ai governance manager

Beth Israel Lahey Health

Charlestown, MA &bull; Beth Israel Lahey Health &bull; Full-time &bull; Day
 <div>When you join the growing BILH team, you're not just taking a job, you&rsquo;re making a difference in people&rsquo;s lives.

The AI Program Manager is responsible for planning, coordinating, and delivering artificial intelligence (AI) initiatives across the organization. This role serves as the bridge between business stakeholders, IT, and operations teams to ensure AI programs align with enterprise strategy and governance and adhere to ethical, regulatory, and quality standards. The AI Program Manager oversees multiple AI projects, manages dependencies, mitigates risk, and drives measurable business impact from AI investments. This role also helps drive end user and clinician adoption through stakeholder and change management.

Job Description: 


Essential Duties &amp; Responsibilities including but not limited to:
<ul>
<li>Lead, coordinate, and facilitate multiple AI governance bodies, steering committees, and councils
</li>
</ul><ul><li>Prepare agendas, materials, and decision frameworks to support effective review and approval of AI initiatives
</li>
</ul><ul><li>Support executive decision‑making through concise reporting and recommendations
</li>
</ul><ul><li>Manage the intake, assessment, and prioritization of proposed AI use cases and solutions
</li>
</ul><ul><li>Maintain visibility into approved, in‑flight, deferred, and rejected AI initiatives
</li>
</ul><ul><li>Partner with physicians, nurses, pharmacists, and clinical leaders to identify use cases and define clinical value, safety criteria, and success metrics
</li>
</ul><ul><li>Collaborate with business owners to define AI program goals, KPIs, and value realization metrics
</li>
</ul><ul><li>Translate complex technical concepts into clear, actionable information for non‑technical stakeholders
</li>
</ul><ul><li>Provide executive reporting on program status, ROI, risk, and outcomes
</li>
</ul><ul><li>Partner with risk, compliance, and legal teams to ensure AI solutions meet organizational policies, patient consent and regulatory expectations
</li>
</ul><ul><li>Enable operational adoption through change management and stakeholder engagement
</li>
</ul>Minimum Qualifications:

Education:
<ul>
<li>Bachelor's degree in Information Systems, Health Informatics, Data Science, Public Health, or related field
</li>
</ul>Licensure, Certification &amp; Registration: 


Experience:
<ul>
<li>5+ years of experience in program, portfolio, or project management
</li>
</ul><ul><li>Prior experience supporting AI, analytics, digital transformation, or technology governance initiatives
</li>
</ul><ul><li>Demonstrated experience facilitating governance forums, councils, or steering committees
</li>
</ul><ul><li>Experience working in complex, matrixed organizations with senior leadership engagement
</li>
</ul><ul><li>Familiarity with healthcare operations, clinical workflows, or enterprise healthcare systems</li></ul> 

Skills, Knowledge &amp; Abilities:
<ul>
<li>Strong facilitation, collaboration, and stakeholder management skills across clinical, technical, and business teams
</li>
</ul><ul><li>Working knowledge of AI and machine learning concepts and lifecycle (use case intake, development, deployment, monitoring)
</li>
</ul><ul><li>Understanding of healthcare regulatory, privacy, and data governance requirements (e.g., HIPAA)
</li>
</ul><ul><li>High attention to detail with strong organizational, documentation, and follow‑through capabilities
</li>
</ul><ul><li>Excellent written and verbal communication skills, including executive‑level presentations.
</li>
</ul>Preferred Qualifications &amp; Skills:

<ul><li>Experience with Epic</li></ul> 


Pay Range:
$135,000.00 USD &ndash; $170,000.00 USD

The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.

<h2 class="jobSectionHeader">As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.</h2>

<h2 class="jobSectionHeader">More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.</h2>

<h2 class="jobSectionHeader">Equal Opportunity Employer/Veterans/Disabled</h2></div>
 <div><h3 class="jobSectionHeader">Job details</h3>
<ul><li><div>Employment: Full-time</div></li>
<li><div>Hours/Week: 40</div></li>
<li><div>Shift: Day</div></li>
<li><div>Category: Applications</div></li>
<li><div>Pay Range: $135,000.00 USD - $170,000.00 USD</div></li>
<li><div>FLSA: Exempt</div></li>
<li><div>Req ID: JR95691</div></li></ul></div>

AI Program Manager

Flex Employee Services

Role 1: AI &amp; Data Project Manager (AI Comms and Assist)Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise dataproducts.The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards.The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross‑functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post‑implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives.</li><li>Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs. occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Role 2: AI &amp; Data Project Manager (Data Governance) Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise data products. The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards. The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross-functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post-implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives. Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Disclaimer: This job description provides the major duties/responsibilities, requirements, and working conditions for the position. It is intended to be an accurate reflection of the current role. Management reserves the right to revise or change the job description as necessary to meet organizational needs. Contractors may be required to perform other job-related duties when circumstances require such as emergencies, workload changes, technology changes, or organizational priorities.Pay: $60.00 - $75.00 per hourBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Referral program</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you comfortable working on W2?</li><li>Are you legally authorized to work in the United States: US Citizen/Green Card Holder?</li><li>How many years of work experience do you have with AI Project Management?</li><li>How many years of work experience do you have with AI tools?</li><li>How many years of work experience do you have with EHR tools?</li><li>How many years of work experience do you have with Agile Project Management?</li><li>How many years of work experience do you have with Data Governance?</li><li>How many years of Hospitals and Health Care experience do you currently have?</li><li>How many years of work experience do you have with data analytics?</li></ul>Work Location: Remote

AI & Data Project Manager

Arab Solutions

<div>
 
 Job Title:
 
 Cognitive AI Project Manager
 
 
 
 Job Description
 
 
 
 The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work within TASMU 2.0, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration). The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption by TASMU customers.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end delivery plan: milestones, workstreams, resource plan, budget tracking, and integrated master schedule.
 </li>
 <li>
 Manage multi-vendor delivery execution: workstream coordination, dependency mapping, and delivery governance (weekly cadence, steering inputs).
 </li>
 <li>
 Maintain RAID (risks, assumptions, issues, dependencies) register and drive mitigation/closure with accountable owners.
 </li>
 <li>
 Ensure delivery aligns to TASMU architecture/security/data governance gates (design reviews, approvals, exception handling).
 </li>
 <li>
 Coordinate acceptance management: definition of completion criteria, evidence collection, test plans, and sign-off processes (KPIs/SLOs).
 </li>
 <li>
 Drive operational readiness: ITSM integration, monitoring/observability onboarding, SIEM logging, DR planning, and L1/L2/L3 handover.
 </li>
 <li>
 Manage change control: scope baseline, CR process, impact analysis, and stakeholder approvals.
 </li>
 <li>
 Run stakeholder communication: status reporting, executive summaries, action tracking, and escalation management.
 </li>
 <li>
 Coordinate vendor deliverables for documentation and enablement (IaC repos, runbooks, training materials, release notes).
 </li>
 <li>
 Support procurement/commercial governance: align delivery artefacts to contract schedules, SLAs, and service support obligations.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery. Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.
 </li>
 <li>
 Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).
 </li>
 <li>
 Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.
 </li>
 <li>
 Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).
 </li>
 <li>
 Ability to drive outcomes through influence and structured governance, not just task tracking.
 
 
 </li>
 </ul>
 
 Potential Background
 
 
 
 <ul>
 <li>
 7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.
 </li>
 <li>
 Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.
 </li>
 <li>
 Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.
 </li>
 <li>
 Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.
 </li>
 <li>
 Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.
 </li>
 <li>
 Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).
 
 
 </li>
 </ul>
 Skills: scrum,budget tracking,devsecops,stakeholder,slas,itil awareness,iac/gitops,itsm/siem,cloud,cr process,data,ai initiatives,prince2,pmp,agile,raid
</div>

Cognitive AI Project Manager

MA'ADEN

<div><div><div><div><div>Role Purpose:
The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise. 
1. Manage End‑to‑End Data Science Delivery
<ul><li>Oversee the development, implementation, and maintenance of databases and data collection systems.
</li><li>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</li><li>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</li><li>Conduct statistical analysis to interpret data insights and support decision‑making.
</li><li>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</li><li>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</li><li>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</li><li>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</li><li>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</li><li>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</li><li>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact. 
</li></ul></div></div> 
<div><div>2. Data Operations
<ul><li>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</li><li>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</li><li>Support compliance with data security standards and relevant regulations
</li><li>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</li><li>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</li><li>Oversee production reliability, model drift management, and continuous improvement. 
</li></ul></div></div> 
<div><div>3. Team Leadership &amp; Capability Building
<ul><li>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</li><li>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</li><li>Foster a culture of innovation, peer review, and reusable modeling frameworks. 
</li></ul></div></div> 
<div><div>4. AI Governance, Quality &amp; Standards
<ul><li>Steward high standards in model explainability, auditability, lineage, and risk management.
</li><li>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</li><li>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</li><li>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</li><li>Support alignment with enterprise governance frameworks, including PDPL compliance.
</li></ul></div></div> 
</div></div>Minimum Qualifications, Experience and Competencies
Minimum Qualifications:
Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
Minimum Experience:
<ul><li>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</li><li>Including at least 4 years leading or mentoring analytics professionals.
</li><li>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</li></ul>Maaden High-Performance Competencies:
Core Competencies
<ul><li>Value realization from ML/analytics initiatives (impact delivered vs. target).
</li><li>On‑time delivery of analytics roadmap.
</li><li>Adoption rate and integration of solutions into business workflows.
</li><li>Model performance stability (drift incidents, uptime).
</li><li>Team capability maturity and talent development indicators. 
</li></ul>Skills:
<ul><li>Machine Learning &amp; AI Leadership
</li><li>Programming Expertise
</li><li>Generative AI Proficiency
</li><li>Strong Analytical &amp; Statistical Skills
</li><li>Business Strategy &amp; Product Thinking
</li><li>Ethics, Governance &amp; Responsible AI
</li><li>Leadership &amp; People Management</li></ul></div>

Manager, Data Science & Analytics

Burgan Bank

<div>
 
 
 
 Position: Principal Technical Expert - AI Factory
 
 
 
 
 
 
 Group: Information Technology
 
 
 
 
 
 
 
 
 Primary Job Purpose
 
 
 
 
 
 
 The Principal Technical Expert &ndash; AI Factory is a strategic leadership position responsible for establishing Artificial Intelligence as a core competitive capability within the Bank. Reporting to the IT General Manager through the IT Technology Factory structure, this role drives the vision, architecture, and execution of enterprise-wide AI initiatives while building and leading a world-class technical team. The position bridges innovation and operations, ensuring AI solutions deliver measurable business value while maintaining the highest standards for governance, security, and ethical compliance.
 
 
 The job holder must have solid skills, knowledge and understanding of artificial intelligence, machine learning, data science and emerging technologies, combined with expert-level strategic thinking and exceptional leadership capabilities. The role requires the ability to analyse complex technical challenges, architect scalable solutions, drive organizational transformation, and ensure implemented systems meet enterprise security, performance, and compliance benchmarks, while delivering value on time and within budget.
 
 
 
 
 
 
 Job Roles &amp; Responsibilities:
 
 
 
 
 
 
 
 AI Strategy, Planning &amp; Management
 
 
 
 
 
 
 AI Strategy &amp; Governance
 
 
 
 
 <ul>
 <li>
 Develop comprehensive AI strategy aligned with Bank's objectives and IT strategic roadmap
 </li>
 <li>
 Define governance frameworks, ethical guidelines, and risk management protocols for AI initiatives
 </li>
 <li>
 Establish AI policies on data usage, model validation, bias mitigation, and regulatory compliance
 </li>
 <li>
 Develop 3-year AI roadmap with clear milestones, KPIs, and resource requirements
 </li>
 <li>
 Manage budget allocation and resource optimization across AI Factory programs
 </li>
 <li>
 Track and report on AI program outcomes, ROI, and strategic impact to IT leadership
 </li>
 </ul>
 
 
 
 
 
 Technical Architecture &amp; Systems
 
 
 
 
 
 
 
 
 
 
 Architecture &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design and oversee enterprise AI architecture, platforms, and infrastructure aligned with IT standards
 </li>
 <li>
 Lead technical decisions on AI frameworks, tools, and technology stack
 </li>
 <li>
 Ensure scalability, performance, security, and reliability of AI systems across enterprise
 </li>
 <li>
 Establish best practices for model development, deployment, and monitoring
 </li>
 <li>
 Evaluate and integrate emerging AI technologies and methodologies
 </li>
 <li>
 Lead proof-of-concept projects and pilot programs to test new AI applications
 </li>
 </ul>
 
 
 
 
 
 Team Building &amp; Leadership
 
 
 
 
 
 
 Talent Management
 
 
 
 
 <ul>
 <li>
 Recruit and attract top AI talent across multiple technical domains
 </li>
 <li>
 Build high-performing AI Factory teams with clear career progression paths
 </li>
 <li>
 Mentor and develop technical specialists and emerging technical leaders
 </li>
 <li>
 Evaluate performance and recommend developmental needs for team members
 </li>
 <li>
 Foster culture of continuous learning, innovation, and technical excellence
 </li>
 <li>
 Maintain and promote positive work culture and employee engagement
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Management &amp; Communication
 
 
 
 
 Internal Interactions
 
 
 <ul>
 <li>
 Serve as primary technical advisor to IT General Manager and steering committee on AI matters
 </li>
 <li>
 Build relationships with business unit leaders to identify high-impact AI use cases
 </li>
 <li>
 Communicate complex technical concepts to non-technical audiences across the Bank
 </li>
 <li>
 Champion AI adoption and drive organizational change management initiatives
 </li>
 <li>
 Participate in cross-functional committees and IT steering groups
 </li>
 </ul>
 
 
 
 
 
 
 
 
 External Representation
 
 
 <ul>
 <li>
 Maintain collaboration with AI vendors, technology partners, and system integrators
 </li>
 <li>
 Build partnerships with academic institutions and AI thought leaders
 </li>
 <li>
 Represent the Bank at industry conferences, AI forums, and technology events
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Job Specifications
 
 
 
 
 
 E
 
 ducational Qualification(s)
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent in a related field
 </li>
 </ul>
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Minimum 10 years of experience required in AI or related field.
 </li>
 </ul>
 
 
 
 Language(s) known
 
 
 
 <ul>
 <li>
 English (Proficient)
 </li>
 <li>
 Arabic (Proficient)
 </li>
 </ul>
 
 
</div>

Principal Technical Expert - AI Factory

United Al Saqer Group

<div>Established more than 40 years ago, the United Al Saqer Group (UASG) is one of the leading multi-sector business groups in the United Arab Emirates. The UASG owns and operates a diverse yet complementary portfolio of six UAE-based companies encompassing several key industry sectors, which includes Abu Dhabi Motors, Performance Plus Motors, Autoplus, Autodrive, Dalma Motors, United Al Saqer Heavy Equipment, Falcon Motors, Al Saqer Property Management, Royal International Construction, Royal Joinery, Royal Wood Factory, SAMA Integrated systems, AG Hotel, Safe Travel, IFM Facilities Management L.L.C. and Global Catering Services.
We are recruiting a Artificial Intelligence Program Manager who shall lead UASG&rsquo;s enterprise-wide AI adoption initiative, driving internal &amp; customer transformations across all functions including IT, HR, and Finance. This strategic role is embedded within Group IT and is responsible for translating UASG&rsquo;s AI vision into actionable programs that deliver measurable business value. The AI Program Manager owns the enterprise AI adoption roadmap, portfolio governance, and value tracking; delivery execution remains with the relevant business/IT owners and delivery teams, which this role enables and coordinates through standards, priorities, and cross-functional alignment. The role partners closely with Group IT (architecture, data, cybersecurity), subsidiaries, and key corporate functions to ensure AI initiatives are scalable, secure, and compliant.
AREA OF RESPONSIBILITY:
AI Strategy &amp; Leadership:<ul><li>
Own and continuously refine the group-wide AI strategy and phased implementation roadmap, ensuring each initiative aligns with UASG's business goals and digital transformation objectives.</li><li>
Align subsidiaries and functions on common AI priorities, standards, and funding assumptions through regular steering and portfolio reviews.</li></ul><ul><li>
Oversee execution of all AI projects from inception to deployment, chairing a virtual AI task force or Center of Excellence drawing on data scientists, BI analysts, IT developers, and process owners. Use Agile methodologies where appropriate to iteratively develop and refine AI solutions.</li><li>
This role will be accountable for ROI and must ensure it, by defining baselines, benefits owners, and a benefits-realization tracking cadence; ensure outcomes are measured and reported against the agreed ROI hypothesis.</li><li>
Clarify decision authority across functions where needed (e.g., prioritization, funding, data ownership, and go/no-go approvals) to remove blockers and accelerate execution.</li><li>
Report quarterly progress, KPI performance, and key risks to the GCTO and executive leadership with clear decisions required.</li></ul>
AI Innovation &amp; Product Development:<ul><li>
Run a structured intake and prioritization process to build a pipeline of AI use cases with clear problem statements, data needs, and ROI hypotheses.</li><li>
Deliver proofs of value and scaled releases with defined success metrics (e.g., cycle-time reduction, cost avoidance, revenue uplift) in partnership with business owners.</li><li>
Coordinate cross-functional delivery plans (product, data, IT, security) to ensure solutions are integrated, supported, and ready for operations.</li></ul>
AI Adoption, Change &amp; Enablement:<ul><li>
Lead cultural and organizational change efforts for AI adoption, creating a communication plan and organizing hands-on training sessions in partnership with HR's training team. These activities tie into UASG's Enterprise Skilling Program, which focuses on upskilling employees, the AI PM will ensure it specifically includes developing AI and data competencies.</li><li>
Execute an adoption plan for each AI release (communications, training, support model) to drive sustained usage by target user groups.</li><li>
Define adoption KPIs (e.g., active users, usage frequency, satisfaction, benefits realized) and publish a monthly dashboard for leadership.</li><li>
Build and run an AI champions network with quarterly enablement sessions and reusable playbooks to scale adoption across departments.</li></ul>
AI Governance, Risk &amp; Compliance:<ul><li>
Work with IT governance, risk, and compliance teams to enforce responsible AI use. Develop AI usage policies covering ethics, data privacy, and security.</li><li>
Establish and enforce AI governance frameworks, ensuring compliance with data privacy, ethical standards, and applicable UAE regulations.</li><li>
Partner with cybersecurity, legal, and data owners to define risk controls for AI solutions (e.g., data access, model approvals, monitoring, and audit readiness).</li><li>
Ensure all AI projects undergo a risk and bias assessment during development and establish guidelines on where human oversight is required (e.g. AI recommendations on employee performance or high-value financial transactions must be reviewed by a human manager before execution).</li></ul>
Vendor &amp; Stakeholder Management:<ul><li>
Serve as the primary liaison with external technology providers (Microsoft for AI and analytics, Oracle for AI in ERP/HCM, and specialized AI vendors).</li><li>
Evaluate new AI tools and services, stay informed about product roadmaps (e.g. new Microsoft Copilot features or Oracle AI updates), and run proof-of-concepts as needed.</li><li>
Manage ongoing partner performance through SLAs, value realization tracking, and quarterly business reviews with clear corrective actions.</li></ul> 
QUALIFICATIONS &amp; CERTIFICATIONS &amp; EXPERIENCE (MANDATORY &amp; PREFERRED):<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, Business, or a related field.</li><li>
Minimum of 8-10 years&rsquo; experience in technology or digital transformation roles, with at least 3 years&rsquo; experience in leading AI initiatives.</li><li>
Proven experience in managing AI/ML or data analytics projects.</li><li>
Strong understanding of enterprise systems (e.g., ERP, HCM), cloud platforms, and AI tools.</li><li>
Familiarity with Microsoft 365 Copilot, Oracle AI, Power BI, or similar platforms.</li><li>
Experience in the UAE/GCC region is preferred.</li></ul>
SKILLS &amp; COMPETENCIES (Technical, Behavioral, and Soft):
Technical Skills:<ul><li>
Strategic thinking and ability to translate vision into execution.</li><li>
Strong project and change management skills.</li><li>
Excellent communication and stakeholder engagement capabilities.</li><li>
Knowledge of AI governance, data ethics, and compliance frameworks.</li><li>
Ability to lead cross-functional teams and influence without direct authority.</li></ul>
Behavioural Competencies:<ul><li>
Customer Focus - Understands customer challenges and takes initiative to resolve them effectively.</li><li>
Accountability and Ownership - Manages projects with minimal supervision and ensures quality results.</li><li>
Agility and Adaptability - Manages change smoothly and supports others during transitions.</li><li>
Collaboration &amp; Influence - Builds networks across functions and resolves conflicts constructively.</li><li>
Result Orientation - Sets clear goals and works proactively to achieve high performance.</li></ul>
Location: Abu Dhabi</div>

Artificial Intelligence Program Manager

Emirates Investment Authority

<div>Purpose 

The Employee Relations Manager is responsible for executing employee relations and payroll-related activities assigned by the Senior Manager &ndash; Compensation &amp; Employee Relations. The role supports the consistent application of internal policies, conduct standards, payroll controls, and governance frameworks, ensuring accurate documentation, confidentiality, and operational discipline across employee relations and payroll interfaces. Operating as a senior individual contributor, the role manages ER cases, supports investigations, coordinates payroll inputs (including GPSSA), and contributes to reporting, audits, and digital process improvements. 

Strategic Responsibilities
<ul><li>Support the execution of the organization&rsquo;s Employee Relations framework, policies, and procedures.</li><li>Ensure consistent and fair application of ER processes across all departments.</li><li>Contribute ER data, case insights, and trend analysis to support management reporting and governance reviews.</li><li>Support digitalization, automation, and AI-enabled enhancements within employee relations processes.</li></ul> 
Core Responsibilities
1. Employee Relations<ul><li>Execute assigned employee relations cases, including grievances, conduct issues, investigations, and performance-related matters.</li><li>Collect information, conduct interviews, prepare case documentation, and draft summaries for review and approval.</li><li>Maintain accurate, confidential, and audit-ready ER records in line with internal governance standards.</li><li>Apply ER policies consistently and support updates and version control as directed.</li></ul>
 2. Payroll &amp; GPSSA Support<ul><li>Support payroll operations by validating ER-related payroll inputs such as disciplinary actions, unpaid leave, deductions, recoveries, and final settlements.</li><li>Coordinate GPSSA-related employee data updates, changes, and documentation in collaboration with Payroll and HR Operations.</li><li>Support reconciliation of payroll exceptions arising from ER actions or employee status changes.</li><li>Ensure payroll-related documentation linked to ER cases is complete, accurate, and properly approved.</li></ul>
 3. Reporting &amp; Governance<ul><li>Maintain ER and payroll trackers, logs, and case records.</li><li>Prepare periodic reports on ER cases, trends, and payroll-related ER impacts.</li><li>Support internal audits, governance reviews, and management reporting through accurate documentation and timely responses.</li></ul>
 4. Digital &amp; Systems Support<ul><li>Use HRIS, payroll systems, and ER case management tools to execute assigned activities.</li><li>Support HR chatbot content and digital workflows related to ER and payroll processes.</li><li>Participate in automation and system enhancement initiatives affecting ER and payroll interfaces.</li></ul> 
Requirements 
 
Education &amp; Qualifications 
<ul><li>Bachelor&rsquo;s degree in Human Resources, Finance, Business Administration, or a related field.</li><li>Master&rsquo;s degree and/or professional certifications (e.g., CIPD, SHRM, WorldatWork/CCP, Certified Compensation &amp; Benefits Professional) preferred.</li></ul>
Experience Requirements<ul><li>7&ndash;10 years of progressive HR experience with strong exposure to employee relations case handling and investigations.</li><li>Experience in an investment organization, financial institution, sovereign-linked entity, or other high-governance environment preferred.</li><li>Demonstrated ability to independently execute complex ER cases under management direction.</li><li>Experience working with HR systems, digital workflows, and reporting tools.</li></ul>
Technical Expertise / AI / Data Skills<ul><li>Strong ER case handling and documentation skills.</li><li>Working knowledge of payroll processes and GPSSA administration.</li><li>High attention to detail, confidentiality, and governance compliance.</li><li>Familiarity with HR systems, digital workflows, analytics dashboards, and AI-enabled HR tools.</li></ul></div>

Employee Relations Manager

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