ai risk 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

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

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

Rawaj - Human Capital Management

<div>Leverage your abilities and join the dynamic team of a leading company specializing in Oil and Gas industry in Egypt, Cairo
<h2 class="jobSectionHeader">Key Accountabilities</h2><ul><li>Lead end-to-end HSE planning, implementation, and monitoring across the full project lifecycle, incorporating digital and AI-driven strategies</li><li>Deploy advanced HSE systems using AI/ML, data analytics, and digital platforms (IoT, digital permits, dashboards) for risk prediction and safety performance</li><li>Manage risk assessments, incident investigations, and corrective actions using data-driven and digital tools</li><li>Deliver HSE training and drive digital upskilling (e-learning, VR, onboarding) across teams and contractors</li><li>Collaborate with clients, contractors, regulators, and IT teams to ensure compliance and digital integration</li><li>Monitor HSE performance through KPIs, dashboards, and automated reporting to support continuous improvement</li><li>Lead audits and ensure compliance using digital tools and regulatory standards</li><li>Strengthen emergency response through digital systems (alerts, tracking, drones)</li><li>Drive innovation by adopting emerging technologies (AI, sensors, wearables) and enhancing HSE frameworks</li></ul><h2 class="jobSectionHeader">
Knowledge, Skills, and Experience</h2>
We Are Looking For: 
 
<ul><li>Leadership &amp; Teamwork &ndash; Proven ability to lead multidisciplinary teams within a digital HSE environment</li><li>Technical Communication &ndash; Ability to translate complex AI/IT concepts into practical and effective HSE solutions</li><li>Creativity &amp; Innovation &ndash; Strong capability to design and implement digital and AI-driven HSE initiatives</li><li>Planning &amp; Organization &ndash; Excellent project planning, process management, and execution skills</li><li>Experience &ndash; Minimum 10+ years of experience in HSE, including leadership roles (HSE Lead / Manager)</li><li>AI &amp; Digital Projects &ndash; Hands-on experience in AI-driven HSE initiatives, data analytics, and digital transformation</li><li>E-learning &amp; Training &ndash; Experience in developing and delivering digital training programs, including e-learning and virtual platforms</li></ul></div>

HSE Project Lead | Oil and Gas | Egypt

Newmarket Capital

<div>
 
 
 About Us
 
 
 
 Newmarket Investment Management is a globally active institutional asset manager headquartered in Philadelphia. Our leading strategy involves taking exposure to specialized loan portfolios through significant risk transfer, or SRT, transactions and other structured credit products with the world&rsquo;s largest financial institutions. Since founding the strategy in 2013, we have pioneered many first-of-their-kind transactions in the SRT space and taken exposure to over $60 billion of bank loans.
 
 
 &nbsp;
 
 
 Our collaborative, research-driven culture rewards initiative, deep quantitative thinking, and a passion for delivering value. We also place a strong emphasis on the thoughtful use of technology to improve analytical rigor, increase efficiency, and enhance the way we source, evaluate, and monitor investment opportunities.
 
 
 
 &nbsp;
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re seeking a Quantitative Analyst to join our Philadelphia team and play a key role in the analysis, structuring, and risk assessment of new and existing transactions. You will build and refine financial models, craft investment committee materials, and support ongoing portfolio monitoring.
 
 
 The ideal candidate is highly analytical, detail-oriented, and excited to use modern AI tools to accelerate research, modeling, coding, documentation, and workflow automation. Experience with tools such as Claude Cowork, Claude Code, OpenAI Codex, or similar AI-assisted development and productivity platforms is a strong plus.
 
 
 
 &nbsp;
 
 
 
 
 What You Will Do
 
 
 
 Candidates should be prepared to assist senior investment professionals in a range of activities, including but not limited to:
 
 
 ∙ Construct and maintain Monte Carlo models in Python applications and Excel to forecast cash flows, assess risk-return profiles, and perform sensitivity analyses for prospective investments.
 
 
 ∙ Forecast fund performance by rolling up underlying investment cash flows through fund structures and waterfalls.
 
 
 ∙ Update and enhance historical models to monitor portfolio performance and identify variances from initial forecasts.
 
 
 ∙ Evaluate FX and interest rate hedging strategies to mitigate market volatility.
 
 
 ∙ Automate data ingestion, processing, model validation, reporting, and recurring analytical workflows using AI tools, Excel, VBA, Python, and related technologies.
 
 
 ∙ Use AI-assisted coding and research tools to improve productivity, generate and review code, troubleshoot models, summarize documents, and streamline investment analysis.
 
 
 ∙ Draft and polish presentation decks and memos for co-investment opportunities and investment committee review, detailing structures, key assumptions, and risk analyses.
 
 
 ∙ Drive quantitative research projects such as developing proprietary analytics, refining existing frameworks, and implementing industry best practices in modeling, data science, automation, and AI-enabled investment workflows.
 
 
 
 &nbsp;
 
 
 
 
 Qualifications
 
 
 
 ∙
 
 Experience Level:
 
 0-2 years of experience.
 
 
 ∙
 
 Academic Achievement:
 
 Top 10% of graduating class or GPA &ge; 3.6 in Finance, Economics, Mathematics, Statistics, Data Science, Computer Science, Engineering, or a related quantitative field.
 
 
 ∙
 
 Technical Skills:
 
 Strong AI, Microsoft Excel, and Python skills; experience building investment banking-style models; comfort working with large datasets and financial modeling workflows.
 
 
 ∙
 
 AI Fluency:
 
 Candidates should be comfortable using AI to build internal applications and dashboards, accelerate coding, automate repetitive tasks, summarize complex information, improve documentation, and enhance analytical workflows.
 
 
 ∙
 
 Communication:
 
 Strong written and verbal skills; ability to translate complex analyses into clear narratives.
 
 
 ∙
 
 Attention to Detail:
 
 Meticulous mindset with a commitment to accuracy, including the ability to critically review AI-generated outputs and independently validate analyses.
 
 
 ∙
 
 Initiative &amp; Teamwork:
 
 Self-starter who thrives in a collaborative environment and is eager to identify opportunities to improve processes through technology, automation, and AI.
 
 
 ∙
 
 Bonus:
 
 Foreign language proficiency; track record of volunteerism; leadership in extracurricular activities; experience with APIs, data pipelines, version control, or building AI-enabled tools for financial analysis.
 
 
 &nbsp;
 
 
 Newmarket does not sponsor candidates for work visas for this position.
 
</div>

Quantitative Analyst

Teradata

<div>
 
 Role Summary
 
 
 
 
 Service Experience Manager III
 
 
 
 The Service Experience Manager III (SEM III) is responsible for ensuring operational excellence and a consistently high‑quality customer experience across complex, mission‑critical Teradata environments. This role partners closely with customer executives and operational leaders to stabilize, optimize, and continuously improve analytics platforms across cloud and on‑premises deployments.
 
 
 The SEM III acts as a trusted advisor, service owner, and escalation leader&mdash;driving customer satisfaction, value realization, and long‑term retention through strong service governance, data‑driven insights, and proactive risk management.
 
 
 
 What You&rsquo;ll Be Responsible For
 
 
 
 
 Customer &amp; Service Ownership
 
 
 
 <ul>
 <li>
 Own the end‑to‑end service experience for assigned enterprise customers.
 </li>
 <li>
 Build trusted relationships with executive and operational stakeholders.
 </li>
 <li>
 Act as the single point of accountability for service performance, SLAs, and customer outcomes.
 </li>
 <li>
 Support contract renewals by clearly articulating delivered value and service performance.
 </li>
 <li>
 Identify service and product expansion leads
 
 
 </li>
 </ul>
 
 Operational Excellence &amp; Risk Management
 
 
 
 <ul>
 <li>
 Assess customer environments using ITSM and operational maturity frameworks.
 </li>
 <li>
 Identify performance, stability, and adoption improvement opportunities.
 </li>
 <li>
 Proactively manage operational risk, change, and configuration activities.
 </li>
 <li>
 Apply industry best practices (e. g. , ITIL, change and release management), with additional rigor for regulated industries.
 
 
 </li>
 </ul>
 
 Incident &amp; Escalation Leadership
 
 
 
 <ul>
 <li>
 Lead customer onboarding into Teradata service offerings.
 </li>
 <li>
 Serve as the focal point during critical incidents and escalations.
 </li>
 <li>
 Coordinate cross‑functional teams (engineering, support, services) during high‑severity events.
 </li>
 <li>
 Drive root cause analysis and corrective action planning after critical incidents.
 
 
 </li>
 </ul>
 
 Customer Experience &amp; Insight
 
 
 
 <ul>
 <li>
 Monitor and improve customer satisfaction and NPS.
 </li>
 <li>
 Use service data (incidents, consumption, surveys, trends) to gain a 360‑degree customer view.
 </li>
 <li>
 Detect early signals of at‑risk renewals and lead mitigation plans.
 </li>
 <li>
 Advocate customer needs internally to improve or shape service offerings.
 
 
 </li>
 </ul>
 
 Service Delivery &amp; Performance Management
 
 
 
 <ul>
 <li>
 Review and communicate service metrics, SLA performance, and system health.
 </li>
 <li>
 Lead value‑based service reviews and roadmap discussions.
 </li>
 <li>
 Oversee coordination of Customer Support and Managed Service and consulting resources.
 </li>
 <li>
 Improve forecasting and service planning through data‑driven insights.
 
 
 </li>
 </ul>
 
 Technical &amp; AI‑Enabled Leadership
 
 
 
 <ul>
 <li>
 Provide high‑level technical guidance across cloud and on‑prem platforms.
 </li>
 <li>
 Act as a technical escalation point for complex customer issues.
 </li>
 <li>
 Promote and apply AI‑enabled tools for service analytics, reporting, trend detection, decision support and opportunity identification.
 </li>
 <li>
 Leverage AI insights to improve operational efficiency, predict risk, and enhance customer experience.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 3&ndash;5+ years in enterprise technology, services, or infrastructure roles.
 </li>
 <li>
 Proven experience managing large, complex customer relationships.
 </li>
 <li>
 Background supporting mission‑critical enterprise platforms across cloud and on‑prem environments.
 </li>
 <li>
 Experience with ITSM, operational excellence, and service governance.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Strong executive‑level communication and stakeholder management.
 </li>
 <li>
 Ability to lead through influence across multiple teams and organizations.
 </li>
 <li>
 Solid understanding of enterprise infrastructure, cloud platforms, Linux, and storage.
 </li>
 <li>
 Data‑driven mindset with experience interpreting service and operational metrics.
 
 
 </li>
 </ul>
 
 AI &amp; Modern Ways of Working
 
 
 
 <ul>
 <li>
 Hands‑on experience using AI‑enabled tools for analytics, reporting, or customer insights.
 </li>
 <li>
 Ability to translate AI‑generated insights into practical service and customer actions.
 </li>
 <li>
 Comfort adapting to emerging AI technologies to improve productivity and decision‑making.
 
 
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 Education
 
 
 
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 Bachelor&rsquo;s degree in computer science, Engineering, Business Technology, MIS, or equivalent practical experience.
 
 
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 Strong communication and presentation abilities
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 Advanced proficiency in both English and Arabic
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 Knowledge of additional languages, such as French, is desirable
 
 
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 # LI-AB1
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Service Experience Manager

Experian

<div>The Principal GenAI Product Manager EMAP will be responsible for shaping and executing Experian EMAP&rsquo;s AI‑enhanced product strategy across the Ascend and Fraud portfolios.
This is a specialist role in the EMAP Product Management team. The role focuses on embedding Generative AI capabilities into core products, reimagining customer propositions, accelerating innovation, and driving adoption across diverse EMAP markets.
Operating horizontally across Product, Engineering, Data Science, Client Delivery, and Market Product teams, the role acts as a bridge between global GenAI strategy, regional priorities, and market execution.
The ideal individual will bring:<ul><li>
Disruptive mindset</li><li>
Deep understanding of generative AI technologies</li><li>
Strong product instincts</li><li>
Ability to convert opportunities into scalable, commercially viable features aligned to Experian&rsquo;s product operating model</li></ul>
What You&rsquo;ll Do
GenAI Product Strategy &amp; Direction<ul><li>
Own the regional GenAI product strategy and roadmap for EMAP across Ascend and Fraud, informed by:<ul><li>
EMAP customer VOC and market needs</li><li>
Regional regulatory and risk considerations</li><li>
Global GenAI platforms, priorities, and capabilities</li></ul></li><li>
Identify where Generative AI can materially improve customer outcomes, product differentiation, and operational efficiency.</li><li>
Translate emerging GenAI capabilities into clear product intent, priorities, and roadmaps.</li></ul>
Product Discovery &amp; Productisation<ul><li>
Lead discovery of high‑impact GenAI opportunities across customer journeys and internal product workflows.</li><li>
Define use cases with clear value hypotheses, success measures, and risk considerations.</li><li>
Drive productisation of GenAI capabilities, moving from concept and proof points into scalable, production‑ready features embedded in core products.</li><li>
Ensure solutions are designed for repeatability, supportability, and regional scale, rather than bespoke delivery.</li></ul>
Scaling &amp; Adoption Across EMAP<ul><li>
Work with markets and regional functions to scale GenAI use cases across EMAP, with primary focus on customer‑facing innovation and considering productivity enablement where it supports product outcomes</li><li>
Define how GenAI capabilities will be adopted, measured, and evolved over time across markets.</li><li>
Track outcomes including adoption, productivity gains, customer impact, and product differentiation.</li></ul>
Embedding GenAI into Core Platforms<ul><li>
Partner with Engineering and Data Science to embed GenAI capabilities into existing Ascend and Fraud products, rather than standalone tools.</li><li>
Ensure GenAI features are explainable and auditable by design; aligned to Experian&rsquo;s product operating model and naturally integrated into customer and analyst workflows</li><li>
Balance rapid innovation with long‑term platform integrity, trust, and regulatory compliance</li></ul>
Cross‑Functional &amp; GTM Collaboration<ul><li>
Act as a senior product partner across Engineering, Architecture, Data Science, Client Delivery, Market Product, and regional GTM teams.</li><li>
Collaborate with GTM to shape AI‑driven value propositions, pricing inputs, and adoption models, ensuring clear and responsible client messaging.</li><li>
Influence prioritisation and solution design through strong product judgement, evidence‑based trade‑offs, and clear articulation of customer and commercial value.</li><li>
Operate effectively in a matrixed, global environment without formal line authority.</li></ul>
Governance, Risk &amp; Responsible AI<ul><li>
Work closely with regional and global AI technology teams to ensure GenAI governance, controls, and guardrails are embedded into product design and delivery.</li><li>
Ensure GenAI product capabilities align with:</li></ul><ul><li>
Product development and risk frameworks</li><li>
Legal, compliance, and regulatory requirements across EMAP</li><li>
Responsible AI principles (fairness, transparency, traceability)</li></ul>
Client Co‑Creation &amp; Ecosystem Engagement<ul><li>
Co‑create GenAI capabilities with selected clients to validate value, usability, and adoption.</li><li>
Partner with global technology and AI platform teams to leverage external GenAI providers where appropriate, in line with Experian standards and governance.</li></ul>
GenAI Thought Leadership &amp; Storytelling<ul><li>
Act as an internal GenAI product ambassador for EMAP.</li><li>
Share success stories, learnings, and impact narratives to support alignment, adoption, and momentum across product teams and markets</li></ul>
What Success Looks Like<ul><li>
GenAI capabilities embedded into EMAP products at scale, not isolated pilots</li><li>
Tangible improvements in customer decision quality, speed, and usability</li><li>
Clear, aligned GenAI priorities across product teams and markets</li><li>
Innovation delivered responsibly, maintaining Experian&rsquo;s standards of trust and compliance</li></ul> 
 
<div>About Experian</div> 
Ready to make a difference? Experian has evolved into a global tech company and specialized in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish &ndash; and we're not done.
Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, experienced people and new ideas so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian 
 
<div>Experience and Skills</div> 
What You&rsquo;ll Bring<ul><li>
Significant experience as a Senior Product Manager / Principal PM in complex software, platform, or data‑driven environments.</li><li>
Strong grounding in product discovery, productisation, and outcome‑based prioritisation.</li><li>
Deep understanding of Generative AI concepts, patterns, and limitations.</li><li>
Ability to translate AI capabilities into practical, customer‑ready product features.</li><li>
Proven ability to lead through influence rather than hierarchy.</li><li>
Strong communication skills with senior stakeholders and technical teams.</li><li>
Experience operating in regulated or high‑trust environments is highly advantageous.</li></ul> 
 
<div>Additional Information 
</div> 
<div></div>Experian Careers - Creating a better tomorrow together</div>

Principal Gen AI Product Manager, EMAP

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