Masters degree   in data or computer science.
  • Certifications
  •  Databricks Certified Data Engineer Professional, AWS Certified Data Engineer   Associate.
  • 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.

  • .jobDisplay { padding-top40px;}div#search-wrapper { displaynone;}
  • Mock Interview

    Practice Video Interview with JobPe AI

    Start Python Interview
    cta

    Start Your Job Search Today

    Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

    Job Application AI Bot

    Job Application AI Bot

    Apply to 20+ Portals in one click

    Download Now

    Download the Mobile App

    Instantly access job listings, apply easily, and track applications.

    coding practice

    Enhance Your Python Skills

    Practice Python coding challenges to boost your skills

    Start Practicing Python Now
    EY logo
    EY

    Professional Services

    London

    RecommendedJobs for You