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Year Round COLLABORATION | AUTHENTICITY | PURPOSE | EMPOWERMENT Alterra Mountain Company is a family of iconic year-round mountain destinations, the world's largest heli-skiing operation, and Ikon Pass - the premier ski and snowboard season pass offering access to more than 50 iconic mountain destinations around the world. Headquartered in Denver, Colorado and born out of a shared love of the mountains and adventure, Alterra Mountain Company exists to shape the future of mountain adventure. WHAT WE OFFER Free Ikon Pass for all eligible employees + additional free skiing/riding privileges across the family of Alterra Mountain Company resorts for eligible employees and their dependents Discounted skiing/riding for friends and family of eligible employees across the family of Alterra Mountain Company resorts Flexible Time Off (FTO) and Paid Time Off (PTO) policies for eligible employees to relax and recharge Generous discounts on outdoor gear, apparel, rental cars, etc. Medical, dental, vision, life, AD&D, short-term & long-term disability insurance, EAP, HSAs, FSAs, and more 401(k) plan with generous company match Paid parental leave of up to 6 weeks for eligible employees Commuter benefits (Denver employees only) Flexible/hybrid workplace policy empowering employees to work from home, while encouraging regular in-person collaboration in our dog-friendly company headquarters office located in Denver's RiNo Art District neighborhood For information on Alterra Mountain Company's Social Responsibility work, please see our webpage at https://www.alterramtn.co/impact . Among other resources, Alterra has a slate of Employee Resource Groups to support our workforce. POSITION SUMMARY The Retail Data Specialist is a key member of the Alterra Retail Shared Services team, responsible for ensuring the accuracy, consistency, and reliability of retail and rental product data across Alterra resorts. This role focuses on the execution and continuous improvement of data management practices to support enterprise-wide retail operations. The ideal candidate is analytical, highly organized, and values precision in data handling. They embrace Alterra's core values, demonstrate professional accountability, and contribute to a collaborative team culture that supports operational excellence. ESSENTIAL DUTIES General Responsibilities Retail Data Management & Administration: Administer the creation, maintenance, and lifecycle management of core retail product data including SKUs, pricing structures, barcodes (UPCs), and classification attributes across inventory management and POS systems. Maintain adherence to established Standard Operating Procedures (SOPs), data governance frameworks, and data integrity standards. Data Quality Assurance & Integrity Audits: Perform systematic data audits and validation routines to identify anomalies, resolve discrepancies, and mitigate data quality risks. Implement controls and checks (manual and automated) to ensure completeness, accuracy, and synchronization of data across integrated systems. Leverage advanced Excel functions (e.g., VLOOKUP, CONCATENATE, IF, TRIM, PROPER) and other data analysis tools to troubleshoot and correct data integrity issues. Cross-Functional Collaboration & Support: Partner with merchandising, retail operations, and inventory technical analytics teams to resolve data-related issues, onboard new product data, and ensure seamless system performance. Translate operational data needs into structured data requirements for input into retail systems. This role will be instrumental in the support of data migration for additional businesses to the inventory management system and database. Process Optimization & Documentation: Analyze existing data workflows and recommend scalable solutions to increase efficiency, data accuracy, and automation. Support documentation of business rules, data flow diagrams, and process improvements to standardize data operations. Additional Responsibilities: Participate in special projects and system enhancement initiatives as needed. Perform other duties as assigned to support the central data governance mission. REQUIRED QUALIFICATIONS Proficient in Microsoft Excel (advanced functions) and data tools; experience with SaaS platforms and BI/reporting tools is a plus. Experience working within MDM (Master Data Management) or POS systems is highly desirable. 2+ years of experience in data entry or data management, preferably within a retail or enterprise operations environment. Strong understanding of data governance principles, data lifecycle, and quality assurance best practices. Excellent attention to detail with a structured, process-oriented mindset. Strong problem-solving capabilities and the ability to work independently in a high-volume, deadline-driven environment. Effective communication and documentation skills for cross-functional coordination. Ability to maintain confidentiality and manage sensitive data with discretion. Professional/lived experience working in a culturally competent manner with a broad range of people. The base hourly pay range below represents the low and high end of the Alterra Mtn Co Shared Services Inc. hourly pay range for this position. Actual pay will vary and may be above or below the range based on various factors including but not limited to experience, education, training, location, merit system, quantity or quality of production, responsibilities, and regular and/or necessary travel. The range listed is just one component of Alterra Mtn Co Shared Services Inc.'s total compensation package for employees. Other rewards may include short-term and long-term incentives and many region-specific benefits. Denver area base hourly pay range: $21.15 - $29.33 per hour Application Deadline: This position is open and still accepting applications. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. Alterra Mountain Company and its affiliates are equal opportunity employers.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role WEX is reimagining its enterprise data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a Senior Software Engineer on the Semantic Data Modeling Team, you'll play a critical role in designing, building, and maintaining our core 360 data objects-such as Customer360, Fleet360, and Provider360. These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains-making our data models both technically scalable and business-ready. This team is at the heart of WEX's DaaS platform-bridging raw data with meaningful business insights. You'll help define and deliver the semantic backbone of our products, analytics, and machine learning systems. If you're excited about building data models that carry real-world meaning, scale to billions of records, and unify how a business understands its world-this is your next big move. How you'll make an impact Design and implement semantically consistent, scalable 360 data models that integrate data across domains. Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets. Write production-quality, testable code in SQL and Python (or equivalent)-delivering performant and maintainable data assets. Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models. Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage. Help define and enforce standards for data modeling, documentation, and governance within the semantic layer. Collaborate across teams to integrate with ingestion, MDM, and data product layers. Experience you'll bring 4+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms. Strong proficiency in SQL and at least one general-purpose language such as Python or Scala. Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects. Solid understanding of data quality practices-including validation, enrichment, schema enforcement, and business rule encoding. Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability. Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability. A mindset for traceability, reproducibility, and semantic clarity-you build data models others can trust and reuse. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $120,000.00 - $160,000.00

P-988 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 8+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We're inventing ways to connect every thing to the Internet - including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it's a thing, we're working to connect it. Join Impinj and help us realize our vision of a boundless IoT- connecting trillions of everyday items to the Internet. Team Overview: We are seeking a Data Engineer with deep experience in managing and processing high-volume IoT data to enable the cloud-based training of machine learning models that power real-time inference on edge devices. In this role, you will architect and maintain cloud-based data infrastructure and pipelines that support ML workflows for training, validation, and deployment of machine learning models optimized for deployment in edge environments. This is a multi-functional role requiring close collaboration with ML engineers, systems engineers, cloud architects, and embedded systems teams to deliver high-quality, efficient, and scalable data solutions that power intelligent behavior on resource-constrained devices such as fixed and handheld RFID readers. What You Will Do: Design data workflows to support model training, evaluation, and retraining cycles for deployment on edge devices Work closely with ML engineers to align data formats, labeling standards, feature extraction for edge-compatible models, and feedback loops for model improvement Architect and maintain scalable data pipelines to ingest, process, store, and access large volumes of structured and semi-structured RFID time-series data from edge networks Develop automated systems for data versioning, labeling, augmentation, and quality assurance Establish and maintain data APIs and interfaces to query, consume, and update datasets Manage large datasets using distributed storage and compute frameworks (e.g., Apache Spark, Hadoop, or Dask) Ensure data security, compliance, and consistency across the full data lifecycle Drive improvements in data performance and reliability, especially for low-latency ML inference use cases Implement robust ETL/ELT workflows for preparing data for cloud-based ML model training and evaluation Collaborate and coordinate with large scale data collection projects Monitor and optimize data pipelines for performance, reliability, and cost across edge-to-cloud infrastructure Optimize data flow and compute for performance, cost, and latency in hybrid edge-cloud environments What You Will Bring: Bachelor's degree in Data Engineering, Electrical Engineering or a related field and 8 years of related experience, or equivalent combination of education and experience 8+ years of experience in data engineering working with Machine Learning pipelines Deep understanding of data pipeline design, ETL/ELT processes, automated workflow orchestration (e.g. Apache Airflow) Strong programming skills in Python (especially for data workflows), with experience building scalable, maintainable pipelines. (e.g. Pandas, numpy) Strong experience with structured and unstructured databases (SQL, MongoDB, DuckDB) Strong understanding of cloud infrastructure (AWS, Azure, or GCP), especially cloud storage, compute, and ML tools (e.g., SageMaker, Vertex AI, Azure ML) Experience with data lake/data warehouse technologies (e.g., S3 + Glue, BigQuery, Snowflake, Delta Lake) Knowledge of machine learning model lifecycles, including training, validation, and deployment Understanding of data versioning, feature engineering, and ML lifecycle management Understanding of machine learning data needs, including labeling, versioning, and model-ready dataset preparation Familiar with distributed data systems and big data tools (e.g., Spark, Kafka, Hadoop) Compensation & Benefits: The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work. The typical base pay range for this role across the US is $129,000 - $200,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you're making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at "Tecnopuc," a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital and analytics solutions for our customers and dealers. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. With over 1.5M connected assets worldwide, our business and in the industries, we serve, data is generated continuously by Cat equipment using the latest technology, advanced analytics, telematics and AI capabilities to help our customers build a better world. Role Definition As a Senior Data Operations Lead you will serve as the technical lead for our data operations and application support team. You will provide full-stack expertise across application, APIs and data, ensuring reliability and performance. You will drive technical issue triage and resolution, perform impact analysis, and deliver scalable solutions that improve operational efficiency. In this role, you will also guide team on best practices, collaborate across functions, and take ownership of solving complex technical challenges that support both our systems and business goals. What you will do: Provide advanced data operations and technical support for Digital applications and Data Operations, ensuring high availability and data quality across platforms. Lead and mentor junior team members, offering technical direction and guidance on complex issues. Drive root cause analysis and implement corrective actions for data and application issues, with a focus on meeting Service Level Agreements (SLAs). Develop scripts to resolve data issues and perform break-fix activities for data pipelines. Collaborate with data solution leads and engineers to define data solutions and implementation logic. Identify and apply AI techniques to improve data quality, automate operational tasks, and enhance decision-making. Automate data workflows and operational tasks using AI, Python, and AWS services. Partner with managers, engineers, and business stakeholders to capture requirements, resolve incidents, and drive continuous improvement in data operations. Decompose large initiatives into actionable features, epics, and stories, including risk remediation, audits, onboarding, and enhancements. Lead a global team by delegating tasks, managing workloads, mitigating risks, and reporting progress and status. Communicate effectively with end users, internal customers, and leadership regarding service status, outages, and planned changes. Promote and maintain high standards of software and data quality through best practices. Perform other duties as assigned by Caterpillar management. What you will have: Bachelor's degree in Computer Science, Data Engineering, or a related field. Practical experience in data operations, data engineering, or software engineering, with a focus on data quality, troubleshooting, and support. Demonstrated experience with AWS or Snowflake. Strong analytical and problem-solving skills, with the ability to quickly learn new technologies. Proven track record of work independently on complex technical issues and collaborate with cross-functional teams. Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Top candidates will have: Expertise in AWS (including RDS, S3, Lambda), Snowflake, and Python for data operations and automation. Experience developing or supporting enterprise data platforms. Familiarity with ITSM/ITIL processes, data governance, and metadata management. Experience automating data workflows and operational tasks using scripting and orchestration tools. Experience using GitHub and CI/CD for version control, data pipeline development and deployment. Experience applying AI techniques to improve data quality, automate tasks, or enhance decision-making. Familiarity with AI-driven tools or platforms for data operations (e.g., anomaly detection, predictive analytics, intelligent automation). Knowledge of third-party monitoring and observability tools (e.g., BigPanda, DataDog, AppDynamics). AWS or Snowflake certifications (e.g., AWS Certified Developer Associate). Experience leading or mentoring Data Operations or technical support teams. Ability to work under pressure and adapt to rapidly changing environments. Passion for technology and continuous improvement. What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. Additional Information: This position will have the option to be based out of our Chicago, IL; Peoria, IL or Irving, TX offices. #LI #BI About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $110,520.00 - $179,640.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers. Posting Dates: Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Role SmarterDx is seeking an experienced Data Analytics Manager to lead a team of seasoned Product Analysts embedded across our suite of solutions. With Analysts integrated into different product teams, this role focuses heavily on driving consistency in how we use data to inform product discovery and evaluation of new feature development. As an Analytics Manager, you'll be responsible for people leadership, stakeholder engagement, and process design, while also contributing to the broader analytics architecture and execution strategy. You'll mentor your team, define best practices, and ensure analytics efforts are aligned with business goals across the organization. At SmarterDx, we believe Analytics should be treated as a product in its own right. This inherently requires thoughtful design, clear ownership, and continuity across solutions. Our core mission is to build data systems and insights that meaningfully improve business outcomes, and that can only happen with intentional 'product thinking' and vision. We're a fast-growing startup, and we value independent thinkers who take initiative, identify opportunities, and rally cross-functional teams to solve complex problems. SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. This role is fully remote within the US What You'll Do 40% Project & Stakeholder Management Lead high-value analytics initiatives by identifying opportunities to improve business outcomes and aligning cross-functional teams on shared goals Standardize analytics tools and processes across product lines to improve scalability and consistency Prioritize and advocate for analytics work that aligns with strategic company objectives Communicate clearly and regularly with stakeholders to ensure alignment and transparency in analyst-driven work 30% People Leadership & Team Development Cultivate a culture of innovation, curiosity, and initiative within the analytics team Mentor and support the career growth of your direct reports through regular feedback and coaching Assess team performance with structured, twice-a-year progress reviews Identify skills gaps or resourcing needs and escalate proactively 30% Analytics Strategy and Execution Champion analytics best practices and provide thought leadership across the organization Establish rigorous testing, validation, and data quality processes Oversee the development of metrics, dashboards, reports, and visualizations that drive business decisions Iterate and embrace continuous improvement in analytics methodologies Define and maintain data governance policies to ensure compliance and data integrity What You Bring 3-5+ years of experience managing senior analysts 2+ years working with healthcare data (clinical, billing, or both) Proven ability to lead analytics initiatives involving cross-functional stakeholders Experience in startups or scaling mid-sized businesses Technical skills: SQL (Advanced) BI/data visualization tools (Advanced) Python for data (Proficient) dbt (Proficient) Git (Familiar) Statistics (Familiar) Our Tech Stack Data Visualization: Hex and Evidence Analysis: Python & Data Science libraries (numpy, pandas, etc) Pipelines: Snowflake, dbt, airflow, git, and AWS Compensation $190,000 to $220,000 salary + equity incentives #LI-Remote

Title: Data Center Engineer (VDI) Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. Why Join Us? Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. Key Responsibilities: provide infrastructure engineering for periodic data center refresh and/or new data center technologies, including future cloud capabilities. Design, deliver, and optimize Infrastructure Services to improve security, availability, performance, and resource utilization in the data centers Review current infrastructures, architectures, designs, and operations to identify potential improvements Analyze, refine, and document the requirements for transition from legacy hardware into modern data center infrastructure environment Design and build host & tenant environment with security hardened configuration for infrastructure services and design ongoing maintenance practices and procedures for infrastructure hosted service patching and updates Design virtual Infrastructure services to maximize available capacity of physical compute, storage, and network hardware resources Document security, configuration, and performance benchmarks of Infrastructure Services Design production infrastructure services that support highly available, private cloud, active-active data center operations, within the constraints of the environment Design practices, procedures, Automation and Orchestration to provision, de-provision, and entitle Compute, Storage, and Network resources Identify infrastructure security-relevant actions, tests, and key performance indicators for Information Dashboard and Reporting Design Service Catalog Items for Infrastructure Services for business and IT technical services Provides advanced technical support in the research, experimentation, business analysis and use of systems technology including architecture, integration capabilities and database management. Develops the end-to-end vision and the logical design that translates into physical databases, and how the data will flow through the successive stages involved. Knowledgeable and practices a wider range of data administration skills, often in a Business Process Reengineering context. Participates in strategic data planning, including development and implementation of DA policies, standards, and procedures. Understands data from the perspective of data processing and in the context of different life-cycle phases. Activities may include data quality engineering, metadata consolidation and integration, metamodel development and maintenance, repository management, data warehouse design and data mining, data security administration, and formulation of enterprise-specific data metrics. Work Environment: Location: Annapolis Junction MD [On-site] Travel Requirements: Minimal 0-20% Travel Working Hours: Standard 40 hour per week Qualifications : Required: Clearance: Top Secret with SCI Requires 5 to 8 years with BS/BA or 3 to 5 years with MS/MA or 0 to 2 years with PhD. Experience in Infrastructure/Datacenter engineering and integration for both physical and virtual infrastructure hosting one or more Operating Systems: Windows, Linux, Solaris, UNIX, and/or AIX systems. Experience in VMware vCloud Enterprise Suite and hybrid cloud with multiple classified Government clouds. Must have a current DoD 8570.1-M IAT Level III certification. Desired: Professional-level Linux, VMware, Network, Storage, or Cloud certifications desired. ITIL Foundations certification desired Basic Compensation: $120,000 to $205,000 This range is for the Maryland area only The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. Additional Compensation: KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance. Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together. KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Location: Waltham, MA (hybrid) NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow - that's where you come in. Join our AI Underwriting team as a Vendor Data Analyst and play a key role in shaping how external data powers underwriting decisions. This role combines vendor coordination, project management, and hands-on data analysis. You'll research vendors, manage Proofs of Concept, monitor data usage, and triage issues-helping NEXT get the most value from its external data partnerships. What You'll Do: Research potential new data vendors and prepare supporting materials. Track and project manage Proofs of Concept, ensuring milestones are met and results are captured. Retrieve PoC data, perform initial analysis, and summarize findings for review. Support the contracting process for vendors, coordinating with legal, finance, and vendors for POCs, new contracts, and renewals. Triage vendor issues as the first point of contact; escalate unresolved problems as needed. Monitor usage dashboards for fill rates, spend, and anomalies; prepare reports comparing usage to budget. Own and update vendor documentation, including information from contracts, product catalogs, and performance notes. Work with internal Product Managers to provide sample queries; run data analysis using SQL and Python. What We Need: Vendor Support: Strong organizational skills to manage intake, track PoCs, and coordinate across multiple vendor projects. Data Skills: Ability to work with SQL or Python for data retrieval and analysis; comfort interpreting vendor datasets. API Familiarity: Understanding of APIs and ability to interpret responses; willingness to learn Postman or similar tools. Communication: Clear written and verbal skills for summarizing results and coordinating with stakeholders. Problem-Solving: Ability to triage vendor issues and follow through to resolution. Documentation: Attention to detail in maintaining accurate vendor records and data usage documentation. Unstoppable Qualifications: Experience with vendor coordination, procurement workflows, or data operations. Prior exposure to insurance, fintech, or other regulated industries. Familiarity with collaboration/documentation tools such as Confluence. Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Next Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website ( https://consumer.ftc.gov/articles/job-scams ), or you can contact your local law enforcement agency.

P-8 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products. The impact you will have Lead product management for one of the fastest growing products and businesses at Databricks Make company wide impact by driving Data Engineering across the Databricks product portfolio Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry Define, shape, and drive the future of data processing, data applications, and data pipelines Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market. What We Look For 5+ years of product management and related experience with enterprise or SaaS products. Educational or professional background in computer science or related engineering fields. Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts. Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.) Analytical skills to make data-driven decisions (e.g. analyze product usage) Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form A background in Data Engineering is a plus but not required.

About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world's most advanced AI infrastructure ecosystem. The Data Center Engineering team is at the core of this mission. This team sets the infrastructure strategy, develops cutting-edge engineering solutions, partners with research teams to define the infrastructure performance requirements, and creates reference designs to enable rapid global expansion in collaboration with our partners. As a key member of this team, you will help design and deliver next-generation power, cooling, and hardware solutions for high-density rack deployments in some of the largest data centers in the world. You will work closely with stakeholders across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI's infrastructure vision to life. About the Role: We're seeking a data center R&D engineer with extensive experience in designing, performing validation testing, commissioning, and operating large-scale power, cooling, and high-performance computing systems. This role focuses on developing and validating new infrastructure and hardware, including high-voltage rectifiers, UPS systems, battery storage, transformers, DC to DC converters, and power supplies. A strong foundation in technical design, operational leadership, and vendor collaboration is critical, with an opportunity to lead high-impact infrastructure programs. You Might Thrive in this Role: Oversee electrical, mechanical, controls, and telemetry design and operations for large-scale data centers, including review of building and MEP drawings across all project phases from concept design to permitting, construction, commissioning and production. Develop, test and implement operational procedures and workflows from design through commissioning and deployment. Perform validation testing of all critical equipment and hardware in partnership with equipment vendors and ODMs. Lead buildout of R&D lab, including equipment selection, test infrastructure for high-density liquid-cooled racks, and staffing plans. Select and manage engineering tools (CAD, CFD, PLM, PDM, electrical, mechanical, power/network management). Collaborate with external vendors to select, procure, and manage critical infrastructure equipment (e.g., UPS, generators, transformers, DC to DC converters, chillers, VFDs). Ensure seamless integration of power, cooling, controls, networking, and construction systems into facility design. Provide technical direction to teams and vendors, ensuring safety, quality, and compliance with local codes, standards and regulations. Manage vendor relationships and ensure adherence to safety, performance, and operational standards. Qualifications: 20+ years of experience in data center design, operations, and critical systems maintenance. Proven leadership across design, commissioning, and operation of large-scale data center campuses. Deep expertise in infrastructure systems (power, cooling, controls, networking) and operational workflows. Hands-on experience with critical infrastructure equipment and testing protocols. Strong track record in lab development, equipment selection, and facility operations. Familiarity with engineering tools (CAD, CFD, PLM, etc.) and their integration across teams. Experience navigating regulatory environments and working with government agencies. Excellent cross-functional communication and stakeholder collaboration. Bachelor's degree in engineering required; advanced degree and PE certification preferred. Preferred Skills: Expertise in equipment design, agency certification, and validation testing. Experience in global, matrixed organizations and multi-site operations. Skilled in vendor negotiations and supply chain management. Familiarity with sustainable and energy-efficient data center design principles. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! We are seeking a highly skilled and hard-working Senior Test Architect to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of our flagship super computers and data center offerings. If you are a dedicated engineer with a deep understanding of firmware and date center systems, and you thrive in an exciting, innovative environment, this could be the flawless role for you! What You'll Be Doing: As a Firmware Test Architect at NVIDIA, you will be a key technical leader driving quality and reliability across our next-generation firmware stack. Your work will directly impact NVIDIA's ability to deliver robust, secure, and high-performing solutions for AI, HPC, and cloud-scale systems. You will: Define End-to-End Test Strategy: Own and drive the overall test architecture and validation strategy for firmware across multiple NVIDIA platforms-from pre-silicon simulation and emulation to post-silicon bring-up and production readiness. Develop test plans aligned with product deliverables and customer use cases. Architect Scalable Test Infrastructure: Design and implement modular, reusable test frameworks and automation harnesses that support functional, integration, stress, regression, power, security, and performance testing. Ensure test infrastructure scales efficiently across hundreds of systems in parallel. Engage with Engineering Teams across Functions: Work closely with firmware developers, hardware architects, silicon validation, platform QA, and system software teams to ensure comprehensive test coverage. Influence early design decisions to optimize testability and automation readiness. Own Firmware Quality Metrics: Define quality KPIs such as code coverage, system uptime, bug escape rate, and validation completeness. Establish dashboards and reporting mechanisms to track progress and drive data-driven decision-making. Drive Root Cause Analysis and Debugging: Lead complex issue investigations that span firmware, software, and hardware layers. Develop and document debug methodologies and tools to improve diagnosis efficiency across the team. Innovate in Lab Automation and CI/CD: Partner with DevOps and infrastructure teams to enhance test automation pipelines, integrate continuous testing into nightly and pre-merge workflows, and ensure fast and reliable release qualification. Enable Productization and Customer Readiness: Validate real-world use cases, customer configurations, and production scenarios. Contribute to release gates and sign-off criteria to ensure firmware is ready for deployment in systems critical to the mission. Mentor, Lead, Explore and Adopt Emerging Technologies: Serve as a technical mentor and coach to firmware QA engineers and junior test developers. Foster a culture of quality, innovation, and continuous learning across the organization. Stay up to date on trends in embedded validation, test automation frameworks, and industry standards. Champion the adoption of new tools, methodologies, and best practices to raise the quality bar. Boost Team Efficiency with AI: Demonstrate proven experience using AI-powered tools and copilots to accelerate test development, automate repetitive validation workflows, and streamline debug and root cause analysis. What we need to see: B.S./M.S./PHD in Electrical Engineering, Computer Engineering, Computer Science, or related field. 12+ years of experience in software/firmware testing, with a focus on embedded or low-level systems Strong knowledge of system architecture, boot processes, SoCs, I2C/SPI/PCIe interfaces, and embedded controllers. Proven experience designing test frameworks and infrastructure in Python, C/C++, or similar languages. Expertise with platform standards for security, telemetry and manageability (NIST, DMTF) Hands-on experience with server platform, network, storage, cluster configuration and debugging. Background with platform telemetry, datacenter node lifecycle management/support including CPU/GPU workloads Proficiency in scripting languages such as Python. Expertise in administering, operating, and configuring Kubernetes and Envoy. Validated experience in Continuous Integration/Continuous Delivery (CI/CD) tools such as Gitlab and Jenkins and the GitOps model. Experience with lab automation, HW-in-the-loop testing, and CI/CD pipelines (e.g., Jenkins, GitLab). Strong debugging, problem-solving, and analytical skills. Excellent communication and collaboration skills; experience working in a globally distributed team is a plus. Ways To Stand Out From The Crowd: Experience with NVIDIA platforms (e.g., DGX, HGX, Grace Hopper systems). Exposure to security validation, compliance (e.g., FIPS, BMC security), or thermal/power validation. Prior role as a test architect or technical lead for large-scale firmware or embedded validation programs. Contributions to open-source testing tools or frameworks with strong knowldege of cloud-scale validation, infrastructure automation, or virtualization. Prior experience with using AI tools to design test plan, identify test gaps, automation and failure analysis By joining our team, you will be part of a forward-thinking company that values innovation and creativity. We offer a competitive salary and benefits package, a flexible work environment, and the opportunity to work with some of the industry leading experts. If you're ready to take your career to the next level, we'd love to hear from you. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

DSV - Global transport and logistics In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world. Our reach is global yet our presence is local and close to our customers. Read more at www.dsv.com Location: USA - West Valley City, 3684 West 2340 South Division: Solutions Job Posting Title: Data Center Supervisor Time Type: Full Time . DSV is an equal employment opportunity employer. Candidates are considered for employment without regard to race, creed, color, national origin, age, sex, religion, ancestry, disability, veteran status, marital status, gender identity, sexual orientation, national origin, or any other characteristic protected by applicable federal, state or local law. If you require special assistance or accommodation while seeking employment with DSV, please contact Human Resources at hr@us.dsv.com. If you are interested in learning the status of your application, please note you will be contacted directly by the appropriate human resources contact person if you are selected for further consideration. DSV reserves the right to defer or close a vacancy at any time. DSV - Global transport and logistics Working at DSV means playing in a different league. As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let's grow together as we continue to innovate, digitalise and build on our achievements. With close to 160,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers' needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you. At DSV, performance is in our DNA. We don't just work - we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusivity, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company - this is the place to be. Start here. Go anywhere Visit dsv.com and follow us on LinkedIn and Facebook. open/close Print Share on Twitter Share on LinkedIn Send by email

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

WELLTOWER - REIMAGINE REAL ESTATE WITH US Welltower, now the world's largest real estate company by market capitalization, is continuing to grow at an exciting pace! At Welltower, we're transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious-guided by our mantra: The only easy day was yesterday. We're looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team. SUMMARY The Counsel, Healthcare Transactions & Regulatory Data will be accountable for the healthcare aspects on applicable transactions as well as managing the data and analytics program specific to health care regulatory compliance and performance across our network of properties. This individual will play a critical role in advising on healthcare regulatory matters-including those arising in the context of mergers, acquisitions, dispositions, and operator transitions. The ideal candidate will have a strong healthcare legal background, with demonstrated experience supporting M&A transactions and related licensure and change of ownership (CHOW) activities. KEY RESPONSIBILITIES Advise on legal and regulatory issues arising in connection with corporate transactions, including acquisitions, dispositions, operator transitions and facility closures, with a particular focus on healthcare-specific considerations. Lead or support the preparation and submission of licensure, CHOW, and other required filings with Federal and State agencies related to transactions. Collaborate with deal teams to evaluate and negotiate regulatory terms and conditions of healthcare transactions, ensuring compliance with applicable laws and mitigating legal risk. Create and oversee the process for collecting, organizing, documenting, and storing all health care regulatory compliance data (including, but not limited to complete licensure information), whether Federal or State required, across our business segments, including skilled nursing and seniors housing facilities and partner with Business Insights team on the data collected in their environment. Partner with the Legal and Business Insights teams to ensure careful and accurate tracking of regulatory data and business insights data. Work with our partners, operators and third parties to make sure that data is consistently gathered and in compliance with Federal, State, Local and any other regulatory requirement. Utilize/examine Federal, State and other databases to identify data useful to our business. Work closely with Privacy and Security Officers to coordinate the creation, maintenance and revision, if necessary, to policies and procedures for new and existing compliance programs. Develop and foster effective communication of current trends and regulatory changes among Welltower's stakeholders, including internal team members as well as industry associations and regulators. Perform special projects as assigned. OTHER DUTIES Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. TRAVEL Some out-of-area and overnight travel may be expected. MINIMUM REQUIREMENTS Law degree (J.D.) is required. CHC (Certified in Healthcare Compliance) certification preferred 4+ years healthcare transaction experience required Transactional experience covering assisted living, memory care, skilled nursing and/or senior congregate care settings is preferred. Strong familiarity with Federal and State health care laws, licensing and other standards, Medicare and Medicaid programs. Advanced Microsoft Excel skills. Ability to identify and extract data from multiple sources, summarize and analyze for trends. Strong understanding of healthcare documentation and electronic software programs. Excellent written, oral, and presentation communication skills. Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. WHAT WE OFFER Competitive Base Salary + Annual Bonus Generous Paid Time Off and Holidays Employee Stock Purchase Program - purchase shares at a 15% discount Employer-matching 401(k) Program + Profit Sharing Program Student Debt Program - we'll contribute up to $10,000 towards your student loans! Tuition Assistance Program Comprehensive and progressive Medical/Dental/Vision options Professional Growth And much more! https://welltower.com/newsroom/careers/ COMPENSATION Salaries may vary by location. The range for this role in New York City is $175,000 - $225,000 plus bonus. Final compensation determinations are made based on a variety of factors, including, but not limited to, the candidate's individual experience, education, and skill level; business strategic priorities; primary office location; scope and anticipated strategic impact of the role. ABOUT WELLTOWER Welltower Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors - our North Star. Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet