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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

Summary: MUSO Enterprise Risk is looking for a detail-oriented and motivated Assistant Vice President (AVP) to join the Historical Market Data (HMD) team. This role reports into the Head of Risk Appetite and Capital Analysis and focuses on managing the historical market data used in calculating Value at Risk (VaR), Stressed VaR (SVaR), and other key risk metrics. The ideal candidate will have a strong interest in financial markets, statistics, and data management, and be eager to learn and grow within a collaborative team environment. Key Responsibilities: Lead front-to-back implementations of onboarding new time series data, including spot, curve, and volatility surface time series. Identify and propose solutions to data/IT issues and follow through to ensure proper implementation. Collaborate with senior team members and Risk Analytics to develop new proxy and backfill approaches. Contribute towards the development of enhanced tooling for time series data management, working closely with IT and Risk Analytics teams. Help prepare reports on data quality, proxy usage, and backfilling updates. Contribute to impact analyses related to changes in time series data and proxy improvements. Learn from and support senior team members in day-to-day tasks and projects. Requirements: Master's degree in a quantitative field (e.g. Statistics, Financial Engineering, Mathematics, Economics, Data Science). 2-5 years of experience in financial services or data analysis. Ability to propose effective solutions to technical and data-related problems, and drive implementation to completion. Manage time series onboarding projects end-to-end, from understanding requirements to implementation and delivery. Ability to understand complex data/process flows. Proficiency in Python, SQL, Excel. Good communication skills and ability to work in a team-oriented environment. The expected base salary ranges from $95,000 - $140,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus. #LI-Hybrid Other requirements Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process. Company Overview Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit www.mizuhoamericas.com. Mizuho Americas offers a competitive total rewards package. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law. #LI-MIZUHO

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. Pay Range: $100,800.00 - $165,600.00 The Manager, Master Data Management (MDM) is responsible for leading the strategy, implementation, and ongoing governance of enterprise-wide master data initiatives and systems. This role ensures the accuracy, consistency, and integrity of key data domains (e.g., customer, product, vendor, employee) across systems and business units. The MDM Manager will collaborate with cross-functional teams to define data standards, drive adoption, and deliver measurable business value through improved data quality and governance. Key Responsibilities Develop and execute the enterprise MDM strategy aligned with business goals. Oversee the integration of master data across various enterprise systems, platforms, and data pipelines to ensure consistency and a single source of truth. Secures resources and provides direction to the project team. Act as a liaison between IT and business stakeholders to understand data requirements, provide a comprehensive view of data, and ensure MDM solutions meet business needs. Executes the project plan and tracks activities at the micro level. Lead cross-functional MDM initiatives, including planning, budgeting, and resource allocation. Define and manage program KPIs, success metrics, and reporting. Establish and enforce data governance policies, standards, and procedures. Partner with data stewards and business owners to ensure accountability for data quality. Facilitate data domain councils and governance forums. Oversee the selection, implementation, and maintenance of MDM tools and platforms. Collaborate with IT and data architecture teams to integrate MDM solutions with enterprise systems. Manage vendor relationships and ensure solution scalability and performance. Drive organizational change through training, communication, and stakeholder engagement. Promote data literacy and the value of master data across the organization. Act as a liaison between business and technical teams to ensure alignment. Qualifications Bachelor's degree in Information Systems, Computer Science, Business, or related field (Master's preferred). 7-10+ years of experience in data management, data governance, or enterprise data programs. 3-5+ years of experience managing MDM initiatives or programs. Strong understanding of MDM data architecture (possibly using CDM from Microsoft D365), data integration methods (ETL, API), enterprise MDM platforms, and data quality tools Experience with MDM platforms (e.g., Informatica, Reltio, New Data Lake tools etc.). Excellent project management, communication, and stakeholder engagement skills. Proven ability to lead cross-functional teams and drive enterprise-wide initiatives. Preferred Skills Experience in a regulated industry (e.g., healthcare, finance, manufacturing). Familiarity with data privacy regulations (e.g., GDPR, CCPA). Certification in data management or governance (e.g., CDMP, DGSP). Why Join Bio-Techne: We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield. We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA. We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more. We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging. We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave. We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table. Bio-Techne is an E-Verify Employer in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

Your work will change lives. Including your own. The Impact You'll Make Recursion is seeking a Lead, Clinical Data Manager who can lead and oversee end to end Clinical Data Management activities on assigned studies and programs. You'll also play a critical role in the management of all the 3rd party data sources and serve as SME for Data Management. You'll also be proactive and be keen to collaborate on clinical development initiatives with cross functional groups within the larger Data Science teams at Recursion Daily, you will be responsible for all the CDM study activities and deliverables, document reviews, oversight of CRO's, timelines and project risk management. You can expect to work on multiple projects at the same time in a fast-paced and exciting environment. In this role, you will: Lead End to End Data Management activities with hands on ability to manage outsourced studies and lead DM and external vendor oversight activities and deliverables.Proficiency in project management leading 2-3 outsourced programs, simultaneously. Represent Data Management function in Clinical Study Meetings, ensuring proactive alignment of expectations between the CRO and Recursion regarding all data-related deliverables. Works with CRO and Recursion functional groups to complete EDC set up, database migrations /UAT and other systems such as IRT, ePRO etc. Manage multiple vendor sFTPs for data retrieval and delivery to stat programming, routinely. Establish Vendor Oversight Plans for all studies and responsible for Vendor Data Quality Reviews and Oversight. Aim to harmonize processes where relevant with other Recursion clinical programs. Serve as a SME for various operational activities and DM processes like EDC, External data standardization, Collection, and Processing. Lead the efforts with Biometrics and Clin Dev organizations for creation and standardization of CRF's Data Review Plans etc. Routinely provide study metrics, planning of deliverables, and propose solutions for data handling/related issues. Leads/Oversee the creation and maintenance of Data Management documents including, but not limited to, CDMP, CCG's, Data Review Plans, edit checks, Listing review checks, Data Integrations specs, Data Transfer Specs, External Data Reconciliation plans, SAE Reconciliation Guidelines, Coding Guidelines, Database Lock, Checklists and Plans. Accountable for coordination with other functional groups for submission related activities. Manage strategic input into the design of data flow across EDC and non-EDC data sources across vendor networks. Ensure Filing, archival and inspection readiness of all Data Management Trial Master File (TMF) activities. The Team You'll Join Reporting to the Senior Director, Clinical Data Management and working closely with Biometrics, Clinical Operations and Clinical development Organization, you will be an essential member of the Recursion Development Team. The Development Team is an empowered, execution-minded group of drug development professionals responsible for translating Recursion's innovative science to patients through clinical development activities. The Experience You'll Need Bachelor's degree in science, math or computer science 8 - 12+ years' experience in the biopharmaceutical industry. Experience, technical proficiency and People management skills will determine the level. Experience managing external data and 3rd party vendors is a must. Strong knowledge of regulations and guidelines that apply to the conduct of clinical trials Excellent written and verbal communication skills and ability to work collaboratively as a part of a team Working Location & Compensation: This position can be based at any of our offices in Salt Lake City or New York City. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. Relocation support can be provided for this role. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is: $136,200 - $197,400 USD for candidates based in the United States You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DB1 The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. KEY RESPONSIBILITIES Assists with implementation of the global health and safety indicators for the construction organization Supports, enables and ensures proper use of identified software system for the Health and Safety team to ensure timely and accurate information collection for projects across the globe Develops, implements and maintain data collection media for critical Environmental, Health and Safety indicators Collects and analyzes large datasets from various sources. Maintains database and data systems. Identify, analyze, and interpret trends or patterns in complex data sets related to health, safety and lessons learned across the organization. Generates reports and dashboards to visualize data insights. Collaborates with cross-functional teams to understand their data needs and assists with solutions. Ensures data integrity and accuracy by performing regular data audits. Uses statistical tools to identify, analyze, and interpret patterns and trends in data sets. Provides ongoing reports and analysis to support business decisions. Coordinates, maintains team responsible for collecting and evaluating data to include scheduling meetings, appointments and maintaining documentation of the same. Prepare and edit documents, reports, and presentations. Assist in the preparation of regularly scheduled reports. KNOWLEDGE & ATTRIBUTES Proven experience as data analyst, administrative tactician or similar experience with health and safety data collection and evaluation. Basic level knowledge of OSHA regulations or similar regulatory standards required to ensure data integrity assurance. Candidate must be capable of communication (English), and facilitation of meetings, with multiple diverse partners across the globe ACADEMIC QUALIFICATIONS & CERTIFICATIONS Associate Degree or Advanced education in a business administration field that supports data analysis and collection methodologies High school diploma or equivalent education #LI-GlobalDataCentres #LI-AR3 REQUIRED EXPERIENCE Extensive experience with data collection in Microsoft Office formats to include excel, SQL and other data collection media. Demonstrated ability to coordinate cross country, cross discipline teams towards a common goal as a team member Experience with predictive modeling is preferred in the field of safety but not required PHYSICAL REQUIREMENTS Sitting: The role primarily involves working at a desk, so the candidate should be able to sit for extended periods. Manual Dexterity: The candidate should have good hand-eye coordination and the ability to use a computer keyboard and mouse efficiently. Visual Acuity: The role requires the ability to read and analyze data on a computer screen, so good vision (with or without corrective lenses) is necessary. Communication: The candidate should be able to communicate clearly and effectively, both verbally and in writing, which may involve talking on the phone and interacting with colleagues and clients across the globe. Mobility: While the role is mostly sedentary, the candidate may need to move around the office to perform various tasks, such as retrieving documents, attending meetings, or assisting with office operations. WORK CONDITIONS & OTHER REQUIREMENTS This role requires the ability to work at home and / or periodically at a construction jobsite within an office Occasional travel may be required to ensure data integrity and train personnel on collection. Perform work from a remote location with stable internet connection. This is a remote position that requires reliable internet connection and electricity. A monthly stipend is provided to cover expenses associated with working remotely and use of a personal mobile device, if applicable. NTT Global Data Centers Americas, Inc. offers competitive compensation based on experience, education, and location. Base salary for this position is $83,700 - $106,100. All regular full-time employees are eligible for an annual bonus; payout is dependent upon individual and company performance. Employees receive paid time-off, medical, dental, and vision benefits, life and supplemental insurance, short-term and long-term disability, flexible spending account, and 401k retirement plan to create a rich Total Rewards package. Workplace type: Remote Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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

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

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

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

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

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

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

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

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

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

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