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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized. Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. You will join a dynamic and innovative team working at petabyte scale with cutting-edge big data platforms and technologies. Our mission is to streamline and automate the repetitive aspects of data science to accelerate innovation in AI/ML-driven fraud detection. We specialize in building high-quality, scalable ETL pipelines, developing robust feature engineering workflows, and creating shared tools that empower data scientists across the organization. Additionally, we play a key role in deploying model features and ensuring seamless integration into production environments. What will you do? Work with cutting edge big data platforms and technologies at petabyte scale Be responsible for writing performant, clean, and testable code Develop and maintain data pipelines to automate tasks within data science and data engineering. Work in cross-functional teams and across different business units to solve complex problems. Assist in deploying and validating production artifacts Proactively identify opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams. Create data assets that are well-modeled, thoroughly documented, and easy to understand and maintain. Develop function requirements in complex environments All About You: Hands-on knowledge of any big data engine (preferably Spark) Proven experience in Python and SQL Proven ability to write clean code that is readable, maintainable and follows best practices and coding standards Strong experience with CI\CD (Git, Jenkins, etc) Excellent communication skills Highly skilled problem solver Exhibits a high degree of initiative Strong curiosity and a desire to continuously learn and grow Undergraduate degree in CS, or a STEM related field. Nice to have: Experience with PySpark, Airflow, Databricks, Hadoop Experience in with data engineering on petabyte scale data Passion of Machine Learning Experience optimizing code using GPUs Comfortable with pioneering new technology Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Corporate Audit Services (CAS) is an independent and objective auditing and consulting function dedicated to enhancing operational efficiency across Eli Lilly and Company. CAS supports the organization's strategic goals by evaluating and improving risk management, control, and governance processes through a disciplined and methodical approach. The Senior Director of Data Analytics, Automation, and Strategy plays a pivotal role in advancing CAS's capabilities in data-driven auditing and enterprise assurance. This leader will drive innovation through analytics, automation, and emerging technologies such as generative AI, while fostering collaboration across assurance functions such as Ethics and Compliance, Integrated Risk Management, and Global Quality. The primary focus of the of this role is to lead the development and continuous refinement of Corporate Audit Services' data analytics, automation, and artificial intelligence capabilities. Within CAS, the Senior Director will be responsible for shaping and executing a comprehensive data strategy, one that leverages enterprise data assets and embraces emerging technologies, to elevate the impact and efficiency of audit and assurance activities. This individual will lead a team of data analytics and automation professionals, ensuring the department's needs for analytics and fraud detection are met. The team will deliver analytics-driven services and solutions that support CAS's independent risk assessments and audit engagements. The Senior Director will oversee all aspects of the function's operations, including strategic planning, organizational design, staffing, and day-to-day leadership. A key responsibility of this role is to integrate data analytics and automation throughout the audit lifecycle. By doing so, the Senior Director will help fulfill internal audit objectives, enhance audit efficiency, deliver greater value to stakeholders, and strengthen the overall assurance provided by CAS. Beyond CAS, the role will also support enterprise-wide initiatives that apply analytics and automation across assurance functions. This includes leveraging tools and technologies to drive operational efficiencies, uncover insights and themes, and reinforce a strong and resilient control environment. In addition to executing CAS's analytics and automation strategy, the Senior Director will serve as a champion of best practices, both within internal assurance functions and in collaboration with external counterparts. The role requires building strong, collaborative relationships with audit colleagues and business stakeholders across the enterprise. Through these partnerships, the Senior Director will help advance the use and impact of analytics and automation in strengthening the company's risk and control framework. This position reports directly to the Sr. Vice President - Finance and General Auditor. Responsibilities Data Analytics and Automation Strategy Lead the vision, strategy, and implementation of data analytics, automation, artificial intelligence, and other technical solutions to strengthen the company's risk and control environment. Define and enforce development standards, prioritization criteria, and processes to guide team projects and ensure alignment with organizational objectives. Innovate and implement strategies to acquire and utilize data in the audit process, enhancing internal audit efficiency and productivity. Leverage analytics and automation tools to optimize internal controls testing and enable continuous audit and monitoring programs. Conduct comprehensive analysis of large data sets to identify anomalies, outliers, and patterns that assess the effectiveness of internal controls. Develop and present insightful reports and visual dashboards that integrate quantitative and qualitative data from enterprise assurance functions. Foster collaboration with other data analytics teams and identify opportunities to leverage existing analytics mechanisms in audit engagements. Cultivate expertise in key enterprise data sources and lineage to derive meaningful audit analytics results. Collaborate with business and technology stakeholders to stay informed of changes in data architecture and identify new data sources for analytics. Seek external perspectives on processes and technologies to enhance Lilly's capabilities in data access, utilization, and automation. Project Management and Audit Support Ensure successful and timely execution of data analytics-related and other audit activities throughout the audit cycle. Contribute to the development of streamlined engagement strategies, including clearly defined scopes, fieldwork approaches, and work programs. Provide direction and support in crafting ad-hoc and continuous monitoring reports. Collaborate with Internal Audit leadership to identify key performance indicators and analytics use cases that enhance audit processes and value. Demonstrate proficiency in internal audit and risk assessment processes, identifying opportunities to improve efficiency through analytics tools or new technologies. Utilize data analytics tools and advanced techniques for data preparation, analysis, and visualization to support audit projects. Fulfill data analytics requests from auditors, including data extractions using business intelligence tools and programming software. Conduct ongoing assessments of CAS's analytics needs, capabilities, and tools, recommending enhancements as needed. Leadership and Coaching Lead a high-performing team of data analytics and automation professionals, responsible for delivering analytics-driven solutions that support CAS's risk assessments, fraud detection, and audit engagements. Serve as a mentor and coach, developing team capabilities in advanced analytics, automation, and assurance methodologies. Foster a culture of innovation, continuous improvement, and collaboration, encouraging the adoption of emerging technologies such as generative AI to enhance audit effectiveness. Promote cross-functional collaboration by building strong partnerships with internal audit colleagues and enterprise stakeholders across assurance functions. Lead efforts to upskill the broader CAS organization in data analytics and automation by sharing knowledge, offering training opportunities, and enabling all internal audit team members to adopt tools and techniques that enhance decision-making and operational efficiency. Basic Qualifications Bachelor's Degree in IT-related field (Information Systems, Computer Science, Business Analytics, Engineering, etc.) Minimum requirement of 6 years in progressive experience driving business outcomes through innovative IT/Data solutions. Proven expertise in Power BI, including semantic modeling, DAX, Power Query, and advanced visualization techniques. Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role. Additional Preferences Proven expertise in Microsoft Fabric Demonstrated ability to gather requirements and lead successful implementation of complex processes, systems, and capabilities Previous audit experience with strong understanding of audit process automation design and implementation. Demonstrated strong teamwork, communication, leadership and influence skills. Experience in cross-functional collaboration. Excellent communication and listening skills with the ability to interact effectively with all levels of management. Ability to translate ambiguity and complexity into a meaningful, actionable framework Willingness to challenge and speak up Ability to effectively lead and drive change Strong design sense and familiarity with UX/UI best practices in data presentation. Experience with Data Engineering and Data Architecture concepts and best practices Experience with working with data from ServiceNow, Veeva, Workday, SAP, and other enterprise platforms. Understanding of Robotics Process Automation (RPA), Artificial Intelligence (AI), and other analytics tools and technologies Practical experience with internal control standards and control testing strategies. Location: Lilly Corporate Center Travel: Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $154,500 - $239,800 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Supports and executes the successful implementation and delivery of the LoD2 Enterprise Data Risk Oversight Program. Responsible for understanding and executing against the key 2LOD risk oversight advisory procedures, processes and tools to drive impact. Supports development of key management reporting as needed. This position reports to the Senior Risk Oversight Manager. This position will also work closely with 1LOD partners to effectively synchronize activities, and deliver against the top Program priorities, goals and objectives. Essential Duties and Responsibilities Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Drives successful execution of the EDRO Coverage and Operating Model including risk advisory, effective challenge and independent risk assessment responsibilities and delivery. Ensures active engagement and collaboration with key business partners and stakeholders to ensure effective communication, education and understanding of EDRO Program requirements and expectations as appropriate and to drive and facilitate achievement of common goals and objectives. Effectively contributes to the execution and delivery of the EDRO strategic plan including the supporting tactical plans/roadmaps. Ensures all applicable laws, rules, regulations, internal policies, standards, and procedures are being followed and can evidence adherence. Drives effective issues management and remediation execution in alignment with the Enterprise Issue Management (EIM) Program as applicable. Supports and facilitates data risk reporting and metrics to effectively reflect and quantify data risk across the enterprise. Promotes and fosters a strong Truist risk culture driving proactive risk management and remediation accountability across the enterprise. Performs effective challenge on covered areas for all significant data processes and initiatives prior to moving to 3LoD for validation. Provides risk advisory to strengthen data risk controls when applicable. Supports the Single Point of contract for Data Risk areas within Business Units and/or Corporate Function. Qualifications Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions .Bachelor's degree in technology, Data, Business and/or Finance. Three plus years of experience in banking, technology, operations, risk management and/or regulatory agencies. Three plus years of data management, governance, analytics, testing and/or risk management experience. Strong business acumen/knowledge, management experience, problem solving, critical thinking, influencing and sound decision-making skills. Demonstrates the ability to effectively prioritize. Strong experience and understanding of risk and controls framework development, management, and measurement. Excellent interpersonal and communication skills demonstrating the ability to build credibility and trust with all levels of management. Functional and technical knowledge of Data Management, Data Analytics and Data Controls framework across data supply chains. Demonstrated ability to effectively interact, collaborate, prepare and plan in a highly matrixed and complex environment and consistently execute in delivering high quality executive level work products. Has demonstrated strong change management abilities and skills to effectively support and manage change and navigate through ambiguity. Preferred Qualifications: Data compliance knowledge/experience regarding applicable laws/rules/ regulations. Experienced in working with third parties (On or Offshore, Vendors, etc.). Familiar with Governance Risk and Compliance platforms, e.g., Archer. General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

The Index Data Platform Manager plays a pivotal role in shaping Nasdaq's Index Platform by leading the strategy for onboarding, standardizing, and transforming vendor and internal data into production-ready assets. This role is responsible for defining business requirements and data methodologies that support the construction, calculation, and dissemination of Nasdaq's global indexes. The ideal candidate will be a subject matter expert in index data for equity indexes, with deep knowledge of vendor ecosystems, data transformation logic, and downstream API enablement. Nasdaq Index's Platform is a multi-vendor, multi-asset-class calculation, dissemination, and data access point for vendor and derived data, and calculation algorithms that drive Index research, construction, and management decisions of Nasdaq's global index business. The Index Platform Management Team is responsible for researching, making recommendations and implementing standards for how and which data and methodologies are used by Nasdaq's Indexes, and to promote standardization across the Index Platform. Members of the Index Platform Management Team are industry leaders with a deep understanding of Index construction and methodologies and of global capital markets, including equity and derivative trading data, corporate actions, and company financial statements. Team members collaborate with cross-functional stakeholders including platform users, technology, and governance. The Role: The Index Data House Views role will be responsible for researching and creating and maintaining rules for transforming data to be production ready for use in the construction of Nasdaq Indexes. The success candidate will need extensive knowledge of data, the sources of data and data vendors used in equity index production. Key Responsibilities: Data Strategy & Onboarding Implement the strategy for how index data is structured, processed, and leveraged within Nasdaq's Unified Data Platform (UDP), ensuring scalability, flexibility, and modularity to support evolving business needs. Lead the strategy for onboarding vendor data across asset classes (equities, derivatives, crypto, etc.) into Nasdaq's Unified Data Platform. Work with the Index Business, the end data users, to define and implement rules for transforming raw vendor and internal data into standardized, production-ready formats based on industry standards or internally developed conventions. Ensure data is bi-temporal, deduplicated, and normalized to support index construction and replication. Business Requirements & Master Data Design Write detailed business requirements for the creation and maintenance of master datasets, including reference data, corporate actions, and transactional data. Collaborate with Technology, Governance, and Index Management teams to ensure data masters are structured to support downstream index APIs and tools such as Index Composer, Index Monitor, and Portfolio Maintenance Calculator. Define logic for selecting Nasdaq's "single source of truth" for each data field, including security level derived calculation rules and QA guidelines. Platform Enablement & Vision Contribute to a long-term vision for a modular, scalable, and flexible data processing architecture that supports rapid ingestion, transformation, and delivery of vendor and internal data. Promote standardization across the Index Platform by recommending and implementing data methodologies and policies that align with firmwide goals. Maintain awareness of index trends, industry standards, and the data drivers of new index products. Thought Leadership & Collaboration Champion initiatives that advance the Index Platform's capabilities in data methodology and management. Act as a subject matter expert on data methodologies and vendor capabilities (e.g., Bloomberg, FactSet, Morningstar), advising internal teams including Research & Development, Benchmark Administration, and Client Services. Represent Nasdaq's data policies and transformation logic to internal and external stakeholders, defending decisions with fact-based rationale and market awareness. 10+ years of experience in index data management, vendor data integration, or financial data operations. Deep understanding of index construction, data vendor ecosystems, and adjudication logic used by index providers and asset managers. Proven ability to write business requirements and lead cross-functional data initiatives in an Agile environment. Strong communication skills and a client-focused mindset that considers the real-world trading implications of index data policies. This position will be located in Philadelphia, and offers the opportunity for a hybrid work environment (at least 3 days a week in office, subject to change), providing flexibility and accessibility for qualified candidates. Come as You Are Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. 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 an accommodation. What We Offer We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success. The base pay range for this role is $116,200 - $193,600. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. Nasdaq's programs and rewards are intended to allow our employees to: Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities For more information, visit Nasdaq Benefits & Rewards Career page.

AIML - Data Analytics Engineering Intern- ASUX Aptiv is a global technology company that develops safer, greener, and more connected solutions for the automotive industry. We're at the forefront of driving innovation in mobility, working with leading automakers to shape the future of transportation. If you're passionate about cutting-edge technology and want to help create the future of mobility, Aptiv is the place for you. Your Role Are you passionate about software testing and curious about how advanced vehicles ensure reliability and performance before hitting the road? As a Software Test Engineering Intern with the Advanced Safety and User Experience (ASUX) team in Troy, MI, you'll be immersed in SWE.6 software-level verification as part of high-impact projects including Ford and STLA programs. You'll work in a collaborative environment, learning how to simulate, automate, and validate cutting-edge automotive software-paving the way for safer, smarter vehicles. What You'll Do: Learn and apply test methodologies using a virtual test environment (IPG CarMaker). Develop and execute test cases using AI-driven tools and collaborate on automation strategies. Work with GIT repositories, implement branch strategies, and contribute to test case libraries. Gain hands-on experience in software testing for complex vehicle systems before integration into the vehicle platform. Build proficiency in tools and languages such as Python, YAML, C++, Simulink, and more. Engage with a network of professionals through team events and open houses, building both skills and industry insight. What You'll Need: Enrolled in a degree program in Computer Engineering, Software Engineering, Electrical Engineering, or related field. Basic programming experience (Python, C++, or similar). A keen interest in software validation, automation, and automotive systems. Strong analytical skills and attention to detail. Willingness to learn advanced testing frameworks and AI-assisted test design. Great communication skills and a collaborative mindset. What's In It For You: Gain hands-on experience working on real-world projects that impact the future of mobility. Work alongside industry experts who are driving innovation in automotive safety and user experience. Be part of a dynamic and inclusive work environment that fosters creativity and collaboration. Opportunity for full-time employment or future internships at Aptiv based on performance. Why join us? You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs. You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents. You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Your Benefits at Aptiv: Holiday Paid Time Off Relocation assistance may be available Discount programs with various manufacturers and retailers Muti-discipline experience in an Automotive product design and manufacturing major supplier Meaningful work that makes a difference in the world Learning and development opportunities Opportunities to give back to the community Apply today, and together let's change tomorrow! Privacy Notice- Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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

Compass Technology Salary: $120,000-$150,000 + bonus eligible Compass Technology is a dedicated internal team for Compass Group delivering enterprise-wide initiatives that support our diverse customer base and enhance our business operations. Our domain encompasses a vast spectrum of opportunities, from hands-on desk support to Cybersecurity, Cloud Engineering, AI, and Modern Application development. We are committed to building robust IT infrastructures, driving digital transformation, and much more. Job Summary This position will be supporting Sales Technology, a technical team within Compass Group, focusing on a multitude of use cases ranging from supporting new business sales, client retention, and operational needs across Compass Sectors and lines of business. The Sales Technology team is seeking an Enterprise CRM Data Architect with deep experience across Microsoft Dynamics, Power Platform, Snowflake, AI/ML integrations, and enterprise-scale data ecosystems. This role will serve as the principal architect shaping how data flows across our enterprise landscape-from CRM and Power Apps to AI-powered analytics and Snowflake data warehousing. As a hands-on strategist and a technology translator, you'll work across business lines, development, and analytics teams to define scalable data architectures that power intelligent insights, automated workflows, and future-ready platforms. You'll partner closely with Solution Architects, Developers, stakeholders, and end users to evolve our data capabilities and drive our data transformation forward. Job Responsibilities Data Architecture & Strategy Lead the design of data architecture across Dynamics 365, Power Platform, and external enterprise systems. Define and implement best practices for data modeling, data integration, and metadata management. Architect robust data pipelines between Dynamics, Azure Data Factory, Fabric, Snowflake, and other systems. Ensure data scalability, quality, and governance while balancing performance and usability. Integration & Platform Innovation Spearhead integration between Microsoft technologies (Dataverse, Power Platform, Azure) and external sources like Snowflake, AI services (e.g., CoPilot, Azure Cognitive Services, OpenAI), and ERP systems. Collaborate with solution teams to implement AI-driven capabilities within CRM and Power Apps experiences. Create reusable patterns and accelerators for data access, transformation, and real-time synchronization. Collaboration & Enablement Act as the Data thought leader and bridge between data engineering, analytics, and platform teams. Mentor developers and analysts on best practices for data architecture and low-code platforms. Translate complex data concepts for non-technical stakeholders, advocating for scalable design. Governance & Optimization Drive data quality, lineage, and security standards across platforms. Collaborate with the Power Platform CoE to implement governance models and policies. Support performance tuning of analytics models, apps, and integrations. Qualifications Bachelor's in Data Science, Computer Science, Information Systems, or equivalent. 5+ years of experience in enterprise data architecture roles with cross-platform exposure. Deep knowledge of Dynamics 365 CRM data structures and Power Platform extensibility. Expertise in Azure Synapse, Snowflake, or similar cloud data warehouses. Hands-on experience with AI/ML tools and integrating them into business systems. Strong understanding of data modeling, ETL frameworks, API-based integrations, and real-time data architecture. Familiarity with DevOps practices and CI/CD pipelines for data and platform deployments. Special Skills and/or Training Desired: Microsoft Certifications (Power Platform Solution Architect, Azure Data Engineer, or Dynamics CRM). Experience with tools such as Azure Data Factory, Azure Service Bus, Logic Apps, Synapse Analytics, Dataverse, Fabric, Web APIs and Kingsway Soft Strong command of Power BI and data visualization best practices. Experience working in Agile/SAFe environments with high-velocity delivery teams. Self-starter who thrives in a fast-paced, ambiguous environment. Combines big-picture thinking with detail-oriented execution. Customer-centric mindset with an obsession for simplifying complex data experiences. Bold ideas welcome-especially those that turn "what if" into "what's next." Apply to Compass Group today! Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Compass Technology maintains a drug-free workplace. Applications are accepted on an ongoing basis. Associates at Corporate are offered many fantastic benefits. Medical Dental Vision Life Insurance/ AD Disability Insurance Retirement Plan Paid Time Off Holiday Time Off (varies by site/state) Associate Shopping Program Health and Wellness Programs Discount Marketplace Identity Theft Protection Pet Insurance Commuter Benefits Employee Assistance Program Flexible Spending Accounts (FSAs) Paid Parental Leave Personal Leave Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be p formed Remotely, click here for paid time off benefits information. Req ID: 1446145 Compass Technology MARY DICKSON

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. We are seeking a Principal Product Manager - Data Platform to define and lead the strategy, roadmap, and execution of GoodLeap's enterprise data platform. This is a pivotal leadership role responsible for enabling secure, scalable, and self-service data infrastructure that empowers teams across engineering, analytics, operations, and business units. You will play a critical role in driving GoodLeap's evolution into a truly data-driven organization. This includes building trust in data through governance and cataloging, enabling compliant data sharing in regulated environments, and promoting modern platform capabilities that unlock value for both internal teams and customers. You'll partner deeply with cross-functional leaders across all departments of the organization. If you have a deep understanding of modern data architectures and platforms (without needing to be an engineer), a passion for scalable product thinking, and a strong track record of hands-on product execution, this is the opportunity to help shape the foundation of data at GoodLeap. Essential Job Duties and Responsibilities Lead the vision, strategy, and roadmap for GoodLeap's enterprise data platform - aligning priorities across data engineering, analytics, business, and governance stakeholders Champion the concept of Data as a Product, promoting reusable, well-documented, and discoverable data assets with clear ownership and lifecycle management Partner with data engineering and analytics teams to support scalable, modern data infrastructure - while owning product strategy, user requirements, and success metrics Drive key platform initiatives such as data ingestion, pipeline orchestration, data modeling and transformation, and real-time access, using tools like Databricks, Fivetran, and Spark. Define and manage the product strategy for data governance and compliance capabilities - supporting regulatory requirements like PCI, CCPA, and FCRA Lead the implementation and adoption of data cataloging and metadata solutions (e.g., Unity Catalog, Altan) to improve data discoverability, lineage, and documentation across domains Collaborate closely with business stakeholders (e.g., Compliance, Risk, Finance, and Ops) to ensure the data platform supports their evolving needs with high trust and transparency Create detailed product requirement documents, user stories, and technical specifications for integrations, data onboarding, and data product initiatives Monitor platform usage, establish SLAs, and define success metrics to drive adoption and continuous improvement Promote a culture of data stewardship and cross-functional ownership to improve data quality, usability, and reliability Required Skills, Knowledge, and Abilities 10+ years of product management or related experience, with at least 4+ years focused on data platform, infrastructure, or enterprise data products Deep familiarity with the modern data stack, such as Databricks or Snowflake, Airflow, DBT, Fivetran/Airbyte, Spark, Redshift, BigQuery Experience implementing data cataloging tools (e.g., Altan, Alation, Collibra, Unity Catalog) and defining data governance processes Demonstrated understanding of data architecture concepts, such as data lakes, warehouse modeling, ELT patterns, and real-time streaming - with the ability to communicate effectively with technical teams without owning architecture directly Hands-on experience writing clear and actionable requirements for data platform features, including integrations, pipelines, access controls, and internal data products Prior experience working in regulated environments (e.g., finance, lending), with strong knowledge of PCI, CCPA, SOC2, and other compliance considerations Strong stakeholder management and communication skills - equally comfortable engaging with technical leads and executive-level business stakeholders Exceptional organizational, strategic thinking, and problem-solving skills; able to manage ambiguity and drive decisions in complex environments A passion for building platform products that empower others, foster autonomy, and deliver long-term leverage across teams $215,000 - $230,000 a year In addition to the above salary, this role may be eligible for a bonus and equity. Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.

Department Crown Administrative Office About the Department As one of the first schools of social work in the United States, the Crown Family School of Social Work, Policy, and Practice has shaped the field for more than 100 years. As part of the University of Chicago, the Crown Family School shares the University's core values and distinctive intellectual culture. Crown Family School faculty, staff, and students focus on identifying solutions to complex social problems through research, training, and direct community engagement. Guided by an interdisciplinary tradition, Crown Family School scholars conduct innovative research to address interconnected social challenges such as educational inequality, health disparities, crime and violence, poverty, and child and family welfare-working at multiple scales, from individual to policy-level interventions. More than 10,000 Crown Family School graduates in the US and globally hold leadership positions in academia, at nonprofits, in business, and at governmental agencies The Crown Family School is the home of several academic centers. These include the Susan and Richard Kiphart Center for Global Health and Social Development, the Kersten Institute for Urban Education, the Center for Climate, Health and Society, the Smart Decarceration Project, and the Employment Instability, Family Well-being, and Social Policy Network (EINet). More information may be found at https://crownschool.uchicago.edu/ . Job Summary Reporting to the Senior Associate Dean of Administration, this job provides specialized financial knowledge and breadth of expertise to enable unit leaders to meet organizational needs, align with financial goals and meet strategic targets. Works closely with senior leadership to ensure that the Crown Family School is optimizing its resources. Develops multi-year projections to accurately forecast future expenses. Tracks financial data and maintains short- and long-term projections. Responsibilities Supports the Sr. Associate Dean in developing and executing long-term strategic financial plans. Provides financial and administrative insights to support decision-making and ensure alignment between financial resources and strategic priorities. Participates in the annual and multi-year budgeting processes, collaborating with academic and administrative units to align financial resources with institutional priorities. Oversee all procurement activities, ensuring alignment with University policies and strategic sourcing initiatives to maximize value and mitigate risk. Provides support and expertise in budget planning, financial forecasting, resource allocation, and financial analysis. Monitors financial performance, identifies areas for improvement, and recommends strategies for cost optimization and revenue generation. Collaborates with the Director of Finance, ensuring that recharge revenues, operating spending, University financial transfers, gifts and endowments are appropriately projected and allocated. Collaborates with the Director of Grants & Contracts and the team of professionals that support sponsored awards and purchasing. Ensures compliance with relevant laws, regulations, and University policies. Develops and maintains effective internal controls and risk management practices to safeguard assets, mitigate risks, and maintain the integrity of financial and administrative operations. Develops advanced reporting and dashboards to support timely decision making. Develops reporting and analytic solutions with appropriate data governance and secure access. Advises on all financial activities, including financial analysis and reporting, budgeting, accounting, accounts receivable/payable, and procurement. Leverages expertise for Oracle, Orbit and the FST resources to ensure the division optimizes the implementation, to ensure broad adaptation and training. Collaborates with faculty, staff, students, and external stakeholders to understand their needs and priorities. Fosters strong working relationships and effective communication channels to address concerns, provide guidance, and ensure a positive and supportive environment. Provides financial input based on the development of data collection, metrics, reports and other analytical applications. Analyze, organize and communicate business information to ensure deliverables are meeting or exceeding expectations. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Experience: Moderate to advanced Excel proficiency and comfort in manipulating/analyzing large datasets and proficiency in systems and processes. Strong financial modeling skills. Analyze, interpret and implement University policy and procedures and sponsor guidelines and regulations to ensure accurate response. Knowledge and familiarity with the financial transformation system (Oracle and Orbit). Preferred Competencies Strong attention to detail, highly organized, timely, and responsive. Work successfully with staff, faculty, and other senior officials (University and external). Excellent interpersonal, written, and verbal communication skills. Manage projects simultaneously, and work under considerable pressure to meet deadlines. Handle confidential information with absolute discretion. Take initiative and organize/complete projects with minimal supervision. Ability to research issues and propose solutions to problems. Ability to effectively work on multiple projects simultaneously and to meet deadlines. Ability to understand details contained within grant contractual language. Ability to communicate financial information clearly and concisely. Analytical and problem solving skills. Proficiency with Microsoft Word and Excel. Working Conditions Hybrid work schedule, on-site at the Hyde Park campus in Chicago 2-3 days/week Application Documents Resume (required) Cover Letter (required) References (when asked) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Financial Management Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $90,000.00 - $135,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

We Build Careers! Lead Electrical Design Engineer - Data Center Greenville SC At Fluor, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you're invited to apply for this role. Job Description The purpose of the Electrical Design Engineer is to provide the essential administrative processes, technical knowledge, and perform the work we have within Fluor- ATLS. This role has the responsibility to promote Fluor's competitiveness within the global marketplace by delivering quality services of unmatched value and technical competence. This position serves as an Area Lead or Lead on assigned projects or performs moderately complex engineering assignments, evaluates, selects, and applies standard engineering techniques to a broad set of complex assignments. At Fluor, this role will be part of the Advanced Technology & Life Sciences Division and will be a part of a group of leaders excelling within some of the most complex projects. The project types include but, are not limited to: Advanced Manufacturing, Pharmaceuticals, Food, Semiconductor, Data Centers, Lithium Processing and many more. Apply Cost Competitive Execution techniques to develop the most cost-effective total project solution for execution of the discipline engineering work Develop and review specifications, including design criteria Participate in activities associated with equipment and material procurement, permitting, and subcontracting" Perform and check calculations, specify equipment, and solve moderately complex engineering problems Review vendor equipment documentation within the discipline and from other disciplines for compliance with project requirements, and actively seek discrepancy resolution Analyze and make independent recommendations regarding solutions to problems with varying complexity in accordance with organization and/or project objectives and guidelines Other duties as assigned Basic Job Requirements Accredited four (4) year degree or global equivalent in engineering field of study and ten (10) years of work-related experience Ability to communicate effectively with audiences that include but are not limited to management, coworkers, clients, vendors, contractors, and visitors Job related technical knowledge necessary to complete the job Ability to learn and apply knowledge of applicable local, state/province, and federal/national statutes and guidelines Ability to attend to detail and work in a time-conscious and time-effective manner Advanced knowledge of discipline codes and standards, commercial availability and cost of materials Effort-hour estimating and staff forecasting Managing and leading a large project Project set-up, developing control-level schedules, progress reporting and project close-out Practical field experience Intermediate computer and software skills to include the use of word processing, e-mail, spreadsheet and electronic presentation programs Other Job Requirements Data Center Electrical Power System Design Act as Electrical Discipline focal point for projects Coordinate Electrical Design with other engineering disciplines Knowledge of medium voltage and low voltage power distribution systems Electrical design deliverables such as Single Line Diagrams, equipment layouts, power plans, lighting plans, grounding, and underground distribution Major Electrical Equipment specification/data sheet development for switchgear, transformers, and Motor control centers Schematic Development Develop construction work packages, material estimates and IFC drawings Identify scope and schedule changes Conduct checking and independent review of all electrical discipline deliverables Support construction and commissioning activities as required Mentor junior engineer team members. Preferred Qualifications Professional Engineering license Advanced knowledge of National Electric Code (NEC) Experience with HV/MV distribution Effort-hour estimating and staff forecasting Managing and leading a design team on a large project Project set-up, developing control-level schedules, progress reporting, and project close-out Practical field experience including testing, commissioning, and start-up Intermediate computer and software skills to include the use of word processing, e-mail, spreadsheet and electronic presentation programs ETAP and/or SKM Power System Analysis Software Familiarity with Revit, Smart Plant Electrical, Smart Plant 3D, and other electrical design software #LI-OT1 We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law. Benefits Statement: Fluor is proud to offer a comprehensive benefits package designed to promote employee health, wellness, and financial security. Our offerings include medical, dental and vision plans, EAP, disability coverage, life insurance, AD&D, voluntary benefit plans, 401(k) with a company match, paid time off (personal, bereavement, sick, holidays) for salaried employees, paid sick leave per state requirement for craft employees, parental leave, and training and development courses. Market Rate Statement: The market rate for the role is typically at the mid-point of the salary range; however, variations in final salary are determined by additional factors such as the candidate's qualifications, relevant years of experience, geographic location, internal pay equity, and prevailing market conditions for the specific role. Notice to Candidates: Background checks are carried out as part of any conditional offer made, including (but not limited to & role dependent) education, professional registration, employment, references, passport verifications and Global Watchlist screening. To be Considered Candidates: Must be authorized to work in the country where the position is located. Salary Range: $118,500.00 - $213,500.00 Job Req. ID: 960

Explore a variety of careers in insurance with EMC! By participating in our paid intern program, you'll develop industry-related knowledge, enhance skills that are transferable to any professional setting and do meaningful work to help achieve our goals. Your daily responsibilities, special projects and activities will provide both structured and unstructured opportunities to help you learn and grow as a professional. When you network with executives, connect with a mentor, explore other departments and volunteer in the community, you'll see your impact at EMC on a larger level. Plus, successful interns are invited to apply for regular full-time positions. Join us at EMC! You're going to love it here-you can count on it. This position is eligible to work from home anywhere in the United States Essential Functions: Summer 2026 paid internship working in EMC's claims department Assist claims team in building data solutions for decision making Learns EMC culture, business processes and products Gains an understanding of the insurance claims process Education & Experience: Business major, preferably in business management or analytics Completion of junior year preferred Interest in property casualty insurance career Cumulative GPA of 3.00 or higher Knowledge, Skills & Abilities: Excellent verbal and written communication skills Analytical ability Strong organizational skills Sound decision-making and problem-solving Attention to detail Good personal computer knowledge The hiring salary range for this position will vary based on geographic location, falling within either the $19.50-$23.00 range. A hiring range represents a subset of the full salary range. The actual salary will depend on several factors, including relevant education, skills, and experience of an applicant, geographic location, and business needs. Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws. All of our locations are tobacco free including in company vehicles.

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Denver, CO Seattle, WA San Francisco, CA Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! Magnite conducts 400+ billion ad request auctions daily carrying $450+ million of revenue annually. To stand out among competitors, Magnite strategically focuses on being the most efficient, highest scale independent exchange. About this team: The Core Data Engineering team sits within the data engineering group and maintains technical involvement across the applications and infrastructure that make up Magnite's data pipelines. Our pipelines collectively handle 400+ billion events per day and generate terabytes of data per hour across both cloud-based and on-prem infrastructure. This data underpins the various business lines - including client reporting, internal data science, account managers, and product + business teams - and as such we need to build systems that remain scalable and efficient at this volume of data while also ensuring data consistency and reliability. We value communication, discussion, and sharing of ideas to come to the best technical solutions to our large-scale data challenges. We are looking for people who want to get things done and value open collaboration (including constructive feedback when brainstorming). The team's mandate is technical development across the three platform-specific data engineering teams in the group. As such they get exposure to all aspects of our data engineering infrastructure and applications including Spark jobs, Java-based real-time event processing, and large-scale data warehousing. In this role you will: Get to work on handling internet-scale data problems Help architect and build systems to process our data volume to empower all consumers Have hands-on involvement across the group's various data pipelines and related systems for data delivery Be a part of and promote our culture of collaboration and mentorship Typical challenges we face in this role include: Highly-scalable infrastructure: Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data infrastructure needs to be able to respond accordingly Cost optimization: Improving profit margins by lowering the infrastructure cost basis through building efficient systems Technical architecture considerations given various SLAs for data delivery We're looking for someone: With 5+ years of software development experience with a BS/MS Computer Science or equivalent work experience Who wants to take ownership. We are responsible for the entire software development lifecycle, from requirements gathering to production support To engage in critical and creative thinking, and constructive brainstorming. We expect engineers to present and discuss tradeoffs to solve the problems we face. With either existing experience designing and building systems that work with large-scale data volumes and data ingestion systems at scale in a cloud-first setting, OR established technical excellence with a desire to learn and crush the data engineering world Our current tech stack: Spark (batch + streaming) data pipelines, currently based both on Databricks and on-prem Spark infrastructure, primarily using Scala Streaming event processing data pipeline, using Java Terraform, Docker, Jenkins for CI/CD / infra / application deployment Airflow for job orchestration AWS-based cloud infrastructure including RDS, EC2, S3, Kinesis, ECS Comprehensive Perks and Benefits: Comprehensive Healthcare Coverage for You and Your Family from Day One Generous Time Off Holiday Breaks, Summer Fridays and Quarterly Wellness Days Equity and Employee Stock Purchase Plan Family-Focused Benefits and Parental Leave 401k Retirement Savings Plan with Employer Match Disability and Life Insurance Cell Phone Subsidy Fitness and Wellness Reimbursement Company Culture: Community Service and Volunteer Events Company-Matched Charitable Contributions Wellness Coach and Mental Health Support Career Development Initiatives and a Career Growth Framework Culture and Inclusion Programs Bonusly Peer-to-Peer Recognition Program About Us The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. Only candidates in the following states will be eligible for employment: AZ, CA, CO, FL, GA, ID, IL, MA, MI, MT, NE, NJ, NY, NC, OK, OR, PA, SC, TX, UT, VA, WA. The base salary range for this position, across all United States geographies, is $150,000 - $170,000 per year. The upper portion of the salary range is typically reserved for existing employees who demonstrate strong performance over time. Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change. Want to learn more about us? Check out our blog for Magnite announcements and Ad Tech industry news! Recruiting Agency Notice Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.

Industry/Sector Not Applicable Specialism Deals Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In Deals; data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Deals (M&A) Tech & Data team you are expected to build tech-enabled business solutions and communicate with both technologists and business partners. As a Senior Associate you are expected to analyze complex problems, mentor others, and maintain rigorous standards. You are expected to navigate multiple engagements, manage stakeholder expectations, and leverage data visualization tools and programming languages to derive insights. You will have the opportunity to harness modern technologies, data engineering, Generative AI, and advanced analytical techniques to deliver differentiated insights in complex M&A scenarios. You will help clients with their broad AI strategy and use case development. You will experiment with and deploy emerging AI tools for structured and unstructured data extraction, scenario modeling, automated reporting, and client storytelling-turning complex deal data into compelling, actionable narratives. You will work closely with leading Private Equity clients and management of their portfolio companies, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and improve portfolio company performance in a fact-driven, data-powered way. Responsibilities Analyze complex problems and provide actionable insights Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low-code/no-code tools Leverage data visualization tools and programming languages Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across various stages of a deal Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks to accelerate due diligence, integration, and value creation analytics Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting Working with Private Equity deal teams to design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation Communicate effectively with business stakeholders and technologists Mentor and guide junior team members Build and nurture meaningful client relationships What You Must Have Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, Engineering 3 years of experience in the data and technology space What Sets You Apart Master's Degree preferred Proficient in programming languages such as SQL, Python or R, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and natural language processing tools (e.g., spaCy, HuggingFace Transformers) Familiarity with data engineering pipelines (e.g., Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks, including experience with collaborative notebooks and scalable data processing Experience using Generative AI platforms (e.g., OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement and insight generation Experience integrating analytics with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Consulting Industry experience Certifications in database programming such as Databricks, MS SQL Server, etc. and/or data visualization certifications such as PowerBI Experience with relational database models and writing Python/SQL queries Experience with data storytelling-turning analytical output into persuasive visual and narrative formats for senior stakeholders Proficiency with data visualization tools (e.g. Power BI, Tableau) Ability to prototype and iterate rapidly using modern analytics and AI tools, balancing speed with rigor Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Proven track record of deploying AI/ML solutions in live business environments, ideally in M&A or transaction contexts Understanding of key financial statements and accounting principles Critical thinking and problem-solving capabilities Ability to navigate multiple engagements and competing priorities Travel Requirements Up to 20% 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. The salary range for this position is: $77,000 - $202,000, 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

ESSENTIAL DUTIES AND RESPONSIBILITIES Data Management Implement strategies and standards to improve data warehousing and reporting processes. Manage data collection procedures across clients, vendors, and team members. Facilitate data exchanges between carriers and vendors. Create and execute data validation and auditing practices to ensure data quality. Analysis Organize and sort complex datasets. Analyze and interpret trends using statistical and visualization tools (Excel, Microsoft Power BI, R Studio, Python, etc.) Conduct health plan analytics, including: Claims utilization, trend, and lag analyses Rate and contribution analysis Financial funding analysis Renewal rate and funding projections and modeling Benchmarking IBNR reporting Utilize analytical tools to develop alternative strategies, plan modeling, and cost reduction opportunities. Perform technical analysis of group insurance contracts and financial arrangements. Reporting Translate analysis into clear and compelling dashboards, presentations, and reports. Assist in the development of actionable, non-technical recommendations based on analytical insights. Prepare ad hoc reports for client teams and clients. Meet with clients to discuss quantitative reports. Perform other tasks as assigned by management. EDUCATION AND/OR EXPERIENCE Bachelor's degree in a related field. 5+ years of related experience in data analytics, underwriting, and/or benefit design. Equivalent combination of education and experience.

Company Overview MARKETview gives colleges and universities an analytical advantage in achieving their goals. Using higher education's only aggregated, real-time student data set, we provide insights that are customized to address each partner's key objectives. We then follow that up with actionable steps they can use to make better, more informed enrollment, marketing, and financial aid decisions. Headquartered in Richmond, Virginia, the company serves a rapidly growing number of partners nationwide, helping them navigate the shifting landscape of higher education. Position Overview MARKETview Education Technology is seeking driven data engineering developers to join us as we build and manage the data infrastructure necessary to make higher education a more data-informed industry. These individuals will be critical contributors to a fast-growing, early-stage education technology business and will have the unique benefit of joining a supportive team of experienced professionals on the ground level. Individuals will support and maintain complex data storage systems and will be responsible for all aspects of development, performance tuning, and monitoring. Responsibilities: Leverage analytic and technical skills to support ingestion and normalization of data from colleges and universities, ultimately making large and complex data sets more usable for our campus partners Support the data and analytics team with client onboarding Support ETL processes to load data to Azure SQL and Azure Data Lake utilizing standard Microsoft tools Utilize SQL Data Tools and python to build ETL processes and solutions Ensure data quality and security using best-in-class business intelligence tools and technology Create technical documentation for databases to assist other team members in client communications Collaborate with the data and analytics team as well as the client service team in support of our partners Uphold the highest standards for data quality and integrity Minimum Requirements: Bachelor's degree in computer science, information technology or related field or a database certification Exposure to Microsoft Azure cloud computing platforms including Azure Data Factory (ADF), Databricks, Function Apps, and SQL Exposure to programmatic languages for data manipulation such as python Understanding of both structured and unstructured data storage Proven ability to test and troubleshoot to solve complex technical problems Impressive interpersonal and verbal communication skills Ability to multitask and prioritize tasks appropriately Preferred Qualifications: Exposure to working with large databases and developing data warehouses Exposure to designing and developing dimensional models Understanding of programmatic languages such as python for managing complex data Bonus Points: Microsoft developer certifications Why MARKETview Education Partners? The MARKETview team is united by a common passion to increase higher education access while improving the performance of colleges and universities and the educational outcomes for students and families. This is the spirit that drives every client partner relationship, as we serve the mission of each with an unwavering commitment to their goals and success. We are looking for equally passionate team members with a similar disposition and willingness to put the success of others - partners and teammates - before their own. If this is you, you'll fit right in. Job Type: Full-time, on-site Location: Richmond, VA Equal Opportunity: MARKETview Education Technology is an equal opportunity employer. We are committed to building a diverse and inclusive environment for our employees and do not discriminate on the basis of any status protected under federal, state, or local law. Qualified candidates must be legally authorized to work in the United States without employer sponsorship for a work visa, both currently and in the future.

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; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role WEX is building a modern, enterprise-wide Data-as-a-Service (DaaS) platform-and at its heart lies the Semantic Data Modeling layer. This layer transforms raw data into trusted, consistent, and reusable 360° data objects that power analytics, automation, and product experiences across domains. As a Senior Staff Software Engineer, you will lead the design and engineering of large-scale semantic data models that represent key business entities like Customer 360, Fleet 360, and Benefits 360. You'll architect systems that enforce data standardization, business logic, and semantic alignment-delivering high-performance, versioned, and auditable data assets to stakeholders across the enterprise. This is more than data modeling-this is about building the shared language of the business. You'll help define and scale the core data objects that every team at WEX will rely on. If you're motivated by systems-level thinking, technical rigor, and semantic clarity, this is your role. This is a high-impact, cross-cutting engineering role that demands deep system thinking, platform mindset, and an ability to influence technical direction at scale. How you'll make an impact Architect and implement the platform foundations for semantic data modeling, including reusable modeling patterns, data versioning, and temporal semantics. Translate complex business definitions into scalable, interpretable, and trustworthy data entities used across analytics, AI/ML, APIs, and operational workflows. Own the modeling of high-volume, high-complexity domains-such as customers, fleets, transactions, and providers-at enterprise scale. Drive rigorous enforcement of data validation, referential integrity, and schema evolution, enabling semantic consistency across domains. Collaborate closely with business, product, and analytics teams to ensure semantic models reflect how WEX understands and uses its data. Define best practices for building modular, testable, and maintainable pipelines, and lead their implementation across a growing team. Guide platform evolution by partnering with Control Plane, Governance, and DataOps teams to embed observability, lineage, and traceability. Experience you'll bring 10+ years of experience in software or data engineering, with a focus on large-scale systems and data modeling platforms. Expertise in data architecture and semantic modeling-with proven experience in designing entity-centric, reusable models (e.g., Customer 360, Provider 360). Deep understanding of data structures, transformation patterns, temporal modeling, and business logic abstraction. Strong software engineering background with experience in building scalable systems using modern architectural patterns. Experience with data lifecycle management, including versioning, auditability, and reproducibility of derived data objects. Excellent communication skills and a track record of cross-functional leadership across engineering, product, and business stakeholders. A passion for building platforms that promote trust, consistency, and scalability in enterprise data usage. 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: $158,000.00 - $210,000.00

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Data Services Engineer at Reliable Robotics, you will architect, design, and implement software to support the development, simulation, test, certification, and operation of complex automated systems for aircraft. Your software will enable engineers and analysts to efficiently and effectively draw conclusions from test & evaluation data, accelerating the product design life cycle. Responsibilities Design and implement test & evaluation data processing pipeline, data storage, and data retrieval services Deploying and managing self-service data visualization and business intelligence platforms (e.g., Grafana, Metabase, Tableau, Jupyter Notebooks) Collaborate with stakeholders to develop the vision, strategy, and roadmap for company-wide data services and governance Provide consultation to engineering teams, driving adoption and fostering data literacy through hands-on guidance, expert training, and clear documentation Balance the company needs of long-term data retention, ease of data use, low latency of access to new data, reliability of data analysis, and cost awareness Basic Success Criteria Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related field 5+ years of experience with test & evaluation and/or statistical analysis data pipelines 3+ years experience in Python, Go (Golang), and Linux-based development environments and scripting development environments Professional experience with developing timeseries, relational, and NoSQL databases technologies Professional experience with version control, CI/CD, and software testing frameworks Preferred Success Criteria Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker Professional experience with product ownership and roadmapping Demonstrated ability to work in a self-directed manner in a fast-paced environment Strong presentation, synthesis, and storytelling skills Employees working at our Mountain View, CA headquarters can expect little to no travel. The estimated salary range for this position is $185,000 to $230,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co

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; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role WEX is building a modern, enterprise-wide Data-as-a-Service (DaaS) platform-and at its heart lies the Semantic Data Modeling layer. This layer transforms raw data into trusted, consistent, and reusable 360° data objects that power analytics, automation, and product experiences across domains. As a Senior Staff Software Engineer, you will lead the design and engineering of large-scale semantic data models that represent key business entities like Customer 360, Fleet 360, and Benefits 360. You'll architect systems that enforce data standardization, business logic, and semantic alignment-delivering high-performance, versioned, and auditable data assets to stakeholders across the enterprise. This is more than data modeling-this is about building the shared language of the business. You'll help define and scale the core data objects that every team at WEX will rely on. If you're motivated by systems-level thinking, technical rigor, and semantic clarity, this is your role. This is a high-impact, cross-cutting engineering role that demands deep system thinking, platform mindset, and an ability to influence technical direction at scale. How you'll make an impact Architect and implement the platform foundations for semantic data modeling, including reusable modeling patterns, data versioning, and temporal semantics. Translate complex business definitions into scalable, interpretable, and trustworthy data entities used across analytics, AI/ML, APIs, and operational workflows. Own the modeling of high-volume, high-complexity domains-such as customers, fleets, transactions, and providers-at enterprise scale. Drive rigorous enforcement of data validation, referential integrity, and schema evolution, enabling semantic consistency across domains. Collaborate closely with business, product, and analytics teams to ensure semantic models reflect how WEX understands and uses its data. Define best practices for building modular, testable, and maintainable pipelines, and lead their implementation across a growing team. Guide platform evolution by partnering with Control Plane, Governance, and DataOps teams to embed observability, lineage, and traceability. Experience you'll bring 10+ years of experience in software or data engineering, with a focus on large-scale systems and data modeling platforms. Expertise in data architecture and semantic modeling-with proven experience in designing entity-centric, reusable models (e.g., Customer 360, Provider 360). Deep understanding of data structures, transformation patterns, temporal modeling, and business logic abstraction. Strong software engineering background with experience in building scalable systems using modern architectural patterns. Experience with data lifecycle management, including versioning, auditability, and reproducibility of derived data objects. Excellent communication skills and a track record of cross-functional leadership across engineering, product, and business stakeholders. A passion for building platforms that promote trust, consistency, and scalability in enterprise data usage. 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: $158,000.00 - $210,000.00

Application Deadline: 10/23/2025 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations. Broader work or accountabilities may be assigned as needed. Qualifications: Foundational level of proficiency: Deep learning. Machine learning. Trust, bias and ethics. Creative thinking. Critical thinking. Intermediate level of proficiency: Mathematics, statistics & operations research. Big data. Data visualization. Computational thinking and programming. Data wrangling. Data preprocessing. Complex problem solving. Analytical acumen. Creative reasoning. Verbal & written communication skills. Collaboration & team skills. Analytical and problem solving skills. Influence skills. Data driven decision making. Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. Technical proficiency gained through education and/or business experience. Salary: $69,000.00 - $127,800.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at http://jobs.bmo.com/us/en BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.