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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

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate 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 Associate, 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: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. 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: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing 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; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. 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: $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

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: At LPL Financial we consider it our mission to take care of our advisors so they can take care of their clients. Joining as Senior Data & Business Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors. Responsibilities: Develop technical and business requirements utilizing advanced problem-solving methodologies, encompassing both diagnostic and prognostic approaches. Collect, document, and evaluate business requirements pertaining to data and analytics. Engage with stakeholders to establish key performance indicators (KPIs), reporting necessities, and data-driven solutions. Convert business challenges into analytical frameworks and data solutions by acting as a bridge between Business and Technical teams. Draft Jira stories and obtain approval for the requirements. Construct complex SQL queries to analyze data and correlate it with business requirements. Gather, cleanse, and examine extensive datasets to identify trends, patterns, and business insights. Evaluate changes in upstream applications and implement necessary modifications in the data warehouse. Assess downstream effects and respond promptly. Investigate the impacts of changes in data granularity within source systems. Ensure the accuracy and integrity of data through thorough validation processes throughout the SDLC process. Collaborate with technical leads to develop technical Jira stories and necessary documentation. Guide the scrum team and stakeholders during story refinement sessions, ensuring that requirements align with LPL standards. Perform query and reporting analyses, communicating findings to stakeholders and the development team. Document mappings from data sources to targets and conduct root cause analyses on production issues. Collaborate with the project team to translate business requirements into actionable solutions. Work closely with the Product Owner to prioritize tasks and outline the product roadmap. Foster and maintain cross-functional relationships with business partners, the product management office, and technical collaborators. Regularly prepare and present status reports to all stakeholders and leadership. What are we looking for? We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement. Requirements: 5+ years of technical experience writing complex SQL queries and/or database development 5+ years of experience working as a business and data analyst in a mid-sized to large organization. 2+ years working on a scrum team and following agile methodology. Experience in crafting epic stories and tasks within JIRA. Core Competencies: Detail-oriented and critical thinker. Ability to engage in multiple initiatives simultaneously while demonstrating time management and organization. Comfortable working independently, adapting to shifting priorities, demands, and timelines in a fast-paced environment and demonstrating leadership skills. Keen attention to detail and complex problem-solving abilities from operational and technical perspectives Expert written and oral communication skills, strong interpersonal skills, and the ability to interact professionally with diverse groups, executives, managers, and subject matter experts. Experience with Data Warehousing a plus Preferences: Experience with AWS and DBT. Financial Services experience Snowflake experience #LI-Hybrid Pay Range: $83,400-$139,000/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) was founded on the principle that the firm should work for advisors and institutions, and not the other way around. Today, LPL is a leader in the markets we serve, serving more than 23,000 financial advisors, including advisors at approximately 1,000 institutions and at approximately 580 registered investment advisor ("RIA") firms nationwide. We are steadfast in our commitment to the advisor-mediated model and the belief that Americans deserve access to personalized guidance from a financial professional. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC1.22.25

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.

SUMMARY/JOB PURPOSE: Provide oversight for the execution of data management activities at the program level (for an indication or for multiple studies within an indication) from study start up through to regulatory submission. In collaboration with cross-functional teams, external partners, and support Data Managers, may serve as the lead study data manager for a large, complex trial or multiple, smaller studies. Will support CDM process improvement initiatives. Participate in staff recruitment, onboarding, training, and mentoring. ESSENTIAL DUTIES AND RESPONSIBILITIES: As the main point of contact to Study Team, work collaboratively with cross-functional team members to meet project deliverables with quality and per agreed timelines Lead the planning and execution of data management activities on assigned studies Ensure all Data Management study documents are developed and archived Establish and lead the Data Working Group (DWG) for assigned study Develop and maintain Data Management timelines Track and manage progress towards data deliverables through effective metrics tracking, analysis, and reporting Effectively identify and mitigate risks to Data Management deliverables Identify and resolve data handling related issues Provide a high level of expertise in data management to support clinical studies. Provide clear verbal or written information and hands-on support to project team members and to CROs related to eCRF and database design, data quality, and reporting of database / data quality status. Develop and execute procedures for data quality review and data acceptance prior to data analyses and/or database lock. Manage data transfers with CROs and third-party data sources, SAE/AE reconciliation and MedDRA /WHO-DD coding. Support the transfer, locking, and archiving of study databases. Manage scheduling and time constraints across multiple projects. Prepare recommendations for new or improved processes for data management and data flow. Work collaboratively with cross-functional stakeholders to ensure project deliverables and timelines are met. Direct and oversees activities of Data Management staff assigned to studies and tasks within projects Perform project level resource management in conjunction with CDM Management Lead electronic submission activities for Data Management as appropriate. Participate in selecting outsourcing partners for assigned studies including: Input to Request for Proposal (RFP) Review proposals Participate in evaluation/audits and capabilities presentations Review project scope of work documentation Provide oversight of vendors providing Data Management services Develop and execute study specific training of staff within a project Lead or participate in CDM process improvement initiatives Promote and be an advocate for CDM internally and externally. Direct the activities and hold accountable junior data managers and/or data review teams SUPERVISORY RESPONSIBILITIES: No direct reports EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education/Experience: BS/BA degree in related discipline and a minimum of 11 years of related experience; or, MS/MA degree in related discipline and a minimum of 9 years of related experience; or, PhD in related discipline and a minimum of 5 years of related experience; or, Equivalent combination of education and experience. May require certification in assigned area. Experience/The Ideal for Successful Entry into Job: Typically requires a minimum of 9 years of related experience and/or combination of experience and education/training. A minimum of 7 years of clinical data management experience is also required in the pharmaceutical industry or clinical trials. A minimum of 4 years in a project leadership role Experience with Electronic Data Capture (EDC) is required and experience with Interactive Voice or Web Response Systems (IVRS/IWRS) is preferred. Demonstrated experience leading data management teams is preferred Knowledge/Skills: The ability to problem solve and have people/project leadership skills. Knowledge of GCP is essential. General knowledge of FDA regulations that govern the execution of clinical trials and Electronic Data Capture (EDc) systems required Expertise in CDASH/CDISC standards preferred. Has extensive experience in relevant industry/profession and area of specialization. Uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Identifies and implements methods and procedures to achieve results. Leads or manages the work of others by providing guidance to subordinates or teams based on organizational goals and company policy, with responsibility for results, including costs, methods, and staffing. Performs a variety of complicated tasks with a wide degree of creativity and latitude. Has complete understanding and wide application of technical principles, theories, concepts, and techniques. Has good general knowledge of other related disciplines. Applies strong analytical and business communication skills. Demonstrated Data Management Project Management skills Excellent verbal and written communication skills and interpersonal skills are required. JOB COMPLEXITY: Utilizes appropriate CDM concepts and resources to solve moderately complex technical CDM issues Works independently and consults with management on decisions affecting project delivery as appropriate Drives the completion of milestones associated with specific projects. Failure to achieve results or erroneous decisions or recommendations will cause delays in program schedules and may result in the allocation of additional resources. Regular inter-organizational and outside contacts on routine matters. Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. May also work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise #LI-JP1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $160,000 - $226,500 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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

DSV - Global transport and logistics In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world. Our reach is global yet our presence is local and close to our customers. Read more at www.dsv.com Location: USA - McCarran, Reno 3300 Waltham Way Suite 106 Division: Solutions Job Posting Title: Data Center Supervisor Time Type: Full Time . DSV is an equal employment opportunity employer. Candidates are considered for employment without regard to race, creed, color, national origin, age, sex, religion, ancestry, disability, veteran status, marital status, gender identity, sexual orientation, national origin, or any other characteristic protected by applicable federal, state or local law. If you require special assistance or accommodation while seeking employment with DSV, please contact Human Resources at hr@us.dsv.com. If you are interested in learning the status of your application, please note you will be contacted directly by the appropriate human resources contact person if you are selected for further consideration. DSV reserves the right to defer or close a vacancy at any time. DSV - Global transport and logistics Working at DSV means playing in a different league. As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let's grow together as we continue to innovate, digitalise and build on our achievements. With close to 160,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers' needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you. At DSV, performance is in our DNA. We don't just work - we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusivity, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company - this is the place to be. Start here. Go anywhere Visit dsv.com and follow us on LinkedIn and Facebook. open/close Print Share on Twitter Share on LinkedIn Send by email

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

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

Argonne National Laboratory's High Energy Physics (HEP) Division invites applications for an Assistant Computational Scientist to advance software and computing for the Deep Underground Neutrino Experiment (DUNE). The HEP Division conducts research across the Energy, Intensity, Cosmic, and Theory Frontiers, with additional strengths in Detector Development and Advanced Accelerator R&D. The Intensity Frontier group holds recognized roles within the international DUNE collaboration and is deeply engaged in high-performance computing, working closely with Argonne's Leadership Computing Facility (ALCF). The successful candidate will contribute to the research and development of core data-processing frameworks for high energy physics experiments, with a primary focus on input/output (I/O) software and event data storage for DUNE. The role offers opportunities to collaborate broadly with HEP scientists within DUNE and to engage in other aspects of DUNE Software and Computing R&D, including high-performance computing, accelerator integration, and support for AI/ML workflows. Key responsibilities Design, develop, and optimize I/O software and event data storage solutions for DUNE Contribute to core processing frameworks used across HEP experiments Collaborate with DUNE software and computing teams at Argonne and across the international collaboration Engage with high-performance computing resources and workflows, including work aligned with ALCF Support accelerator integration and AI/ML workflow enablement as project needs evolve Position Requirements The successful candidate should have a Ph.D. in High Energy Physics, Computer Science or a closely related field Programming expertise, ideally in C/C++ and/or Python Comprehensive knowledge of input/output systems and data persistence Deep understanding of data models and prior experience with ROOT software Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent The expected hiring range for this position is $90,063 to $143,010 annually Job Family Research Development (RD) Job Profile Computational Science 2 Worker Type Regular Time Type Full time The expected hiring range for this position is $90,063.00 - $143,010.27. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story ' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. Primary Responsibilities In the role of Mid-Atlantic Data Center/Mission Critical Technical Team Lead, we'll count on you to build and lead a team of technical experts in data center design, support project delivery, and assist with marketing activities and pursuits with key clients in the Technology, Media, and Telecommunications (TMT) market sector. This role will help drive the success of our practice with leadership in the following areas: Technical Team Building and Leadership Attract and recruit engineering staff to serve as subject matter experts (SMEs) within our core and specialty disciplines for data center design projects. Assign work and monitor workload among the team SMEs. Coordinate staffing and workload with other data center design teams. Provide mentoring and opportunities for team growth and development. Project Management and Project Production Plan, direct, and monitor all aspects of large multi-discipline projects or medium-sized projects with a high degree of technical complexity. Oversee project delivery and effective implementation of the QA/QC program. Facilitate effective collaboration within project teams and eliminate hurdles and barriers to success. Support complex engineering projects in market sectors beyond TMT as called upon. Area Leadership Collaborate with local discipline leads on project staffing, project technical support, and project pursuits. Work with area business group leadership to implement process improvements, facilitate work sharing and assist in applying key staff/expertise to projects. Marketing and Client Relations Assist with proposal, fee preparation, and staffing for project pursuits. Assist the TMT leadership team with assessing and developing opportunities in the area and national marketplace as directed by market sector leadership. Perform other tasks to support the TMT market sector in the area as called upon by area and market sector leadership. Preferred Requirements Bachelor's degree 10-15 years of experiencing designing, delivering, and managing large, complex data center/mission critical projects. A licensed professional engineer with a background in mechanical, electrical, or structural design, or a project manager with PMP certification. Local to the Northern Virginia area. Active in industry and business associations / organizations. Excellent written and verbal communication skills #LI-BM1 Required Qualifications Bachelor's degree or equivalent experience A minimum of 7 years experience Professional registration, license or certification may be required based on role Strong communication and listening skills Ability to handle multiple assignments Good leadership and organizational skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

At AI Foundations, our mission is to unlock cutting edge player experiences through the power of ML and AI technologies. Within this space, the AI Foundry team partners with teams across Riot to accelerate the development and deployment of new machine learning & AI systems. We dive into diverse, high impact projects across Riot, and help take them from ideas to fully fledged features. As a Principal Data Scientist specializing in applied machine learning, you will lead the modeling strategy for our most ambitious applications of Game Understanding Agents in a deeply technical role. You'll elevate the technical standards in reinforcement learning, imitation learning, and simulation-based training for game AI by mentoring engineers on the ML Bots team. Your contributions to Riot's shared game AI frameworks will accelerate development across multiple games and you'll build strong cross-disciplinary partnerships to achieve these goals. You and your team will develop and deploy in-game Game AI capabilities that significantly enhance the player and developer experience, creating reusable training and evaluation pipelines for Game Understanding Agents that support multiple game genres and adapt to each title's unique constraints. You will support the team in combining modern ML with deep game domain knowledge to create autonomous agents that can play, understand, and adapt like real players. Responsibilities: Lead the modeling strategy for ML Bots across multiple games, focusing on training agents that can understand game state, make decisions, and act in ways that create compelling player experiences. Develop predictive features and signals from gameplay telemetry, unstructured game data, and simulation outputs, ensuring quality, interpretability, and reliability. Design and implement ML systems using methods including reinforcement learning and imitation learning (e.g., behavior cloning, inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components. Define evaluation frameworks for game AI that balance generalizable approaches with genre-specific metrics, adapting methods for the needs of each title. Ensure the safety, fairness, and trustworthiness of autonomous agents operating in live player environments. Mentor senior and staff-level ML engineers in advanced ML for game AI and architectural decision-making. Collaborate with game and platform engineers, along with UX teams, to integrate models into production systems in ways that enhance player experience and maintain operational reliability. Represent the ML Bots team in multi-game forums and contribute to shared frameworks for autonomous agent development. Required Qualifications: Extensive experience (8+ years) delivering ML systems in production, including reinforcement learning, imitation learning, or simulation-based training in rich, interactive environments such as game worlds or multi-agent simulations. Proven ability to design modeling strategies and architectures adopted across multiple games or interactive products. Expertise in developing predictive features and signals from gameplay telemetry, simulation data, or other complex interactive environments. Strong track record building and optimizing agent-based systems or world models for dynamic, player-facing environments. Hands-on experience with relevant ML methods including reinforcement learning and imitation learning (such as behavior cloning and inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components. Mastery of experiment design, model evaluation, and optimization for autonomous agents. Track record of incorporating human considerations into AI applications, such as responsible AI practices and human-computer interaction or UX best practices. Experience mentoring engineers and collaborating with cross-disciplinary teams. Familiarity with integrating ML-driven agents into live game environments with game and platform engineers. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you're working directly on a new player-facing experience or you're supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we're better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we're looking forward to your application. It's our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Please use Google Chrome or Mozilla Firefox when accessing Candidate Home. By joining the American Red Cross you will touch millions of lives every year and experience the greatness of the human spirit at its best. Are you ready to be part of the world's largest humanitarian network? Join us-Where your Career is a Force for Good! Job Description: Why Choose Us? Joining The American Red Cross is like nothing else - it's as much something you feel as something you do. You become a vital part of the world's largest humanitarian network. Joining a team of welcoming individuals who are exceptional, yet unassuming. Diverse, yet uncompromising in unity. You grow your career within a movement that matters, where success is measured in people helped, communities made whole, and individuals equipped to never stop changing lives and situations for the better. When you choose to be a force for good, you'll have mentors who empower your growth along a purposeful career path. You align your life's work with an ongoing mission that's bigger than all of us. As you care for others, you're cared for with competitive compensation and benefits. You join a community that respects who you are away from work as much as what you do while at work. WHAT YOU NEED TO KNOW ABOUT THE JOB: The Enterprise Data & Analytics Team is building out a team of well-rounded, full-stack Data Engineers to support mission-transforming work through data at the American Red Cross. As a result, we are hiring for a Lead Data Engineer for one our highly dynamic product teams to help do this exciting work! As a Lead Data Engineer for the American Red Cross, you will be part of our Enterprise Data Analytics team that is modernizing and transforming our data and reporting capabilities across multiple verticals by implementing a new modernized data architecture and technical stack. The Lead Data Engineer will help develop, test, maintain and support an enterprise data warehouse system and corresponding data and will be responsible for database design and implementation of agreed upon standards. This position requires an innovative engineer who is passionate about data, data quality & automation. The ideal candidate will possess strong data warehousing experience and the ability to develop and deploy scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient. The work location is 100% virtual from a home office with occasional in-person meetings as necessary. Preference for candidate to work an East coast schedule for coordination with off-shore resources. This position also requires the ability to work a rotational weekend support schedule once every 8 weeks. WHERE YOUR CAREER IS A FORCE FOR GOOD (Key Responsibilities): Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Build and implement scalable solutions that align to our data governance standards and architectural roadmap for data integrations, data storage, reporting, and analytic solutions. Design, develop and test data integration solutions. Write, automate and document unit/integration/functional tests. Manage automated deployments using Git pipelines, ensuring code changes are efficiently version-controlled and deployed. Collaborate with multiple teams to streamline deployment workflows, monitor and troubleshoot pipelines for reliability and performance. Perform data analysis required to troubleshoot data-related issues by building a data quality framework and assist in the resolution of data issues. Serve as tech lead by mentoring less experienced members of the team through code reviews, pair programming and similar hands-on interactions. Scope: Individual contributor that works under limited supervision. Apply subject matter knowledge. Capacity to understand specific needs or requirements to apply skills/knowledge. Qualified candidates must be authorized to work in the United States. The American Red Cross does not sponsor employment visas. WHAT YOU NEED TO SUCCEED (required/minimum qualifications): Education*: 4-year college degree or equivalent combination of education and experience. Prefer academic backgrounds in Computer Science, Engineering, Mathematics, or related technical field. 10 years of relevant work experience in data engineering, business intelligence or related field. Experience with a variety of database technologies and data warehouse schema design patterns (snowflake and star in particular). Experience with cloud-based databases, specifically AWS technologies (e.g., Redshift (preferred), RDS, S3, EC2, EKS, Zero ETL) Advanced experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets. Proficient in object-oriented programming (Coding experience in Python is a required). Experience with DBT is preferred. Experience creating ETL and/or ELT jobs. Experience with Agile software development methodologies. Excellent problem solving and troubleshooting skills. Process oriented with great documentation skills. Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.). Experience developing integrations across multiple systems and APIs is a plus. Combination of candidate's education and general experience satisfies requirements so long as the total years equate to description's minimum education and general experience years combined (Management experience cannot be substituted). +++++++++++++++++++++++++++++ PAY INFORMATION: The annual salary range for this position is $140K - $150K. We do not offer an annual bonus for this role. Note that American Red Cross salaries are aligned to the specific geographic location in which the work is primarily performed. Other factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. We will review specific salary information at the time of phone screening based upon your location & experience. This job will be posted for a minimum of five business days and extended if the applicant pool needs to be expanded BENEFITS FOR YOU: As a mission-based organization, we believe our team needs great support to do great work. Our comprehensive package includes: Medical, Dental Vision plans Health Spending Accounts & Flexible Spending Accounts PTO: Starting at 19 days a year; based on type of job and tenure Holidays: 11 paid holidays comprised of six core holidays and five floating holidays 401K with up to 6% match Paid Family Leave Employee Assistance Disability and Insurance: Short + Long Term Service Awards and recognition LI-EH1 IND123 Apply now! Joining our team will provide you with the opportunity to make your career a force for good! The American Red Cross is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, San Diego Fair Chance Ordinance, the California Fair Chance Act and any other applicable state and local laws. AmeriCorps, the federal agency that brings people together through service, and its partners - the Peace Corps, AmeriCorps Alums, National Peace Corps Association, and the Service Year Alliance - launched Employers of National Service to connect national service alumni with opportunities in the workforce. American Red Cross is proud to be an EONS partner and share our employment opportunities with the network of organizations. Interested in Volunteering? Visit redcross.org/volunteertoday to learn more, including our most-needed volunteer positions. To view the EEOC Summary of Rights, click here: Summary of Rights