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Job Description Job Description Location: Onsite - Houston Employment Type: Full-Time About the Role We are seeking a highly skilled, hands-on Databricks Lead with 8+ years of experience in data engineering , including deep expertise in Azure Databricks, PySpark, and Structured Streaming. This role is ideal for a senior engineer with a programming-first mindset, a strong understanding of distributed systems, and the ability to build high-performance, cost-optimized data solutions. This is not a traditional ETL role. It requires extensive knowledge of Spark internals, declarative pipeline development, and real-time data processing. The successful candidate will also provide technical leadership and collaborate closely with cross-functional teams to deliver robust, scalable data solutions. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines, streaming tables, and Delta Live Tables (DLT) using Azure Databricks and PySpark Drive Spark performance tuning and implement cost-optimization strategies within the Databricks environment Build and manage real-time and batch workflows using Structured Streaming Leverage Delta Live Tables (DLT) and Lakehouse Declarative Pipelines (LDP) to build scalable, reliable, and maintainable data pipelines Collaborate with data architects, analysts, and business stakeholders to deliver robust data solutions Provide technical leadership through mentorship, code reviews, and architectural guidance Ensure system reliability and performance through proactive monitoring and engineering best practices Must-Have Qualifications 8+ years of hands-on experience in data engineering, big data development, or a related field Extensive hands-on experience with Azure Databricks and PySpark Strong programming background and in-depth knowledge of distributed data processing beyond traditional ETL tools Proven expertise in: Spark performance tuning and optimization Cost management within Databricks Structured Streaming for real-time data processing Lakehouse Declarative Pipelines (LDP) and Delta Live Tables (DLT) Familiarity with the Azure data ecosystem, including ADLS, Azure Data Factory, and Synapse Excellent communication skills and the ability to collaborate effectively with cross-functional teams Willingness and ability to work onsite in Houston Nice-to-Have Qualifications Industry experience in energy, utilities, or heavy industry Knowledge of data governance, security, and monitoring

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Principal AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, product, data, and technology leaders to define the architectural foundation for AI across Weyerhaeuser. Working at the intersection of strategy and engineering, you will establish reference architectures, design patterns, and technical standards that enable teams to rapidly build secure, scalable, and reusable AI capabilities. Your work will shape how AI is integrated into business workflows, enterprise platforms, and operational systems accelerating innovation while ensuring solutions remain governable, resilient, and aligned with enterprise standards. You'll evaluate and guide the adoption of modern AI technologies including large language models, intelligent agents, cloud AI services, enterprise data platforms, and emerging interoperability standards while selecting the right technologies for the problem rather than building around any single vendor or framework. Key Responsibilities Enterprise AI Architecture - Define and evolve Weyerhaeuser's enterprise AI architecture, reference architectures, and technical standards. Establish scalable, secure, and reusable architectural patterns that enable AI to become a core enterprise capability while ensuring interoperability, governance, and long-term maintainability. AI Platform Strategy - Define the architectural foundation for enterprise AI platforms supporting machine learning, generative AI, intelligent agents, and optimization. Guide technology strategy, platform evolution, and the adoption of emerging AI capabilities while balancing innovation, operational maturity, and business value. Technical Leadership - Provide technical leadership across the enterprise through architecture reviews, mentoring, engineering standards, and reusable design patterns. Establish engineering standards, reusable design patterns, architecture reviews, and technical guidance across the engineering teams for AI solutions. Enterprise Collaboration - Partner with business, product, engineering, data, cybersecurity, and enterprise architecture teams to translate strategic business opportunities into technical solutions. Drive alignment across organizations to ensure AI capabilities integrate seamlessly into enterprise platforms and business workflows. Responsible AI & Operational Excellence - Embed Responsible AI principles throughout the AI lifecycle by defining architectures that emphasize security, governance, transparency, observability, performance, reliability, and cost efficiency. Ensure AI solutions are designed for enterprise-scale operations and deliver measurable business outcomes. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical discipline. Master's degree or PhD preferred. 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms. Demonstrated success defining architecture for complex, distributed systems operating at enterprise scale. Deep understanding of modern AI technologies, including machine learning, generative AI, and intelligent agent architectures with one or more major enterprise AI ecosystems such as Microsoft Azure AI, AWS, Google Cloud, OpenAI, Anthropic, Snowflake, Databricks, SAP, or comparable platforms. Experience designing reusable patterns, shared services, developer frameworks, and engineering accelerators that improve enterprise AI delivery. Experience applying AI across one or more domains (the more the better): manufacturing/industrial, commercial (sales, supply chain, logistics), corporate functions (IT, HR, Finance, Legal, Procurement), or geospatial/GIS. Experience implementing AI governance, Responsible AI practices, model lifecycle management, evaluation frameworks, observability, or MLOps. Experience influencing technical direction across the enterprise through technical leadership rather than direct authority. Excellent communication skills with the ability to engage executive, business, and technical audiences. Why Join Weyerhaeuser? At Weyerhaeuser, you'll have the opportunity to shape the future of sustainable forestry through AI-driven innovation. As Senior AI Architect, you will define how advanced AI - from predictive analytics to generative and edge intelligence - is designed, built, and deployed to enhance operations, sustainability, and growth. Your work will transform how forests are managed, mills operate, and teams collaborate - advancing Weyerhaeuser's mission to be the world's premier timber, land, and forest products company. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.

Group Product Manager, Data & Analytics Phoenix, Arizona SmartRent (NYSE: SMRT) is revolutionizing how people live and work with the industry's only end-to-end platform designed for the rental housing industry. By uniting purpose-built software, integrated hardware and full implementation and support in one ecosystem, we help owners and operators simplify operations, cut costs and deliver exceptional resident experiences. Recognized by Deloitte, HousingWire and the PropTech Breakthrough Awards, SmartRent is shaping the future of property technology and redefining what it means to make rental housing smarter. As a Group Product Manager, Data & Analytics, you will define and execute the strategic vision for SmartRent's enterprise data, reporting, and intelligence products. You will lead customer research, synthesize insights, and translate complex data capabilities into actionable product strategies, intuitive analytics tools, and machine learning models. This highly cross-functional role requires strong leadership, deep data fluency, and the ability to bridge the gap between business leaders, data engineers, data scientists, and end users to deliver market-leading, data-driven solutions. (Prefer candidate in AZ to come to our HQ, but open to candidates in other US states) Responsibilities Define and communicate the strategic vision and roadmap for SmartRent's enterprise data platform, reporting suites, and AI/ML initiatives. Lead customer and market research, transforming insights into actionable requirements and innovative product features. Partner with internal (Revenue, Operations, Finance, IT) and external (customers, partners) stakeholders to create the strategic roadmap for the data and analytics practice Partner closely with Data Science, ML Engineering, Data Engineering, and Design to turn raw telemetry, IoT, Operations and property data into predictive models, user-facing analytics, and actionable business intelligence. Lead qualitative and quantitative research with internal teams, property managers, and owners to understand their reporting, data integration, and analytical workflow needs. Translate stakeholder needs into clear technical requirements, PRDs, and data specifications (data models, pipelines, API integrations, and metric definitions). Balance timing, cost, features, and performance to deliver high-impact products on schedule and within budget. Measure product success using data-driven methods, establish core telemetry metrics, and continuously optimize data product adoption and performance. Manage escalations and influence stakeholders across the organization to resolve issues and drive consensus. Mentor and inspire cross-functional teams, fostering a culture of innovation, feedback, and excellence. Ensure compliance with security, regulatory, and operational standards, embedding secure-by-design practices into product workflows. Develop and maintain dashboards, KPIs, and reporting mechanisms to track product performance and inform decision-making. Lead, mentor, and coach a team of product managers, building a data-informed product culture across the department. Perform other duties as assigned. Required Qualifications Bachelor's degree in Marketing, Economics, Computer Science, Business or related technical degree and a minimum of 7 years of experience in product management. Minimum 3 years of experience managing data products, analytics platforms, data infrastructure, or machine learning solutions (preferably within PropTech, SaaS, or IoT ecosystems). An equivalent combination of education and experience will be considered. 2-5 years of people management experience and the proven ability to build and grow high-performing teams Proven experience collaborating directly with Data Scientists, Data Engineers, and ML teams to ship data-driven features or predictive models. (Does not require hands-on coding/data science execution, but requires strong technical comprehension). Demonstrated capabilities executing end-to-end quantitative and qualitative customer research and effectively identifying and interpreting key findings Solid understanding of data pipelines, ETL processes, data architecture concepts, and how ML models are trained and deployed to production. Highly analytical and diligent personality with ability to constantly solve problems and quickly plan out new features with meticulous attention to detail Experience defining a product roadmap and prioritizing features based on end user needs. Familiarity with JIRA, Confluence, Figma, Sketch, Amplitude, Gitlab, Github, Prototyping or other similar tools. Good understanding of LLMs, MCP, and GenAI to help drive product differentiation Preferred Qualifications Proficiency in querying databases (SQL) and evaluating model performance metrics (precision, recall, accuracy) to validate product requirements. Experience with cross-functional teams (engineering, design, marketing). Experience building external-facing analytics/dashboards for enterprise SaaS customers or property operators. Experience in proptech, multifamily, consumer IoT or similar SaaS companies. Ability to analyze user data and feedback to inform product decisions. Background in embedded analytics, IoT sensor data platforms, or algorithmic decision engines. Familiarity with agile and scrum practices. Strong understanding of Agile methodology and experience working with engineering teams. Proficient with Jira, Confluence, Figma, or similar tools. Familiarity with modern data stack architectures (Snowflake, Databricks, dbt, etc.) and API integrations. Salary range: $155,000.00 - $186,267 annually. Actual compensation will depend on experience, skills, and internal equity. This role may also be eligible for bonus, commission, or other variable compensation. We Put Our Employees First We offer a comprehensive and competitive benefits package designed to support your well-being and future. For our US employees, this includes medical, dental, vision, and life insurance with low deductibles and 75-100% employer contributions. We also provide flexible and generous PTO (because we know how important work-life balance is), a competitive 401(k) with employer contributions, paid parental leave, discounted insurance plans for pets and legal services and an employee stock purchase plan to help you invest in your future. You'll fit right in if you: Do the hard work and go out of your way to deliver excellence Own outcomes and learn from your mistakes Are a collaborative and supportive team player-win or lose, you lift others up Value authenticity, diverse perspectives, and inclusion in the workplace Have a passion for smart tech and the real estate industry

At SolarWinds, we're a people-first company. Our purpose is to enrich the lives of the people we serve-including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We're looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you're looking to build your career with an exceptional team, you've come to the right place. Join SolarWinds and grow with us! Position Overview SolarWinds Database Business Unit is seeking a Strategic ISV Partnerships Manager to drive revenue growth through the development and execution of strategic partnerships with independent software vendors (ISVs) in the database and data infrastructure space. This is a hunter-focused role with quota accountability, where you will identify, negotiate, and close new ISV partnerships while serving as the quarterback for the entire relationship lifecycle-from technical integration through successful go-to-market execution. Key Responsibilities Identify, prospect, and acquire new ISV partners that expand SolarWinds' reach in the database and data management markets Develop and negotiate partnership agreements that create mutual value and establish clear commercial terms Own revenue quota for new partnership-sourced business and be accountable for pipeline development and closure Serve as the primary business point of contact and strategic quarterback for each partnership, managing stakeholder alignment across engineering, product, customer success, and sales teams Project manage technical integration efforts, ensuring timely delivery of integrations and joint solutions without performing the technical work directly Lead go-to-market planning and execution for new ISV partnerships, including joint messaging, positioning, and sales enablement Build and maintain a pipeline of prospective ISV partners and track partnership maturity and performance metrics Collaborate with Solution Engineering and Product teams to ensure ISV solutions align with product roadmap and customer needs Represent SolarWinds in partnership discussions, speaking with credibility about our database solutions and strategic direction Required Qualifications 10+ years of business development, partnerships, or alliances experience at technology companies in the database, data infrastructure, or data analytics space Demonstrated experience working with or for ISV partners such as Databricks, Snowflake, MongoDB, SAP HANA, or similar database/data platform companies Proven hunter mentality with a track record of identifying, closing, and scaling new business relationships Strong ability to manage complex, cross-functional initiatives and stakeholders across technical and business teams Comfort with ambiguity and ability to drive results in a fast-moving, entrepreneurial environment Excellent communication and negotiation skills, with the ability to build credibility with C-level and technical audiences alike Experience managing partnership pipelines and consistently achieving revenue targets Must be US-based Preferred Qualifications Experience with database performance monitoring, management, or administration tools Track record of successful go-to-market launches with technology partners Familiarity with SolarWinds products or the broader database management solutions market Experience managing technical integration projects or collaborating closely with engineering teams What We're Looking For You are entrepreneurial, scrappy, and comfortable wearing multiple hats. You thrive on building new relationships and closing deals, but you also have the organizational skills and patience to shepherd complex partnerships through integration and launch. You understand the database ecosystem intimately and can speak credibly about technical requirements and strategic fit. Most importantly, you are driven by quota and results-you want to own the full business impact of the partnerships you build. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice:

Job Description Job Description We are hiring Manager of Data Solutions - hybrid - onsite 5-6 days a month for a Full Time position in Los Angeles, CA Manager of Data Solutions The Manager of Data Solutions is an integral part of the Technology & Information Services team. This role will be responsible for leading the data architecture team and overseeing the design and implementation of the organization's data infrastructure, while developing and implementing comprehensive data architecture strategies that align with organizational goals. This role will be located in our Global Services office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence. Competencies & Skills: • Someone who understands the modern data stack and can execute a vision for data design/security • Ability to implement and understand data pipelines. • Someone who is a good data engineer. • Someone who has implemented systems. • Have a deep technical understanding while also maintain the ability to get buy in from stakeholders/manage a team. • Practical, hands-on experience, not just school experience. • Proficiency in Fabric, Databricks, data modeling, data engineering. • Ideal Candidate: Experienced manager, highly technical with stakeholder engagement and can execute long-term vision. Key Responsibilities: • Support firm migration to cloud and design scalable storage solutions. • Manage team on this project • Leading and mentoring a team of data architects and integration developers • Overseeing the design, maintenance, and enhancement of data systems and processes • Working with the Senior Manager of Business Intelligence and Data Systems Integration and Project Manager to prioritize resources and projects • Collaborating with technology and business stakeholders to identify data needs and deliver architecture solutions that drive business value • Managing data-related projects, including timelines, resources, budgets, and deliverables • Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that the company retains • Demonstrate proven experience in data architecture, data management, and data integration with a track record of leadership responsibilities • Display a deep understanding of data structures, database systems, data warehousing, and data modeling • Possess experience with business intelligence tools (e.g., Power BI, Tableau, Qlik) and data architecture platforms (e.g., Azure, Fabric, Databricks) And have: • Minimum of seven (7) years of experience in data architecture or a related field, with a track record of supervisory responsibilities • Bachelor s degree in Computer Science, Information Management, Business Administration, Finance, or a related field • Master s degree is preferred but not required Estimated Pay Range: 160-185K

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 - we care. 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's health today, we want to hear from you. About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest-growing specialty pharmacy organizations. This role combines strong full stack engineering with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, Large Language Models (LLMs), and AI agents in a fast-paced healthcare environment where technology directly impacts patient, provider, and business outcomes. The engineer will work across the entire software lifecycle, from business discovery, system design, and full stack application development through testing, cloud deployment, production support, and measurable adoption. The role requires a hands-on builder with strong front-end, back-end, API, data, integration, and cloud engineering fundamentals who can apply AI as an additional capability and engineering accelerator. The engineer must translate ambiguous business problems into practical solutions, collaborate directly with stakeholders, and establish standards for secure, reliable, and scalable delivery across specialty pharmacy, patient engagement, provider solutions, and operational platforms. Our team supports fast-paced specialty pharmacy operations, patient engagement, provider services, and business-critical healthcare workflows where speed, reliability, scalability, and innovation directly contribute to patient outcomes and business growth. Success in this role comes from partnering closely with the business to rapidly validate solutions, transform prototypes into scalable production capabilities, and maintain accountability for adoption, reliability, and outcomes. What You'll Do Design, develop, and deploy AI-powered applications using Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services. Partner directly with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into production capabilities. Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls. Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET. Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns. Integrate AI capabilities with ServiceNow, Salesforce, Snowflake, Databricks, Power BI, and other enterprise platforms. Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices. Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and Kubernetes deployments. Serve as technical owner for assigned applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria. Lead modernization, technical debt reduction, resiliency improvements, design reviews, incident resolution, and root-cause prevention. Mentor engineers and influence architecture, security, data, product, and delivery decisions across teams. Basic Requirements 7+ years of professional software engineering experience developing enterprise-scale applications. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies. Experience developing modern front-end applications using React and TypeScript. Experience designing and consuming REST APIs, microservices, and enterprise integrations. Experience developing cloud-native applications on Microsoft Azure. Experience with CI/CD, source control, automated testing, SDLC, and Agile practices. Experience acting as a technical lead or primary owner for an enterprise application, service, or platform. Experience designing scalable architectures, documenting trade-offs, and supporting production systems. Demonstrated ability to turn ambiguous business needs into delivered technical solutions. Preferred Skills / Experience Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, Cognitive Services, and enterprise AI platforms. Experience building Generative AI solutions using Azure OpenAI, OpenAI, Claude, or comparable LLM platforms. Strong programming experience with Python, C#, TypeScript, JavaScript, Java, and .NET technologies. Experience developing full stack applications using React, TypeScript, Node.js, Python, and C#/.NET. Experience designing, developing, securing, and supporting REST APIs and enterprise integration services. Experience with Databricks, Snowflake, and governed enterprise data and analytics platforms. Experience with RAG, semantic search, vector databases, AI orchestration, agentic AI, guardrails, evaluation, and human-in-the-loop workflows. Experience with Salesforce platform development, integrations, REST APIs, workflows, and data services. Experience integrating with or supporting ServiceNow workflows, ITSM, CMDB, service catalog, and automation processes. Experience developing data visualization, analytics, and operational reporting solutions using Power BI. Experience with Docker, Kubernetes, Infrastructure as Code, Azure Monitor, Application Insights, or comparable platforms. Knowledge of distributed systems, event-driven architecture, asynchronous processing, and resiliency patterns. Experience leading application modernization, cloud transformation, or platform engineering initiatives. Experience in healthcare, specialty pharmacy, regulated industries, or high-compliance environments. Travel, Work Arrangement & Physical Requirements Hybrid or remote work arrangement based on business needs. Limited travel may be required for collaboration, planning, stakeholder discovery, or solution workshops. Ability to work on a computer for extended periods and participate in virtual collaboration activities. 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. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson'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: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. 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. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer 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's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Weyerhaeuser seeks a Principal Data Scientist to shape analytics strategy across our sustainable timberlands and manufacturing operations. You will lead development of advanced models that optimize mill performance, supply chain, and resource planning, using ML, statistics, and optimization at scale. Partnering with forestry, operations, and IT, you'll turn complex data into actionable insights that drive safety, efficiency, and environmental stewardship. You will mentor team members, champion data governance, and help advance innovative, sustainable wood products for North America. Responsibilities Lead development of advanced predictive and optimization models to improve mill efficiency, yield, and quality across wood products operations Partner with forestry, manufacturing, and supply chain leaders to translate business challenges into data science solutions and measurable outcomes Design and implement scalable data pipelines and feature engineering in collaboration with data engineering and IT teams Apply machine learning, statistical modeling, and experimentation to forecasting, process control, and asset performance use cases Guide model deployment, monitoring, and lifecycle management in production environments Mentor data scientists and analysts, setting technical standards and promoting best practices in code quality and documentation Communicate insights and recommendations to senior leadership through clear visualizations and storytelling Ensure data governance, model ethics, and responsible AI practices aligned with sustainability and safety priorities Evaluate and integrate new data sources, including sensor, Io T, and spatial data from forest and mill operations Contribute to analytics strategy and roadmap to advance Weyerhaeuser's digital and sustainability goals Required Skills Machine learning Statistical modeling Predictive analytics Optimization techniques Python RSQLBig data platforms (e.g., Spark, Databricks) Cloud analytics (e.g., AWS, Azure, GCP) Data engineering and pipelines Time series forecasting Experimental design and A/B testing Data visualization (e.g., Tableau, Power BI) MLOps and model deployment Sensor/Io T data analysis Supply chain and manufacturing analytics Version control (Git) Feature engineering Model monitoring and governance Communication and stakeholder management

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 - we care. 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's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position 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. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson'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: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. 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. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer 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's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

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 - we care. 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's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position 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. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson'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: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. 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. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer 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's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!