data science team lead

InnovationTeam

<div><p>InnovationTeam is a forward-thinking technology company specialized in delivering advanced AI-driven solutions for enterprises and government organizations. We are currently seeking a highly skilled AI Team Lead to join our team onsite in Saudi Arabia.</p><p>
As an AI Team Lead at InnovationTeam, you will be responsible for leading the design, development, implementation, and delivery of end-to-end AI solutions across multiple domains, including Generative AI, machine learning, deep learning, data science, computer vision, NLP, intelligent automation, and enterprise AI systems.</p><p>
This role is not limited to Generative AI. It requires a strong technical background across modern AI technologies, hands-on experience in building production-ready AI solutions, and the leadership capability to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams.</p><p>
The ideal candidate is a strong technical leader who can translate business requirements into scalable AI solutions, manage project execution, guide technical teams, communicate with stakeholders, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.</p><p>
At InnovationTeam, we value innovation, ownership, collaboration, and continuous learning. We provide a dynamic work environment where technical excellence, leadership, and business impact are highly recognized.</p><b><br>
Requirements</b><p><br>
We are seeking an experienced AI Team Lead to lead onsite AI delivery in Saudi Arabia. The role involves managing AI projects, supervising technical teams, designing AI architectures, developing enterprise-grade solutions, and ensuring successful deployment of AI systems into production.</p><p>
The candidate should have strong experience in Generative AI, machine learning, deep learning, data science, AI solution architecture, MLOps/LLMOps, cloud deployment, and project management.</p><p><b>
Key Responsibilities</b></p><ul><li>
Lead the AI team in designing, developing, and delivering enterprise AI solutions.</li><li>
Manage AI projects from requirement gathering to production deployment.</li><li>
Translate business needs into technical AI solution designs and implementation plans.</li><li>
Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.</li><li>
Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.</li><li>
Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.</li><li>
Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.</li><li>
Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.</li><li>
Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.</li><li>
Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.</li><li>
Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.</li><li>
Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.</li><li>
Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.</li><li>
Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.</li><li>
Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.</li><li>
Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.</li><li>
Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.</li></ul><p><b>
Required Skills &amp; Qualifications</b></p><ul><li>
Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.</li><li>
Minimum 2&ndash;3 years of experience leading AI teams or managing AI solution delivery.</li><li>
Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.</li><li>
Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.</li><li>
Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.</li><li>
Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.</li><li>
Experience in building and deploying ML/DL models for real-world enterprise use cases.</li><li>
Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.</li><li>
Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.</li><li>
Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.</li><li>
Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP. OCI experience is preferred.</li><li>
Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.</li><li>
Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.</li><li>
Ability to communicate complex technical concepts clearly to business and technical stakeholders.</li><li>
Excellent problem-solving, analytical, leadership, and decision-making skills.</li><li>
Excellent command of English, both written and spoken.</li><li><b>
Willingness to work onsite in Saudi Arabia.</b></li></ul><p><b>
Nice to Have</b></p><ul><li>
Experience in government, healthcare, finance, telecom, or regulated enterprise environments.</li><li>
Experience with GPU-based model training and inference optimization.</li><li>
Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.</li><li>
Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.</li><li>
Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.</li><li>
Experience in presales, technical proposal preparation, and client-facing solution presentations.</li><li>
Arabic language skills are an advantage.</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
Opportunity to lead strategic AI initiatives in Saudi Arabia.</li><li>
Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.</li><li>
Leadership role with direct impact on enterprise and government AI transformation projects.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Competitive compensation package.</li><li>
Access to modern AI infrastructure, cloud platforms, and enterprise data environments.</li><li>
Professional growth, leadership development, and continuous learning opportunities.</li></ul></div><p></p>

AI Team Lead

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><div><div>
<b>Position Responsibilities</b>
</div><div>
<br>
As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people development and operational process optimization&mdash;translating strategy into execution by aligning cross‑functional partners, contributing to marketplace KPIs.
</div><div><b>Position Requirements</b>
</div><div><ul><li>Very good knowledge of the foundations of machine learning and statistics
</li></ul></div><div><ul><li>Experience in building large scale ML systems involving machine learning, supervised and unsupervised and deep learning.
</li></ul></div><div><ul><li>Hands on experience in Computer Visions and NLP. Gen AI, Agentic AI
</li></ul></div><div><ul><li>Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle.
</li></ul></div><div><ul><li>Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives.
</li></ul></div><div><ul><li>Partner with other cross location data science teams to ensure continuous development and monitoring of Marketplace ML models.
</li></ul></div><div><ul><li>Oversee the end-to-end data science lifecycle: problem scoping, literature review, model design, algorithmic optimization, engineering integration, deployment, monitoring, and impact measurement.
</li></ul></div><div><ul><li>Drive AI innovation in marketplace AI models, including experimentation with new models and algorithms to improve accuracy and efficiency.
</li></ul></div><div><ul><li>Ensure robust model governance, model monitoring, reproducibility, and ethical AI practices.
</li></ul></div></div><div><div><ul><li>Communicate complex technical concepts and business impact effectively to technical and non-technical stakeholders, including senior leadership.
</li></ul></div><div><ul><li>Communicate complex technical concepts to non-technical audiences and executive leadership.
</li></ul></div><div><ul><li>Stay current with industry trends and emerging technologies in data science and AI.
</li></ul></div><div><b>Qualifications</b>
</div><div><ul><li>Masters &gt; 14 years OR Ph.D. in Comp Science/Statistics/Mathematics with &gt; 12 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
</li></ul></div><div><ul><li>Experience of acting as a people lead for &gt; 5 years
</li></ul></div></div>At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
<br>
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
<br>
The annual salary range for this position is $156,000.00 - $312,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.<br>
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.<br>
Option 3: 8 years' experience in an analytics or related field<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
10900 Ne 4th St, Bellevue, WA 98004, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

Director- Data Science

Altraq Computer Tech

<p>Head of Data Science</p><p><b>Location:</b> Salalah, Oman<br/><b>Company:</b> Altraq Computer Tech<br/><b>Position Type:</b> Full-time</p><p>About Altraq Computer Tech</p><p>Altraq Computer Tech is a technology-driven enterprise based in Salalah, dedicated to advancing digital innovation and data-driven solutions. We are seeking a visionary <b>Head of Data Science</b> to lead our analytics and AI initiatives, ensuring that data insights drive strategic decision-making and innovation across the organization.</p><p>Role Overview</p><p>The Head of Data Science will be responsible for building and leading a high-performing data science team, developing advanced models, and aligning data strategies with business objectives. This role requires strong technical expertise, leadership, and the ability to transform data into actionable intelligence.</p><p>Key Responsibilities</p><ul><li><b>Data strategy</b>: Define and execute the company&rsquo;s data science roadmap.</li><li><b>Advanced analytics</b>: Develop predictive and prescriptive models to support business growth.</li><li><b>Machine learning</b>: Architect and deploy scalable ML solutions.</li><li><b>Data governance</b>: Ensure data quality, compliance, and ethical use of AI.</li><li><b>Innovation leadership</b>: Evaluate emerging technologies and drive adoption of cutting-edge tools.</li><li><b>Collaboration</b>: Partner with stakeholders across IT, product, and business units.</li><li><b>Team leadership</b>: Build, mentor, and lead a world-class data science team.</li></ul><p>Qualifications</p><ul><li>Proven experience as a <b>Head of Data Science</b> or senior data leadership role.</li><li>Strong expertise in <b>machine learning frameworks</b> (TensorFlow, PyTorch, Scikit-learn).</li><li>Hands-on experience with <b>cloud data platforms</b> (AWS, Azure, Google Cloud).</li><li>Deep knowledge of <b>data engineering</b>, <b>MLOps</b>, and <b>AI ethics</b>.</li><li>Excellent leadership, communication, and strategic thinking skills.</li><li>Advanced degree (MSc/PhD) in Computer Science, Data Science, or related field preferred.</li><li>Relevant certifications in AI/ML or cloud platforms are highly desirable.</li></ul><p>Why Join Altraq Computer Tech?</p><ul><li>Lead transformative data science initiatives in Salalah.</li><li>Work in a collaborative, innovation-driven environment.</li><li>Competitive compensation and benefits.</li><li>Career growth with exposure to cutting-edge data science technologies.</li></ul><p>Pay: RO2,800.000 - RO4,000.000 per month</p><p>Work Location: In person</p>

Head of Data Science

Radiance Technologies Inc.

<div><p><b>Advanced Trade Analytics Platform (ATAP)</b><br>
<b>Remote (U.S.)</b><br>
<b>Active Top Secret Clearance Required</b></p><p><b>
Lead Advanced Analytics and AI Solutions for National Security</b></p><p></p><p>
Radiance Technologies is seeking an experienced Senior Data Scientist to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will lead the design and development of advanced analytics, machine learning, and artificial intelligence solutions that support mission-critical decision-making and trade enforcement operations.</p><p>
You will collaborate with government leaders, engineers, analysts, and data scientists to solve complex business challenges, develop innovative analytical capabilities, and guide the technical direction of data science initiatives.</p><p></p><p><b>
What You'll Do</b></p><ul><li>
Lead the design, development, validation, and deployment of machine learning and AI solutions.</li><li>
Conduct applied research and develop analytical approaches to solve complex mission challenges.</li><li>
Design and execute studies using large-scale structured and unstructured datasets.</li><li>
Develop statistical models, predictive analytics solutions, and advanced analytical methodologies.</li><li>
Advise program leadership on technical strategies, emerging technologies, and analytical best practices.</li><li>
Deliver analytical findings through reports, visualizations, dashboards, and executive briefings.</li><li>
Lead model validation, quality assurance, and technical review activities.</li><li>
Mentor data scientists and analysts while providing technical leadership across project teams.</li><li>
Collaborate with stakeholders to identify mission gaps and data-driven solutions.</li><li>
Support strategic planning and capability development initiatives.</li><li>
Participate in Agile development activities and cross-functional team collaboration.</li></ul><p></p><p><b>
Required Qualifications</b></p><p><b>
Education</b></p><p>
Master's Degree or Ph.D. in:</p><ul><li>
Data Science</li><li>
Statistics</li><li>
Applied Mathematics</li><li>
Computer Science</li><li>
Operations Research</li><li>
Artificial Intelligence</li><li>
Machine Learning</li><li>
Or a related quantitative discipline</li></ul><p><i>
A Ph.D. may substitute for up to three years of relevant experience.</i></p><p></p><p><b>
Experience</b></p><ul><li>
Ten (10) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.</li><li>
Seven (7) years of direct machine learning experience.</li><li>
Experience developing and deploying machine learning models in production environments.</li><li>
Experience leading technical teams and advanced analytics initiatives.</li><li>
Experience working with large-scale datasets and complex analytical problems.</li><li>
Experience presenting technical findings to executive and stakeholder audiences.</li></ul><p></p><p><b>
Knowledge &amp; Skills</b></p><ul><li>
Expertise in machine learning, artificial intelligence, statistical modeling, and data mining.</li><li>
Strong understanding of model validation and analytical evaluation techniques.</li><li>
Ability to communicate complex technical concepts to technical and non-technical audiences.</li><li>
Strong leadership, mentoring, consulting, and problem-solving skills.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience supporting CBP, DHS, defense, intelligence, law enforcement, or trade enforcement missions.</li><li>
Experience with trade analytics, fraud detection, risk scoring, targeting, or investigative analytics.</li><li>
Experience with Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Explainable AI, and MLOps.</li><li>
Experience with Databricks, Spark, AWS GovCloud, Azure Government, and cloud-native analytics platforms.</li></ul><p><b>
Preferred Technical Skills</b></p><ul><li>
Python</li><li>
SQL</li><li>
R</li><li>
Spark</li><li>
Databricks</li><li>
TensorFlow</li><li>
PyTorch</li><li>
Scikit-Learn</li><li>
Power BI</li><li>
Tableau</li><li>
Git</li><li>
Agile Methodologies</li></ul><p></p><p><b>
Security Requirements</b></p><ul><li>
Active Top Secret security clearance required.</li><li>
Ability to obtain and maintain access to DHS and CBP systems and facilities.</li></ul><p></p><p><b>
Why Radiance?</b></p><p>
Radiance Technologies is a 100% employee-owned company dedicated to solving complex national security challenges through innovation, technical excellence, and mission-focused solutions. We empower our employees to grow professionally while working on meaningful programs that make a real impact.</p><p></p><p><b>
Benefits</b></p><ul><li>
100% Employee-Owned (ESOP)</li><li>
Remote Work Flexibility</li><li>
Meaningful National Security Mission</li><li>
Career Growth and Leadership Opportunities</li><li>
Exposure to Advanced AI and Analytics Technologies</li><li>
Collaborative and Innovative Culture</li><li>
Professional Development Opportunities</li><li>
Competitive Compensation and Benefits</li></ul><p>
Join Radiance Technologies and help transform data into mission success.</p><p></p><p>
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.</p></div>

Senior Data Scientist

PrizePicks

<div><div><p>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</p></div><p>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.</p>
<h1 class="jobSectionHeader"><b>
What you'll do:</b></h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader"><b>What you have:</b></h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes<br>
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Where you'll live:</b></h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader"><b>Working at PrizePicks:</b></h1>
<p>
The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.</p>
<p>
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.</p>
<p>
Date Posted: 5/11/2026</p>
<p>
First Extension: 6/11/2026</p><p></p><div><h1 class="jobSectionHeader"><b><br>
Benefits you'll receive:</b></h1>
<p>
In addition to your great compensation package, full-time employees will be eligible for the following perks:</p>
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
<p><b>You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.</b></p>
<p><i>
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</i></p></div></div>

Senior Data Science Manager - Marketing Science

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems?</p><p>
As a Data Owner Senior Associate, you'll leverage AI and ML to make data AI-ready. You'll be leveraging Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank (CCB) Operations Data Owner team. The CCB Data &amp; Analytics team responsibly leverages data from across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</p><p><b>
Job Responsibilities</b>:
</p><ul><li>Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries, LLMs, and vendor solutions to enable seamless integration of AIML models with business data needs.
</li><li>Design and demonstrate POCs for making structured and unstructured data AI-ready. Build and iterate on prototype solutions.
</li><li>Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
</li><li>Closely collaborate with Engineering and Data Science to productionalize your POCs.</li><li>
Analyze diverse data assets and sources to prioritize, developing insights that lead to actionable recommendations for sequencing.
</li></ul><p></p><p><b>Required qualifications, capabilities and skills</b>:
</p><ul><li>Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
</li><li>5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).
</li><li>Strong Proficiency in Python.
</li><li>Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.
</li><li>Proficiency with data table operations (SQL, etc.).
</li><li>Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx.
</li><li>Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.
</li></ul><p></p><b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><p></p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
<br>
<div>Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.<br>
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<div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Data Owner Senior Associate

Al Khuwair Construction

<p>About Us</p><p>Al Khuwair Construction is a leading construction and infrastructure development company specializing in residential, commercial, industrial, and civil engineering projects. We are committed to delivering high-quality construction solutions through innovation, safety, operational excellence, and sustainable growth.</p><p>As part of our digital transformation strategy, we are seeking a visionary and experienced <b>AI Technology Director</b> to lead the adoption and implementation of artificial intelligence technologies that will enhance project delivery, operational efficiency, safety performance, and business intelligence across the organization.</p><p>Position Overview</p><p>The AI Technology Director will be responsible for developing and executing the company's AI strategy, identifying opportunities for innovation, and leading the deployment of advanced technologies across construction operations, project management, engineering, procurement, and corporate functions. This executive leadership role will work closely with senior management to drive technology-enabled growth and competitive advantage.</p><p>Key Responsibilities</p><ul><li>Develop and implement the company's artificial intelligence and digital innovation strategy</li><li>Identify opportunities to leverage AI, machine learning, predictive analytics, automation, and data science across construction and engineering operations</li><li>Lead enterprise-wide AI initiatives that improve project planning, scheduling, resource allocation, cost management, and risk assessment</li><li>Oversee the design, development, deployment, and management of AI-powered solutions and intelligent business systems</li><li>Implement predictive analytics for project forecasting, equipment maintenance, workforce planning, and operational performance</li><li>Utilize AI technologies to enhance safety monitoring, quality assurance, and compliance management</li><li>Establish AI governance frameworks, cybersecurity standards, data privacy controls, and ethical AI practices</li><li>Collaborate with executive leadership to align technology investments with business objectives</li><li>Lead multidisciplinary teams of AI engineers, data scientists, software developers, analysts, and technology professionals</li><li>Evaluate emerging technologies, strategic partnerships, and vendor solutions</li><li>Develop advanced business intelligence platforms and reporting capabilities</li><li>Manage AI project portfolios, budgets, timelines, resources, and performance metrics</li></ul><p>Qualifications</p><ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field</li><li>Master's degree, MBA, or PhD preferred</li><li>Minimum 8+ years of progressive technology leadership experience</li><li>Proven experience implementing AI, machine learning, automation, and advanced analytics solutions within enterprise environments</li><li>Strong knowledge of cloud computing, data engineering, AI platforms, enterprise systems, and cybersecurity frameworks</li><li>Experience leading digital transformation and innovation initiatives</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Strong strategic thinking, analytical, and problem-solving capabilities</li></ul><p>Preferred Qualifications</p><ul><li>Experience within construction, engineering, infrastructure, industrial services, or project-based industries</li><li>Knowledge of Building Information Modeling (BIM), construction management software, digital twins, IoT technologies, and smart construction solutions</li><li>Experience with predictive maintenance, computer vision, intelligent automation, and AI-driven project controls</li><li>Professional certifications in AI, cloud technologies, project management, cybersecurity, or data science are highly desirable</li><li>Familiarity with construction regulations, safety standards, and large-scale infrastructure projects</li></ul><p>What We Offer</p><ul><li>Competitive executive-level compensation package</li><li>Performance-based bonus opportunities</li><li>Comprehensive health and benefits program</li><li>Professional development and executive leadership growth opportunities</li><li>Innovative and technology-focused work environment</li><li>Opportunity to lead transformative AI initiatives within a growing construction organization</li><li>Direct involvement in strategic planning, digital transformation, and business innovation</li><li>Long-term career growth and leadership opportunities</li></ul><p>Pay: QAR45,000.00 - QAR50,000.00 per month</p><p>Work Location: In person</p>

AI Technology Director

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