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senior lead artificial intelligence solutions consultant ai architect

Wells Fargo

<div><b>Why Wells Fargo</b><br>
<br>
<b>Are you looking for more? Find it here.</b> At Wells Fargo, we're more than a financial services leader - we're a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job - it's about finding all of the elements to help you thrive, in one place.<br>
<br>
Living the Well Life means you're supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You'll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. Join us!<br>
<br>
<b>About this role:</b><br>
<br>
Wells Fargo is seeking a <b>Senior Lead Artificial Intelligence Solutions Consultant Architect</b> to lead the architecture, design and execution of enterprise AI capabilities, with a focus on Generative and Agentic-AI technologies. This role will work and partner with cross-functional teams to build scalable, intelligent solutions that transform user experiences and operational efficiency across the enterprise.<br>
<br>
<b>In this role, you will:</b><br>
<br>
<b>Architecture Leadership &amp; Technical Oversight</b><ul><li>
Lead the end-to-end architecture of enterprise-grade AI solutions, including Generative AI, Agentic AI, and hybrid systems.</li><li>
Define and enforce architectural standards, best practices, and governance models.</li><li>
Provide technical oversight across AI initiatives, ensuring scalability, security, and performance.</li></ul><b>
Strategic Governance &amp; Thought Leadership</b><ul><li>
Collaborate with cross-functional teams to align AI strategies with business objectives.</li><li>
Influence and guide the enterprise AI roadmap, identifying opportunities for innovation and transformation.</li><li>
Represent the AI function in strategic planning forums and executive reviews.</li></ul><b>
Executive Communication &amp; Stakeholder Engagement</b><ul><li>
Translate complex AI concepts into business-relevant narratives for C-level stakeholders.</li><li>
Present solution architectures, value propositions, and impact assessments to executive leadership.</li><li>
Build trust and credibility through clear, confident, and compelling communication.</li></ul><b>
Mentorship &amp; Enablement</b><ul><li>
Mentor and coach junior architects, data scientists, and engineering teams.</li><li>
Foster a culture of continuous learning and experimentation within the AI community.</li><li>
Enable teams through architectural reviews, design sessions, and hands-on guidance.</li></ul><b>
Required Qualifications:</b><ul><li>
7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul><b>
Desired Qualifications:</b><ul><li>
Experience with <b>AI/ML</b> architecture, solution design and delivery.</li><li>
Proven expertise in transformer-based architecture (e.g., <b>GPT, BERT, LLaMA</b>) and <b>SLMs</b>.</li><li>
Strong proficiency in <b>Python</b> and <b>ML frameworks</b> such as <b>PyTorch</b>, <b>TensorFlow</b>, and <b>Hugging Face Transformers</b>.</li><li>
Proven expertise in <b>Generative AI</b> (<b>LLMs</b>, diffusion models, etc.) and <b>Agentic AI</b> (autonomous agents, multi-agent systems).</li><li>
Hands-on experience with AI platforms (e.g., <b>Google Vertex AI, Azure AI, AWS SageMaker</b>, etc.), orchestration tools, and <b>MLOps</b> frameworks.</li><li>
Serve as a Subject Matter Expert (SME) in AI architecture, guiding teams through complex design decisions and risk evaluations.</li><li>
Strong understanding of data engineering, model lifecycle management, and AI governance.</li><li>
Certifications in cloud engineering and architecture (e.g., Google Cloud Certified Professional Cloud Architect, Azure Solutions Architect Expert) preferred.</li><li>
Publications, patents, or speaking engagements in AI-related domains preferred.</li><li>
Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field preferred.</li></ul><b>
Job Expectations:</b><ul><li>
This position is <b>NOT </b>eligible for Visa sponsorship.</li><li>
Ability to work on site per Wells Fargo's standard operating model in the listed location (hybrid schedule - 3 days on-site &amp; 2 remote).</li><li>
The ability to travel up to 10% of the time.</li></ul><b>
Posting Location:</b><ul><li>
Charlotte, NC</li><li>
Irving, TX</li></ul>
The Global Operations functions adhere to a location strategy; therefore, your candidacy may be determined based on your current location. Remote work locations are not available for these roles, so if you are not in a location listed on the posting, you must commit to self-relocation within an agreed upon timeframe.<br>
<br>
<b>Posting End Date:</b>
<br>
15 Mar 2026<br>
<b>*Job posting may come down early due to volume of applicants.</b>
<br>
<br>
<b>We Value Equal Opportunity</b><br>
<br>
Wells Fargo 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, status as a protected veteran, or any other legally protected characteristic.<br>
<br>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.<br>
<br>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.<br>
<br>
<b>Applicants with Disabilities</b><br>
<br>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .<br>
<br>
<b>Drug and Alcohol Policy</b><br>
<br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.<br>
<br>
<b>Wells Fargo Recruitment and Hiring Requirements:</b><br>
<br>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.<br>
<br>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Senior Lead Artificial Intelligence Solutions Consultant - AI Architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div>Senior AI/ML Developer</div><br>
<div><br>
</div><div>Seeking a Senior AI/ML Developer to build and scale end to end machine learning and Generative AI solutions for high impact financial use cases. This role combines strong hands on engineering with opportunities to lead architecture, mentor teams, and help shape AI strategy across the enterprise.</div><br>
<div><br>
</div><div>Key Responsibilities
</div><ul><li> Build and deploy full ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
</li></ul><ul><li> Develop GenAI/LLM solutions, including RAG, vector search, fine tuning, and prompt optimization.
</li></ul><ul><li> Build scalable Python-based services/APIs using TensorFlow/PyTorch, FastAPI/Flask, and cloud technologies.
</li></ul><ul><li> Implement MLOps practices with MLflow/Kubeflow/SageMaker/Azure ML, CI/CD, and automated orchestration (Airflow, Prefect, Autosys).
</li></ul><ul><li> Ensure data quality, security, and compliance with model governance (SR 11 7), explainability, and financial regulatory standards.
</li></ul><ul><li> Collaborate with cross functional teams to translate business needs into AI solutions; provide mentorship and perform code/design reviews.</li></ul><br>
<div><br>
</div><div>Required Qualifications
</div><ul><li> 5+ years of hands on with ML technologies.
</li></ul><ul><li> Expert Python and strong experience with ML/DL frameworks (TensorFlow, PyTorch, scikit learn)
</li></ul><ul><li> Hands on experience with LLMs, RAG architectures, vector databases, and GenAI toolkits
</li></ul><ul><li> Strong SQL/data engineering experience; proficiency with Spark/Databricks.
</li></ul><ul><li> Cloud engineering (Azure/AWS/GCP), Docker/Kubernetes, and CI/CD pipelines.
</li></ul><ul><li> Experience building production ML services and implementing monitoring for drift, performance, and reliability.
</li></ul><ul><li> Strong communication skills and ability to influence architecture and best practices.</li></ul><br>
<div><br>
</div><div>Nice to Have
</div><ul><li> Financial domain expertise (risk, fraud, forecasting, customer intelligence).
</li></ul><ul><li> Advanced ML topics: time series, graph ML, optimization, causal inference.
</li></ul><ul><li> ONNX/TensorRT model optimization and real time inference experience.
</li></ul><ul><li> Automation Background:
</li></ul><div>o RPA tools: Automation Anywhere,
</div><div>o Xceptor
</div><div>o Test automation: Selenium
</div><ul><li> Java or Angular knowledge for integrations with enterprise systems.
</li></ul><ul><li> Experience with observability tools (Splunk, Grafana)</li></ul><br>
<div><br>
</div><div>Salary Range- $95,000-$110,000 a year
</div><div>#LI-SP3
</div><div>#LI-VX1
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>398953</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$95,000-$110,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Senior AI/ML Developer

Realign

<div>Irving, Texas 75014 Posted February 28th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> Senior Generative AI Developer<br>
<b>Location </b>&ndash; Irving, TX / Tampa, FL / Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></div><div><b><br>
</b><br>
<b>Job Description:</b><br>
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.</div><div></div><div><b><br>
Key Responsibilities:</b><br>
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.<br>
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.<br>
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.<br>
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br>
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.<br>
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).<br>
Conduct performance tuning and optimization of AI models and APIs.<br>
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.</div><div><b><br>
Required Skills &amp; Qualifications</b><br>
8+ years of professional experience in software development and system design.<br>
Strong proficiency in Python and experience with FastAPI for API development.<br>
Hands-on experience with Generative AI frameworks and RAG architectures.<br>
Solid understanding of system and architecture design principles for distributed applications.<br>
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).<br>
Familiarity with vector databases, embedding models, and retrieval pipelines.<br>
Strong problem-solving skills and ability to work in a fast-paced environment.</div><div><b><br>
Preferred Qualifications</b><br>
Experience with LLM fine-tuning, prompt engineering, and model evaluation.<br>
Knowledge of containerization (Docker) and orchestration (Kubernetes).<br>
Exposure to CI/CD pipelines and DevOps practices.</div><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Senior Generative AI Developer-5

LTIMindtree

<div><b>Role description</b><p><br>
Role: Business Analyst with Lending</p>
<p>
Location: Irvinng, TX/Tampa, FL</p>
<p>
Duration: Fulltime</p>
<p></p>
<p>Looking for strong Business Analyst with atleast 2-3 project Lending experience.</p>
<p></p>
<p><b>Role Overview</b></p>
<p>
We are seeking a Business Analyst with strong expertise in Commercial Corporate Lending combined with an applied understanding of AIdriven analytics automation and data insights to support digital transformation across lending processes</p>
<p><b>
Key Responsibilities</b></p>
<p>
Collaborate with business and technology teams to translate lending business needs into clear BRDsFRDUser stories</p>
<p>
Lead end to end implementation of product features process enhancements and dataAIdriven solutions</p>
<p>
Analyze lending data to identify trends inefficiencies and opportunities for automation or AI application</p>
<p>
Support usecase development for AIML initiatives such as</p>
<p>
ocredit decisioning and risk scoring models</p>
<p>
odocument intelligence OCRNLP for financial statements loan docs covenants</p>
<p>
oanomaly detection for loan monitoring</p>
<p>
oAI based customer segmentation or behavioural insights</p>
<p>
Work with data scienceengineering teams to define data requirements validate model outputs and ensure business relevance</p>
<p>
Prepare detailed reports dashboards and presentations to communicate analytical insights and AIdriven recommendations</p>
<p>
Conduct impact analysis for AIenabled process changes and drive user adoption</p>
<p>
Required Skills Competencies</p>
<p>
Strong domain knowledge in Banking Financial Services especially Commercial Corporate Lending processes underwriting origination portfolio monitoring and credit operations</p>
<p>
Good understanding on the lending products like Syndicated loans leveraged loans and other products</p>
<p>
Strong analytical mindset with ability to interpret large datasets and translate insights into business decisions</p>
<p>
Handson expertise in SQL for data extraction validation and exploratory analysis</p>
<p>
Familiarity with AIML concepts such as predictive analytics NLP workflow automation model validation no coding required but conceptual understanding expected</p>
<p>
Experience working with AIenabled platformstools eg document intelligence workflow automation chatbots decision engines</p>
<p>
Ability to articulate AI use cases assess business value and manage stakeholder expectations around AI adoption</p>
<p>
Excellent communication and stakeholder management skills</p>
<p>
Strong planning documentation and timemanagement capabilities</p>
<p>
Strong knowledge of agile processes handson experience working in agile projects usage of tools like JiraConfluence</p>
<p>
Familiarity with Vendor applications like nCino Loan IQ could be an added advantage</p>
<p>
Preferred Qualifications</p>
<p>
Exposure to tools like Power BITableau Alteryx UiPath or cloud analytics platforms AzureAWSGCP</p>
<p>
External BA certifications such as IIBA AAC CCBA or CBAP</p>
<p>
Prior experience supporting or implementing AIML projects in BFSI</p><b><br>
Skills</b><p><b><br>
Mandatory Skills : </b>Corporate Lending</p><b><br>
Other details</b><p><br>
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):</p>
<p>
Benefits and Perks:</p>
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
<p>The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.</p><p></p>
<b>
Disclaimer</b>: The compensation and benefits information provided herein is accurate as of the date of this posting.<p></p>
<b>
LTIMindtree</b> is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.<p></p><b><br>
Benefits</b><br>
Compensation range: $90,032.00 to $128,080.00 per year<br>
<b>About LTM</b><br>
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Specialist - Consulting

TEEMA

<div><p><b>Job Summary</b></p><p>
Business Intelligence Analyst Senior</p><p>
TeemaGroup</p><p>
Full-time, Contract</p><p>
In-Office | Irving, TX, United States</p><p><b><br>
Senior Business Intelligence Analyst</b></p><p><b>
Onsite | Irving, TX</b></p><p>
Why This Role Matters</p><p>
As a <b>Senior Business Intelligence Analyst</b>, you will play a critical role in shaping how leaders understand and act on data across the organization.</p><p>
This is a hands-on, senior-level position for someone who enjoys building clean, scalable data models, translating complexity into clarity, and partnering closely with both technical teams and business stakeholders.</p><h3 class="jobSectionHeader"><b>
What You Will Do</b></h3><p><b>
Design &amp; Build Trusted Data Models</b></p><ul><li><p>
Design and implement high-performance data models using <b>star and snowflake schemas</b></p></li><li><p>
Create well-structured relationships, hierarchies, and calculated measures</p></li><li><p>
Ensure models are scalable, maintainable, and aligned with enterprise standards</p></li></ul><p><b>
Develop Impactful Power BI Solutions</b></p><ul><li><p>
Build intuitive, interactive dashboards and reports that answer real business questions</p></li><li><p>
Use <b>DAX</b> and <b>Power Query (M)</b> for advanced calculations and transformations</p></li><li><p>
Implement <b>row-level security (RLS)</b> and support workspace governance</p></li></ul><p><b>
Own the Power BI Architecture</b></p><ul><li><p>
Work across Power BI service layers, gateways, and premium capacities</p></li><li><p>
Integrate Power BI with <b>Azure Data Factory, SQL Server, and enterprise data sources</b></p></li><li><p>
Ensure compliance with data governance, security, and privacy standards</p></li></ul><p><b>
Optimize Performance at Scale</b></p><ul><li><p>
Monitor and improve report performance and dataset refresh strategies</p></li><li><p>
Apply best practices for <b>incremental refresh</b>, query folding, and large datasets</p></li></ul><p><b>
Collaborate and Lead</b></p><ul><li><p>
Partner closely with data engineers, analysts, and business leaders</p></li><li><p>
Provide guidance on Power BI adoption, workspace design, and governance frameworks</p></li><li><p>
Serve as a trusted advisor for BI best practices and standards</p></li></ul><h3 class="jobSectionHeader"><b>
What We Are Looking For</b></h3><p><b>
Education</b></p><ul><li><p>
Bachelor&rsquo;s degree strongly preferred</p></li><li><p>
Candidates without a Bachelor&rsquo;s degree must have <b>4+ years of relevant clinical or technical application experience</b> in lieu of a degree</p></li></ul><p><b>
Technical Expertise</b></p><ul><li><p>
Advanced experience with <b>Power BI Desktop and Power BI Service</b></p></li><li><p>
Strong command of <b>DAX, Power Query, and data modeling principles</b></p></li><li><p>
Experience with Power BI architecture, including gateways, deployment pipelines, and capacity planning</p></li></ul><p><b>
Data &amp; Analytics Background</b></p><ul><li><p>
Experience with <b>ETL processes, SQL, and data warehousing concepts</b></p></li><li><p>
Solid understanding of data governance, security, and best practices</p></li></ul><p></p>
#Workwolf</div>

Business Intelligence Analyst Senior

McKesson

<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></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></p><p>
McKesson is seeking a Director, Data &amp; Analytics to lead enterprise analytics, AI/LLM solution development, and data-driven innovation in support of Internal Audit and broader business partners. Reporting to the VP, IT Internal Audit, this leader will drive the modernization of data platforms, implement AI-enabled insights, and strengthen data governance across the audit lifecycle. The Director serves as a trusted business partner who can translate complex technical concepts into strategic, actionable insights.</p><p></p><h1 class="jobSectionHeader"><b>
Responsibilities:</b></h1><ul><li>
Develop and execute the data, analytics, and AI strategy for Internal Audit and cross-functional stakeholders</li><li>
Lead creation of enterprise-grade Power BI dashboards, analytics models, automation, and data pipelines</li><li>
Design and implement AI/LLM-based tools (e.g., generative AI copilots, NLP models) to enhance audit quality and efficiency</li><li>
Partner with Technology and Audit leaders to align data strategy with risk and business priorities</li><li>
Ensure adherence to McKesson data governance, privacy, and AI standards.</li><li>
Lead, mentor, and develop a high-performing analytics team while fostering innovation and continuous improvement</li><li>
Deliver executive-level presentations and insights to senior leaders</li><li>
Automate and standardize key analytics workflows to improve efficiency and accuracy</li></ul><p></p><h1 class="jobSectionHeader"><b>
Desired Skills:</b></h1><ul><li>
Proven track record of leading and upskilling high-performing teams</li><li>
Strong ability to build collaborative relationships and influence leaders across the enterprise</li><li>
Expertise in Power BI, Python, SQL, Azure data tools, and AI/LLM solution development</li><li>
Ability to translate technical concepts into business recommendations</li><li>
Strategic and analytical mindset with strong problem-solving skills</li><li>
Adaptability to shifting priorities and managing multiple complex initiatives</li></ul><p></p><h1 class="jobSectionHeader"><b>
Qualifications:</b></h1><h3 class="jobSectionHeader"><b>
Minimum Qualifications</b></h3><ul><li>
Degree or equivalent experience. Typically requires 12+ years of professional experience in analytics, data science, AI/ML, or business intelligence roles, and 4+ years of management experience leading analytics or technical teams</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with AI/LLM development strongly preferred</li><li>
Experience in Internal Audit, Risk, or Compliance is a plus</li><li>
Experience with cloud-based data ecosystems (Azure preferred)</li><li>
Experience working in Databricks, Workiva, and/or SAP is a plus</li></ul><p></p><p>
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, please click here.</p><p></p><p><b>
Our Base Pay Range for this position</b></p><p></p>
$137,000 - $228,400<p></p><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><p></p><p>
McKesson job postings are posted on our career site: careers.mckesson.com.</p><p></p><p><b>
McKesson is an Equal Opportunity Employer</b></p><p></p><p><br>
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 page.</p><p></p><p><br>
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.</p><p></p><p><b>
Join us at McKesson!</b></p></div><p></p>

Director, Data & Analytics

Keurig Dr Pepper

<div><b>Job Overview:</b><p><b><br>
Fall 2026 Co-op &ndash; </b><b>Quality </b><b>Standards</b><b> </b><b>&ndash; </b><b>Irving, </b><b>TX</b></p><p></p><p><br>
As a <b>Fall 2026 Co-op - </b><b>Quality</b><b> </b><b>Standards</b><b> </b>at Irving, TX Keurig Dr Pepper (KDP), you will be a part of the beverage revolution. You will be working in a fast-paced, highly technical environment that produces some of KDP&rsquo;s most popular beverages. Each co-op will lead high-impact projects and will be provided with opportunities to grow professionally. Come learn what it takes to succeed at an industry-leading company and help contribute to our ongoing success. While supporting the Supply Chain at KDP, your project work will include an opportunity to travel and work at a manufacturing site. You will see how it all comes together and how your work makes an impact.</p><p><br>
<br>
<b>Shift/Schedule:</b></p><ul><li>
The KDP Fall 2026 Co-op will run from July 13 - December 11, 2026</li><li>
Full-time; 40 hours per week</li><li>
Monday-Friday</li><li>
8:00am until 5:00pm</li><li>
In-Person</li></ul><p></p><p><b><br>
As a Fall </b><b>Co-op you will:</b></p><ul><li>
Work closely with Site Quality, Operations and Maintenance to document current protocols/practices for the management of centerline settings and parameters for packaging equipment based on specified quality acceptance criteria and targets</li><li>
Develop protocols for packaging machine management as a function of the quality control test plan for Finished Goods</li><li>
Apply analytical skills to identify packaging equipment capability based on measurement of critical to quality (CTQ) criteria</li><li>
Aid in the development and implementation of Can and PET bottle quality control plans</li><li>
Frequent interactions with KDP Packaging Standards team and Packaging R&amp;D team for guidance and subject matter support and to provide and present project status updates</li><li>
Engage with Manufacturing Operations and Maintenance teams to support project goals</li></ul><p></p><p><b><br>
Elements of the KDP Co-op Program include:</b></p><ul><li>
Engaging and partnering on innovative projects to gain experience in a challenging, cross functional team environment</li><li>
Participate in meet &amp; greets and lunch &amp; learns with KDP executives and other organization leaders</li><li>
Receive professional development training such as networking, professional skills development and presenting</li><li>
Be paired with a mentor to enhance your knowledge of other parts of the business and build your network</li><li>
Complete a project from start to finish and present it and your takeaways to your team, department vice president and other KDP stakeholders</li></ul>
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<b>Total Rewards:</b><br>
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$31.00/hour</li><li>
Paid bi-weekly</li><li>
$5,000 Sign-on Bonus, paid within first 30 days of employment</li></ul>
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<b>Requirements:</b><br>
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Must be an undergraduate currently enrolled in a full-time academic program from an accredited college or university, majoring in Engineering preferably; Mechanical, Industrial, Packaging Engineering or another related field.</li><li>
Available to work 40 hours per week (M-F, 8am-5pm)</li><li>
Excellent organizational skills and attention to detail with a demonstrated ability to manage multiple projects, prioritize requests, and meet deadlines</li><li>
Strong communication skills including excellent listening, written, and verbal abilities</li><li>
Ability to work cross-functionally, be independently driven, and a self-starter</li><li>
Strong skills in Microsoft Excel and PowerPoint</li><li>
Experience using AI or MS Power Automate is a plus</li></ul><p></p><p><b><br>
Please note: </b>You must be work authorized in the United States on a full time basis without the need for employer sponsorship now or in the future. The Company cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the future or cannot work now on a full time basis.</p><p></p><p><br>
We incorporate HireVue, an automated interview tool, into our campus recruitment process. Please visit this <b>link</b> to learn more about HireVue and how to prepare. *We recommend checking with your campus career center for additional preparation resources such as InterviewStream, Big Interview and more</p><br>
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<b>Company Overview:</b><p></p><p><br>
Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partners brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!
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Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that&rsquo;s proud of its brands, partnerships, innovation, and growth. Will you join us?
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We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work.<br>
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Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.</p><p></p><p><b><br>
A.I. Disclosure:</b><br>
KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to kdpjobs@kdrp.com.</p>
<b>Total Rewards </b><b>Requirements </b><b>Company Overview</b></div>

Fall 2026 Co-op - Quality Standards

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