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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: August 25, 2025

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role Insights from data power most decisions at Robinhood and our company trajectory is defined by the systems, tools, and analytics powered by this exceptional team. As a Data Scientist working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business. Robinhood faces unique data challenges with a focus on integrating complex data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behaviour and the risks to our business. We are looking for a Data Scientist to drive the growth and remediate the abuse of Instant Deposit product, which offers customers immediate access to their deposit for trading. This is a crucial role that helps Robinhood to provide the most seemless experience in trading. The ideal candidate is passionate about understanding the different fraud vectors at a fast-growing company and building solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood. What you'll do Combining knowledge of fraud risk and market risk to improve our understanding of risk exposure to Instant Deposit, and partner with product managers to set the product strategy. Perform exploratory analysis and build monitoring dashboard on large scale datasets to assess the Instant Deposit product from the lense of revenue-risk trade off, and decomposition of different risk dimensions. Partner with other data scientists and software engineers in designing machine learning systems to power decisions in offering Instant Deposit access that is customized to customers and asset classes. Launch modeling solutions through A/B experimentation, extract insights from experiment outcome to drive future strategy. What you bring Graduate degree or equivalent experience in a quantitative field like mathematics, economics, statistics, engineering or natural sciences. 5+ years of relevant experience as a data scientist or quantitative analyst. Familiarity with ACH fraud and market risk of various assets, including equity, option, crypto, futures. In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, and options pricing models. Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark. Experience with experimentation and communicating data driven insights. Problem solving skills and a can-do attitude to dive deep into data to solve business problems What we offer Market competitive and pay equity-focused compensation structure 100% paid health insurance for employees with 90% coverage for dependents Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits Dedicated mental health support for employees and eligible dependents Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $179,000-$210,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $157,000-$185,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $139,000-$164,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Work Flexibility: Hybrid Why ARA at Stryker? Our internal audit team is expanding, and we are looking for someone with data and digital skills to integrate data, technology and digital solutions across our department. As a member of our Assurance and Risk Advisory (ARA) department, you will have a crucial role in leveraging your skills to enhance our operations, improve risk management, and provide valuable insights to the organization. Your skills will contribute to taking ARA into the future by supporting the development, implementation, and scaling of digital initiatives that will be integrated throughout the internal audit lifecycle. You will have the chance to work with a dynamic and global team that supports the organization's strategy through customer focus and innovation. The Senior Data & Digital Analyst will play a crucial role in identifying opportunities and implementing automation, data-driven insights, and process improvements across internal audit projects. This individual should possess a strong digital acumen and effectively apply a digital mindset to internal audit projects and other activities, thereby contributing to the continuous upskilling of the internal audit department. Additionally, having a solid foundation in internal audit principles, methodologies, and practices is a plus. This hybrid role can be based out of our Mahwah, NJ; Portage, MI or Flower Mound, TX offices. This person will be required in office 1 day a week and have the flexibility to work from home the other days. Who We Want Problem solvers. Innovative thinkers who are excited to find a way to overcome a challenge or accomplish a new task. Dedicated achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure business goals and objective are met Effective communicators. Can analyze and synthesize data/information for insights and communicate them in a consumable way for decision making What You Will Do Use analytics and automation tools to efficiently gather, analyze, and interpret datasets, enabling the identification of trends, anomalies, and patterns that enhance the effectiveness and depth of audit procedures. Design and deliver dynamic dashboards, analytic models, and reports to effectively communicate results and key findings to stakeholders. Integrate and analyze multiple disparate data sources from a variety of systems. Continuously monitor and evaluate emerging technologies such as GenAI to identify opportunities for innovation and enhancement within audit processes. Support ongoing enhancement and optimization of the ARA department by supporting activities that align with ARA's data and digital strategy. Stay up-to-date and proactively share ways of using emerging technologies and applying industry best practices to enhance audit processes. What You Need Required: Bachelor's degree in relevant field (e.g., accounting, finance, business administration, business analytics, computer science, data science or other relevant information systems degree) 2+ years of professional experience Experience in database management and coding (e.g., SQL) Preferred: Experience creating dashboards using tools such as Power BI, or similar platforms Digital technology certifications (e.g., Microsoft Power BI Certification). AuditBoard experience $69,100 - $139,600 salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors. Travel Percentage: 10% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Software and Product Innovation - Testing and Quality Assurance team you are responsible for the creation and implementation of impactful testing methodologies and quality assurance processes. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships, managing test delivery engagements, and developing a deeper understanding of the business context. Responsibilities Lead the development and execution of reliable testing methodologies Oversee the implementation of quality assurance processes Analyze intricate issues to provide solutions Mentor and guide junior team members Maintain excellence in deliverables Build and nurture client relationships Manage test delivery engagements effectively Develop a thorough understanding of the business context What You Must Have High School Diploma 3 years of experience What Sets You Apart Bachelor's Degree in Computer Engineering preferred Project Management Professional (PMP), or Agile Certification preferred Evaluating and appraising the lifecycle of a defined Testing Methodology Managing Test Delivery engagements Utilizing leading practice application and integration testing Providing testing recommendations and organizational designs Managing technical teams and engagements Assessing end-to-end integrated systems Conducting quantitative and qualitative analyzes of large and complex data Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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

Company: Marsh McLennan Agency Description: 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: August 25, 2025

At ProMach, we're looking for people who want to shine. You'll have opportunities to take your career in the direction you want. You can be creative. Strategic. Persuasive. Influential. Mechanical marvel. Customer service authority. Meticulous. A closer. A futurist. You'll be challenged and rewarded. Improve our customers' packaging performance and efficiency every day. Help build the future of packaging automation. We're proud of that and hope you will be too. Do we have your attention? Keep reading. ProMach is seeking a strategic and hands-on Data Architect to lead the design, development, and optimization of enterprise-grade data platforms. This role will shape the future of scalable data architecture, powering analytics, reporting, and operational efficiency across diverse business units. The ideal candidate brings hands-on expertise in Databricks, relational databases, ERP/CRM systems, data modeling, data migration, and building and maintaining complex data pipelines. Experience integrating and modeling data from platforms such as SAP, Oracle, Salesforce, and SyteLine is critical. As a Data Architect at ProMach, your work will directly impact the operational and strategic success of over 45 business units. You will unify data across hundreds of systems to enable advanced analytics, faster decision-making, and a reliable data foundation for the future. Do you enjoy this work? Design and implement scalable data architectures across hybrid cloud and on-premise environments. Lead data integration efforts from multiple enterprise systems, including ERP (SAP, Oracle, SyteLine) and CRM (e.g., Salesforce). Develop and optimize robust, scalable ETL/ELT pipelines using distributed data processing and orchestration frameworks. Lead large-scale data migration projects ensuring integrity, lineage, and minimal business disruption. Design and maintain logical and physical data models for both transactional and analytical use cases (e.g., star schema, normalized forms). Collaborate with data engineers and analysts to operationalize and enhance data solutions that meet business goals. Ensure performance, scalability, and reliability of data workflows and storage through best practices in indexing, partitioning, and caching. Champion data quality, governance, and metadata management across enterprise reporting and analytics ecosystems. Provide technical leadership and mentorship to data engineering teams and advocate for modern data practices and tools. Monitor evolving trends and emerging technologies in data architecture to drive innovation and modernization. What's in it for you? There's no monopoly on good ideas or limits to how far you can advance with our team. We offer an open, communicative environment that fosters individual initiative. We pride ourselves in being a company where people are happy and choose to build a career. In addition to growth opportunities, as a ProMach employee, you receive more than just a paycheck. Total compensation includes your salary, comprehensive medical/dental programs, as well as life insurance, a generous paid time off program, and a retirement savings plan with a company match. And because we understand the importance of feeling protected, there is no waiting period for benefits - you are eligible on your first day of employment! If this sounds like you, we want to connect! Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred). 7+ years of experience in data architecture, data engineering, or related roles with a demonstrated hands-on approach. Hands-on experience with Databricks, including building data pipelines, working with Delta Lake, and leveraging Spark-based transformations. Proficiency with relational database development (e.g., T-SQL, schema design, indexing) across platforms such as SQL Server or PostgreSQL. Strong experience integrating and modeling data from ERP and CRM systems, including SAP, Oracle, SyteLine, and Salesforce. Proficiency in SQL and Python for data transformation, analysis, and automation. Experience building robust ETL/ELT processes and supporting data migrations at scale. Solid understanding of data governance principles, metadata management, and data security best practices. Excellent communication and collaboration skills with both technical and business stakeholders. Preferred: Experience with Databricks Unity Catalog or other enterprise data cataloging solutions. Knowledge of real-time data processing and streaming architectures. Familiarity with business intelligence platforms like Power BI or Tableau. Understanding of manufacturing, financial, and supply chain data domains. Experience with CI/CD practices, infrastructure automation, and DevOps for data solutions. Ability to travel up to 10% Pro Mach, Inc. was named to the Inc. 5,000 list of the fastest growing private companies in the U.S. seven times. We continue to introduce innovative products, enter new markets, expand our global presence, and actively acquire new capabilities. We have the rewards, opportunities, and the market strengths of a large organization combined with the entrepreneurial culture of a small, fast-paced company. You will enjoy the benefits of working with a growing company that competes globally, with the personal touch and feel of a smaller company where you can make an impact every day. Curious about life at ProMach? Follow us on LinkedIn, Twitter, and Instagram! Pro Mach is an Equal Opportunity Employer. Pro Mach uses E-Verify to verify employment eligibility of all new hires to work in the United States. Pro Mach is a drug-free workplace. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are looking for a highly skilled and experienced Senior Big Data Engineer with over a decade of expertise in building large-scale data solutions utilizing Hadoop and Spark ecosystems. The ideal candidate will be responsible for designing, developing, and optimizing complex data processing architectures to enable advanced analytics, machine learning, and reporting platforms. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $100k - $110k/year & benefits (see below). The Role Responsibilities: Design, develop, and optimize big data pipelines and processing frameworks using Hadoop (HDFS, MapReduce, YARN) and Apache Spark. Build scalable data ingestion processes and data lakes for diverse data sources. Develop and maintain ETL workflows that handle processing of structured and unstructured data. Collaborate with Data Scientists, Analysts, and Business Teams to translate requirements into technical solutions. Tune and troubleshoot Spark and Hadoop jobs for maximum efficiency and performance. Implement data security, privacy, and compliance best practices across all platforms. Mentor junior team members and foster best practices in big data development. Stay current with emerging trends and technologies related to Hadoop and Spark. Document architecture, workflows, and standards for maintainability and knowledge sharing. Requirements: Bachelor's, Master's, or Ph.D. in Computer Science, Information Technology, or related field. 10+ years of industry experience in big data engineering with proven expertise in Hadoop and Spark technologies. Extensive experience with Hadoop ecosystem components: HDFS, MapReduce, YARN, Hive, Pig, HBase, and Oozie. Strong proficiency in Apache Spark (Scala, Python, or Java) and Spark SQL. Experience with data ingestion tools such as Apache NiFi, Kafka, or Flume. Hands-on experience with cloud platforms (AWS, Azure, GCP) and their big data services integrated with Hadoop/Spark. Knowledge of data modeling, data warehousing, and database technologies (NoSQL, relational systems). Familiarity with containerization and orchestration tools like Docker and Kubernetes. Familiar with data governance, security, and compliance standards. Excellent problem-solving, system architecture, and communication skills. Preferred, but not required: Experience with Spark Streaming and real-time data processing. Knowledge of advanced analytics, machine learning pipelines, and integration with Spark MLlib. Experience with automation and orchestration tools such as Apache Airflow. Familiarity with version control and CI/CD practices for big data platforms. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Candidate Application Notice

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. The Senior Data Center Sales Specialist role is a seasoned subject matter expert and is a quota-bearing sales persona. The purpose is to primarily pursue, and land qualified leads identified by the Client Management team and other respective teams. The Senior Data Center Sales Specialist identifies new opportunities from a selection of existing accounts, and presents solutions, value propositions, partner configurations, cost structures, and revenue models to the client that meet their needs. We are seeking a results-driven Senior Data Center Sales Specialist to join our Data Center Solutions team at a leading Global Systems Integrator. This quota-carrying role focuses on pursuing new business and expanding Data Center Infrastructure and Solutions within new and existing accounts. Responsibilities include identifying, developing, and closing sales opportunities in collaboration with industry vertical sales teams and by partnering with leading Data Center technology partners. The ideal candidate should have deep expertise in data center infrastructure and software, excels at consultative and solution selling, drives revenue growth and customer success. This role will require engaging with client executives, and create and deliver innovative, integrated Data Center infrastructure and ISV/Partnered solutions that align with client needs and accelerate business outcomes and align with client needs across verticals Key Responsibilities: Sales and Business Development: Identifying, developing, and closing sales opportunities in collaboration with industry vertical sales teams. Actively prospect enterprise accounts, qualify, and pursue high-value opportunities, working internally and with Technology and Business Partners. Sales Execution & Growth: Provide support on the current sales pipeline Own and drive the entire sales cycle, from lead identification to pipeline management, closure, ensuring strong deal velocity. Driving opportunities in collaboration with industry vertical sales teams and by partnering with leading Data Center technology partners. Client Engagement & Relationship Building: Build trusted executive-level relationships and become the go-to advisor for Data Center transformation strategies. Maintain a strong pipeline and strategic account penetration across multiple industry verticals working closely with Client Execs. Solution & Consultative Selling: Domain Subject matter expertise in the Data Center technology domain, delivering high-value solutions tailored to client needs Work closely with pre-sales architects, addressing technology conceptual hurdles and building the best-fit solution designs. Develop compelling value propositions, partnered solutions, and support that align with client needs Market Strategy & Competitive Positioning: Stay ahead of industry trends, competitor strategies, and market penetration approaches to differentiate offerings and maximize wins. Leverage partnerships with technology vendors and OEMs to accelerate pipeline generation and drive co-selling opportunities. Knowledge Sharing & Thought Leadership: Contribute to the company's knowledge base, sharing best practices with internal teams and clients. Maintain deep product and service knowledge, ensuring effective sales conversations at all levels of the client organization. Required Qualifications: 6+ years of experience in Data Center solutions, enterprise IT, or cloud, with a strong business builder mindset. Proven track record of exceeding sales quotas, closing deals, and penetrating new enterprise markets. Entrepreneurial mindset with a competitive drive to win. Excellent negotiation, analytical, communication, and presentation skills. Bachelor's degree in Business, IT, or a related field (MBA preferred). Preferred Skills: Strong expertise in Hybrid-Data Center Infrastructure and Core technologies in one or more areas: Virtualization/Containerization, Cloud & Hybrid. Infrastructure, Hyper-Converged Infrastructure, Storage Solutions/ Disaster Recovery, Data Center Infrastructure. ISV Sales, OEM Collaboration, Hybrid Cloud, Solution Selling. Industry Vertical Experience (e.g., Financial Services, Healthcare, Manufacturing, Public Sector). Additional Career Level Description: Knowledge and application: Applies advanced wide-ranging experience and in-depth professional knowledge to develop and resolve complex models and procedures in creative way. Directs the application of existing principles and guides development of new policies and ideas; Determines own methods and procedures on new assignments. Problem solving: Understands and works on complex issues where analysis of situation or data requires an in-depth evaluation of variable factors, solutions may need to be devised from limited information. Exercises judgment in selecting methods, evaluating, adapting of complex techniques and evaluation criteria for obtaining results. Interaction: Frequently advises key people outside own area of expertise on complex matters, using persuasion in delivering messages. Impact: Develops and manages operational initiatives to deliver tactical results and achieve medium-term goals. Accountability: May be accountable through team for delivery of tactical business targets. Work is reviewed upon completion and is consistent with departmental objectives. Workplace type: Remote Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Position Summary Provide data analysis support to stakeholders to maximize mutual trust and strategic execution by enabling business and market insights. Role and Responsibilities MULTIPLE POSITIONS AVAILABLE Company: SAMSUNG ELECTRONICS AMERICA, INC. Position Title: Engineer II, Data Analysis Location: 85 Challenger Road, Ridgefield Park, NJ 07660 Job ID: SAM9441229 Position Responsibilities: Provide data analysis support to stakeholders to maximize mutual trust and strategic execution by enabling business and market insights. Manage e-commerce dashboards and reporting including design, data modeling, capabilities, automation, and templates. Support the foundational projects connecting to insights platform, especially around data management and design, data warehousing, optimizations, and best practices to enable insights and actions from stakeholders. Work with issues owners to track high-level progress, driving accountability, and resolve issues across ecommerce. Understand S.com journeys - ensure data and systems are developed with the relevant functions that generate win-win that will allow s.com to connect the dots and identify and prioritize opportunities to improve and create processes. Learn S.com operations across different lines of business and leverage those understandings to ensure the direction of projects and activities support stakeholder needs. Perform ad hoc analyses to identify opportunities and develop actionable recommendations through a rigorous, datadriven process. Work proactively to uncover areas within the business to drive performance improvements to unlock productivity and accelerate execution. Position Requirements: Master's degree in Computer Science, Statistics, Business Intelligence and Analytics, or a related field. Must have knowledge in regression, classification and clustering techniques; retrieving data from various sources, and manipulating data for business reporting; implementing machine learning algorithm for problem solving; and planning and gathering business requirements, identifying and solving data issues. Hours: Full Time, 40 hours/week. Salary Range: $149,500/year to $224,500/year #LI-DNI Skills and Qualifications Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

Company: Marsh McLennan Agency Description: 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: August 25, 2025

About Us: Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and structured finance instruments globally. Currently with 700 employees in eight offices globally. Formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the ratings business is the fourth-largest provider of credit ratings in the world. Morningstar DBRS is committed to empowering investor success, serving the market through leading-edge technology and raising the bar for the industry. Morningstar DBRS is a market leader in Canada, the U.S. and Europe in multiple asset classes. Morningstar DBRS rates more than 4,000 issuers and 60,000 securities worldwide and is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. Morningstar DBRS approach and size provide the agility to respond to customers' needs, while being large enough to provide the necessary expertise and resources. Visit: https://www.dbrsmorningstar.com/learn/dbrsmorningstar to learn more. About the Role: Morningstar DBRS is seeking a Data Governance Analyst to join the Credit Operations Data Products Team. The Data Governance Analyst will be responsible for leading high-profile data quality improvement initiatives working across the organization partnering with Business Development, Data Management, Product Management, and Technology. This role includes ownership of key initiatives within the broader data governance scope and offers the opportunity to develop controls and drive change. In this role, you will be asked to analyze large data sets to identify gaps, inaccuracies, or other data issues. You'll have the opportunity to be responsible for partnering with various teams to improve processes and systems/products. This is a high-visibility position with opportunities to engage with senior leaders and influence data-related decisions across the organization. This position is based in our Toronto office. We follow a hybrid policy of 3 days onsite and 2 days remote work. Responsibilities: Primary point of contact for resolving/tackling data inconsistencies and data maintenance questions Review data requirements for new initiatives and review any data backfill to ensure data integrity and consistency Organize data validation in current systems either working independently or leveraging available resources across teams Provide support for external data feeds with client issue resolution Work on data projects to streamline current data processes Create proposals for new data hierarchies for related issuers then drive implementation and adoption Proactively monitor data accuracy dashboards and sample query databases to identify and address any discrepancies with appropriate teams Perform data validation in regulatory reports Requirements: Bachelor's degree in Accounting, Economics, Finance, Data Science or Management Studies 3-4 years of Relevant Financial Data experience, experience at a rating agency is a plus Proficient in using data collection and analytical tools Experience working with large data sets Exposure to database management Excellent verbal and written communication and interpersonal skills Ability to work independently and exercise good judgment Strong attention to detail and accuracy Excellent troubleshooting skills Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic Ability to manage multiple tasks at the same time and deliver results in a timely manner Ability to participate/ contribute as a team player Recommended Skillsets: Experience working with SQL (MS SQL Server) Experience with Bloomberg and/or Refinitiv Eikon Knowledge of fixed income or capital markets Experience with Python Familiarity with Data Governance best practices About Us Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world. Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service. Morningstar DBRS is the next generation of credit ratings. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we've found that we're at our best when we're purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. R08_DBRSLtdCanada DBRS Limited - Canada Legal Entity

Job Title: Director, Data Governance Job Description We're Concentrix. The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. As the Director of Data Governance, you will be at the forefront of leading the global development and execution of our data governance strategy. You will ensure the integrity, accuracy, and ethical use of data across the organization, positioning Concentrix as a leader in data-driven excellence. This pivotal role involves collaborating with a diverse range of stakeholders to establish robust data governance practices that not only enhance operational efficiency but also support our strategic objectives. By joining our team, you will have the opportunity to influence the organization's data culture, advocate for data literacy, and drive initiatives that lead to informed decision-making and business growth Key Responsibilities: Develop and implement a comprehensive data governance framework aligned with business objectives Lead the data governance team by providing strategic guidance, promoting a culture of data excellence, and driving data literacy initiatives and executive dashboards that showcase the ROI of governance efforts. Develop data quality metrics and monitoring processes to identify and address data issues proactively. Collaborate with senior leadership to drive data governance initiatives and strategic projects Establish and enforce data governance policies, standards, and practices to ensure data integrity and compliance with relevant regulations (e.g., GDPR, HIPPA, SOC2) Coordinate with legal and compliance teams to address data privacy and security concerns Oversee data quality management processes, including data profiling, cleansing, and validation, metadata curation, lineage, business-glossary adoption, and data-quality scorecards. Implement data stewardship programs to ensure accountability and ownership of data assets Inspire and lead a global team to bring thought leadership, drive innovation, and achieve exceptional business results Work with IT, analytics, and business units to integrate data governance into their processes and systems. Serve as a key point of contact for data governance issues, providing expertise and support to stakeholders Develop and deliver training programs to promote data governance awareness and best practices across the organization. Cultivate a culture of continuous learning and professional development. Stay abreast of industry trends and emerging technologies in data governance (e.g, data catalogs, metadata management, and data quality tools) Experience Demonstrable experience leading a global data governance, data management, or a related discipline in a complex matrixed organization Proven experience in a leadership role with a track record of successful data governance and demonstrated ownership of an enterprise-class Master Data Management implementations Strong knowledge of data governance frameworks, tools, and industry regulations Preferred certifications: DAMA CDMP, Reltio/Informatica/Profisee Excellent communication, leadership, and project management skills, with a proven track record of leading and mentoring MDM teams and fostering effective partnerships with data stewards and data owners. Ability to work collaboratively in a fast-paced, dynamic environment Bachelor's degree in Information Management, Business, Data Science, or a related field; Master's degree preferred Ability to work with senior level leaders across the business and influence the opinions of others. In everything we do, we believe in doing right by and for people - our clients, their customers, our people, our community, and our planet. Concentrix is an equal opportunity employer We're proudly united as one team, one company, globally. We're committed to equal employment opportunities for all candidates and a work environment free from discrimination and harassment. All our recruitment practices are based on business needs, job requirements, and professional qualifications, without regard to race, age, gender identity, sexual orientation, religion, ethnicity, family or parental status, national origin, disability, or any other classification protected by applicable national laws. The base salary range for this position is $145,000- $185,000, plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days. The deadline to apply for this position is August 8th 2025. Location: USA, FL, Work-at-Home Language Requirements: Time Type: Full time Physical & Mental Requirements: While performing the duties of this job, the employee is regularly required to operate a computer, keyboard, telephone, headset, and other office equipment. Work is generally sedentary in nature. If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. For more information regarding your EEO rights as an applicant, please visit the following websites: English Spanish To request a reasonable accommodation please click here. If you wish to review the Affirmative Action Plan, please click here.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $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

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates extensive abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using GCP services; Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP; Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using GCP; Optimize Cloud resources for cost, performance, and scalability; Possess strong proficiency in SQL and experience with relational databases; Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Possess proven analytical, problem-solving, and communication skill; and, Work independently and as part of a team in a fast-paced environment. Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $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

Job Description: Sr Staff Engineer - Finance Data Specialist GEICO is seeking experienced Finance Data specialists to provide expertise and guidance in supporting the build out of a Finance data lake/warehouse. This individual must have the ability to provide coaching to business teams and technologists by guiding, planning, and partnering at various levels. This specialist will partner with the engineering teams in the establishment of a new Finance Data Warehouse. This role requires strong functional and technical Finance Systems background to partner with the Business and have effective discussions driving the capture, transformation, and utilization of Finance data to meet Business goals. The Senior Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data Warehouse/Lake to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. This role will work with multiple Finance and Technology leaders to set the strategy for building out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. The individual in this role will be a key advisor and partner to the Finance Leadership to redesign the way they use their technologies in managing GEICO's business. The Finance Data Specialist is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies to support deploying best practices, leveraging their broad and deep knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required, with a deep understanding of the functional and technical aspects of ERP and Data Warehouse systems. Position Responsibilities As a Senior Staff Engineer, Finance Data Specialist supporting Finance Systems you will: Leverage your deep Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Lead design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Work with Business Sponsors to develop project roadmaps which align to business objectives and sequenced by priority and resource availability Support and influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various leadership levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Consistently share best practices and improve processes within and across teams Qualifications 20+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) 5+ years of experience in implementing and supporting FP&A applications (Preferred) 5+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Solid understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs 5+ years as a lead or architect supporting Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Deep Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Strong understanding of FP&A Budgeting, Planning, and Reforecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Strong understanding of Accounting process and reporting expectations to partner with senior Finance Leaders Ability to communicate and work directly with leaders across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

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: August 25, 2025

We're always looking for diverse, talented, service-oriented people to join our exceptional team. Statistical Data Analyst II The pay range for this position is listed below. Our pay ranges are built to allow for candidates with various levels of skill and experience to be considered, as well as for room for growth and tenure achieved in a role over time. Typical new hire salary offers fall within the minimum to midpoint of a pay range for many candidates. Any offer extended to a candidate will be based upon their unique set of knowledge, skills, education, and experience as well as internal equity. Pay Range: $86,917.00 - $130,376.00 Scheduled Weekly Hours: 40 What You'll Be Doing Responsible for the development, maintenance, and execution of existing and new statistical models in SAS or comparable system, recommending revisions and improvements to statistical models, developing new models, conducting and documenting detailed analysis, and reporting various findings to management as required for stress testing purposes. Evaluate, design, develop, and maintain statistical and predictive models to identify historical trends and forecast future performance of credit losses, loan originations, pre provision net revenue and other related measures using SAS or comparable system, based upon projections of macroeconomic variables from the Federal Reserve and internally developed business assumptions as required by NCUA for capital planning, stress testing, and CECL requirements. Develop methods to analyze both existing and new models, including determining appropriate methodologies based on model type, challenging assumptions, evaluating performance and robustness effectively, writing comprehensive validation documents, and presenting findings to senior management. Identify standards that can be applied in assessment of all aspects of stress test models including theoretical aspects, model design and implementation, data integrity, and reliability. Perform advanced assessments to assess how models perform in comparison of identified standards for the models, thoroughly documenting results of your review. Apply maturing knowledge of industry best practices of statistical models and methodologies. Stay current with emerging requirements, both regulatory and others, and manage corresponding changes in models, systems, and processes. Create and present effective materials to management based on findings, showcasing professional displays of information. Develop and apply advanced statistical techniques to analyze data, forecast, interpret, and quantify trends on various aspects of information. Responsible for sophisticated analysis and development of implications and recommendations for existing processes, as well as building these out for new processes. Ensure the accuracy and reliability of data used in the model building process by performing established data checks and validations. Ensure data check process is robust and implement changes where necessary. Responsible for gathering and organizing data, ensuring data accuracy, and developing ways to address concerns. Develop modeling-focused reports, presentations, and written narratives for inclusion into the Credit Union's annual Capital Plan. Establish and maintain strong relationships with various business units and key functional stakeholders to develop business-related assumptions based upon different economic scenarios and to identify new opportunities for statistical analysis applications to evaluate Additional Job Functions Performs other duties as assigned Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions Qualifications Bachelor's Degree or equivalent years of experience required Master's Degree preferred 3-5 years of previous related experience required 3-5 years of experience within a financial services company. Knowledge, Skills, and Abilities Thorough understanding of and ability to recommend and implement new statistical methods, probability theory, data cleaning/imputation, and advanced statistical and quantitative analysis required, as is a working knowledge of credit loss, originations, and PPNR modeling at a financial institution. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Working knowledge of SAS is required, as is intermediate proficiency in a coding based statistical language such as SAS, R, Python, Matlab, etc. Strong analytical and problem-solving skills as well as effective communication skills, both written and verbal. Proficient data cleaning, statistical analysis, and statistical coding skills. SchoolsFirst FCU is committed to Diverse, Equitable, and Inclusive Hiring At SchoolsFirst FCU we are dedicated to building and growing a diverse, inclusive, and authentic Dream Team, so if you're excited about a position or wanting to make a career change but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. Many skills are transferrable and you may be just the right candidate for the position, or for other roles we are working on. SchoolsFirst Federal Credit Union is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. SchoolsFirst FCU is an equal opportunity employer and prohibits discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, political affiliation, or genetic information. This organization participates in E-Verify.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $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