ai solutions analyst

atNorth

<div>atNorth is a leading Nordic data center company providing cost-effective, scalable high-density colocation and built-to-suit services to industry-leading organizations across Iceland, Sweden, Finland, and Denmark.
With sustainability at our core, our data centers run on renewable energy and are designed according to circular economy principles. Through innovative design, power efficiency, and intelligent operations, we deliver reliable, secure, and high-performance infrastructure.
Headquartered in Reykjavik, Iceland, atNorth operates eight data centers across the Nordics, with additional sites under development in Finland, Denmark, and Sweden.
We combine world-class technology with a people-first culture built on collaboration, ownership, and trust, empowering our teams to grow, take responsibility, and make a real impact.
By joining our international team, you will help shape the future of sustainable digital infrastructure.
AI Solutions Analyst at atNorth
In this role, you will lay a central role in shaping and coordinating AI opportunities from early discovery through pilot, rollout, and adoption, helping ensure each solution delivers measurable value in practice.
You will coordinate the discovery of AI use cases across the organisation, working closely with business stakeholders and technical teams to assess needs, shape requirements, and evaluate feasibility. From mapping current workflows and identifying improvement opportunities, to defining clear success criteria and validating ideas through prototyping or testing, you will play a central role in turning business challenges into practical AI solutions.
We expect you to ensure that pilots are well-structured and aligned with business goals, while effectively gathering feedback and refining solutions based on real user needs. You will also oversee the rollout and adoption of AI solutions, including training, communication, and change management, ensuring that new capabilities are successfully embedded into daily ways of working and deliver sustained value over time
Key responsibilities:<ul><li>Coordinating AI use cases from discovery through pilot, rollout and adoption, helping ensure delivery of measurable business value</li><li>Running structured discovery to identify and assess AI opportunities based on value, feasibility and readiness</li><li>Translating business needs into clear requirements, workflows and success criteria for technical delivery</li><li>Coordinating pilots end-to-end, including scope definition, user involvement, testing and feedback collection</li><li>Tracking progress, risks and dependencies across active AI initiatives and supporting clear visibility of the portfolio</li><li>Coordinate rollout and adoption of AI solutions, including training, communication and user enablement</li><li>Applying change management practices to support successful uptake and embedding of AI solutions into daily work</li><li>Collaborating closely with business stakeholders, IT, data teams and developers to align on priorities and outcomes</li><li>Monitoring usage, outcomes and feedback to evaluate impact and identify continuous improvement opportunities</li></ul>
Your profile:<ul><li>Strong business analysis and problem-solving skills, with the ability to translate needs into structured solutions</li><li>Strong written communication skills, with the ability to document requirements, decisions and user guidance clearly</li><li>Proven experience driving digital solutions, process improvements or similar initiatives from idea to adoption</li><li>Experience working with cross-functional stakeholders and facilitating workshops or discovery sessions</li><li>Hands-on experience with pilots, rollouts or implementing new tools, with a focus on user adoption</li><li>Strong ownership mindset with the ability to manage multiple initiatives and drive progress independently</li><li>Ability to simplify complexity, prioritise effectively and focus on what creates real business value</li><li>Comfortable working in a fast-evolving environment with changing priorities and emerging technologies</li><li>Experience in mapping workflows, analysing processes or designing improved ways of working</li><li>Interest in and practical exposure to AI, automation or digital transformation initiatives</li><li>Fluent in English</li></ul>
About the atNorth Culture
We believe that sustainable success starts with the wellbeing of our people. For us, an open, transparent, and inclusive culture is more than a priority, it is the core of how we lead and innovate.
We don&rsquo;t just talk about culture; we nurture it. Through regular one-to-one engagements and monthly wellbeing surveys, we listen carefully to our teams, ensuring that every voice is heard and every opportunity for improvement is embraced.
We recognize that innovation and collaboration thrive where people feel truly connected, which is why we come together each week to share ideas, strengthen relationships, and nurture a sense of belonging, sometimes over a simple breakfast and good conversation.
At atNorth, we are building a community where you can do your best work and shape a sustainable future together.</div>

AI Solutions Analyst

VieMed, LLC

<div>Essential Duties and Responsibilities:
<ul><li>Data Preparation &amp; Exploration</li>
<li><ul><li>Collect, clean, and preprocess patient, claims, billing, and operational data from healthcare systems (EHRs, billing platforms, CRM, etc.).</li>
<li>Conduct exploratory data analysis (EDA) on datasets related to ventilator compliance, hospital readmissions, referral patterns, and payer trends.</li>
</ul></li><li>Modeling &amp; Analysis</li>
<li><ul><li>Assist in building predictive and machine learning models (e.g., patient risk stratification, adherence prediction, referral conversion).</li>
<li>Perform statistical and trend analysis to identify cost-saving opportunities and clinical/operational efficiencies.</li>
</ul></li><li>AI &amp; Automation Development</li>
<li><ul><li>Support the design and prototyping of AI agents for tasks such as real-time eligibility checks, referral triage, and payer communication.</li>
<li>Help build automated workflows and data pipelines that reduce manual processes (e.g., invoice/PO/receiving 3-way match, claims variance detection).</li>
<li>Contribute to the development of chatbots and copilots that assist employees with data lookups, reporting, or documentation.</li>
<li>Experiment with workflow automation tools and APIs to connect platforms such as Bonafide, Brightree, Acumatica, Salesforce, and Power Apps.</li>
</ul></li><li>Visualization &amp; Communication</li>
<li><ul><li>Create dashboards and reports (Tableau/Power BI) that monitor patient outcomes, operational KPIs, and AI automation performance.</li>
<li>Communicate results in clear, actionable terms for clinicians, operations staff, and executives.</li>
</ul></li><li>Collaboration &amp; Support</li>
<li><ul><li>Work with data engineers to optimize data pipelines supporting AI/ML and automation initiatives.</li></ul></li></ul> 

Minimum Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in Data Science, Computer Science, Healthcare Informatics, or related field (Master&rsquo;s a plus), or equivalent experience</li>
<li>Proficiency in Python (Pandas, NumPy, scikit-learn, LangChain, or similar frameworks for AI/agents).</li>
<li>Strong SQL skills for working with healthcare and operational data.</li>
<li>Familiarity with AI concepts such as LLMs, prompt engineering, and workflow orchestration.</li>
<li>Understanding of healthcare data (claims, EHR, payer data) and compliance standards (HIPAA).</li>
<li>Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).</li>
<li>Strong problem-solving and communication skills.</li></ul> 


Preferred Knowledge, Skills and Abilities:
<ul>
<li>Exposure to DME workflows (referrals, authorizations, billing, compliance).</li>
<li>Experience building AI-driven tools or copilots in Microsoft Copilot, ChatGPT Enterprise, or similar platforms.</li>
<li>Familiarity with workflow automation tools (Power Automate, Zapier, UiPath, etc.).</li>
<li>Cloud platform experience (AWS, Azure, or GCP).</li>
<li>Git/version control and collaborative development experience.</li></ul> 


You will be expected to work during normal business hours, which are Monday through Friday, 8:00 a.m. &ndash; 5:00 p.m. Please note this job description is not designed to cover and/or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.</div>

AI/ML Solutions Analyst

AI Analyst

WisdomTree

<div>
 WisdomTree is seeking an early-career
 
 AI Enablement Analyst
 
 to help scale practical AI adoption across the firm. This role is ideal for a recent graduate or candidate with 1+ years of experience who is highly fluent in modern AI tools and excited to help teams apply them in real business workflows.
 
 
 This person will support a mix of AI initiatives, including user training, prompt development, custom GPT and app creation, workflow support, automation, and experimentation with agent-based tools and platforms. The role will work across functions to identify use cases, help prototype solutions, document best practices, and support adoption of tools such as ChatGPT, Microsoft Copilot, Power Apps, Power Automate, Copilot Studio, and Azure AI / Microsoft Foundry-based solutions.
 
 
 This role is well suited for someone who is curious, adaptable, technically comfortable, and able to translate between business needs and emerging AI capabilities. The individual will support WisdomTree&rsquo;s growing AI program and work closely with the firm&rsquo;s AI Tech &amp; Operations leadership and the AI Solutions Analyst to help execute AI initiatives across training, workflow design, solution development, and user adoption.
 
 
 While the position has a primary emphasis on enablement, training, adoption, and business engagement, the individual will be cross-trained across solution-building activities and expected to contribute broadly across the team&rsquo;s AI initiatives.
 
 
 
 Success In This Role Would Be Achieved By
 
 
 
 <ul>
 <li>
 Support day-to-day AI enablement efforts across business teams
 </li>
 <li>
 Help design, test, and refine prompts, reusable workflows, and AI playbooks
 </li>
 <li>
 Assist with building and maintaining lightweight AI solutions, including custom GPTs, internal assistants, workflow prototypes, and Microsoft-based automations
 </li>
 <li>
 Partner with internal stakeholders to identify repetitive tasks and opportunities for AI-assisted automation and workflow improvement
 </li>
 <li>
 Help design and support AI-enabled workflows and lightweight business solutions using Microsoft tools such as Power Apps, Power Automate, Copilot Studio, and related platforms
 </li>
 <li>
 Create clear documentation, user guides, training materials, and best practices for AI tools and workflows
 </li>
 <li>
 Help deliver AI training sessions, office hours, demos, and role-specific support
 </li>
 <li>
 Gather user feedback and identify opportunities to improve adoption, usability, and impact
 </li>
 <li>
 Evaluate new AI tools and platforms and summarize findings for business users
 </li>
 <li>
 Assist with testing outputs, validating quality, and promoting responsible AI use
 </li>
 <li>
 Help evaluate AI outputs, workflows, and automations for quality, reliability, and business usefulness
 </li>
 <li>
 Help track AI requests, pilot activity, enhancement opportunities, and follow-up items across projects
 </li>
 <li>
 Support cross-functional AI projects from idea stage through pilot deployment
 </li>
 <li>
 Collaborate closely with the AI Solutions Analyst on solution design, rollout, testing, and user support
 </li>
 <li>
 Build familiarity over time with agent-based tools, Microsoft Azure / Microsoft Foundry environments, and internal AI solution design and development
 
 
 </li>
 </ul>
 
 Experience And Required Skill Set
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience
 </li>
 <li>
 Strong familiarity with widely used AI tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, or similar platforms
 </li>
 <li>
 Familiarity with Microsoft productivity and automation tools, including Power Apps, Power Automate, Copilot, or similar platforms
 </li>
 <li>
 Clear interest in applied AI, workflow improvement, training, and business enablement
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Ability to explain technical concepts in simple, practical terms
 </li>
 <li>
 Comfort learning new platforms quickly in a fast-changing environment
 </li>
 <li>
 Strong organization, documentation, and follow-through
 </li>
 <li>
 Analytical mindset with good judgment and attention to detail
 
 
 </li>
 </ul>
 $70,000 - $85,000 a year
 
 
 
 Compensation For This Role
 
 
 
 <ul>
 <li>
 base salary range of $70,000 through $85,000.**
 </li>
 <li>
 annual discretionary bonus, payable in cash and/or equity securities consistent with WisdomTree&rsquo;s policies and procedures, and subject to the terms and conditions of WisdomTree&rsquo;s equity plan.
 </li>
 <li>
 Base rate offered will be based on candidate&rsquo;s experience, qualifications, skillset and geographic location (to account for comparative cost of living).
 
 
 </li>
 </ul>
 
 Benefits For This Role
 
 
 
 WisdomTree offers a comprehensive and competitive benefits package designed to support the health, financial security and overall well-being of our employees. Benefits include:
 
 
 <ul>
 <li>
 medical, dental and vision coverage with multiple plan options;
 </li>
 <li>
 health savings and flexible spending accounts;
 </li>
 <li>
 employer-paid life, disability and business travel insurance;
 </li>
 <li>
 401(k) plan with company match;
 </li>
 <li>
 flexible paid time off;
 </li>
 <li>
 educational reimbursement programs;
 </li>
 <li>
 wellness and fitness activities;
 </li>
 <li>
 paid parental leave; and
 </li>
 <li>
 volunteer time off
 
 
 </li>
 </ul>
 All such benefits are subject to the terms and conditions of WisdomTree&rsquo;s benefits plans and policies.
 
 
 
 About Us
 
 
 
 W isdomTree is a global financial innovator, offering a diverse suite of exchange-traded products (ETPs), models and solutions, private market investments and digital asset-related products. Our offerings empower investors to shape their financial future and equip financial professionals to grow their businesses. Leveraging the latest financial infrastructure, we create products that emphasize access and transparency and provide an enhanced user experience. Building on our heritage of innovation, we offer next-generation digital products and services related to tokenized real world assets and stablecoins, as well as our institutional platform, WisdomTree Connect&trade;, blockchain-native digital wallet, WisdomTree Prime&reg;*, and have expanded into private markets through the acquisition of Ceres Partners&rsquo; U.S. farmland platform.
 
 
 <ul>
 <li>
 The WisdomTree Prime digital wallet and digital asset services and WisdomTree Connect institutional platform are made available through WisdomTree Digital Movement, Inc., a federally registered money services business, state-licensed money transmitter and financial technology company (NMLS ID: 2372500) or WisdomTree Digital Trust Company, LLC, in select U.S. jurisdictions and may be limited where prohibited by law. WisdomTree Digital Trust Company, LLC is chartered as a limited purpose trust company by the New York State Department of Financial Services to engage in virtual currency business. Visit https://www.wisdomtreeprime.com , the WisdomTree Prime mobile app or https://www.wisdomtreeconnect.com for more information.
 
 
 </li>
 </ul>
 
 Work Smart
 
 
 
 Headquartered in New York City, WisdomTree embraces a &ldquo;Work Smart&rdquo; philosophy that transcends physical workspace, aiming to optimize productivity, efficiency and effectiveness. Employee time in the office generally is not prescribed, and team leaders are empowered to determine how their teams work best, based on their roles, which may include in-person, in-office engagement.
 
 
 
 Mission, Vision &amp; Values
 
 
 
 WisdomTree is committed to delivering a better financial experience through the quality of our products, solutions and engagement, and to be the leader in delivering best structured access to global asset classes, empowering clients through innovative solutions and long-term performance. WisdomTree employees strive for excellence and innovation, work with transparency and accountability and support each other as a global team . We welcome the applications of qualified individuals who will support this mission and thrive in our collaborative and empowering work environment.
 
 
 Learn more at https://www.wisdomtree.com
 
 
 WisdomTree is proud to be an Equal Opportunity Employer, committed to the consideration of all applicants and existing employees for all positions, and we evaluate qualified applicants without regard to race, color, religion, creed, sex, gender, age, national origin or ancestry, ethnicity, physical or mental disability, veteran status, marital status, sexual orientation, pregnancy, citizenship status, genetic information, or any other status or condition protected by applicable law.
</div>

AI Enablement Analyst

CEC Facilities

<div>Position Summary
The Technology Solutions Analyst is responsible for partnering with business and technology teams to identify, evaluate, and support the delivery of artificial intelligence (AI), analytics, and automation solutions that drive operational efficiency and business value. This role serves as a bridge between business stakeholders and technical delivery teams, translating business needs into AI enabled solutions while supporting implementation, adoption, and continuous improvement.
Key Responsibilities<ul><li>
Collaborate with business stakeholders to identify opportunities for AI, machine learning, automation, and analytics solutions.</li><li>
Gather, analyze, and document business requirements, process workflows, and functional specifications.</li><li>
Translate business challenges into clearly defined AI use cases, user stories, and success criteria.</li><li>
Partner with data engineers, data scientists, developers, and vendors to support AI solution design and implementation.</li><li>
Participate in proof of concepts (POCs) and pilot programs to validate feasibility and business value.</li><li>
Support solution testing, validation, and deployment activities.</li><li>
Collaborate with data teams to define data requirements, quality standards, and validation criteria.</li><li>
Assist in monitoring model performance and business outcomes.</li><li>
Support responsible AI practices, including governance, privacy, security, and ethical considerations.</li><li>
Support user training, communications, documentation, and change management activities.</li><li>
Act as a liaison between IT and business teams to ensure solutions meet user needs and are adopted effectively.</li><li>
Define and track key performance indicators (KPIs) for AI initiatives.</li><li>
Monitor post implementation outcomes and identify opportunities for optimization.</li><li>
Stay informed on emerging AI technologies and recommend improvements or innovations.</li><li>
Performs other duties as needed to support projects, operations, and the department.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in information systems, Computer Science, Data Analytics, Business Administration, or a related field.</li><li>
3&ndash;6 years of experience in business analysis, systems analysis, analytics, or technology consulting.</li><li>
Experience supporting AI, automation, analytics, or digital transformation initiatives.</li><li>
Strong analytical, documentation, and stakeholder communication skills.</li></ul>
Skills &amp; Abilities<ul><li>
Knowledge of AI and machine learning concepts (e.g., ML, natural language processing, large language models, predictive analytics).</li><li>
Ability to explain technical concepts in business friendly.</li><li>
Familiarity with tools such as Power BI, Tableau, SQL, Python, Power Platform, Azure AI, or comparable technologies.</li><li>
Working knowledge of SDLC, Agile, or hybrid delivery methodologies.</li><li>
Exposure to process automation or intelligent workflow solutions.</li><li>
Experience working in complex or regulated environments.</li><li>
Strong problem solving and critical thinking skills.</li><li>
Ability to manage multiple priorities and collaborate across teams.</li><li>
Data driven mindset with attention to detail.</li><li>
Effective written and verbal communication skills.</li><li>
Commitment to ethical and responsible use of AI technologies.</li></ul>
Work Environment &amp; Physical Demands
This job operates in a clerical office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets.<ul><li>
Requires mobility within an office environment.
</li><li>Regularly required to talk and hear. Effectively communicate with others both written and orally, including using the telephone.
</li><li>Prolonged periods sitting at a desk and working on a computer.
</li><li>The employee may be required to walk; reach with hands and arms; and bend.
</li><li>May be required to stoop, kneel, and crouch. Specific vision abilities required by this job include close vision, distance vision, color vision, and ability to adjust focus.
</li><li>Possess good hearing, normal or corrected.
</li><li>The employee must be able to regularly lift and/or move up to 50 pounds.
</li><li>The employee may be required to climb stairs.
</li><li>Must be able to work 8 hours a day, 40 hours per week, and overtime as required and night or weekend shifts, as needed.
</li></ul>CEC Companies is an Equal Opportunity Employer. We are committed to attracting and retaining the best-qualified individuals, regardless of race, color, religion, national origin, gender, age, disability, veteran status, or any other status protected under federal, state, or local law. All qualified applicants are encouraged to apply.</div>

Technology Solutions Analyst

Metropolitan Commercial Bank

<div>Come Work With Us:

Metropolitan Commercial Bank (&quot;MCB&quot; or the &quot;Bank&quot;) is a New York City&ndash;based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.

Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.

The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek's Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor's Choice recognition at the Banking Tech Awards USA for Digital Onboarding &amp; Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.

We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human&ndash;AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank's website at MCBankNY.com. 


Position Summary:

Metropolitan Commercial Bank (the &quot;Bank&quot;) is seeking an Applied AI Analyst to support the design, configuration, testing, and monitoring of applied AI, Generative AI, machine learning, and agentic workflow solutions in a highly regulated banking environment. Working under the guidance of AI Scientists and in partnership with engineering, risk, and business teams, this role focuses on internal human-in-the-loop use cases such as AI-assisted loan documentation generation, fraudulent transaction detection models, policy and knowledge copilots, workflow automation, and other productivity solutions. A meaningful portion of the role is dedicated to AI solution intake and delivery support&mdash; learning new business domains, engaging business owners, preparing required documentation, and supporting vendor and risk reviews, so that solutions can be built and deployed under strict control gates and documentation standards aligned to internal and external regulations. The role emphasizes strong documentation, human oversight, privacy-by-design, cybersecurity, and disciplined lifecycle controls aligned to internal and external regulations. The role also emphasizes familiarity with Microsoft Foundry / Foundry Agent Service, approved Microsoft Copilot ecosystems, RAG architectures, and enterprise data platforms such as Snowflake.

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions &amp; Responsibilities

Applied AI solution development &amp; analysis:
<ul>
<li>Support AI Scientists in building, configuring, and testing applied AI/GenAI solutions for high-value banking use cases such as credit memo generation, policy/regulatory summarization, knowledge assistants, and internal productivity copilots.</li>
<li>Develop and refine prompts, grounding instructions, structured outputs, evaluation datasets, and Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector search, document chunking, and metadata-driven retrieval.</li>
<li>Prepare and transform structured and unstructured data; assist with API integrations, notebooks, and repeatable workflows that improve quality, traceability, and analyst productivity.</li>
</ul>
Agentic workflow design &amp; orchestration:
<ul>
<li>Assist in designing and testing agentic workflows using approved enterprise platforms and frameworks, including multi-agent patterns, human-in-the-loop approvals, handoffs, and subagent / agents-as-tools designs.</li>
<li>Work with emerging interoperability patterns such as Model Context Protocol (MCP), tool / skill / plugin integration, and Agent-to-Agent (A2A) connectivity under supervision and within approved guardrails.</li>
<li>Document workflow steps, tool schemas, fallback logic, escalation paths, and safe disablement / rollback procedures for agentic and GenAI solutions.</li>
</ul>
Microsoft Foundry, Copilot, and enterprise platform enablement:
<ul>
<li>Support prototyping and evaluation in Microsoft Foundry / Foundry Agent Service and related Microsoft ecosystems (for example, Microsoft 365 Copilot) while partnering with Engineering and Data teams operating on Snowflake and other approved enterprise platforms.</li>
<li>Assist with prompt and agent configuration, retrieval integration, logging, model / tool versioning, and operational runbooks.</li>
</ul>
Evaluation, testing, and monitoring:
<ul>
<li>Create and execute test cases for accuracy, groundedness, hallucination, task completion, retrieval quality, bias/fairness, and basic adversarial or prompt-injection scenarios; escalate issues promptly.</li>
<li>Track KPIs/KRIs, output quality, drift indicators, and user feedback; maintain evidence needed for pilot reviews, production monitoring, and periodic reassessment.</li>
</ul>
AI governance, intake documentation, and cybersecurity/privacy controls:
<ul>
<li>Support AI use-case intake and governance processes by preparing required documentation (e.g., AI intake forms, model/system inventories, change-control artifacts, and audit-ready evidence packs) aligned to MCB's Trustworthy &amp; Responsible AI Principles and internal approval processes.</li>
<li>Learn domain and process context for new use cases by speaking with business owners and control partners; translate requirements into clear problem statements, data needs, user journeys, control gates, and documentation required to comply with internal and external regulations.</li>
<li>Support third-party / AI vendor due diligence by collecting and organizing evidence, reviewing vendor documentation, and helping risk-tier AI vendors and solutions in partnership with Third-Party Risk and Cyber/IT; act as an AI subject matter expert in providing an understanding of AI-specific risks.</li>
<li>Apply privacy-by-design, data minimization, access-control, and secure prompt/data handling practices; follow approved tooling and build standards.</li>
</ul>
Cross-functional partnership and continuous learning:
<ul>
<li>Communicate findings, limitations, and recommendations clearly to AI Scientists, managers, control partners (Model Risk, Compliance/Legal, Cyber/IT, Data Privacy), and business stakeholders; incorporate feedback quickly and accurately.</li>
<li>Contribute to playbooks, standard operating procedures, and reusable templates for prompts, evaluations, agent patterns, and workflow controls.</li>
</ul>
Innovation and best practices:
<ul>
<li>Stay current on practical applied-AI methods&mdash;including RAG, evaluation frameworks, agentic workflow design, MCP, A2A, and Microsoft Foundry capabilities&mdash;and recommend fit-for-purpose uses under established control gates.</li>
<li>Demonstrate sound judgment, curiosity, and willingness to learn from senior AI Scientists while promoting responsible AI, reproducibility, and disciplined execution.</li>
</ul>
Qualifications &amp; Skills:
<ul>
<li>2+ years of work experience.</li>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, Mathematics, or a related field is preferred. Relevant internships, apprenticeships, or comparable hands-on AI, analytics, or automation project experience will be considered.</li>
<li>Working knowledge of Python, SQL, notebooks, REST APIs, JSON/YAML, and version control (e.g., Git) for data analysis and AI workflow support.</li>
<li>Understanding of traditional machine learning model development and lifecycle concepts, including model training, data leakage prevention, testing/validation, monitoring, and common performance metrics for classification and regression.</li>
<li>Familiarity with LLM application patterns, including prompt engineering, structured outputs, function/tool calling, Retrieval-Augmented Generation (RAG), embeddings, and vector search.</li>
<li>Familiarity with Microsoft Foundry (including Foundry Agent Service), Microsoft 365 Copilot / Copilot Studio concepts, and approved enterprise data/AI platforms such as Snowflake.</li>
<li>Understanding of agentic workflow concepts such as MCP servers/tools, skills/plugins, subagents or agents-as-tools, handoffs, human-in-the-loop controls, and A2A integration patterns.</li>
<li>Ability to test and evaluate AI outputs for accuracy, groundedness, hallucination, retrieval quality, bias/fairness, and basic security misuse scenarios.</li>
<li>Working knowledge of model and data governance concepts, including documentation, monitoring, change control, inventories, audit trails, and three-lines-of-defense oversight in a regulated environment.</li>
<li>Strong written and verbal communication skills; ability to turn technical findings into clear summaries, test evidence, and action items for business and risk stakeholders.</li>
<li>Analytical, organized, and adaptable mindset; ability to learn quickly, manage multiple workstreams, and balance innovation with risk discipline.</li>
</ul>
Preferred Qualifications &amp; Skills
<ul>
<li>Financial services exposure in fraud, AML/KYC/CDD/EDD, underwriting, commercial banking, treasury, policy governance, or contact center analytics.</li>
<li>Hands-on experience with Microsoft Foundry / Foundry Agent Service, Azure AI Search or equivalent retrieval tooling, M365 Copilot / Copilot Studio, Snowflake, or similar enterprise AI platforms is a plus.</li>
<li>Experience with RAG architectures, vector databases / vector search, document chunking, metadata extraction, OCR/document understanding, and prompt engineering.</li>
<li>Exposure to agentic workflow patterns such as MCP tool integration, skills/plugins, handoffs, subagents, A2A, and evaluation frameworks for task completion and tool-call quality.</li>
<li>Familiarity with LangChain, Semantic Kernel, LangGraph, Microsoft Agent Framework, or similar orchestration libraries/frameworks is a plus.</li>
<li>Awareness of external regulations including SR 11-7, SR 23-4, AI use-case intake / inventory processes, privacy, cybersecurity, and third-party risk expectations in a regulated environment.</li>
<li>Ability to work in a constantly evolving environment.</li>
<li>Must have excellent written and verbal communication skills.</li>
<li>Demonstrate analytical, troubleshooting, and problem-solving skills.</li>
<li>The ability to learn new technologies quickly.</li>
<li>Self-directed individual with strong organizational and communication skills.</li>
<li>Ability to synthesize multiple sources of information with an understanding of the bigger picture needs and operations of the Bank.</li>
<li>Collaborative team player who can find practical solutions in a dynamic work environment.</li>
<li>Ability to handle ambiguity, manage multiple tasks at once, and shift effectively between priorities.</li></ul> 


Potential Salary: $120,000 - $150,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div>

Applied AI Analyst

Manpower Middle East

<div>
 
 
 BUSINESS SYSTEMS ANALYST (Arabic Speaker) - REAL ESTATE
 
 
 
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Contract Type:
 
 1‑Year Contract (Renewable)
 
 
 
 Salary:
 
 Up to AED 30,000 per month (all inclusive) + Visa
 
 
 
 Sector:
 
 Real Estate Development &amp; Asset Management
 
 
 
 
 
 
 The Enterprise Architect experience is Must*
 
 
 
 
 
 
 
 About the Company
 
 
 
 The company is a
 
 Saudi‑owned real estate organization established in 1884
 
 , with operations spanning
 
 commercial, residential, and warehouse assets
 
 , including
 
 acquisition and leasing activities
 
 . Over the past 18 years, the business has expanded significantly and is now undergoing a
 
 major transformation from a family‑run structure to a fully corporate, process‑driven enterprise
 
 .
 
 
 This role is a
 
 critical hire
 
 within a
 
 business‑wide transformation program
 
 , directly supporting the Chairman and senior leadership to redesign processes, improve governance, and enable scalable, technology‑supported operations.
 
 
 
 
 
 
 Role Purpose
 
 
 
 The Business Systems Analyst will designs and enables data-driven business systems, analytics, and AI-powered solutions to support the Real Estate Operating Model and informed enterprise decision-making. The role bridges business, technology, and governance teams to deliver integrated systems, process optimization, automation, and measurable performance improvements across real estate operations and finance
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Business Systems Analysis &amp; Requirements Management
 
 
 
 &squf; Lead end-to-end business and systems analysis, translating business needs into BRDs, Functional Specifications, System Requirement Documents, and RTMs.
 
 
 &squf; Facilitate structured stakeholder workshops to elicit, validate, and prioritize business, data, and system requirements.
 
 
 &squf; Ensure full traceability from business objectives &rarr; processes &rarr; systems &rarr; data &rarr; analytics &rarr; insights.
 
 
 &squf; Apply gap and impact analysis across processes, systems, data, and organizational capabilities.
 
 
 
 
 
 
 ERP, Data &amp; Enterprise Systems Enablement
 
 
 
 &squf; Support ERP and enterprise system initiatives including Yardi, SAP, Odoo, or equivalent platforms. &squf; Perform full-cycle ERP business analysis: requirements gathering, data mapping, integration specifications, and UAT support.
 
 
 &squf; Define system integration requirements, API flows, and technology stack dependencies.
 
 
 &squf; Act as the primary liaison between business users, system integrators, and technical teams
 
 
 
 
 
 
 Business Intelligence, Data &amp; Analytics
 
 
 
 &squf; Define business intelligence and reporting requirements, including dashboards, KPIs, metrics, and performance baselines.
 
 
 &squf; Support data modelling, data integration, and data quality assessment across ERP, property management, finance, and operational systems.
 
 
 &squf; Translate complex datasets into actionable insights and executive-level reports.
 
 
 &squf; Collaborate with BI teams on Power BI / Tableau solutions.
 
 
 
 
 
 AI, Automation &amp; Digital Enablement
 
 
 Operation Model &amp; Process Design
 
 
 Enterprise Architecture &amp; Alignment
 
 
 Performance Excellence, Governance &amp; Continuous Improvement
 
 
 Required Skills &amp; Experience
 
 
 
 
 
 
 PROFESSIONAL CERTIFICATIONS
 
 
 
 
 
 
 Skill Detail / Requirement
 
 <ul>
 <li>
 
 CBAP
 
 - IIBA &mdash; Certified Business Analysis Professional; valid at time of application
 </li>
 <li>
 
 Six Sigma
 
 - Green Belt minimum; Black Belt applied process improvement projects
 </li>
 <li>
 
 TOGAF
 
 - The Open Group &mdash; Foundation Level 1 min; Practitioner Level 2 preferred
 </li>
 <li>
 
 ArchiMate
 
 - The Open Group &mdash; Certified Practitioner Level 2 or higher
 </li>
 <li>
 
 PMP / PMI-PBA / PRINCE2
 
 - Any recognised project or programme management certification (mandatory).
 </li>
 <li>
 
 EFQM Assessor
 
 - EFQM Practitioner or Assessor training; post-transformation review capability.
 </li>
 </ul>
 
 
 
 
 
 BUSINESS ANALYSIS &amp; DOCUMENTATION
 
 
 <ul>
 <li>
 
 BRD authoring
 
 - Full lifecycle &mdash; scope, stakeholders, functional &amp; non-functional requirements, acceptance criteria (Mandatory)
 </li>
 <li>
 
 Process modelling (BPMN)
 
 - BPMN 2.0, AS-IS / TO-BE; insert models into Sparx Systems EA repository
 </li>
 <li>
 
 Gap &amp; impact analysis
 
 - Data, technology, people &amp; skills gap registers; prioritised by risk &amp; business impact (Mandatory)
 </li>
 <li>
 
 Value stream mapping
 
 - Six Sigma DMAIC; identify waste, bottlenecks and optimisation
 </li>
 </ul>
 <ol>
 <li>
 opportunities
 </li>
 </ol>
 <ul>
 <li>
 
 User stories &amp; acceptance criteria
 
 - Agile BA &mdash; linked to functional requirements for development teams
 </li>
 </ul>
 
 
 
 
 
 ERP, DATA &amp; SYSTEMS
 
 
 <ul>
 <li>
 
 ERP implementation BA Full cycle
 
 : requirements, data mapping, integration specification and UAT (mandatory)
 </li>
 <li>
 
 ODOO implementation experience
 
 - Leasing, property management, accounting and maintenance modules (mandatory)
 </li>
 <li>
 
 Data inventory &amp; quality
 
 - Current data inventory, GAP reports, governance assessment across all systems
 </li>
 <li>
 
 Technology stack mapping
 
 - Integration mapping, API flows, system performance baseline documentation
 </li>
 <li>
 
 BI &amp; reporting requirements
 
 - Target data reports, KPI dashboard specs &mdash; Power BI / Tableau experience
 </li>
 </ul>
 
 
 
 
 
 AI, AUTOMATION &amp; DIGITAL
 
 
 <ul>
 <li>
 
 AI solution design / claud MCP E.G
 
 - Requirements &amp; functional specs for ML,
 </li>
 <li>
 NLP, computer vision in real estate (Mandatory)
 </li>
 <li>
 
 RPA / intelligent automation
 
 - Process Discovery Documents (PDD), bot specifications and UAT support (Mandatory)
 </li>
 <li>
 
 Mobile app BA &mdash; one stop shop
 
 - Tenant/owner portal: payments, maintenance, communications, documents (Mandatory)
 </li>
 <li>
 
 PropTech awareness
 
 - IoT, smart building, digital twin platforms and vendors
 </li>
 <li>
 
 Data Lakes
 
 </li>
 </ul>
 
 
 
 
 
 KPIS, STRATEGY &amp; PERFORMANCE EXCELLENCE
 
 
 <ul>
 <li>
 
 KPI / OKR framework design -
 
 Balanced scorecard, leading &amp; lagging indicators, baselines, measurement cadence
 </li>
 <li>
 
 Strategy cascade -
 
 Enterprise objectives to department to role-level targets and performance reporting
 </li>
 <li>
 
 EFQM excellence model
 
 - Self-assessment, improvement planning, post-transformation review and submission
 </li>
 <li>
 
 APQC benchmarking
 
 - Process classification framework; embed best practices into TO-BE designs (Mandatory)
 </li>
 <li>
 
 Executive performance reporting
 
 - Transformation dashboards, status reports to VP and senior leadership
 </li>
 </ul>
 
 
 
 
 
 JIRA &amp; ATLASSIAN TOOLS
 
 
 <ul>
 <li>
 
 Jira &mdash; project &amp; issue management
 
 - Create, manage and track epics, stories, tasks and sub-tasks; configure workflows, Scrum/Kanban boards and sprints (Mandatory)
 </li>
 <li>
 
 Jira &mdash; backlog &amp; sprint management
 
 - Maintain and groom product backlogs; plan and execute sprints; track velocity and burndown metrics (Mandatory)
 </li>
 <li>
 
 Confluence &mdash; documentation &amp; wikis
 
 - Author and maintain project docs, decision logs, meeting notes, requirement pages and EA artefact repositories
 </li>
 <li>
 
 Atlassian ecosystem integration
 
 - Link Jira to Confluence and third-party tools (Slack, MS Teams); configure automation rules
 </li>
 <li>
 
 Jira administration &amp; configuration
 
 - Manage projects, permission schemes, custom fields, screens and workflow transitions
 </li>
 </ul>
 
 
 
 
 
 Language
 
 
 <ul>
 <li>
 
 Arabic and English &ndash; mandatory
 
 </li>
 </ul>
 
 
</div>

Business Analyst (Arabic Speaker)

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