Manager_Data Governance_Data and Analytics

8 - 10 years

25 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

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About the role We are seeking an experienced Data Goverce Manager to lead and manage enterprisewide data goverce initiatives within our organization. The ideal candidate will have a strong background in developing and implementing data goverce frameworks, metadata management, and data quality policies aligned with industry standards and regulatory requirements. This role demands collaboration with senior stakeholders, crossfunctional teams, and global partners to drive data goverce maturity and ensure compliance across business units. In This Role, you will Develop, implement, and manage data goverce frameworks, metadata management processes, and data quality policies to ensure data integrity and compliance. Define and enforce data goverce principles, standards, and best practices aligned with industry regulations such as BCBS239, GDPR, CCPA, etc. Collaborate with teams responsible for Master Data Management, Data Privacy, and Security to ensure cohesive data management strategies. Drive implementation and continuous improvement of the Data Goverce tool primarily Collibra, Informatica CDGC, Alation etc Engage and communicate effectively with senior stakeholders and crossfunctional teams to understand data goverce requirements and resolve complex data issues. Represent data goverce interests within global teams, steering committees, and forums to align on goverce strategies and challenges. Willing to work in a hybrid working model

Mandatory skill sets

Must have knowledge, skills and experiences Deep understanding and substantial experience in data goverce, metadata management, master data management and data quality frameworks, policies, and processes. Strong knowledge of data management industry standards and regulations including BCBS239, GDPR, and CCPA. Extensive handson experience with Collibra/ Informatica CDGC/Alation/ any other DG tool, including operating model design and working with Catalog connectors. Experience in running Data Goverce Literacy & Awareness programs. Understanding of CRM Salesforce Data & experience in how to catalog & govern it.

Experience collaborating within global teams, steering committees, and goverce forums to address and resolve datarelated issues.

Preferred skill sets

Good to have knowledge, skills and experiences Certifications in Data Goverce or related fields such as DAMACDMP, DCAM, CDMC, or toolspecific certifications. Familiarity with other Data Goverce tools such as Collibra, Informatica, Alation, Talend, Microsoft Purview, Atlan, Solidatus, etc. Experience contributing to RFPs, internal/external Proof of Value (POV), Accelerator development, and other data goverce frameworks.

Years of experience required 8 to 10 years of experience.

Education qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education

Degrees/Field of Study required Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills

Metadata Management

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling

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