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python gen ai developer

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senior data engineer

senior ai ml developer

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

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

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><b>
Job Title: Senior</b>/<b>Lead Data Scientist</b></p><p></p><p><b>
Current Need:
</b></p><p></p><p>The ideal candidate will reside in either Irving, TX or Toronto, Canada.</p><p></p><p>
The <b>Lead Data Scientist</b> is responsible for driving the full lifecycle of advanced analytics and machine learning solutions&mdash;from problem framing and hypothesis design to production deployment and continuous monitoring&mdash;delivering measurable business outcomes for McKesson&rsquo;s businesses. This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, and pioneers innovative analytical approaches that improve operational efficiency and market competitiveness.</p><p></p><p>
The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP where appropriate. In addition, the role works closely with product, engineering, and business teams, champions McKesson&rsquo;s enterprise model development standards, and upholds the company&rsquo;s ILEAD leadership principles.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Identify opportunities for leveraging company data to drive innovative and scalable machine learning solutions that address complex business challenges. Develop and implement strategies that enhance operational efficiency, automate decision-making, improve customer outcomes, and optimize resource allocation. Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, recommendation systems, anomaly detection, and NLP/LLM.</p></li><li><p>
Develop custom machine learning models and algorithms tailored to business needs. Apply these models to large datasets to generate actionable insights and support strategic decision-making</p></li><li><p>
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments. Ensure scalability, reliability, and compliance with enterprise standards</p></li><li><p>
Build and maintain scalable data infrastructure to support both real-time and batch decisioning. Leverage cloud-native tools and platforms to optimize performance and cost</p></li><li><p>
Engage with business stakeholders to translate requirements into technical solutions. Provide thought leadership and guidance on analytical approaches and data strategy</p></li><li><p>
Ensure model governance, documentation, and performance benchmarking. Maintain compliance with Responsible AI and data privacy standards</p></li><li><p>
Build and maintain scalable data systems and infrastructure that empower our business teams to make better decisions</p></li></ul><p></p><p><b>
Minimum Job Qualifications (Knowledge, Skills, &amp; Abilities):</b></p><p>
Education/Training &ndash; Bachelors in math, statistics, engineering, or another STEM field or equivalent experience and typically requires 10+ years of relevant experience. Less years required if has relevant Master&rsquo;s or Doctorate qualifications.</p><p></p><p>
Business Experience &ndash;
</p><p></p><ul><li><p>10+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead.</p></li><li><p>
Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).</p></li><li><p>
Proven track record working in cross‑functional product/engineering environments.</p></li></ul><p></p><p>
Specialized Knowledge/Skills &ndash;
</p><ul><li><p>Supervised/unsupervised learning, time‑series, causal methods/experimentation, optimization; familiarity with LLMs/NLP and retrieval‑augmented workflows preferred.</p></li><li><p>
Expert in Python and SQL; proficiency with PySpark; experience with Azure ML, MLflow, model registries, monitoring/telemetry (e.g., Evidently) and CI/CD.
</p></li><li><p>Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud; observability and on‑call patterns for ML services.
</p></li><li><p>Feature engineering, working knowledge of healthcare/commercial data sets.</p></li><li><p>
Demonstrated adherence to enterprise cybersecurity standards and secure development lifecycle for data/ML.
</p></li><li><p>Executive storytelling; ability to translate technical results into decisions and outcomes.</p></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>
$158,000 - $263,300<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>

Lead Data Scientist

<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

LTIMindtree

<div><b>Role description</b><div><b><br>
Job Title:</b> Sr. PLSQL Developer</div>
<div></div>
<div><b>Work Location:</b></div>
<p>
Irving, TX</p>
<p></p>
<p><b>Required Skills:</b></p>
<ul><li> Candidate should have good exposure in Oracle database with PL/SQL and SQL queries.</li></ul>
<ul><li> Experience of working on in data dictionary views.</li></ul>
<ul><li> Experience of working on complex queries.</li></ul>
<ul><li> Should have good knowledge of PL SQL and data processing viz functions procedures packages triggers bulk processing collection and exception handling.</li></ul>
<ul><li> Candidate should have exposure in any CI CD pipeline knowledge of Jenkits and BitBucket would added advantage.</li></ul>
<ul><li> Should be good in verbal and written communication.</li></ul>
<ul><li> Candidate should be proactive and should not act in passive manner to any issue escalation.</li></ul>
<ul><li> Connect with onshore team daily to provide get the handover.</li></ul>
<ul><li> Advantage with UNIX resource with development ability and knowledge of deployment UNIX tasks Autosys UNIX script RLM.</li></ul><br>
<div></div>
<div><b>
Mandatory Certification:</b> Karat Assessment</div><b><br>
Skills</b><br>
<b>Mandatory Skills : </b>MS SQL Server<br>
<br>
<b>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: $79,851.00 to $107,720.00 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>

Senior Data Engineer

Explore 40+ Senior ai ml developer in Irving this March. Find roles across top companies and apply now to boost your career.