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data engineer - production support Jobs in Irving

data engineer - production support

data engineer iii senior ai and gen ai

Expeditors

<div><b>Company Description</b><p><br>
&ldquo;We&rsquo;re not in the shipping business; we&rsquo;re in the information business&rdquo; -Peter Rose, Expeditors Founder</p><p>
Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.</p><ul><li>
15,000 trained professionals</li><li>
250+ locations worldwide</li><li>
Fortune 500</li><li>
Globally unified systems</li></ul><br>
<b>
Job Description</b><p><br>
We are seeking a highly skilled and hands-on <b>Data Engineer III or Senior Data Engineer</b> to <b>design, build, and operate enterprise-scale data pipelines, data products, and data platforms</b>, with a strong emphasis on <b>incorporating Generative AI capabilities</b> into production systems.</p><p>
This is <b>first and foremost a data engineering role</b>. The successful candidate will own the development of <b>reliable, scalable, and observable data systems</b> that power analytics, applications, and operational workflows, while also integrating <b>LLM-based and AI-enabled features</b> where they add clear business value.</p><p>
This role sits within the <b>engineering discipline</b> and works closely with the <b>architecture community</b>. You will partner with <b>data scientists, product teams, platform engineers, architects, and business stakeholders</b> to ensure that AI capabilities are <b>embedded within well-designed data systems</b>, not built in isolation.</p><p>
This position supports the <b>Americas geography under the Global Technology organization</b> and contributes to initiatives that enhance operations across <b>70+ offices in multiple countries</b>.</p><p></p><p><br>
A successful <b>Data Engineer III / Senior Data Engineer</b>:</p><ul><li>
Builds and operates <b>production-grade data pipelines, data platforms, and data products</b></li><li>
Incorporates <b>AI and Generative AI capabilities</b> into data systems in a pragmatic, maintainable way</li><li>
Designs systems that balance <b>scalability, reliability, cost, security, and observability</b></li><li>
Raises the bar for <b>engineering quality and operational excellence</b></li><li>
Acts as a <b>technical leader and mentor</b>, influencing design decisions and standards across teams</li></ul><p></p><p><b><br>
Major Duties and Responsibilities</b></p><p><b>
Data Engineering &amp; Data Platforms
</b></p><ul><li>Design and implement <b>scalable data ingestion, transformation, and serving pipelines</b></li><li>
Build and operate <b>data products and shared data services</b> that support analytics and applications</li><li>
Ensure <b>data quality, lineage, reliability, and observability</b> across systems</li><li>
Manage dependencies and impacts across <b>adjacent platforms and downstream consumers</b></li></ul><p><b>
AI &amp; Generative AI Enablement</b></p><ul><li>
Integrate <b>Generative AI capabilities</b> (LLMs, embeddings, RAG patterns, agentic workflows) into data pipelines, products, and services</li><li>
Design AI-enabled components that align with <b>enterprise-scale data and platform architectures</b></li><li>
Ensure AI features meet <b>governance, compliance, security, and observability requirements</b></li><li>
Partner with data scientists to <b>productionize AI models and experiments within data platforms</b></li></ul><p><b>
Cloud-Native Azure Development</b></p><ul><li>
Design, deploy, and operate <b>cloud-native data and AI systems on Azure</b></li><li>
Implement <b>Infrastructure as Code</b> (e.g., Bicep, Terraform) for secure, repeatable environments</li><li>
Build and maintain <b>CI/CD pipelines</b> supporting frequent, safe production releases</li><li>
Contribute to <b>engineering standards</b> for data and cloud platforms</li></ul><p><b>
Operational Excellence</b></p><ul><li>
Own or share responsibility for the <b>operational health</b> of data and AI systems</li><li>
Participate in <b>on-call rotations</b> and contribute to <b>resilient, self-healing architectures</b></li><li>
Optimize systems for <b>performance, reliability, and cost</b> at scale</li><li>
Demonstrate strong <b>incident response and operational decision-making</b></li></ul><p><b>
Technical Leadership &amp; Collaboration</b></p><ul><li>
Lead or significantly contribute to <b>technical designs</b> for data and AI-enabled systems</li><li>
Mentor engineers and <b>reinforce data and engineering best practices</b></li><li>
Partner with <b>architects, managers, and stakeholders</b> to align systems with business goals</li><li>
Advocate for <b>modern data engineering and AI platform patterns</b> across teams</li></ul><br>
<b>
Qualifications</b><p><b><br>
Minium Qualifications (Levelled at Offer)</b></p><p><b>
Data Engineer III:</b></p><ul><li>
Bachelor&rsquo;s degree with <b>5+ years</b>, or Master&rsquo;s with <b>3+ years</b>, or equivalent experience</li></ul><p><b>
Senior Data Engineer:</b></p><ul><li>
Bachelor&rsquo;s degree with <b>10+ years</b>, Master&rsquo;s with <b>5+ years</b>, or PhD with <b>3+ years</b></li></ul><p>
For both levels:</p><ul><li>
Proven experience building and operating <b>production-grade data pipelines and systems</b></li><li>
Experience incorporating <b>AI or Generative AI capabilities</b> into data-driven systems</li><li>
Experience with <b>CI/CD, containerization, and modern DevOps practices</b></li><li>
Ability to design <b>reliable, observable, and secure data platforms</b></li><li>
Strong proficiency in <b>Python and SQL</b></li></ul><p></p><p><b><br>
Desired Qualifications</b></p><ul><li>
Experience with <b>Azure-native data and platform services</b></li><li>
Familiarity with <b>LLMs, embeddings, RAG architectures, and AI orchestration frameworks</b></li><li>
Experience deploying systems with <b>governance, security, and compliance requirements</b></li><li>
Background in <b>platform engineering or internal data platforms</b></li><li>
Experience mentoring engineers or leading <b>cross-team technical initiatives</b></li></ul><br>
<b>
Additional Information</b><p><b><br>
The annual salary for this position is between $130,000 to $150,000.</b></p><p><b>
The position is an in-office/onsite position that is based in one of these locations.</b></p><ul><li><b>
Atlanta GA</b><ul><li>
2764 Anvilblock Rd, Ellenwood, GA 30294, USA</li></ul></li><li><b>
Detroit MI</b><ul><li>
Romulus Ave, Romulus, MI 48174, USA</li></ul></li><li><b>
Edison NJ</b><ul><li>
150 Raritan Center Pkwy, Edison, NJ 08837, USA</li></ul></li><li><b>
Dallas TX</b><ul><li>
1101 Valley View Ln, Irving, TX 75061, USA</li></ul></li></ul><p>
Expeditors also offers 26 remote days per year that can be used as needed.</p><p>
Position is full time (40 hours per week) Monday through Friday (in office). We are an office business attire company.</p><p>
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.</p><p><b>
Expeditors offers excellent benefits</b></p><ul><li>
Paid Vacation, Holiday, Sick Time</li><li>
Health Plan: Medical, Prescription Drug, Dental and Vision</li><li>
Life and Long Term Disability Insurance</li><li>
401(k) Retirement Savings Plan (US only)</li><li>
Employee Stock Purchase Plan</li><li>
Training and Personnel Development Program</li><li>
All your information will be kept confidential according to EEO guidelines.</li></ul><p>
For internal applicants, should you be interested in applying for this position, please discuss this opportunity with your supervisor.</p></div>

Data Engineer III/Senior (AI and Gen AI)

NTT DATA

<div>Company Overview:<br>
Req ID: 365619<br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
We are currently seeking a Data Scientist / ML engineer with 4+ years of experience to join their team in Irving, TX. This person should be comfortable with the following:<br>
<ul><li>Driving new data insights to uncover business opportunities &amp; revenue streams.</li><li>Have a firm understanding of statistics and data visualization for communication.</li></ul>
- Has an understanding of business growth areas &amp; how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.<br>
<ul><li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li><li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li><li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li></ul>
Key Responsibilities:<br>
<ul><li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li><li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li><li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li><li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li><li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li><li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li><li>Piping and processing massive data-streams in distributed computing environments.</li><li>Implement batch and real-time model scoring.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Apply business knowledge to analyze data, develop reports and solve problems &middot;Perform ad hoc analyses of data depending on business needs.</li><li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li></ul>
Basic Qualifications:<br>
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li><li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:</li></ul>
o Predictive Analytics<br>
o Data Design<br>
o Statistics<br>
o AI/ML<br>
o ML Ops<br>
<ul><li>3+ years of experience using Python and/or R to analyze disparate datasets.</li></ul>
Preferred Skills:<br>
<ul><li>Master's degree preferred.</li><li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li><li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible &quot;can-do &quot; attitude, and a commitment to success.</li><li>Professional verbal and written communication.</li><li>Undergraduate or Graduate degree preferred</li><li>1+ year of Gen AI / LLM hands on development experience</li></ul>
Minimum Skills Required: Basic Qualifications:<br>
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li><li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:</li></ul>
o Predictive Analytics<br>
o Data Design<br>
o Statistics<br>
o AI/ML<br>
o ML Ops<br>
<ul><li>3+ years of experience using Python and/or R to analyze disparate datasets.</li></ul>
<br>
About NTT DATA:<br>
<br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com<br>
<br>
<br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Data Scientist

<div><b>Company Overview:</b><br>
<b>Req ID: 365619</b><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
We are currently seeking a Data Scientist / ML engineer with 4+ years of experience to join their team in Irving, TX. This person should be comfortable with the following:
<ul><li>Driving new data insights to uncover business opportunities &amp; revenue streams.</li>
<li>Have a firm understanding of statistics and data visualization for communication.</li>
<li>Has an understanding of business growth areas &amp; how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.</li>
<li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li>
<li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li>
<li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li>
</ul><b>Key Responsibilities:</b><br>
<ul><li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li><li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li><li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li><li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li><li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li><li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li><li>Piping and processing massive data-streams in distributed computing environments.</li><li>Implement batch and real-time model scoring.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Apply business knowledge to analyze data, develop reports and solve problems &middot;Perform ad hoc analyses of data depending on business needs.</li><li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li></ul>
<br>
<b>Basic Qualifications:</b>
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li>
<li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:
<ul><li>Predictive Analytics</li>
<li>Data Design</li>
<li>Statistics</li>
<li>AI/ML</li>
<li>ML Ops</li>
<li>3+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul></li></ul><b>Preferred Skills:</b>
<ul><li>Master's degree preferred.</li>
<li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li>
<li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible &quot;can-do &quot; attitude, and a commitment to success.</li>
<li>Professional verbal and written communication.</li>
<li>Undergraduate or Graduate degree preferred</li>
<li>1+ year of Gen AI / LLM hands on development experience</li>
</ul><b>#LI-NorthAmerica</b><br>
About NTT DATA:<br>
<br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com<br>
<br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Citi

<div><div><div>Job Req Id:</div>
<div>26951448</div>
</div><div><div>Location(s):</div>
<div>Irving, Texas, United States, Jacksonville, Florida, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 20, 2026</div></div></div>
<br><div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.</p><p></p><p>
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients&rsquo; best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations &amp; Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.</p><p></p><p>
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We&rsquo;ll enable growth and progress together.</p><p></p><p><b>
Position Overview:
</b></p><p>The Senior Generative AI &amp; Testing Efficiency Developer is a senior-level role responsible for leading the design, development, and implementation of complex application systems. This position partners closely with technology, architecture, QA, and business teams to drive system enhancements, modernize platforms, and deliver high-impact solutions. The role is especially focused on advancing AI-powered and generative AI&ndash;driven testing capabilities across the enterprise.</p><div><h2 class="jobSectionHeader"><b>
Application Development &amp; Technical Leadership:</b></h2><ul><li><p>
Lead applications systems analysis, design, and programming activities in alignment with Citi&rsquo;s enterprise architecture.</p></li><li><p>
Partner with multiple management teams to integrate systems, deploy new products, and enable process improvements.</p></li><li><p>
Resolve high-impact, complex problems through deep analysis of business processes, system flows, and industry standards.</p></li><li><p>
Establish standards for coding, testing, debugging, and implementation.</p></li><li><p>
Develop a strong understanding of how architecture, infrastructure, and applications integrate to achieve business goals.</p></li><li><p>
Provide technical mentorship and coaching to mid-level developers and analysts; allocate work as needed.</p></li><li><p>
Assess and manage risk in all technical and business decisions, ensuring compliance with laws, regulations, internal policies, and ethical standards.</p></li></ul><h2 class="jobSectionHeader"><b>
AI‑Driven &amp; Generative AI Testing:</b></h2><ul><li><p>
Design and implement AI-powered testing solutions, including:</p><ul><li><p>
AI‑generated test cases</p></li><li><p>
Intelligent regression selection</p></li><li><p>
Self‑healing automation</p></li><li><p>
Automated defect and failure analysis</p></li></ul></li><li><p>
Develop and optimize LLM-based tools for:</p><ul><li><p>
Test data generation and scenario creation</p></li><li><p>
Requirements-to-test traceability</p></li><li><p>
Predictive test failure analysis</p></li></ul></li><li><p>
Embed generative AI capabilities into existing automation frameworks (e.g., Selenium, Playwright).</p></li><li><p>
Implement advanced GenAI techniques such as prompt engineering and Retrieval‑Augmented Generation (RAG) to enhance testing intelligence.</p></li><li><p>
Integrate AI-driven testing accelerators into CI/CD pipelines to reduce cycle time and improve stability.</p></li><li><p>
Support deployment, scalability, monitoring, and optimization of AI models in production environments.</p></li><li><p>
Contribute to real-time and streaming AI systems that enable continuous testing and rapid feedback loops.</p></li><li><p>
Ensure compliance with Responsible AI principles, data privacy requirements, governance standards, and quality controls.</p></li><li><p>
Stay current with emerging trends in generative AI and test automation; evangelize best practices across the organization.</p></li><li><p>
Mentor junior engineers and QA automation developers on AI-assisted testing methodologies.</p></li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills:</b></h2><ul><li><p>
Strong hands-on experience with LLM development, fine-tuning, and optimization.</p></li><li><p>
Expertise in RAG systems, hybrid search, and vector retrieval.</p></li><li><p>
Proficiency with ML frameworks such as PyTorch, TensorFlow, and Keras, including distributed training.</p></li><li><p>
Experience with GenAI tools and libraries including LangChain, LlamaIndex, LangGraph, Crew.ai, Autogen, Hugging Face, and cloud GenAI APIs (e.g., OpenAI, Claude, Gemini).</p></li><li><p>
Strong understanding of test automation frameworks (Selenium, Playwright).</p></li><li><p>
Experience integrating AI capabilities into testing pipelines (AI-generated tests, self-healing scripts, test impact analysis).</p></li><li><p>
Solid knowledge of CI/CD systems with a focus on continuous testing.</p></li><li><p>
Familiarity with QA methodologies, test strategy, functional and non-functional testing, and quality metrics.</p></li><li><p>
Advanced Python skills for automation tooling, data preprocessing, API development, and AI workflows.</p></li><li><p>
Experience with containerization and deployment technologies (Docker, Kubernetes).</p></li><li><p>
Practical knowledge of model optimization techniques.</p></li><li><p>
Strong understanding of AI governance, model guardrails, testing risk frameworks, and Responsible AI practices.</p></li><li><p>
Excellent collaboration and communication skills, with the ability to explain AI-driven testing strategies to both technical and non-technical audiences.</p></li><li><p>
Analytical, proactive mindset with a passion for experimentation, innovation, and mentoring.</p></li></ul><h2 class="jobSectionHeader"><b>
Qualifications:</b></h2><ul><li><p>
6+ years of relevant experience in applications development or systems analysis.</p></li><li><p>
Extensive experience in systems analysis and software application development.</p></li><li><p>
Proven success leading and delivering complex projects.</p></li><li><p>
Subject Matter Expert (SME) in at least one area of applications development.</p></li><li><p>
Demonstrated leadership, adaptability, and project management skills.</p></li><li><p>
Consistently strong written and verbal communication skills.</p></li></ul><h2 class="jobSectionHeader"><b>
Education:
</b></h2><ul><li><p>Bachelor&rsquo;s degree or equivalent practical experience required.</p></li><li><p>
Master&rsquo;s degree preferred.</p></li></ul></div><p><br>
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Irving Texas United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$125,760.00 - $188,640.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>Artificial Intelligence (AI), Java, Large Language Models (LLMs), Machine Learning (ML), Playwright (Software), Python (Programming Language), QA Automation, Selenium, Software Development.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Apr 28, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Senior Generative AI & Testing Efficiency Developer, Vice President

McKesson

<div><div><div><h2 class="jobSectionHeader"><b>Success Profile</b></h2>
<p>What makes a successful Lead Technical Product Manager &ndash; Finance AI? Here are the top traits.</p>
<div></div><div><ul><div>Conceptual</div>
<div></div><div>Proactive</div>
<div></div><div>Problem-Solver</div>
<div></div><div>Strategic</div>
<div></div><div>Technologically Savvy</div>
<div></div><div>Visual Thinker</div>
</ul></div></div></div><div></div>
<div><h2 class="jobSectionHeader"><div><b>Culture</b></div></h2>
<div></div><div><div><div><div><div><div><div>Accomplish</div>
<p>Make a meaningful impact by using your problem-solving skills to push the boundaries of innovation in healthcare, while maintaining a healthy work-life balance.</p>
</div></div></div><div></div><div><div><div><div>Innovate</div>
<p>Foster a digital mindset to drive IT transformation across McKesson through our evolving data and technology tools.</p>
</div></div></div><div></div><div><div><div><div>Grow</div>
<p>Join a supportive environment where you can advance your career and develop both personally and professionally.</p><br>
</div></div></div></div></div></div></div><div></div>
<div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<div></div><ul><div><h3 class="jobSectionHeader"><b>Coverage you can rely on</b></h3>
<ul><li>Medical, Dental, and Vision</li><li>
Health Spending Accounts</li><li>
Flexible Spending Accounts</li></ul>
</div><div></div><div><h3 class="jobSectionHeader"><b>Benefits that go beyond your base pay</b></h3>
<ul><li>401(k) (U.S.)</li><li>
Pension (Canada)</li><li>
Employee Stock Purchase Plan</li></ul>
</div><div></div><div><h3 class="jobSectionHeader"><b>Support for total well-being</b></h3>
<ul><li>Mental Health Programs</li><li>
Flexible Schedules</li><li>
Paid Time Off</li><li>
Wellness Program</li><li>
Education Reimbursement</li><li>
Volunteer Opportunities</li><li>
Flexible Work Environment</li></ul>
</div><div></div><div><h3 class="jobSectionHeader"><b>A culture powered by belonging</b></h3>
<div>By fostering a culture of belonging, we advance our goal of being the best place to work in healthcare&mdash;connecting the right talent to the right roles to solve our most critical challenges.</div><br>
</div></ul></div></div><div></div>
<div><div><h2 class="jobSectionHeader"><b>Responsibility</b></h2>
<div><p>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.</p><p>
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.</p><p>
The Lead Technical Product Manager (TPM) for AI for Oncology &amp; Multispecialty (O&amp;M) Finance will drive the strategy, development, and execution of AI‑powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&amp;M Finance. This role blends product strategy, technical depth, agile leadership, and cross‑functional influence &mdash; operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI‑enabled finance capabilities, translate business needs into high‑impact product features, and guide teams to deliver scalable digital solutions that improve top‑line and bottom‑line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority.</p><p><b>
Key Responsibilities</b>:</p><p><b>
Product Ownership &amp; Execution</b></p><ul><li><p>
Own and evolve the AI for O&amp;M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes.</p></li><li><p>
Convert ambiguous business problems into well‑defined project charters, success metrics, user stories, and technical requirements.</p></li><li><p>
Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities.</p></li><li><p>
Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics</p></li><li><p>
Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk.</p></li><li><p>
Define and evolve the technical implementation roadmap in partnership with data science and engineering</p></li></ul><p><b>
Technical Collaboration</b></p><ul><li><p>
Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards.</p></li><li><p>
Participate in sprint planning, standups, and retrospectives to promote on-time delivery.</p></li><li><p>
Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design.</p></li></ul><p><b>
Stakeholder Engagement</b></p><ul><li><p>
Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities.</p></li><li><p>
Regularly uses immediate customer feedback loops, incorporating customer &amp; user feedback into the prioritization of current product feature expansion, and new product development.</p></li><li><p>
Support customer discovery and usability testing to inform product decisions.</p></li></ul><p><b>
Project and Financial Management</b></p><ul><li><p>
Own financials for the program, including budget adherence and ROI analysis.</p></li><li><p>
Monitor project KPIs, risks, and resource allocation; report progress to leadership.</p></li></ul><p><b>
Communication and Documentation</b></p><ul><li><p>
Communicate progress, risks, and dependencies to cross-functional teams and executive audiences.</p></li><li><p>
Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams.</p></li><li><p>
Create and maintain product documentation, including technical specs, release notes, and user guides.</p></li></ul><p>
Minimum Requirement<b>:</b></p><ul><li><p>
Degree or equivalent and typically requires 10+ years of relevant experience</p></li></ul><p>
Critical Experience/Skills<b>:</b></p><ul><li><p>
10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI.</p></li><li><p>
Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation.</p></li><li><p>
Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices.</p></li><li><p>
Proven experience working with and influencing highly matrixed teams.</p></li><li><p>
Proven ability to build financial business cases and justify product investments.</p></li><li><p>
Excellent communication, leadership, and stakeholder management skills.</p></li></ul><p>
Additional Experience/Skills<b>:</b></p><ul><li><p>
Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus.</p></li><li><p>
Experience with financial modeling</p></li><li><p>
Optional but advantageous: oncology or healthcare revenue cycle management.</p></li><li><p>
The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc.</p></li><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree (in Computer Science, Information Systems, MBA in Finance or related field preferred).</p></li></ul><div>
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson,<div>
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Our Base Pay Range for this position</b></p>
$136,300 - $227,100<p>
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:<br>
<br>
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.</p><p><br>
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.</p><div>
McKesson job postings are posted on our career site: careers.mckesson.com<div>
(opens in new window)</div>
.</div><p><b>
McKesson is an Equal Opportunity Employer</b></p><div>
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity<div>
(opens in new window)</div>
 page.</div><div>
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com<div>
(opens in new window)</div>
 or (Canada) Accessibility@mckesson.ca<div>
(opens in new window)</div>
. Resumes or CVs submitted to this email box will not be accepted.</div><p><b>
Join us at McKesson!</b></p></div></div></div></div><div></div>

Lead Technical Product Manager – Finance AI

GM Financial

<div><p><b>Why GM Financial Technology?
</b></p><p>Innovation isn&rsquo;t just a talking point at GM Financial, it&rsquo;s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We&rsquo;re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
</p><p>Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.</p></div>
<br><div><p><b>About the role:
</b></p><p>The Scrum Master II is a servant leader that supports the development team and product owner to increase business agility and maximize value delivered.
</p><p><b>In this role, you will:
</b></p><ul><li>Guiding and coaching the Scrum Teams on how to apply agile values and principles, and use the Scrum Framework to delight customers
</li><li>Protect the development team from outside influences and remove impediments
</li><li>Building a trusting and safe environment where problems can be raised without fear of blame, retribution, or being judged, with an emphasis on healing and problem solving
</li><li>Facilitating getting the work done without coercion, assigning, or dictating the work
</li><li>Assisting with internal and external communication, improving transparency, and radiating information
</li><li>Supporting and educating the Product Owner, especially with respect to refining and ordering the product backlog
</li><li>Working closely with the Product Owner to ensure product backlog is visible and prioritized towards business value
</li><li>Facilitating various Scrum events such as: Daily Scrum, Sprint Planning, Sprint Reviews, and Sprint Retrospectives
</li>Empowering the team to be self-organized<br>
<li>
</li></ul><p></p><p><b>What makes you a dream candidate?
</b></p><ul><li>Must exhibit strong knowledge of agile frameworks including Scrum from multiple teams/products
</li><li>Demonstrated evidence of a servant leadership mindset
</li><li>Proficient in the use of Agile delivery tools such as TFS, Jira or Azure DevOps
</li><li>Demonstrated evidence of continuous learning mindset
</li><li>Ability to teach and train on Agile, Scrum, Kanban at a level accessible to beginners and dive deep for advanced topics
</li><li>A change agent; progressively challenging the team to continuously improve
</li><li>Good understanding of product and sprint backlog tracking, burn down metrics and velocity
</li><li>Good negotiation, leadership, and written and verbal communication skills
</li><li>Good knowledge, skills, and ability working in a collaborative team environment
</li><li>Excellent people skills, with an ability to understand and diverse viewpoints
</li><li>High Emotional Intelligence (self-awareness, self-regulation, motivation, empathy and social skills)
</li><li>Ability to understand GM Financials business; apply knowledge and critical thinking skills in day-to-day problems and solutions
</li><li>Ability to facilitate, coach and guide through influence, inspiration, collaboration and teamwork
</li><li>Ability to listen and communicate effectively with others both verbally and in writing
</li><li>Ability to coach and train Agile teams about their role before, during and after PI Planning
</li><li>Establish DoR, DoD with teams and Product owner on Story and Feature level wherever applicable
</li><li>Support Release Train Engineer, IT Lead and business leaders by facilitating all the SAFe ceremonies including PI Planning, SOS, PO sync, inspect and adapt
</li><li>Provides coaching and training to the Agile Team(s) on how to execute the Scrum framework</li></ul></div>
<br><div><p><b>Experience:
</b></p><ul><li><p>Scrum Master Certification (CSM or PSM) or PMI-ACP Req
</p></li><li><p>2-4 years experience as Scrum Master Req
</p></li><li><p>High School Diploma or equivalent required
</p></li><li><p>Bachelor&rsquo;s Degree or additional equivalent work or military experience<br>
</p></li></ul><p></p><p><b>What We Offer: </b>Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
</p><p><b>Our Culture: </b>Our team members define and shape our culture &mdash; an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work &mdash; we thrive.
</p><p><b>Compensation: </b>Competitive pay and bonus eligibility.
</p><p><b>Work Life Balance: </b>Flexible hybrid work environment, 2 days a week in the office.
</p><p>#GMFJobs
</p><p>#LI-ST1
</p><p>#LI-Hybrid</p></div>

Scrum Master II

Photon

<div><p><b>Senior Engineer in Production Management (Big Data - Snowflake Focused)
</b></p><p>The Senior Engineer in Production Management, specializing in Big Data with a focus on Snowflake, will be responsible for the design, development, and overall implementation of robust and scalable data solutions in a complex, critical, and large cross-departmental and multi-disciplinary area. This role is crucial for building robust pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives..
</p><p>The role requires a comprehensive understanding of various facets of Big Data technologies and how they interact to achieve strategic data objectives. The candidate will apply in-depth understanding of the business impact of data-driven insights and be accountable for the delivery of a full range of end-to-end data engineering projects.
</p><p><b>Responsibilities:
</b></p><ul><li>Demonstrates an in-depth understanding of the Software Development Lifecycle and its integration within the overall data technology landscape to deliver scalable, reliable, and performant Big Data solutions, particularly within Snowflake.
</li><li>Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.
</li><li>Optimize Big Data workflows, including Snowflake query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.
</li><li>Perform rigorous unit testing and validation of data pipelines and transformations.
</li><li>Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.
</li></ul><p><b>Qualifications:
</b></p><ul><li>Relevant experience in a critical Big Data engineering role with high business impact, and a strong ability to understand how data solutions deliver business value.
</li><li>Excellent engineering skills with expertise in Snowflake data warehousing.
</li><li>Excellent working knowledge of key computer science concepts, especially as they apply to distributed systems, data structures, and algorithms for large-scale data processing.
</li><li>Excellent understanding of data engineering concepts like Data Modeling, Data Lakes, Data Warehouses, and Data Marts.
</li><li>Strong debugging and analytical skills: ability to isolate root causes across data pipelines, Snowflake, cloud infrastructure, and data processing layers.
</li><li>Operational experience of designing, deploying, and managing data pipelines and Snowflake solutions at scale, potentially leveraging cloud platforms (AWS) and related services.
</li><li>Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, dbt, etc.) is highly desirable for data platform automation.
</li><li>Degree in computer science/mathematics/physics or related technical subject is desirable.
</li><li>Excellent critical thinking and problem-solving skills with a strong analytical mindset.
</li><li>Ability to work independently and collaboratively in a fast-paced environment.
</li><li>Strong communication skills to articulate technical concepts and solutions effectively.
</li></ul><p><b>Role Skills Matrix:
</b></p><div><div><div><div><p><b>Skill<br>
</b></p></div><div><p><b>Rating*<br>
</b></p></div></div><br>
<div><div><p>Snowflake (Or any other Big Data solution)<br>
</p></div><div><p>5<br>
</p></div></div><br>
<div><div><p>Python (Data Engineering)<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>Data Warehousing Concepts<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>Data Modelling (Dimensional/Relational)<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>Cloud Platforms (AWS)<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>SQL<br>
</p></div><div><p>5<br>
</p></div></div><br>
<div><div><p>High Availability Systems (Data)<br>
</p></div><div><p>4<br>
</p></div></div><br>
</div></div><p></p><ul><li>Ratings are 1-5, with 1 being the lowest and 5 being the highest. To interpret the numbers, use the following scale:
</li></ul><p>1 = Junior contributor, understands key concepts and can operate with close supervision
</p><p>2 = Proficient contributor, fully grasps the key concepts, but no production experience
</p><p>3 = Independent contributor, understands technology well and has delivered production systems
</p><p>4 = Senior Independent contributor, operates the technology on the cutting edge and can implement use cases with limited community support
</p><p>5 = Lead industry contributor, operates the technology on the bleeding edge and can commit changes to the technology's roadmap<br>
</p><p></p><p><b>Compensation, Benefits and Duration
</b></p><p>Minimum Compensation: USD 36,000
<br>
Maximum Compensation: USD 126,000
<br>
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
<br>
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
<br>
This position is not available for independent contractors
<br>
No applications will be considered if received more than 120 days after the date of this post</p></div>

Data Science - Senior Engineer in Production Management (Big Data - Snowflake Focused) - Irving

Explore 173+ Data engineer iii senior ai and gen ai in Irving this May. Find roles across top companies and apply now to boost your career.

173 data engineer iii senior ai and gen ai jobs In Irving

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Data Science - Senior Engineer in Production Management (Big Data - Snowflake Focused) - Irving