Assistant Manager - Data Governance TECH -Data Management MIT

Mashreq; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

Mashreq seeks an AVP - Data Governance & Data Quality within Data & Analytics / Enterprise Data Management. You will lead governance and quality initiatives across the bank, establishing robust policies, controls, and data ownership.

You will coordinate with business and technology, drive adoption, and ensure data is trusted for regulatory reporting, analytics, and AI use cases. This role requires strong stakeholder influence and enterprise-wide program leadership.

Qualifications

• 5+ years in Data Governance, Data Quality, or Enterprise Information Management.
• Experience in banking or regulated industry."
• Proven ability to influence senior stakeholders and drive cross-functional remediation.
• Experience with governance and data quality tools such as Informatica, Power BI/Tableau."

Responsibilities

• Lead implementation of the Data Governance Framework across the Bank.
• Drive adoption of Data Management policies, standards, procedures, and controls.
• Govern Critical Data Elements, metadata, business glossary, data dictionary, lineage, and data catalog adoption.
• Ensure Data Owners, Data Stewards, and System Owners understand and execute responsibilities.
• Track governance maturity and drive continuous improvement across units.

Skills

Data Governance

Data Quality

Stakeholder Management

Regulatory Compliance

Data Stewardship

Tools

Informatica

Power BI

Tableau

DEQ

Job description

Job Description:

AVP - Data Governance & Data Quality

Data & Analytics / Enterprise Data Management

Field

Details

Job Title

AVP - Data Governance & Data Quality

Department

Data & Analytics / Enterprise Data Management

Reports To

Head of Data Management / Head of Data Governance & Quality

Role Focus

Lead Data Governance and Data Quality execution across the Bank, drive stakeholder accountability, and improve data trust, control, and adoption.

Role Purpose

Lead the Bank's Data Governance and Data Quality capabilities by establishing governance practices, driving stakeholder accountability, improving data quality, and ensuring enterprise data is trusted, governed, and fit for business, regulatory, risk, financial reporting, analytics, and AI use cases.

Act as the primary point of coordination for Data Governance and Data Quality across business and technology domains, ensuring adoption of policies, standards, controls, and timely remediation of data-related issues.

Role expectation: This role should run the Data Governance & Data Quality function day-to-day, handle stakeholders confidently, enforce adherence, and escalates only where strategic, executive, or material risk decisions are required.

Key Responsibilities

Data Governance

• Lead implementation of the Data Governance Framework across the Bank.
• Drive adoption of Data Management policies, standards, procedures, and controls.
• Govern Critical Data Elements, metadata, business glossary, data dictionary, lineage, and data catalog adoption.
• Ensure Data Owners, Data Stewards, and System Owners understand and execute their responsibilities.
• Track governance maturity and drive continuous improvement across business units.

Data Quality

• Own the enterprise Data Quality Framework, standards, rules, controls, and monitoring processes.
• Define and track Data Quality KPIs, thresholds, scorecards, and Data Quality Index performance.
• Monitor Data Quality trends and drive timely remediation of critical and recurring issues.
• Lead root-cause analysis for high-impact data quality problems.
• Report Data Quality risks, progress, and remediation status to management and governance forums.

Stakeholder Management & Accountability

• Act as the primary contact for Data Governance and Data Quality matters across Business, Technology, Risk, Compliance, Finance, Operations, and Audit.
• Hold stakeholders accountable for ownership, stewardship, remediation, and adherence to approved standards.
• Challenge stakeholders constructively where data obligations, controls, or remediation actions are not being fulfilled.
• Lead discussions to resolve cross-functional data ownership, lineage, metadata, and quality issues.
• Lead governance forums and drive closure of agreed actions.

Regulatory, Audit & Risk

• Support regulatory reviews, audits, assurance activities, and risk assessments related to data management.
• Drive remediation of Data Governance and Data Quality findings and control gaps.
• Ensure governance evidence, documentation, controls, and reporting remain audit-ready.
• Partner with Risk, Compliance, Finance, Audit, and Technology to strengthen data controls.

Leadership & Capability Building

• Lead and develop Data Governance and Data Quality resources.
• Coach Data Stewards and governance stakeholders across the organization.
• Operate independently in managing priorities, forums, actions, and stakeholder engagements.
• Promote a culture of accountability, ownership, continuous improvement, automation, and practical delivery.

Experience

• 5+ years in Data Governance, Data Quality, Data Management, Risk Data, Regulatory Data, or Enterprise Information Management.
• Strong experience in banking, financial services, or another regulated industry.
• Experience leading enterprise-wide Data Governance and Data Quality programs.
• Proven ability to influence senior stakeholders, enforce accountability, and drive cross-functional remediation.
• Experience with governance and data quality tools such as Informatica, DEQ , Power BI/Tableau, or equivalent platforms.

Core Competencies

Data Governance

Governance frameworks; ownership & stewardship; CDEs; metadata; glossary; lineage; catalog; operating model.

Data Quality

DQ rules & controls; profiling; monitoring; dashboards; DQ Index; root-cause analysis; remediation lifecycle.

Leadership

Stakeholder influence; governance leadership; executive communication; autonomy; problem solving; change leadership.

Success Measures

• Improvement in Enterprise Data Quality Index and reduction in critical data issues.
• Increased coverage of governed Critical Data Elements, metadata, glossary, lineage, and DQ controls.
• Timely closure of Data Governance and Data Quality remediation actions, audit observations, and risk findings.
• Improved stakeholder adherence to Data Management policies, standards, and governance obligations.
• Stronger governance forum discipline, action closure, and management reporting transparency.
• Visible uplift in data ownership, stewardship, adoption, and governance maturity across business units.

Requirements