data scientist / ai automation specialist

salesforce commerce cloud and demandware developer

senior lead artificial intelligence solutions consultant - ai architect

analyst - portfolio analytics (temporary)

data scientist / ai automation specialist Jobs in Irving

salesforce commerce cloud and demandware developer Jobs in Irving

senior ai/ml developer

senior generative ai developer-5 Jobs in Irving

senior generative ai developer-5

senior lead artificial intelligence solutions consultant - ai architect Jobs in Irving

python gen ai developer

NTT DATA

<div><b>Req ID:</b> 360483
<br>
<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>
<br>
We are currently seeking a Python Gen AI Developer to join our team in Irving, Texas (US-TX), United States (US).<br>
<br>
<b>Job Description - Python Gen AI Developer</b><br>
<br>
<b>Day to Day job Duties:
</b><br>
<ul><li>Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. This includes working with architecture like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs)</li><li>
Research and implement machine learning algorithms and tools</li><li>
Integrate generative AI models into production systems and applications, often involving APIs, microservices, and cloud platforms (AWS, Azure, GCP).</li><li>
Manage and direct research and development processes to meet the needs of our AI strategy</li><li>
Develop machine learning applications in alignment with project requirements and business goals</li><li>
Perform machine learning tests and statistical analysis to fine-tune the machine learning systems</li><li>
Select appropriate datasets and data representation methods</li><li>
Extend existing machine learning libraries and frameworks</li><li>
Train systems and retrain as necessary</li><li>
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions</li></ul><br>
<b>
Basic Qualifications:
</b><br>
<ul><li>3+ Years of Python coding skills and python libraries (like NumPy, Pandas etc.)</li><li>
2+ Years of experience working with generative AI models (GANs, VAEs, LLMs) and their underlying principles</li><li>
2+ years of experience on any of the Python web development frameworks (FastAPI, Flask, Django)</li><li>
2+ years of experience in using Neo4J, Mongo DB</li></ul><br>
<b>
Skills needed:
</b><br>
<ul><li>Overall 5+ years of experience.</li><li>
3+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)</li><li>
2+ Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles</li><li>
Experience on any of the Python web development frameworks (FastAPI, Flask, Django)</li><li>
Strong experience in using Neo4J, Mongo DB</li><li>
Experience in working as part of scrum team with knowledge of related ceremonies.</li><li>
Strong communication skills.</li><li>
Understanding and experience on Gen AI implementations</li><li>
Experience on Langchain, Vector DB, Embeddings or related frameworks</li><li>
Experience on AI/ML model implementations using scikit learn, Tensor flow etc.,</li><li>
Experience with Chat, IVR, Banking will be plus</li><li>
Google Cloud (GCP) knowledge</li></ul><br>
#LaunchJobs #LI-NorthAmerica #LaunchEngineering<br>
<br>
<b>About NTT DATA</b><br>
<br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D.<br>
<br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.<br>
<br>
<b>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. </b><b>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.</b></div>

Python Gen AI 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

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

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/03/2026</p>
</div><div><p>Description</p>
<div><p>Developer Enablement is a function of the CTO organisation. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. The main goals are to improve and upgrade our tools, streamline our processes, automate and strengthen our controls, and help development teams adopt modern working methods.</p><p>
Software Engineers are critical to building the products and services we need to deliver on set of tooling within our department. You will have the opportunity to build high-profile products, work closely with a talented group of peers and have the room to build and improve your own skillset. We believe that our Engineers should be a part of all steps of our product from idea to execution and you will be a key part along every step of that journey. You will also work with Generative AI technologies, such as ChatGPT or Gemini, embedding their capabilities in our systems.</p><p>
You need to demonstrate an understanding of user needs and contribute to the overall product vision. Our tech stack is diverse, encompassing (but not limited to) Python, Go, Java, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, develop, and test software applications</li><li>
Work closely with other team members to ensure that the software is developed and delivered on time and within budget</li><li>
High quality software and great user experiences</li><li>
Stay up to date on the latest software development trends and technologies</li><li>
Ensure our software platforms are compliant with Citi's security and Software Development Life Cycle processes</li><li>
Work with a wide variety of teams across the organization and help drive them towards an everything-as-code and a codified controls mind-set</li><li>
Support and drive cultural change, instigating critical thinking about controls and processes and encouraging a culture of continuous improvement</li></ul><p><b>
Characteristics:</b></p><ul><li>
Able to identify and solve problems effectively</li><li>
Excellent communication and collaboration skills</li><li>
A strong product mindset, putting the user requirements at the forefront of decision making</li><li>
A pragmatic and creative approach to managing risk</li><li>
A growth mindset and willingness to learn and adapt in a fast-paced environment</li><li>
Shows enthusiasm and develops trust through empathy</li></ul><ul><li>
Connected to latest technologies and keen to put them in practice</li><li>
A self-starter with the ability to work effectively in teams and remotely</li><li>
Experience in systems analysis and programming of software applications</li></ul><p><b>
Experience</b>:</p><ul><li>
5-8 years of relevant experience</li><li>
Proven experience as a Full Stack Software Engineer in product teams</li><li><b>
Strong Experience delivering Java code to production</b></li><li><b>
Experience with OOP and Spring Boot</b></li><li>
Experience working in an agile software development environment</li><li>
Experience with distributed systems, event-driven architectures, container-based micro-services, distributed logs, SQL and NoSQL databases, and DevSecOps</li></ul><p><b>
Education:</b></p><ul><li>
Bachelor&rsquo;s degree/University degree or equivalent experience</li></ul><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>
$107,120.00 - $160,680.00<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>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 10, 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><br>
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>
</div><div><p>Salary</p><p>
107,120.00 - 160,680.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Software Engineer - Associate Vice President

MRB Contractors, LLC.

<p><b>Position Summary: </b></p><p>MRB Contractors is seeking a Data Scientist / AI Automation Specialist to develop systems that can process, organize, and maintain large volumes of historical bid and estimating data. This role will focus on building automated solutions that reduce manual work, improve data consistency, and create a reliable internal system for managing bid information over time.</p><p>The ideal candidate will be comfortable working with unstructured and semi-structured business data, designing practical automation workflows, and building tools that support the long-term storage, retrieval, and use of bid-related information.</p><p><b>Key Responsibilities:</b></p><p>● Review and understand existing bid preparation workflows, file formats, and historical records</p><p>● Collect, clean, standardize, and organize large volumes of historical bid, estimating, and pricing data</p><p>● Build automated systems to extract, parse, and structure data from spreadsheets</p><p>● Develop and maintain a centralized system for storing and managing bid information</p><p>● Design processes that keep bid records updated, searchable, and usable for future estimating work</p><p>● Implement data validation and quality control methods to improve accuracy and consistency</p><p>● Build logic and workflows that reduce repetitive manual handling of bid information</p><p>● Work with operational stakeholders to ensure the system reflects real business needs and practical usage</p><p>● Document data structures, system rules, and workflows for long-term internal use and maintenance</p><p><b>Required Qualifications: </b></p><p>● Experience in <b>data science, data engineering, machine learning, or intelligent process automation </b></p><p>● Strong proficiency in <b>Python </b>and <b>SQL </b></p><p>● Strong experience handling large, real-world datasets</p><p>● Experience building automated data parsing, transformation, and ingestion workflows</p><p>● Experience working with unstructured and semi-structured documents such as spreadsheets, PDFs, forms, and internal records</p><p>● Familiarity with AI tools and techniques relevant to document extraction, classification, and structured data creation</p><p>● Strong problem-solving skills and attention to detail</p><p>● Ability to build practical systems that are stable, maintainable, and useful in day-to-day operations</p><p><b>Preferred Qualifications: </b></p><p>● <b>4+ years of relevant experience </b>in data science, data engineering, AI automation, or intelligent workflow automation</p><p>● Experience in <b>construction, estimating, bid preparation, job costing, or related operational environments </b></p><p>● Familiarity with construction bid sheets, takeoffs, pricing records, and estimating documentation</p><p>● Experience with OCR, document parsing, and extracting data from complex business records</p><p>● Experience designing internal data systems or workflow automation tools</p><p>● Experience improving data quality and building structured records from legacy files and manual processes</p><p>● Experience applying LLMs or AI-assisted tools in production-oriented business workflows</p><p>Job Type: Full-time</p><p>Pay: $80,000.00 - $90,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Data Scientist / AI Automation Specialist

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

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

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