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EY GDS Consulting AI And DATA Informatica CDGC Manager

EY GDS Consulting AI And DATA Informatica CDGC Manager

FP&ADelhi, Delhi, India
30+ days ago
Job description

At EY were all in to shape your future with confidence.

Well 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.
  • 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.

    Required Experience :

    Manager

    Key Skills

    Anti Money Laundering,Entry Level Sales,Asset,Application Engineering,Electrical & Instrumentation

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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