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data governance specialist

Mind Stream

Job location Qatar:Job Description:<ul><li>Strong knowledge of data governance frameworks and methodologies.</li><li>Proficient in data management and data quality tools.</li><li>Good understanding of azure Data services including Databricks and experience implementing data governance policies and procedure by coordinating with Data team.</li><li>Excellent understanding of data privacy regulations (e.g., GDPR, CCPA).</li><li>Experience with data auditing and compliance monitoring.</li><li>Solid analytical and problem-solving skills.</li><li>Effective communication and interpersonal skills.</li><li>Ability to work collaboratively with cross-functional teams.</li><li>Strong project management abilities.</li><li>Detail-oriented with a focus on accuracy and quality.</li><li>Proficient in data visualization and reporting tools.</li><li>Bachelor&rsquo;s degree in Information Management, Computer Science, or a related field.</li><li>Relevant certifications in data governance or data management are a plus.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in Data Governance or Data Management roles?</li><li>Are you experienced in implementing data governance frameworks and policies?</li><li>Do you have hands-on experience with Azure Data services (e.g., Databricks, Data Factory)?</li><li>Are you familiar with data privacy regulations such as GDPR or CCPA?</li><li>Have you worked with data quality or data management tools?</li><li>What is your current and expected salary?</li><li>Notice period?</li></ul>

Data Governance Specialist -

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
As part of the Data Governance team in Enterprise Analytics (EA) the role will be responsible for implementing and supporting (DG) activities across three main sub-domains: a) Data Protection (Security and Privacy) b) Data Quality Assurance and c) Metadata Management.
Support the implementation DG activities through a network of business Data Custodians (executive level) and business Data Stewards (specialist level) across the organisation, as well as representing DG on behalf of the various business functions across Emirates Group within EA ensuring that data is properly governed and treated as a corporate asset across all Enterprise Data &amp; Analytics Platforms, processes and services. Working across various business pillars of the organization the job holder will support the manger of data governance in capturing, detailing and documenting corporate metric and KPI definitions to support decision making and alignment.
In this role, you will:
<ul><li>Ensure the semantic alignment and consistency of information matrices, data models, metric and KPI definitions across the whole Enterprise through the relevant Data Governance forums, business Data Stewards and Data Custodians and ensure reflection in the Enterprise Data Platform (EDP) core-layer as well as various data-marts (e.g. shared dimensions)
</li><li>Advise and support various business areas (Data Custodians and Data Stewards) on mitigation and resolution of DQ issues resulting from lack of master data management or source data challenges in the business, also re IT interfaces.
</li><li>In conjunction with Data Governance team in Enterprise Analytics change and enablement team, plan, build and execute relevant data governance training to business Data Stewards and Data Custodians, ensuring processes and methods are understood. Provide one to one coaching with network of Data Stewards and Data Custodians, ensuring Data governance concepts are well understood and adhered to.
</li><li>Follow the guidelines related to data governance and data quality, as defined by the Manager Data governance and ensure clear accountability. In addition, the job holder will have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.
</li><li>Support the systematic collection and alignment of Data Protection requirements for all data entrusted to Enterprise Data &amp; Analytics platforms and systems, selection of required Data Protection controls, in particular in close alignment with Emirates Groups Data Privacy Office but also taking into account other protection requirements (e.g. based on competitive sensitivity of data) and support planning and implementation of such controls across all EA products and services as well as the CyberSecurity function.
</li><li>Support the Emirates Groups comprehensive Data Quality (DQ) Assurance process from systematic capturing of all reported DQ issues, root-cause analysis, triage of issues across the various resolution channels (Business Metadata management, Business Metadata change management, defect resolution, etc.), prioritization of defect and change backlogs, etc.
</li><li>Assist in documenting definitions of all relevant metadata for Data &amp; Analytics platforms and systems across all EA products and services, covering e.g. entity relationships (based on business semantics), data lineage, data location, transformation logic, business rules, business glossary, DQ information, business metric and KPI definitions, etc. Support the Manager Data governance in ensuring that these are consistently reflected in Enterprise-wide `core-layer? information models (e.g. 3NF or DataVault2.0) as well as semantic self-service models (e.g. star or snowflake schema, hyper-cubes or similar) of domain specific data-marts.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
Qualifications: Degree or Honours (12+3 or equivalent) in Computer Science, Computer Engineering or related field.
Experience: 8+ years in Information Technology.Other.
Knowledge/skills:
<ul><li>Working with Data &amp; Analytics tools and platforms including Data Warehouses and BI tooling including metadata-driven EDW automation frameworks across pre &amp; post ETL/ELT tasks for achieving greater agility and faster time-to-value in data preparation, development and data governance; Data Science experience is a plus.
</li><li>Capturing and aligning semantic information (business metadata) across diverse business areas, translating into appropriate intermediate formats (e.g. information matrices or similar) and logical Enterprise Data &amp; Information Models including solid understanding of EDW logical information architectures (e.g. Inmon vs. Kimball), logical data modelling approaches (e.g. 3NF, Data Vault, Star Schema, etc.); experience with associated physical data models is a strong plus.
</li><li>Working in diverse international teams, at least partially also in large-scale enterprise data &amp; analytics domains within complex business environments; familiarity with Scaled Agile methodology and modern flexible working practices is a strong plus.
</li><li>In depth knowledge of the Data &amp; Analytics platform stacks from data-lakes, ETL/ELT tooling to BI tools and Data Science Platforms.
</li><li>Knowledge of end-to-end Data Quality assurance processes, issue and root-cause analysis, associated tooling, etc.
</li><li>Knowledge of various data protection controls (encryption, anonymization, tokenization, user access controls, etc.)
</li><li>Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms.
</li><li>Understanding of Master Data Management technology landscape, processes and design principles.
</li><li>Experience in the use of data catalogues and data quality technologies.
</li><li>Experience in managing enterprise data assets in a large, complex organization.
</li><li>Conceptual understanding of current data privacy regulations (e.g. GDPR).
</li><li>Strong relationship building skills.
</li><li>Strong background in business facing roles, ideally on roles related to capture and manage business information needs (reporting, KPI, regulatory, stewardship, etc.)
</li>Strong working knowledge of structured query language (SQL). 
<li>
</li></ul> 
At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. so if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers .</div>

Data Governance Manager

Antons

Key Responsibilities 
<ul>
<li>
 Catalog Implementation: Lead the design, configuration, and implementation of Databricks Unity Catalog to support enterprise-wide data management and governance.
</li>
<li>
 Governance &amp; Compliance: Ensure adherence to data governance frameworks and compliance standards.
</li>
<li>
 Metadata &amp; Lineage: Establish robust metadata management, lineage tracking, classification, and business glossary practices.
</li>
<li>
 Integration: Integrate the data catalog with ETL/ELT pipelines, BI tools, and data platforms to enable seamless data discovery and accessibility.
</li>
<li>
 Tooling &amp; Platforms: Drive adoption of governance tools.
</li>
<li>
 Best Practices: Define and enforce cataloging, metadata, and governance standards, promoting data ownership and stewardship across the organization.
</li>
<li>
 Collaboration: Partner with engineering, analytics, and compliance teams to embed governance into data pipelines and business processes.
</li>
</ul>
 Key Skills &amp; Experience 
<ul>
<li>
 6+ years of experience in Data Management, Data Governance, or Metadata Management.
</li>
<li>
 Mandatory: Hands-on experience with Databricks Unity Catalog.
</li>
<li>
Strong knowledge of data governance frameworks.
</li>
<li>
Expertise in metadata standards, data lineage, classification, and glossary management.
</li>
<li>
Experience with ETL/ELT integration and connecting catalogs to BI tools.
</li>
<li>
Familiarity with data governance platforms.
</li>
<li>
Strong understanding of data privacy and compliance regulations.
</li>
<li>
Excellent communication, stakeholder management, and leadership skills.
</li>
</ul>

Data Catalog Lead

Key Responsibilities
<ul>
<li>
Unity Catalog Implementation: Configure and manage Unity Catalog objects including metastores, catalogs, schemas, tables, views, and volumes in Databricks.</li>
<li>
Access &amp; Security: Develop and automate RBAC/ABAC policies, data masking, and access controls for secure data usage.</li>
<li>
Data Asset Onboarding: Onboard and register data assets from multiple sources with consistent metadata standards.</li>
<li>
Lineage &amp; Integration: Build and maintain data lineage pipelines and ensure catalog integration with ETL/ELT processes.</li>
<li>
Governance Tools: Collaborate on metadata and governance initiatives using tools like Microsoft Purview or equivalent.</li>
<li>
Compliance: Support data privacy and compliance requirements including HIPAA, GDPR, and CCPA.</li>
</ul>
Key Skills &amp; Experience
<ul>
<li>
4+ years of experience in data engineering, data governance, or metadata management.</li>
<li>Hands-on expertise with Databricks Unity Catalog.</li>
<li>Strong knowledge of RBAC/ABAC, access controls, and data masking techniques.</li>
<li>Experience integrating data catalogs with ETL/ELT pipelines.</li>
<li>Familiarity with data governance frameworks and tools such as Microsoft Purview.</li>
<li>Understanding of data privacy regulations (HIPAA, GDPR, CCPA).</li>
<li>Solid skills in SQL, Python, or PySpark for data engineering and automation.</li>
</ul>
 <ul>
</ul>

Data Catalog Engineer

Commercial Bank of Dubai

Principal Accountabilities:
Agent Automation
Copilot Agent Design &amp; Development
<ul>
<li>Architect and build Copilot Agents tailored to enterprise workflows, ensuring alignment with governance, compliance, and security standards.</li>
<li>Configure Agent tool capabilities for multi-step reasoning, orchestration of tasks, and integration with internal data sources (SharePoint, EDMS, BI platforms).</li>
<li>Develop modular prompts and reusable templates for common enterprise use cases (e.g., data demand triage, report rationalization, metadata validation).</li>
</ul>
Advanced Tool Utilization
<ul>
<li>Implement deep-dive research workflows for agents, enabling automated retrieval and synthesis of internal and external knowledge.</li>
<li>Optimize query strategies for accuracy, relevance, and compliance with data privacy policies.</li>
</ul>
Analyst Tool:
<ul>
<li>Enable Copilot Agents to perform structured data analysis, generate insights, and produce dashboards or summaries.</li>
<li>Integrate analytical outputs into governance processes (e.g., SLA tracking, demand trend analysis).</li>
</ul>
Integration &amp; Automation
<ul>
<li>Connect Copilot Agents with enterprise systems (SharePoint, EDMS, ticketing tools) to automate repetitive governance tasks.</li>
<li>Ensure seamless interoperability with existing AI enablement frameworks and data governance platforms.</li>
</ul>
Quality Assurance &amp; Testing
<ul>
<li>Conduct rigorous testing of Copilot Agents for accuracy, reliability, and adherence to DSG policies.</li>
<li>Implement monitoring dashboards for agent performance, error rates, and user adoption metrics.</li>
</ul>
Governance &amp; Compliance
<ul>
<li>Embed policy checks (metadata completeness, access rights, regulatory flags) into agent workflows.</li>
<li>Maintain audit trails for all automated actions performed by Copilot Agents.</li>
</ul>
Continuous Improvement
<ul>
<li>Analyze usage patterns and feedback to refine agent capabilities.</li>
<li>Stay updated on Copilot feature releases and incorporate advanced functionalities (e.g., multi-agent collaboration, contextual memory).</li>
</ul>
Stakeholder Enablement
<ul>
<li>Train business users and data stewards on interacting with Copilot Agents effectively.</li>
<li>Document best practices and create playbooks for agent deployment and lifecycle management.</li>
</ul>
Innovation &amp; Thought Leadership
<ul>
<li>Identify new opportunities for Copilot-driven automation across productivity, governance and reporting domains.</li>
<li>Champion AI adoption by showcasing measurable benefits (time saved, accuracy improvements, SLA compliance).</li>
</ul>
Data Demand
<ul>
<li>Responsible for creating, implementing, and maintaining master and reference data management framework and strategy that aligns with the bank s goals and objectives.</li>
<li>Stay current on emerging trends and technologies in data management and incorporate best practices into bank policies.</li>
<li>Define and implement performance and quality assessment frameworks for Data Demand Management, including metrics, KPI, and other relevant indicators to ensure transparency and operational performance, such as continuous dashboards and reporting.</li>
<li>Evaluate and implement strategies for resource scalability and flexibility to accommodate the bank s evolving data demands.</li>
<li>Prepare comprehensive information packs for senior management, offering insights into the bank s data demand pipelines, data demand trends, and departmental performance.</li>
<li>Collaborate with business units to prioritize data demand requests, aligning them with strategic objectives and ensuring efficient allocation of resources.</li>
<li>Conduct regular reviews and audits of the data demand management processes to identify areas for improvement and implement necessary enhancements to optimize performance.</li>
<li>Run the intake desk; validate business context, regulatory flags, and evidence; route to stewards/owners and BICC/engineering as required.</li>
<li>Enforce the Demand Management guideline; monitor breaches; issue standardized responses; drive corrective actions with stewards/owners.</li>
<li>Maintain the report repository and demand backlog hygiene; ensure proper metadata, lineage, and approval trail per DSG policies.</li>
<li>Prepare Demand insights to the Data Governance Forum, present trends, risks, and actions.</li>
</ul>

Data Demand Management & Automation Lead

Peoplefy Infosolutions

Greetings from Peoplefy Infosolutions !!! We are hiring for one of our reputed MNC client based in Pune. We are looking for candidates with 7 + years of experience as a Sr. Data Governance Consultant. Primary Skills <ul> <li>Data governance </li> <li>Metadata management </li> <li>Collibra</li> <li>Data quality</li> <li>Data profiling</li> <li>Data Lineage</li> <li>Data Classification</li> </ul> Interested candidates for above position kindly share your CVs on priyanka.sar@peoplefy.com with below details - <ul> <li> Experience : </li> <li> CTC : </li> <li> Expected CTC : </li> <li> Notice Period : </li> <li> Location : </li> </ul>

Sr. Data Governance Consultant

BlackStone eIT

Responsibilities<ul> <li>Monitor and maintain data quality standards across various data systems.</li> <li>Implement data governance policies and procedures to ensure compliance and security.</li> <li>Facilitate data integration projects, collaborating with IT and business teams.</li> <li>Conduct regular audits and assessments of data assets to identify and resolve discrepancies.</li> <li>Assist in developing and maintaining documentation for data processes and procedures.</li> <li>Provide training and support to users on data management tools and best practices.</li> <li>Stay informed about industry trends and emerging technologies in data management.</li> </ul>

Data Management Specialist

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