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We Impact Lives Through Purpose-Driven Work in A People First Culture Ascend Learning is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data driven solutions across the lifecycle of learning. Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more. For over 35 years, National Academy of Sports Medicine (NASM) has set the standard in fitness education with best-in-class evidence-based programs. We have educated over 1.4 million fitness professionals in over 100 countries, creating a global space for optimal well-being and fitness. From personal training to nutrition coaching, wellness to sports performance, NASM trainers and specialists work at every level to help all clients set and reach their own unique goals. WHAT YOU'LL DO We are seeking a strategic and hands-on Senior Manager of IT - Data Warehousing & Analytics to lead the design, development, and operation of our enterprise data platform. This role will be responsible for overseeing the implementation of a modern data warehouse using Snowflake and medallion architecture principles, with Tableau as the primary front-end reporting tool. The position is critical in establishing a scalable, governed data foundation to support business intelligence today-and enable advanced analytics and AI initiatives in the future. WHERE YOU'LL WORK This position will work a hybrid schedule from our Gilbert, AZ location HOW YOU'LL SPEND YOUR TIME Lead the architecture, design, and development of the enterprise data warehouse platform on Snowflake using medallion architecture (Bronze/Silver/Gold layers). Oversee data ingestion, transformation, and modeling pipelines to ensure data accuracy, scalability, and performance across the business. Manage a team of data engineers, BI developers, and analysts responsible for data integration, quality, governance, and reporting. Build and optimize Tableau dashboards and reporting solutions to deliver actionable insights to business stakeholders. Define and enforce data governance, security, and quality standards across data platforms. Collaborate with business units, product owners, and executive leadership to define key metrics and support data-driven decision-making. Lay the technical and architectural groundwork for AI/ML readiness, including data cataloging, feature engineering pipelines, and integration points with AI platforms. Drive the roadmap for the data platform, balancing short-term delivery needs with long-term innovation and scalability. Manage vendor relationships, contracts, and technical partnerships to support the data stack. WHAT YOU'LL NEED Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field. 8+ years of experience in data engineering, data warehousing, or analytics, including 3+ years in a leadership or managerial role. Proven experience with Snowflake and cloud-based data warehouse architecture (AWS, Azure, or GCP). Deep understanding of medallion architecture and its application in scalable data solutions. Strong experience with Tableau or similar BI tools (Power BI, Looker). Knowledge of ETL/ELT processes, data pipelines (e.g., dbt, Airflow, Fivetran), and modern data engineering best practices. Experience establishing data governance, lineage, and cataloging frameworks (e.g., Alation, Collibra, Unity Catalog). Familiarity with AI/ML platforms and the data requirements for operationalizing advanced analytics. Strong leadership, project management, and communication skills. Experience in highly regulated or enterprise-scale environments. Knowledge of data privacy, compliance, and ethical considerations in data & AI. Certification in Snowflake, Tableau, or cloud data platforms is a plus. BENEFITS Flexible and generous paid time off Competitive medical, dental, vision and life insurance 401(k) employer matching program Parental leave Wellness resources Charitable matching program Hybrid work On-site workout facilities (Leawood, Gilbert, Burlington) Community outreach groups Tuition reimbursement Fostering A Sense of Belonging We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued and be their authentic selves. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging. About Ascend Learning As a tech-enabled services company, Ascend Learning is a national leader in developing and delivering data-driven online educational content, software, assessments, analytics, and simulations serving institutions, students and employers across healthcare, fitness and wellness, public and workplace safety, skilled trades, insurance, financial services, cybersecurity, and higher education. We're committed to accelerating the learning pathways that can move people into careers where they have the knowledge and skills to have an impact and help change lives in the communities they serve. Headquartered in Burlington, MA with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2023 Greatest Workplaces for Diversity. Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S. based positions with Ascend Learning, LLC must be legally authorized to work in the United States and verification of employment eligibility will be required at the time of hire. #LI-JJ1

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

DigiKey is one of the fastest growing distributors of electronic components in the world. In addition to offering the broadest selection of in-stock electronic components and providing the best service possible to customers, employees have access to a highly competitive benefits package. To learn more, visit our benefits and perks page. __ Position Overview: The Technical Lead, Data Architect is a lead role responsible for designing, implementing, and maintaining robust, scalable, and secure database solutions that support the organization's data-driven initiatives. This individual will work closely with cross-functional teams-including software engineering, data science, DevOps, and business stakeholders-to ensure data architecture aligns with business goals and technology standards. This role is based in Thief River Falls, MN or Bloomington, MN Onsite role requirement - Hybrid - follow the company policy of in office Monday and Wednesday Responsibilities: Design, implement and test database architecture designs to accommodate the multimodal data types used in existing systems and/or technology evaluations Design and develop efficient techniques for fast, optimized data access and transfer of distributed or cloud database systems Provide technical guidance and mentorship to junior database engineers and developers Design, implement and test data structures, data search, query, and retrieval solutions to enable access to and processing of data used in existing systems and/or technology evaluations Research, design, implement and test SQL and NoSQL mechanisms to allow access to data across different scales and complex datasets Design, implement and test frameworks to integrate algorithms and tools to accommodate analytics on multimodal structured and unstructured data sets, as well as APIs for data access, query, and retrieval Design, implement and test tools to support processing of small and massive data sets of structured and unstructured compositions for analytics systems Integrate algorithms and tools to accommodate processing of small or massive data sets of structured and unstructured compositions to support research activities in existing systems and/or technology evaluations Monitor and tune database performance, proactively identifying and resolving bottlenecks Stay current with emerging database technologies and trends to drive innovation and continuous improvement. Ability to collaborate with solution Architects, Data Platform, Data Engineering, and Development teams Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Required Knowledge, Skills, and Experience Bachelor's degree in computer science, Information Systems, or a related field 10+ years of experience in data architecture design and management 10 years of experience and expertise in database and systems architecture design, development, and implementation. 10 years of expertise and experience in data structures, indexing, query, and retrieval. Excellent data management skills including ensuring data integrity, data access, security and archiving procedures; High level of proficiency in procedural, object-oriented, and Domain Driven Architecture Experience with NoSQL, SQL databases (e.g., Oracle, Snowflake, MSSQL, MongoDB) Experience with dimensional modeling, e.g., Kimball Star Schema modeling Outstanding planning & Organizational skills Able to work independently or collaboratively and maintain a positive attitude Master level of analytical skills and attention to detail Excellent communication skills and problem-solving skills. Preferred Qualifications: Master's in science or advanced degree in Computer Science Physical Requirements: Work is primarily performed at a desk and/or in an office environment for 3/4 of the day and up The office noise level in the work environment is typically, moderate Generally, spend the workday sitting at a workstation and operating computer devices, such as, but not limited to keyboard, mouse, and screen Generally, spend the workday performing repetitive motions that involve or affect the hands, head, and other parts of your body Compensation: The base pay range for this position is: $125,000 to $175,000 Many factors influence the determination of base pay within a range, including the candidate's work experience in related roles; the candidate's knowledge, skills, capabilities, and performance; the relative pay of other DigiKey employees in similar roles; and the budget available for the position. __ Must be authorized to work in the U.S. without the need for employment-based immigration sponsorship, now or in the future. The employer does not offer immigration sponsorship for this opportunity. DigiKey Electronics is an Equal Opportunity Employer. We encourage qualified minority, female, veteran and disabled, and other diverse candidates to apply and be considered for open positions. If you are an applicant with a disability and need a reasonable accommodation for any part of the employment process, please contact Human Resources at 1-800-338-4105 or careers.us@digikey.com. Know Your Rights: Workplace Discrimination is Illegal

The Team To develop a dynamic, integrated view of biological systems in health and disease, the Chan Zuckerberg Institute for Advanced Biological Imaging (CZ Imaging Institute) aims to push forward the development and application of new imaging technologies over the next 10 to 15 years. CZ Imaging Institute researchers will collaboratively develop breakthrough biological imaging systems centered around grand challenges that push the boundaries of what we can see and measure to obtain deep insights into the architecture of complex biological systems at the molecular level. As an extension of the Chan Zuckerberg Initiative's Imaging program, the CZ Imaging Institute ( https://czii.org/ ) will create breakthrough technologies - hardware, software, biological probes, data, and platforms - that will be made available to the scientific community and adopted worldwide through a combination of direct access to the Institute, open sharing of advances, and commercial partnerships. The Opportunity To accomplish our mission, we need to develop a dynamic, integrated view of biological systems in health and disease. As an extension of the Chan Zuckerberg Initiative's Imaging Program, the CZ Imaging Institute aims to push forward the development and application of new imaging technologies over the next 15 years to obtain deep insights into the architecture of complex biological systems at the molecular level. The CZ Imaging Institute will create breakthrough technologies - hardware, software, biological probes, data, and platforms - that will be made available to the scientific community and adopted worldwide through a combination of direct access to the institute, open sharing of advances, and commercial partnerships. Researchers will collaboratively develop breakthrough biological imaging systems centered around grand challenges that push the boundaries of what we can see and measure. The Chan Zuckerberg Imaging Institute is seeking an experienced Software Engineer, Data Integration, to work under a technology team leader and collaborate in developing software that supports automation of the workflow for high-end microscopic instruments. Will work closely with researchers, scientists, and engineers developing novel approaches in cryoEM. What You'll Do Perform core development of in-house software that tracks sample preparation, data acquisition, visualization, and analysis workflow across multiple imaging modalities. Develop a user interface to the workflow. Develop curation tools for the deposition of such data into the CryoET Data Portal for community use. Identify and implement steps of the workflow suitable for AI integration. Interact with software and data engineers from other CZ Science efforts in integrating data from different modalities. What You'll Bring Essential - BS or MS in Computer Science or a comparable/relevant degree. 1-5 years of professional software development experience. Strong background in database design and architecture. Proficient in Python and JavaScript, with hands-on experience in front-end frameworks such as React and Next.js Familiarity with requirements for integrating web-based viewers for large scientific or medical images. Well developed analytical observation and software optimization skills. Deep understanding of software engineering principles and design patterns and how to apply them. Excellent problem solving skills. Excellent communication skills. Nice to have - Development and optimization in high-performance computing (HPC) environments. Knowledge of image formats and streaming methods (e.g., TIFF, Zarr pyramids) for efficient web delivery. Experience collaborating cross-functionally with scientists. An interest in science and learning about biological imaging. Experience in open source project. Diverse experience working with both desktop and web applications and understanding how they can interface with each other. Compensation The Redwood City, CA base pay range for a new hire in this role is 153,000.00 - 191,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Onsite

SRS is seeking a Cybersecurity Staff Engineer- Data Protection to lead the design, implementation, and continuous improvement of data protection solutions. This role will focus on encryption standards, certificate lifecycle management, DLP, secure document handling, and program governance. Ideal candidates will bring deep technical expertise across PKI, TLS 1.3, Zscaler DLP, and enterprise data protection frameworks, along with a strong understanding of security architecture, compliance, and operational best practices. Key Responsibilities Lead the design and implementation of enterprise data protection capabilities, including encryption, DLP, and secure data lifecycle management. Drive PKI & Certificate Management, including certificate rollout, and lifecycle automation. Develop and execute the TLS 1.3 roadmap, including assessment, compatibility analysis, dependency mapping, and migration strategy. Partner with legal, accounting, and compliance teams to implement document retention and secure shredding policies. Serve as a trusted SME for data protection across technical teams, business units, and senior leadership. Collaborate with enterprise architects and security engineers to integrate Zscaler DLP and other data protection tools into corporate workflows. Oversee multiple data protection projects concurrently, ensuring alignment with compliance, audit readiness, and business objectives. Provide technical mentorship to engineers and create detailed documentation to support ongoing operations and regulatory requirements. Engage stakeholders and guide decision-making through proactive communication and alignment with strategic objectives. Contribute to the long-term Data Protection program strategy. Required Qualifications 8+ years of experience in Cybersecurity, with at least 5 years focused on Data Protection or Information Security Engineering. Hands-on expertise in PKI, certificate management, TLS/SSL, and encryption technologies. Experience with DLP tools (e.g., Zscaler, Forcepoint, Trellix, Symantec, or equivalent). Knowledge of document retention and secure destruction processes, including policy integration with legal and compliance requirements. Familiarity with IoT remediation and risk reduction strategies. Strong understanding of data protection regulations (HIPAA, PCI, SOX) and enterprise compliance frameworks. Demonstrated ability to lead enterprise security initiatives and engage with cross-functional stakeholders. Excellent communication, analytical, and organizational skills. Comfortable working independently or within a team in a hybrid work environment. Not the right job for you? Register your details at the 'Introduce Yourself' link (top right) and we'll be in touch! Job Location: Irrigation Station- McKinney 101 Throckmorton St McKinney, TX 75069 Equal Opportunity Employer. Veteran Friendly Employer. SRS Distribution believes in hiring military veterans at any level for any position. We know your service trained you in many of the areas we value, such as; leadership, teamwork, performance, integrity, and safety. If your experience matches our requirements, we want you to apply today.

WireScreen is a fast-growing Series A startup building the go-to open source intelligence platform for navigating global supply chains and China-related risk. While China maintains some of the world's most detailed corporate ownership records, the real challenge is connecting the dots. That's where we come in-surfacing the networks, relationships, and financial ties behind companies to support national security, compliance, and regulatory oversight. Backed by Sequoia Capital and Harpoon Ventures, our team includes a two time Pulitzer Prize-winning journalist and senior engineers from Google, Twitter, and Oracle. We launched our product just three years ago and already have strong traction with top-tier government customers-and we're just getting started. If you're excited to bring transparency to complex global systems, now's the perfect time to join us. Check out this blog from our CEO on how WireScreen traced DeepSeek's origins back to 2023-well before it went mainstream in 2025. About the role: As a Data Crawling and Scraping Engineer, you'll play a critical role in acquiring and structuring high-value external data that powers our core products. Your work will fuel our knowledge graph of millions of entities and directly support our mission to deliver transparency and insight into complex global networks. Your knowledge of core web technologies, such as networking, DNS, CAPTCHAs, APIs, WAFs, and proxies will open the vast scale of open source intelligence data for our internal stakeholders and our customers. You'll work closely with engineering, research, and product teams to identify new data sources, develop reliable pipelines to gather, ingest, and structure that data, and continuously improve our ability to scale and adapt. You'll have ownership over how information flows into our platform - from design and architecture to reliability and performance - and help shape the systems that underpin our next generation of features and products. What You'll Do: Design and implement systems to crawl, scrape, extract, and normalize external data from a variety of web-based sources. Collaborate with researchers and analysts to identify new sources of valuable company, economic, and supply chain data and define integration strategies. Build robust, scalable pipelines that ingest structured and semi-structured data into our database. Ensure high levels of accuracy, coverage, and freshness across incoming data streams. Contribute to the evolution of our data platform and internal tooling. Improve system reliability, observability, and performance over time. You Should Apply If You... Have 3+ years of experience as a backend or full-stack software engineer. Have intimate knowledge of how to crawl the internet at scale. Have strong programming skills, especially in Python. Have experience working with structured and unstructured data from diverse external systems. Are comfortable debugging complex issues involving networking, content rendering, or inconsistent source data. Are proficient with SQL and relational databases. Are a clear communicator who collaborates effectively with both technical and non-technical teammates. Are passionate about turning raw data into meaningful insight, and eager to work on technically nuanced challenges. Bonus Points If You Have... Familiarity with headless browser automation or techniques for collecting data from dynamic content sources. Expertise in the architure, technologies, and tools that run the modern internet such as DNS, networking, CDNs, WAFs, CAPTCHAs, proxies and reverse proxies. Experience with event-driven architecture. Eagerness to incorporate new technologies and validate their usefulness using structured experiments and thorough testing. Experience building health monitoring and observability tools for consumption by automated tools, engineers, and non-technical stakeholders. What You'll Love About Wirescreen At WireScreen, you'll do high-impact work that helps shape global commerce and policy. We're a mission-driven team with a growth mindset-curious, collaborative, and unafraid to take on bold challenges. You'll be empowered to act, heard when you speak, and supported as you grow. With strong market momentum and ambitious goals, this is an exciting time to join us and help build something that truly matters. Benefits & Perks At WireScreen, we care deeply about our team and are committed to supporting your well-being-both in and out of the workplace. Here's how we take care of our employees: Competitive compensation including salary, equity, and rapid growth potential 100% company-paid Medical, Dental, and Vision coverage for employees FSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement Generous paid time off plus company-wide holidays to help you rest and recharge Commuter benefits for NYC and D.C. -based employees Hybrid office schedule for NYC-based and D.C. - based employees

As a key member of the Knowledge Management and Innovation team, the Data Analytics Manager's primary role is to support the delivery of data driven legal solutions and analysis to internal and external clients. The manager is responsible for the Firm's data visualization platforms, reporting tools, data portal, and advanced analytics environment. The manager will support the workflow of projects and conduct hands-on analysis and solutioning, when applicable. ESSENTIAL FUNCTIONS: Data Strategy and Leadership In conjunction with the Director of Data Analytics and Strategy, develop and execute the firm's data analytics roadmap, aligning with strategic business objectives and client service standards. Lead, mentor and grow a team of data analysts and specialists within the Knowledge Management and Innovation department; foster a culture of innovation, collaboration and continuous improvement Collaborate and partner with clients, attorneys, and other stakeholders to identify and deliver opportunities driven by data and quantitative analysis Partner with the Firm's functional departments to analyze data and develop solutions to support business operational objectives of the Firm Surface and support concepts for client-facing solutions that could be productized for the Firm Communicate complex data concepts in clear, actionable terms to non-technical audiences. Data Management and Analysis Train and support end-users in data literacy, dashboard usage and self-service analytics. Deliver regular and ad hoc reports, visualizations, and presentations to firm leadership, practice leaders and clients. Identify trends, risks and opportunities to inform strategic planning, industry and client needs. Collaborate with the firm's Accounting, IT and Pricing departments and other key stakeholders to create and implement data projects for the firm Technical Translate business requirements and unstructured business issues into data analytic problems and solutions Develop data preparation, sample design, identify appropriate analytic and statistical methodology, and document process and results Analyze and model structured data using advanced statistical methods, and implement software/algorithms to perform analysis Perform machine learning, natural language, and statistical analysis methods as appropriate, such as classification, collaborative filtering, association rules, sentiment analysis, topic-modeling, time-series analysis Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data, identify patterns and interpret results, and be able to explain to all levels of stakeholders ADDITIONAL FUNCTIONS: Other projects as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Bachelor's degree, preferably in a business or technical discipline Juris Doctor or Master's degree in data science, computer science, statistics, or engineering - preferred Experience: 5+ years of experience in a law firm or legal operations environment At least 2 years in a data analytics role (or similar) Preferred: Lean, Lean Six Sigma, PMP or similar certification preferred or the ability to demonstrate comparable experience and training in project management or process improvement Knowledge, Skills, & Abilities: Skills & Abilities Strong verbal communication skills with the ability to explain and translate technical data analysis approaches and results to attorneys and business professionals Ability to manage people and motivate them to accomplish their goals. Strong supervisory, organizational and project management skills and ability to prioritize and multi-task with a high volume of work in a fast-paced environment. Ability to work with detailed information accurately and efficiently while maintaining confidentiality. Ability to develop collaborative relationships with a broad array of individuals; ability to explain/sell the needs of the Department/Practice. Ability to build and maintain strong relationships and gain the trust of the attorneys and administrative staff. Competence in setting structure especially where none exists Knowledge Strong business analysis skills and the ability to analyze information and think systematically Strong practical problem-solving abilities using logic, analysis, creativity, follow through and client service skills; good judgment and strong decision-making skills, including the ability to understand complex situations, effectively analyze options and develop sound conclusions. Experience with enterprise data visualization tools (e.g., MS Power BI, Tableau) and data design best practices; Understanding of user interface and user experience design Experience with advanced analytics and data science (e.g., statistical programming, machine learning, classification models, natural language processing) WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. DISCLAIMER Fox Rothschild LLP is under no obligation to provide sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

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

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? We are seeking a highly skilled and experienced Data Engineer to join our growing company, working on a variety of applications and services to support our omni-channel, interactive communication platform. In this role, you will play a key part in the success of our data delivery, ensuring performance to the highest standards. You'll be part of a multidisciplinary team focused on delivering enterprise-grade data capabilities, leveraging AI best practices and cutting-edge tools to optimize data processing and storage. This isn't just about maintaining systems; it's about shaping the future of data at NiCE. The ideal candidate may have a previous background as a DBA, a developer, or a data scientist. Very good communication skills are essential, as is experience working with complex datasets. You will be someone who's happy to get into the detail of the problem rather than just "manage", and be prepared to acquire a deep understanding of our data, how it is structured, where the value is, and the operational demands upon it. As an engineer, you need to know what good looks like and be able to measure our progress towards technical excellence, and to do that they must live, eat and breathe NiCE data. How will you make an impact? Contribute significantly to our strategy and architecture with databases and reporting data, shaping the future of our data landscape. Help evolve our standards and best practices with data across the business, incorporating modern AI-driven approaches to data governance and security. Analyze our data and advise where we can realize maximum value from it, using advanced analytical and AI tools to uncover critical insights and drive business decisions. Monitor our database performance and implement AI-powered solutions for proactive anomaly detection and optimization, ensuring robust and efficient data operations. Propose, plan, and execute innovative strategies to allow us to scale the way we process and store our data, with a focus on building resilient, high-performance architectures that push technological boundaries. Work closely with various multidisciplinary teams with touchpoints in this field, fostering collaborative thinking and knowledge sharing across the organization. Continue to develop and apply hands-on skills related to management of our data, and related topics, including the adoption of new AI/ML technologies for data management and continuous personal and professional growth. Have you got what it takes? Required: Experience working with relational and non-relational databases, key-value and document stores at scale (e.g., MySQL, PostgreSQL, ). Experience working with data warehouse, data lakes, and the associated ETL and reporting tools (e.g., AWS Redshift, Matillion, , Tableau, Looker). Expertise and understanding of architectures needed to build business-centric reports from complex data. Demonstrable data and reporting problem-solving, and data modeling ability. Good knowledge around GDPR compliance, international data governance and security, including how AI tools can assist in these areas. 2+ years of relevant industry experience. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. NiCE to have, but not essential: Experience architecting database solutions in AWS with AWS Step Functions. Database and ETL automation experience. Experience with column-based and graph-based databases like Cassandra and Neo4J. Performance, optimization, troubleshooting and tuning skills with relational and non-relational databases. Agile framework experience. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks for data insights. Basic AWS resource management, including microservice deployment. Containerization and orchestration with Docker, Helm and Kubernetes. Infrastructure as Code with Terraform. FedRAMP compliance experience. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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

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

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

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

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

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

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

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

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Data & Analytics Engineering position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. This is a Lead Business Intelligence & Data Analytics Engineering position at Director level, which is part of the job family responsible for developing and maintaining innovative software solutions. The candidate will partner with Business and Technology teams to provide timely actionable analysis/insights to measure, grow, and supervise business areas, products, and services in Morgan Stanley Wealth Management. Position Overview AIDT under Wealth Management Technology provides consistent, trusted, and integrated business information across all platforms and delivery channels within Morgan Stanley Wealth Management (MSWM) businesses. AIDT areas of expertise include but not limited to Enterprise Data Warehouse (EDW) and Datalake (DL), cross-business-unit Information Management, Business Intelligence, AI/ML and more. AIDT team synthesizes and provisions a multitude of business-critical metrics and underlying detailed information in all Core areas of MSWM. As an integral part of AIDT, Data Visualization team is tasked with providing insightful and actionable business intelligence solutions for various business unit under wealth management. Examples of essential data domains and metrics include Assets, Revenue, Account Demographics, Financial Advisor (FA) information, Securities and Cash Transactions, Risk, Stock Plan, Retirement, Financial Wellness, and other key areas. The candidate will work on either one or many visualization projects, and the role requires active participation with leadership teams, business units and technology groups across the project lifecycle. Specific assignments will depend on the size and complexity of the project. What you'll do in the role: Develop and build enterprise level Full Stack applications using BI and ETL technologies. Design and develop scalable data model to create intuitive reports and dashboards. Design and Development of ETL/Hadoop, including stored procedures, queries, performance tuning, archiving, etc., using python, SQL and ETL tools. Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop Platform. Build data pipelines and efficient automation scripts (using Python) Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations. Analysis of existing designs and interfaces and applying design modifications or enhancements. Providing insights and analysis findings for ad-hoc issues. What you'll bring to the role: 5+ Years of Development creating End to End Full Stack BI Solution, using BI Tools (Power BI, Tableau, Business Objects) and ETL Development (Informatica) 5+ years of experience with the technical analysis and design, development and implementation of Data Lake and Data Warehouse solutions. 5+ years of experience in Hadoop, PySpark and Big data technologies. 5+ years relational database experience. Strong UNIX Shell scripting and Python experience to support data warehousing solutions. Power BI Development and Azure Relational databases DB2, Sybase, and Teradata. DDL and DML writing skills are essential as well as being able to write complex SQLs for data analysis. Create high quality and optimized stored procedures and queries. Experience data modeling and transformation of large-scale data sources using SQL, Hadoop, Spark, Hive, Snowflake, Databricks, Teradata or other Big Data technologies. Knowledge of version control systems, such as GIT/BitBucket -Data warehousing concepts (Facts, Dimensions, star and snowflake design, etc.) Experience with scheduling tools (ex: Tivoli, Autosys) Database Performance and Tuning Unix and Python Scripting Good to have skills: Ability to architect an ETL solution and data conversion strategy. Strong understanding of Data warehousing domain. Hadoop processing Performance Optimization. Familiarity with Python, Perl, R, data manipulation and analysis. Knowledge about TWS Scheduler would an added advantage. Being in Frameworks Team able to assist L1 - L2 Ops Support Team and assist/advise them on Production Job failures and should be able to assist Non-Prod Ops Support Team and assist them in Non-Prod Environment's Job failures. Experience in Agile methodology. Experience working directly with business stakeholders to translate between data and business needs. Excellent Team Player. We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services. All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences. Wherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $120,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

WEC Business Services LLC, a subsidiary of WEC Energy Group, is seeking a Data Security Engineer in our Milwaukee, Green Bay, or Chicago locations. This position offers flexibility for a hybrid work arrangement (remote/on-site) with time spent in the office. About Us WEC Energy Group is one of the nation's largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services. As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don't just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication. If you're talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you. Job Responsibilities Establishes and implements appropriate standards and criteria for data security requirements Design, develop, deploy and manage enterprise data security solutions including data loss prevention (DLP), data encryption, cloud data protection, as well as data security governance and compliance In-depth understanding of DLP, Data Discovery, Classification, Encryption, Masking, Tagging and Governance Conduct risk assessments and vulnerability analyses to identify and mitigate potential data security threats, including third party cyber risk assessment Collaborate with cross-functional teams to design and deploy data protection measures and best practices Provide expert guidance on data privacy management and risk mitigation techniques Ensure KPIs related to data security are accurately tracked and reported Monitor and respond to data security incidents, implementing corrective actions as needed Regularly review data security policies and standards. Provide input and recommendations to address enhancements and adapt to changing regulations and industry best practices Strong interpersonal skills to work effectively with teams This position is part of a job family (Senior IT Cybersecurity Analyst, Principal IT Cybersecurity Analyst), where experience is the determining factor. Minimum Qualifications Bachelor's degree in computer science, computer engineering, software engineering, information technology, computer information systems, MIS, or engineering is preferred. A combination of associate degree, military or professional cybersecurity experience and cybersecurity certification (CISSP, GAIC, MCSE, CEH, GICSP, CSSA, CISM) will be considered. 5+ years in cyber security Excellent communication and interpersonal skills. Principal Cybersecurity Analyst Minimum of 8 years in a cybersecurity role and experience in an occupation requiring project leadership with a wide range of experiences. A strong technical understanding of cybersecurity practices and strong analytical skills is also required Bachelor's degree required. It is preferred the degree is in computer science, information systems or similar field. Preferred Qualifications 5+ years in data engineering or database designs / architectures. Excellent communication and interpersonal skills. Cybersecurity certification (CISSP, CISM, OSCP, CCSP, GAIC, MCSE, GICSP, CSSA) Desirable skills include any of the following: Active Directory Design and Management Cloud, Azure, AWS, GCP Scripting experience, PowerShell or .NET (VB or C#) Security Operations Center (SOC) Data security Network Access Management, DNS, DHCP Benefits Incentive Bonus Wellness Incentive Medical, Dental, and Vision Insurance 401(k) with a Company Match Paid Vacation and Holidays Paid Maternity and Paternity Leave Tuition Reimbursement Life Insurance Benefits End Date: 11/05/2025 Pay Range Minimum: $88,472.54 Pay Range Maximum: $165,332.96 The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements, collective bargaining agreements, and business and organizational needs. At WEC Energy Group, it is not typical for an individual to be hired at or near the top of the range for their role. WEC Energy Group benefits We reserve the right to modify the application deadline or discontinue accepting applications for any position if deemed necessary. Learn more at Careers Legal authorization to work in the United States is required. We will not sponsor for Employment visas, now or in the future, for this job opening. WEC Energy Group and its subsidiaries are Equal Opportunity Employers. As a result, all qualified applicants will receive equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected status. The Company also complies with all applicable federal, state and local laws that require it to take affirmative action. EEO/AA policies and statements Location: Milwaukee, WI, US, 53203 Company: WEC Energy Group (WEC) Req ID: 5735