data governance lead

University Federal Credit Union

<p></p><div><p><b>Job Summary</b></p>
<p>
The Data Governance Lead designs, implements, and maintains a comprehensive data governance framework that ensures data is treated as a strategic asset across the organization. This role collaborates with the Vice President of Insights and Innovation, Data Product Owner, and agile team members to set standards, policies, and processes for data management, quality, and compliance. The Data Governance Lead empowers data stewards, drives accountability, and supports the organization&rsquo;s vision for data democratization, actionable insights, and predictive analytics.</p>
<p>
The Data Governance Lead reports to the Vice President of Insights and Innovation.</p>
<p><b>
Essential Functions</b></p>
<p><b>
Data Governance Framework Development</b></p>
<ul>
<li>Design and implement a data governance framework that establishes clear standards, policies, and processes for data management, supporting a single source of truth and predictive analytics.</li>
<li>Partner with the VP of Insights and Innovation and Data Product Owner to align governance with organizational goals.</li>
<li>Establish and lead a Data Governance Council to drive alignment, accountability, and adoption of governance policies across business and IT stakeholders.</li></ul><br>
<p></p>
<p><b>
Data Steward Empowerment</b></p>
<ul>
<li>Define roles, responsibilities, and training for data stewards, enabling accountability for data quality, usage, and compliance.</li>
</ul>
<p><b>Standard Setting</b></p>
<ul>
<li>Develop and enforce data standards, including naming conventions, formats, metadata management, and quality metrics.</li>
</ul>
<p><b>Data Cleanup &amp; Reformatting</b></p>
<ul>
<li>Lead efforts to assess and reformat existing data to align with governance standards and modern platforms.</li>
</ul>
<p><b>Compliance &amp; Risk Management</b></p>
<ul>
<li>Ensure adherence to financial industry regulations and partner with Information Security to mitigate risks related to data security, privacy, and compliance.</li>
</ul>
<p><b>Agile Collaboration</b></p>
<ul>
<li>Work within an agile pod to integrate governance practices into data product development, supporting member journey frameworks and predictive analytics.</li>
</ul>
<p><b>Data Quality Assurance</b></p>
<ul>
<li>Implement processes for data profiling, validation, and cleansing to support actionable insights and accurate performance measurement.</li>
</ul>
<p><b>Stakeholder Engagement</b></p>
<ul>
<li>Collaborate with business units, IT, and other stakeholders to communicate governance policies and promote a culture of data accountability.</li>
<li>Collaborate closely with IT and Data Architecture teams to ensure governance standards align with technical architecture and enterprise data strategies.</li></ul><br>
<p></p>
<p><b>
Data Democratization Support</b></p>
<ul>
<li>Ensure governance supports simplified, accessible data structures for business users.</li>
</ul>
<p><b>Continuous Improvement</b></p>
<ul>
<li>Monitor industry trends and refine the governance framework to support the shift from static reporting to predictive analytics.</li>
</ul>
<p><b>Documentation &amp; Training</b></p>
<ul>
<li>Maintain documentation of governance policies and provide training to ensure consistent adoption and compliance.</li>
</ul>
<p><b>Other</b></p>
<ul>
<li>Adhere to all company policies, procedures and business ethics codes.</li>
<li>Complete required regulatory training as assigned.</li>
<li>Maintain strict adherence and compliance to all laws, rules, regulations, and internal controls specific to the role, including but not limited to Bank Secrecy Act, Anti-Money Laundering, USA Patriot Act, OFAC and Fair Lending regulations.</li></ul><br>
<p></p>
<p><b>
Knowledge/Skills/Abilities</b></p>
<ul>
<li>Excellent communication skills, able to translate governance policies for business and technical teams across all levels of leadership within the organization.</li>
<li>Strong understanding of data governance principles: data quality, metadata management, data lineage, and compliance.</li>
<li>Familiarity with Python or similar scripting languages for data profiling and quality checks.</li>
<li>Experience with data governance tools (Collibra, Alation, Informatica, Purview) and platforms (Databricks, cloud environments).</li>
<li>Proficiency in SQL or similar tools for data profiling and quality assurance.</li>
<li>Leadership and collaboration skills for agile environments.</li>
<li>Analytical mindset to identify gaps and propose solutions.</li>
<li>Ability to manage complex projects in a fast-paced environment.</li>
<li>Ability to change mindset, be a thought partner in driving a data culture.</li>
<li>Ability to establish data governance across the organization to drive member impact.</li></ul><br>
<p></p>
<p><b>
Competencies</b></p>
<ul>
<li>Demonstrating Member Obsession</li>
</ul><ul><li>Puts themselves in the Member&rsquo;s shoes</li>
<li>Looks for friction points</li>
<li>Makes it personalized and easy</li>
</ul><ul><li>Demonstrating Performance Excellence</li>
</ul><ul><li>Sets standards for elevating excellence</li>
<li>Ensures elevated quality</li>
<li>Takes responsibility</li>
<li>Conducts continuous improvement</li>
</ul><ul><li>Demonstrating Innovation</li>
</ul><ul><li>Challenges current thinking</li>
<li>Approaches change with a positive mindset</li></ul><br>
<p></p>
<p><b>
Experience</b></p>
<p><b>
Minimum Qualifications</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Data Management, Information Systems, Business Administration, or related field.</li>
<li>5+ years in data governance, data management, or related role, with a focus on governance frameworks.</li>
<li>Hands-on experience working with enterprise data warehouses, preferably cloud-based.</li>
<li>Proven experience leading data cleanup or reformatting initiatives.</li>
<li>Experience in agile environments and cross-functional collaboration.</li>
<li>2+ years in financial services (banking, insurance, fintech).</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Master&rsquo;s degree</li>
<li>Certified Data Management Professional (CDMP) or equivalent.</li>
<li>DAMA Certification<br>
CIPP/US or CIPM (Privacy certifications)</li>
<li>Certifications in data governance tools or cloud-based data warehousing platforms.</li></ul><br>
<p></p>
<p><b>
Physical Demands</b></p>
<p>
The physical demands described are representative of those that an employee must meet, with or without accommodation, to perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p>
<p><b>
Frequent</b></p>
<ul>
<li>While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle or feel; reach with hands and arms; and talk or hear.</li>
<li>Specific vision abilities required by this job include close vision, distance vision, peripheral vision and ability to adjust focus.</li>
<li>Extensive use of the telephone and virtual communications platforms, requiring the ability to effectively listen and accurately explain complex information.</li></ul><br>
<p></p>
<p><b>
Work Environment</b></p>
<p>
The work environment characteristics described are representative of those an employee encounters while performing the essential functions of this job.</p>
<ul>
<li>This position requires frequently working onsite at UFCU Plaza in Austin, Texas.</li>
<li>This position may involve periodic stressful conditions.</li>
<li>May occasionally require an adjusted work schedule, overtime, and evening/weekend hours.</li>
<li>Public contact position, requiring appropriate professional appearance.</li>
<li>Frequent computer use at a workstation up to two hours at a time.</li>
<li>The noise level in the work environment is usually quiet.</li>
</ul>
<p>#INDUFCU</p><p></p><p>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</p></div>

Data Governance Lead

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>The Data Governance Foundation Lead Analyst VP is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. The focus of this role may be on one or more of the following areas: assisting in identification, measurement and reporting, data policy adoption and compliance, data controls framework performance and issue management process, and regulatory and audit response and action tracking.</p><p></p><p>
This role requires someone who is dynamic, flexible, and can easily respond to quickly changing needs. The candidate must have the ability to handle ambiguity and complexity and be able to deliver on multiple responsibilities. Developed communication and diplomacy skills are required in order to guide, influence and convince others.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li>Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework</li><li>
Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes</li><li>
Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting</li><li>
Support and coordinate with business lines and global functions on enterprise Data Governance strategy roll out, including new Data risk taxonomy and associated changes to key risk indicators and control framework</li><li>
Gather and synthesize metrics on existing Data Governance and/or Data Risk and Controls principles, policies, practices and standards, e.g., understanding industry best practices</li><li>
Produce recommendations for enterprise-wide guiding principles, policies, processes and practices</li><li>
Determine requirements for and prioritize development of new enterprise-wide principles, policies, processes and practices as needed</li><li>
Develop and manage approach for measuring adoption of principles, policies, processes and practices</li></ul><p></p><p><b>
Qualifications:</b></p><ul><li>
6+ years relevant experience in a Data Governance/ Data Management/ Process Engineering or related area</li><li>
Advanced understanding of Project Management methodologies and tools</li><li>
Requires basic commercial awareness</li><li>
Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders</li><li>
Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences</li></ul><p></p><p><b>
Education:</b></p><ul><li>
Bachelor's/University degree, Master's degree preferred</li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Data Governance<p>
-</p><p><b>
Job Family:</b></p>
Data Governance Foundation<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Tampa Florida United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$113,840.00 - $170,760.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Constructive Debate, Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy and Procedure, Program Management, Risk Controls and Monitors, Risk Management.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Oct 31, 2025<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Governance Foundation Lead Analyst

Discovered MENA

<div>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Muscat, Oman (On-site)
 </p>
 <p>
  ⏰
  <strong>
   Schedule:
  </strong>
  Sunday - Thursday, 8:00 AM &ndash; 5:00 PM
 </p>
 <p>
  📅
  <strong>
   Contract:
  </strong>
  8-month engagement + optional 12-month operational extension
 </p>
 <p>
  <br/>
 </p>
 <p>
  In this role you will lead the development, implementation, and monitoring of data governance frameworks and compliance standards. The role ensures data management best practices align with DAMA principles, supports data policy formulation, compliance audits, metadata management, and staff training.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Conduct data audits and compliance assessments, identifying areas for improvement.
  </li>
  <li>
   Provide expert guidance on data classification, access control, and lifecycle management.
  </li>
  <li>
   Lead adoption of
   <strong>
    DAMA DMBOK
   </strong>
   -aligned best practices.
  </li>
  <li>
   Deliver training sessions to enhance data governance awareness.
  </li>
  <li>
   Collaborate with IT, Legal, and Business stakeholders to enforce governance frameworks.
  </li>
  <li>
   Prepare regular reports and updates for senior management and audit committees.
  </li>
  <li>
   Drive continuous improvement in data management maturity and compliance.
  </li>
  <li>
   Ensure compliance with data privacy, protection, and management regulations.
  </li>
  <li>
   Establish a data stewardship model and oversee metadata management and lineage.
  </li>
  <li>
   Develop, implement, and maintain data governance policies, standards, and procedures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical / Functional skills:
  </strong>
 </p>
 <ul>
  <li>
   Data governance frameworks (DAMA DMBOK)
  </li>
  <li>
   Metadata management and data lineage tools
  </li>
  <li>
   Familiarity with regulatory compliance (GDPR, data protection standards)
  </li>
  <li>
   Familiarity with policy formulation and audit reporting
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum requirements:
  </strong>
 </p>
 <ul>
  <li>
   Minimum 10 years of experience in data governance, compliance, or related domains
  </li>
  <li>
   Bachelor&rsquo;s degree in Information Management, Computer Science, or related field
  </li>
  <li>
   Certified Data Management Professional (CDMP) &ndash;
   <em>
    Mandatory
   </em>
  </li>
  <li>
   English (mandatory); Arabic (advantageous)
  </li>
 </ul>
 <p>
 </p>
</div>


Data Governance and Compliance Expert

Oracle

<div><p>The role provides strategic &amp; operational analysis in support of complex business initiatives at scale for Oracle Health Foundations Operations &amp; Analytics functions, but includes:
</p><p>Team Focus:
</p><ul><li>Data Management, Governance, and Quality programs
</li><li>BI &amp; Analytics to support Change, CAPA/Problem Management, OpsBar, Ops Maturity, Incident Management, and other Executive facing analytics
</li><li>POC / MVP programs to leverage AI/ML/LLM to drive business value from structured and unstructured data
</li><li>Defining business KPIs and Metrics to enable leadership decisions through data
</li><li>Process improvement initiatives in Oracle Health Operations
</li></ul><p>Functional Areas:
</p><ul><li>Take large, complex projects and break them down into manageable milestones and deliver against tight deadlines
</li><li>Gather complex, sometimes unstructured, data inputs from multiple sources (both internally and externally) and identify new data sources that will enhance business outcomes and support strategic and tactical objectives
</li><li>Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance the business needs versus technical constraints.
</li><li>Build relationships and collaborate globally with stakeholders and partners to deliver outcomes across the organization, ensuring a shared understanding of progress and performance
</li><li>Ensure that stated and unstated goals, business issues, concerns and priorities are surfaced and understood</li></ul></div>
<br><div><p><b>Key Responsibilities<br>
</b></p><div><br>
<ul><li>Lead and mature the Data Governance &amp; Quality program, ensuring consistent trustworthy data models and analysis across Oracle Health Foundations.
</li><li>Lead the development lifecycle for new Executive facing analytics in the areas of Change, Problem (CAPA), Incident, Maturity, and Support pillars
</li><li>Partner with Operations pillar programs (Change, Problem, OpsBar, Ops Wellness, Post-Incident Review) and platform teams to drive automation and improve overall data quality and availability.
</li><li>Develop BI, Data Engineering, and Analytics Standards, across the team and organization.
</li><li>Drive programs to enable &lsquo;self-service&rsquo; reporting/dashboards utilizing standard data models, documentation, and data catalogue.
</li><li>Facilitate cross-functional reviews with leadership to ensure high-risk or recurring issues are addressed through structured improvement plans.
</li><li>Track and report program health, trends, and outcomes to executive stakeholders, identifying systemic risks and opportunities for process optimization.
</li><li>Partner with Quality, Change Management, and Service Reliability teams to embed preventive controls and promote a culture of continuous improvement.<br>
</li></ul></div><p><br>
<b>Required Qualifications<br>
</b></p><div><br>
<ul><li>Bachelor&rsquo;s degree in Engineering, Business, or a related field (or equivalent experience).
</li><li>7+ years of experience in program or process management within software, healthcare, or regulated environments.
</li><li>Demonstrated expertise in data management, data analysis, technical program management, and leadership engagement.
</li><li>Previous experience build and/or managing a data quality and governance function
</li><li>Working knowledge of Oracle cloud native BI/Analytics tools
</li><li>Strong analytical and problem-solving skills with ability to synthesize complex data into actionable insights.
</li><li>Excellent communication, facilitation, and stakeholder management skills across technical and leadership audiences.<br>
</li></ul></div><p>-</p></div>

Program Manager 4-ProdDev

Riyadh Air

<div>About the Company:
<div>
Riyadh Air (RX), headquartered in the Saudi Capital, is the new national airline that&rsquo;s shaping the future of flying. It seeks to lead the aviation industry by transforming Saudi Arabia into a global aviation and trade hub &ndash; a digitally native airline that will connect the kingdom to more than 100 destinations.
</div>About the Role:
<p>
Are you ready to lead the architecture and design of a secure, scalable, and sustainable data ecosystem using Microsoft Fabric, AKS, and robust governance frameworks?</p><p></p><p><br>
This role will shape unified Guest 360 profile solutions by integrating diverse data sources and leveraging graph databases to unlock customer insights and drive innovation.</p><p></p><p><br>
You will drive compliance with data privacy regulations, advocate for top tier data management practices, and provide strategic leadership across solution delivery, platform optimization, and enterprise wide data initiatives.</p><p></p><p><br>
Embedded within the Enterprise Architecture and Technology Strategy function, this role will align data architecture strategy with business priorities, digital transformation, and regulatory requirements to support agile decision making.</p><p></p><p><i><br>
Be part of the team shaping aviation through data informed insights and architectural excellence.</i></p><br>
<p></p>
About You:
<p>
Degree qualified with a minimum of 10 years of experience in Enterprise Data Architecture.</p><p>
Deep knowledge in relational databases (e.g. PostgreSQL, Oracle), No-SQL DB (MongoDB) and Graph databases (e.g. Neo4j)</p><p></p><p><br>
Good understanding of change data capture process and tools.</p><p></p><p><br>
Certifications in leading cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), along with expertise in Kubernetes and integration tools, are highly desirable. Familiarity with architecture frameworks like TOGAF and SAFe is also preferred.</p><p></p><p><br>
Proven track record in delivering customer profile management and Master Data Management (MDM) solutions at scale.</p><p></p><p><br>
Good knowledge and experience in AI/ML and Agentic AI is desired.</p><p></p><p><br>
We&rsquo;d love to hear from you even more if you have hands-on experience with data governance frameworks, metadata management, data cataloguing tools and AI/ML</p><p>
This is your opportunity to shape the future of air travel. Bring your best and show us why you can own this position within Riyadh Air.</p><p>
Please submit your application by clicking on the Apply button. Our Talent Acquisition team will be reviewing applications shortly.</p></div><p></p>

Enterprise Data Architect

Commercial Bank of Dubai

<div><div><div><div><div>Description</div>
<div><div><b>Job Purpose:</b></div><div>
We are seeking an experienced Lead in Data Demand Management &amp; Automation Lead to drive critical elements of the data strategy. This role involves administering role-based access to data across the bank. The Lead educates and supports data stewards and users, liaises with vendors for issue resolution, and communicates updates to stakeholders. This person is responsible for demand management and overseeing, collating, prioritizing data and reporting demand across the bank. This person will enable data-driven decision-making processes and facilitate overall effective data governance in the bank.</div><div></div><div><br>
Critically, and this aspect of the role is expected to grow as Demand Management becomes automated and DQ remediation becomes BAU, the role holder is expected to have the ability to design/build lightweight Copilot automations that enforce data governance controls, improve productivity across various functions in the bank, and democratize the implementation of agents&mdash;while formally reporting under Data Governance</div><div></div><div><b><br>
Principal Accountabilities:</b></div><div></div><div><b><br>
Agent Automation</b></div><div></div><div><b><br>
Copilot Agent Design &amp; Development</b></div><div>
o Architect and build Copilot Agents tailored to enterprise workflows, ensuring alignment with governance, compliance, and security standards.</div><div>
o Configure Agent tool capabilities for multi-step reasoning, orchestration of tasks, and integration with internal data sources (SharePoint, EDMS, BI platforms).</div><div>
o Develop modular prompts and reusable templates for common enterprise use cases (e.g., data demand triage, report rationalization, metadata validation).</div><div></div><div><b><br>
Advanced Tool Utilization</b></div><div>
o Implement deep-dive research workflows for agents, enabling automated retrieval and synthesis of internal and external knowledge.</div><div>
o Optimize query strategies for accuracy, relevance, and compliance with data privacy policies.</div><div></div><div><b><br>
Analyst Tool:</b></div><div>
o Enable Copilot Agents to perform structured data analysis, generate insights, and produce dashboards or summaries.</div><div>
o Integrate analytical outputs into governance processes (e.g., SLA tracking, demand trend analysis).</div><div></div><div><b><br>
Integration &amp; Automation</b></div><div>
Connect Copilot Agents with enterprise systems (SharePoint, EDMS, ticketing tools) to automate repetitive governance tasks.</div><div>
o Ensure seamless interoperability with existing AI enablement frameworks and data governance platforms.</div><div></div><div><b><br>
Quality Assurance &amp; Testing</b></div><div>
o Conduct rigorous testing of Copilot Agents for accuracy, reliability, and adherence to DSG policies.</div><div>
o Implement monitoring dashboards for agent performance, error rates, and user adoption metrics.</div><div></div><div><b><br>
Governance &amp; Compliance</b></div><div>
o Embed policy checks (metadata completeness, access rights, regulatory flags) into agent workflows.</div><div>
o Maintain audit trails for all automated actions performed by Copilot Agents.</div><div></div><div><b><br>
Continuous Improvement</b></div><div>
o Analyze usage patterns and feedback to refine agent capabilities.</div><div>
o Stay updated on Copilot feature releases and incorporate advanced functionalities (e.g., multi-agent collaboration, contextual memory).</div><div></div><div><b><br>
Stakeholder Enablement</b></div><div>
o Train business users and data stewards on interacting with Copilot Agents effectively.</div><div>
o Document best practices and create playbooks for agent deployment and lifecycle management.</div><div></div><div><b><br>
Innovation &amp; Thought Leadership</b></div><div>
o Identify new opportunities for Copilot-driven automation across productivity, governance and reporting domains.</div><div>
o Champion AI adoption by showcasing measurable benefits (time saved, accuracy improvements, SLA compliance).</div><div></div><div><b><br>
Data Demand</b></div><div></div><div><br>
Responsible for creating, implementing, and maintaining master and reference data management framework and strategy that aligns with the bank&rsquo;s goals and objectives.</div><div></div><div><br>
Stay current on emerging trends and technologies in data management and incorporate best practices into bank policies.</div><div></div><div><br>
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.</div><div></div><div><br>
Evaluate and implement strategies for resource scalability and flexibility to accommodate the bank&rsquo;s evolving data demands.</div><div></div><div><br>
Prepare comprehensive information packs for senior management, offering insights into the bank&rsquo;s data demand pipelines, data demand trends, and departmental performance.</div><div></div><div><br>
Collaborate with business units to prioritize data demand requests, aligning them with strategic objectives and ensuring efficient allocation of resources.</div><div></div><div><br>
Conduct regular reviews and audits of the data demand management processes to identify areas for improvement and implement necessary enhancements to optimize performance.</div><div></div><div><br>
Run the intake desk; validate business context, regulatory flags, and evidence; route to stewards/owners and BICC/engineering as required.</div><div></div><div><br>
Enforce the Demand Management guideline; monitor breaches; issue standardized responses; drive corrective actions with stewards/owners.</div><div></div><div><br>
Maintain the report repository and demand backlog hygiene; ensure proper metadata, lineage, and approval trail per DSG policies.</div><div></div><div><br>
Prepare Demand insights to the Data Governance Forum, present trends, risks, and actions.</div></div>
</div></div><div><div><div>Requirements</div>
<div><div><b>Education and Experience:</b></div><div></div><div><br>
7&ndash;10 years in data governance/BI operations; hands&#8209;on with intake/triage, metadata, lineage, and reporting.<br>
</div><div></div><br>
<div>Experience building Copilot or prompt&#8209;based automations</div><div></div><div><br>
 Strong stakeholder management across stewards, BICC, comfort presenting at governance forums</div><div></div><div><br>
5+ years of banking or financial services experience.</div><div></div><div><br>
Proficiency in metadata technologies, data cataloging tools, and a strong understanding of data modeling for banks.</div><div></div><div><br>
Excellent communication and relationship-building skills, with a high level of business acumen in banking industry practices.</div><div></div><div><br>
Knowledge of regulatory requirements related to data and demand management.</div><div>
</div><div>Knowledge of at least 1 data cataloging tool with practical experience in overseeing and implementing it for a large organization preferably in the banking industry.</div><div></div><div><br>
Hands-on proficiency in at least one of these tools: Microsoft Azure Purview, Informatica IDQ, Informatica IICS, or Collibra.</div></div></div></div></div></div><p></p>

Data Demand Management & Automation Lead

Ghobash Group

<p><strong>1. Digital Platforms</strong></p> <ul> <li>Oversee the end-to-end development of in-house applications that support business operations and process optimization. Note: these support applications may integrate with core business technologies/applications.</li> <li>Lead the implementation of digital automation solutions using Robotic Process Automation (RPA) and low-code/no-code platforms.</li> <li>Work closely with business units to identify automation opportunities and translate them into scalable digital solutions.</li> <li>Ensure digital platforms are secure, user-centric, and aligned with enterprise architecture and governance standards.</li> <li>Manage cross-functional development teams and external technology partners to deliver high-impact solutions.</li> </ul> <p><strong>2. Data &amp; Analytics</strong></p> <ul> <li>Support the development of a unified data strategy, including data governance, architecture, and lifecycle management.</li> <li>Oversee the group s data lake &amp; warehouse ecosystem, ensuring data integrity and seamless integration with data source systems.</li> <li>Drive the adoption of business intelligence tools and self-service analytics across group companies.</li> <li>Collaborate with stakeholders to define KPIs and build dashboards that enable data-driven decision-making.</li> <li>Manage the data science team to ensure data quality, consistency, and accessibility across platforms.</li> <li>Develop a roadmap for the introduction of AI into business intelligence tools</li> </ul> <p><strong>3. Artificial Intelligence</strong></p> <ul> <li>Develop AI strategies aligned to group/business unit goals, with clear project roadmaps &amp; implementation plans.</li> <li>Identify and lead AI initiatives that enhance operational efficiency, customer experience, and strategic insights.</li> <li>Work with internal teams and external partners to pilot and scale AI solutions (e.g., predictive analytics, agentic AI, etc).</li> <li>Promote responsible AI practices, including model governance and ethical considerations.</li> <li>Stay current with AI trends and assess their relevance to business needs.</li> <li>Drive awareness and education initiatives to increase understanding and adoption of AI solutions across group businesses.</li> </ul>

Senior Manager Digital Platforms, Data and AI

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