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Our technology has no boundaries! NVIDIA is creating the world's most groundbreaking and innovative compute platforms for the world to use! It's because of our work that data engineers and data scientists can advance their ideas. We are looking for individuals to develop a data processing and ML platform for data scientists to use. As a data processing platform engineer, you will design, implement and operate Kubernetes based GPU accelerated data processing service at scale, with high availability and reliability. You will lead and encourage adoption of the data processing service, your work should improve time to first query (TTFQ) metrics, drive platform engagement metrics, and come up with innovative solutions that blends with pioneering Nvidia's enterprise scale data science platform. What you'll be doing: Optimize distributed computing infrastructure by analyzing cost and right sizing for latency and performance Identify KPIs and instrument metrics tracking for dashboards and alerting Enhancing and maintaining a robust scale, reliable, real-time data processing service Train data engineers, data scientists and production engineers how to adopt data processing workflows Participate in on-call rotation, run-book implementation and continuous process improvement What we need to see: Experience architecting, developing and deploying large-scale distributed systems at scale Strong Kubernetes experience on-premise and/or CSP, developing containerized microservices Hands on experience in the performance tuning/troubleshooting Spark applications Experience with distributed systems, databases, and big data systems like Ray, Spark Rapids Familiarity with metrics collection, health monitoring, and observability tools Building, operating and maintaining full stack software deployments coupled with excellent software programming skills Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience. A minimum of 5yrs experience with a background in software engineering and math Ways to stand out from the crowd: Prior data processing at scale on Nvidia GPUs Experience with CUDA and/or using Nvidia GPUs for ML/DL #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 1, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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

Description Our Regulatory Reporting Data & Automation Manager position is a highly visible and impactful position working on Huntington's regulatory financial filings. The primary responsibility will be to work across segments to drive the end-to-end automation of the required regulatory filings in compliance with the standards and guidance from the appropriate institution including the Federal Reserve, Federal Financial Institutions Examination Council (FFIEC) and Office of the Comptroller of the Currency, for Huntington Bancshares Incorporated and The Huntington National Bank, as well as work on other internal priority projects. Collaborate, build relationships and communicate requirements across the organization to gather reportable data, including providing business requirements to data partners (including IT and Finance Data Resource Group) and complete user acceptance testing of the resulting efforts. Identifies and works with others within the organization to improve reporting data and generate additional operational efficiencies while maintaining strong compliance with regulatory requirements. Collaborates with other Regulatory Reporting colleagues to ensure efficient and effective reporting and assists, as needed, with periodic reporting processes, including but not limited to the Call Report, FR Y-9C, FR Y-14M, FR Y-14Q, FR Y-14A, FFIEC 009, FR Y-15, Basel III, and other reports as needed. Ensures the maintenance of procedural documentation for the regulatory reporting process and execution of appropriate review controls. Identifies, articulates, and coordinates regulatory reporting issues with Risk Management, Internal Audit and Legal. Analyze results and provide insightful detail to management for trends and fluctuations. Special projects related to regulatory reporting efforts, as needed. Leads and participates in quality control efforts to ensure information used and reported in regulatory reports is consistent between reports and schedules, and with other internal and external reporting, as applicable. Basic Qualifications: Bachelor's degree in accounting, finance, economics, or information technology 7+ years of experience in auditing, regulatory and/or SEC reporting or regulatory related field. Preferred Qualifications: Public accounting and/or external financial reporting experience. Financial services sector experience. Control mindset and demonstrated ability for process improvement. Excellent written and verbal communication skills. · Detail oriented and highly organized. Enjoys working in a team environment. Strong problem solving and analytical skills. Ability to multi-task and self-prioritize tasks to assure each task is completed timely and accurately. Strong time management skills to allow for adherence to deadlines. Proficiency in Excel using advanced functions and complex formulas. Experience in banking regulations and/or core banking processes is considered a plus. Experience using Axiom/Adenza ControllerView Reporting software, Microsoft Office with Outlook, Access, Wdesk, Wdata, and Essbase knowledge considered a plus. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: $70000-$140000 Annual Salary The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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.

Company Overview: For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our "Members". Those Members are comprised primarily of 960+ utilities and broadbands across North America. Our mission is to deliver technology solutions and services that are Member-focused, quality driven and valued priced. Our Members have over 16 million end customers (residential and businesses who receive power, internet, television and/or telephone services) that our enterprise software solution enables our Member's employees to compete effectively in the industry, while excelling in providing customer service to their end customers. NISC exist to serve our Members and help them serve their communities through our innovative software products, services and outstanding customer support. Primary Responsibilities: We are seeking out experienced and talented software engineers that are motivated, enjoy working with others and solving complex challenges. We look for individuals who will thrive in a team environment, be committed to accomplishing a common goal and aren't afraid to learn new things and have some fun along the way. You will be focusing on building, maintaining and supporting custom CDC pipelines. This position will work closely with other development teams on integration with the data pipeline and the data engineering team on data ingestion into our data lake. Work Schedule: Hybrid from one of our office locations: Cedar Rapids, IA Lake Saint Louis, MO Mandan, ND Hybrid Schedule: Minimum of working 3 days per week out of an office location and ability to work up to all 5 days a week from an office location. Required Days from an Office Location: Tuesday and Wednesday - the third required day will be up to the candidate and their supervisor to choose Essential Functions: Complete complex software maintenance and enhancements independently within assigned software application or program with impact on the broader solution, contributing to the development of existing frameworks and system architecture. Analyze and translate advanced-level user requirements and design into software, with a focus on multiple areas of the solution. Follow and enforce established software development methodologies and procedures. Stand up RESTful web services. Container-driven development (Kubernetes, micro-services). Collaborate with cross-functional teams to research, design, and implement new features. Research, analyze, and resolve moderately complex customer issues and bugs. Unit test and integration test code as needed. Develop and maintain data ingestion pipelines, including CDC (Change Data Capture) mechanisms, for efficient and reliable data flow into data lakes such as Amazon S3. Ensure data integrity and consistency throughout the data pipeline lifecycle. Scale data systems and processes to accommodate growing data volumes and evolving business needs. Incorporate new data sources into existing pipelines with minimal disruption. Utilize strong knowledge of data processing tools and frameworks to optimize performance and reliability. Collaborate effectively with team members to keep data projects aligned and on track. Follow all established software development methodologies and procedures. Other duties as assigned. Desired Experience and Skills: Generally, requires 3+ years' experience in software development. Proficient with relational and non-relational databases (Oracle, Postgres, Aurora preferred) Experience with cloud technology stack (AWS, Kubernetes, Spring Boot, Kafka, SSO, Cassandra) Proficient with developing responsive content Java, Kotlin or other Object-Oriented Languages Experience Experience with asynchronous workflows/patterns. Working knowledge of web trends, architecture and deployment patterns. Experience with Git including branching/merging workflows Experience with JIRA, Confluence, Bitbucket, Bamboo. Commitment to NISC's Statement of Shared Values. NISC's Shared Values & Competencies: We're a cooperative, which means we're owned by the Members we serve. It also means that our focus is on taking care of our Members and our employees, rather than having a big bottom line. Quality service and innovative technology starts with happy and dedicated employees. Join our team and learn for yourself what sets NISC apart. Integrity- We are committed to doing the right thing - always. Relationships- We are committed to building and preserving lasting relationships. Innovation- We promote the spirit of creativity and champion new ideas. Teamwork- We exemplify the cooperative spirit by working together. Empowerment- We believe individuals have the power to make a difference. Personal Development- We believe the free exchange of knowledge and information is absolutely necessary to the success of each individual and the organization. Benefits: Medical, Dental and Vision Insurance. Health Savings Account (HSA) with $100 monthly contributions from NISC. Like to walk? Improve your overall wellness knowledge? Ability to earn up to $800 additional dollars into your HSA each year through our Wellness Rewards program. Dependent Care Flexible Spending Account (FSA) thru Paylocity. Fully covered life insurance up to x3 annual base salary. Fully covered short- and long-term disability. 401(k), traditional or Roth, with employee match up to 6% and employer 4% salary base contributions. PTO accrual levels dependent on years of service, 120 Life Leave Event hours, holiday week, and 9 paid holidays. $2,500 Interest-FREE technology loan program. $25,000 employee educational assistance program. Volunteer, Wellness, Family Events and other employee fun supplied by our committees. Employee Assistance Program; assisting employees and dependents with virtually any life event Benevolence Committee to support employees with financial hardships like unexpected medical bills, funerals and other unfortunate hardships. Education Preferred: Bachelor's or master's degree in a Computer Science, Computer Engineering or a related field and/or equivalent experience. Minimum Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the essential functions of this position, employees must be able to see and communicate. Employees are regularly required to maintain a stationary position, move, and operate computer keyboards or office equipment. Disclaimer: Management may modify this job description by assigning or reassigning duties and responsibilities at any time.

We are seeking a talented individual to join our Mercer Investments team at Mercer. This role will be based near a Mercer office anywhere in our East Zone. This is a hybrid role that has a requirement of working at least three days a week in the office. The Alternatives Data Solutions Leader will play a pivotal role in defining and executing Mercer's data strategy for alternative investments, supporting growth, operational excellence, and innovation within our global investment platform. We will count on you to: Define and embed the alternatives data strategy and vision for Mercer Investments, ensuring alignment with broader business objectives. Collaborate with Investment Teams and technology partners to identify capabilities and implement tailored, fit-for-purpose data solutions. Lead the execution of the data strategy by rolling out new platforms, ensuring data governance, quality, and compliance. Develop roadmaps, prioritize initiatives, and create metrics and dashboards to monitor progress and measure success. Foster a culture of collaboration, continuous improvement, and data-driven decision-making across Mercer's global offices. Partner with external vendors and internal teams to optimize operational performance and leverage innovative data technologies. What you need to have: 10 years of experience in the Asset Management industry, with direct exposure to Hedge Funds and Private Market Investment teams. Proven track record in leading global data operations teams and driving transformation through new processes and platforms. At least 5 years of experience in enterprise data strategy within an Asset Management organization, supporting investment operations. Familiarity with data ecosystems in Asset and Wealth Management, particularly in Alternatives investment processes. Strong leadership, communication, and stakeholder management skills, with experience presenting at the CxO level. Relevant certifications such as CFA and CAIA are highly desirable. What makes you stand out: Exposure to various asset classes including Long-Only funds, Hedge Funds, and Private Market Funds. Experience with tools like iLevel, Vidrio, S&P EDM, Diligence Vault, and Dasetti. Expertise in building analytics such as risk analytics, portfolio analytics, statistical modeling, and attribution analytics. Deep knowledge of core vendors, technologies, and emerging trends like cloud, automation, and AI/ML. A results-oriented mindset with a history of leading large-scale transformation initiatives in complex, multi-regional organizations. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. The applicable base salary range for this role is $118,800 to $237,600. 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.

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with Generative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Data Scientist Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 8 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like LangGraph, AutoGen or Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with Hybrid Retrieval, Semantic Chunking, Metadata Filtering and Vector Search Optimization Experience with Advanced LLM concepts like Prompt Compression, Fine-Tuning, Caching, etc. Experience working with multimodal models integrating image, text, or audio into GenAI workflows. Experience working with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation, including human-in-the-loop feedback loops. Experience with LLMOps practices including prompt versioning, caching, observability, cost tracking, and production deployment of LLMs. Strong understanding of AI governance (like GDPR, explainability), data privacy, model safety (e.g., hallucination, toxicity, bias), and enterprise-grade compliance requirements. Experience with data gathering, data quality, system / microservices architecture, coding best practices Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ / Sunnyvale, CA / Austin, TX / Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate. Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. Exposure to Front -End / Full-Stack Integration (React / Angular, TypeScript, REST APIs, GraphQL, Event-Driven etc.) The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA: $94000 to $164500 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

Description Job Description We are looking for a seasoned Data Protection Engineer, Expert to join our cybersecurity and compliance team. This role is critical in safeguarding sensitive financial data, ensuring regulatory compliance, and enabling secure collaboration across our Microsoft 365 environment. You will lead the implementation and optimization of Microsoft Purview and related M365 security tools to support our enterprise data protection strategy. Key Responsibilities Assist with designing and implementing data protections solutions using Microsoft Purivew, Entra, and Defender XDR. Develop and maintain DLP policies, sensitivity labels, retention policies, and insider risk management rules tailored to financial data and regulatory requirements. Collaborate with Legal, Risk, Compliance, and IT teams to align data protection strategies with FFIEC, GLBA, SOX, and other banking regulations. Monitor and respond to data protection alerts and incidents, conducting root cause analysis and recommending remediation. Provide technical leadership and mentorship to junior engineers and cross-functional stakeholders. Stay current with evolving data privacy laws, regulatory guidance, and Microsoft roadmap updates. Basic Qualifications 5+ years of experience in data protection, cybersecurity, or technical engineering 1 Years Experience with Microsoft 365 security and compliance tools, especially Microsoft Purview. 3 Years Experience with PowerShell scripting and automation in Microsoft environments. Preferred Qualifications Experience with financial data classification, insider risk programs, and secure collaboration in regulated environments. Experience with Copilot and other GenAI and the monitoring of their use. Familiarity with third-party risk management and vendor data handling practices. Experience in the financial services sector. Excellent analytical, documentation, and communication skills. Strong understanding of data governance, encryption, DLP, and regulatory compliance frameworks (e.g., GLBA, GDPR, CCPA). Microsoft certifications such as SC-400 (Information Protection Administrator), SC-100 (Cybersecurity Architect), or equivalent #Hybrid #LI-SG1 #LI-BM1 Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience designing, analysis, and refining experiments Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics Intellectual curiosity and drive, decisiveness, ambiguity and complexity Bachelor's degree required Preferred Qualifications Insurance industry experience Master's degree, or Advanced technical degree Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience of data modeling and data pipeline design Annual Salary $110,000.00 - $230,000.00 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.

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager 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. 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. The Opportunity As part of the Software and Product Innovation - Testing and Quality Assurance team you, you manage test data operations and oversee the successful implementation of test data management capabilities across testing life cycles. As a Manager, you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for project success and maintaining exemplary standards, while utilizing your broad knowledge in test data management tools and methodologies. Your role involves motivating and inspiring others to deliver quality, embracing technology and innovation, and upholding professional and technical standards. Responsibilities Oversee the execution of test data operations across various testing phases Guide and develop team members in test data management practices Strategize and implement plans to enhance client service delivery Maintain adherence to top standards and project timelines Utilize innovative technologies to improve testing processes Inspire and motivate teams to achieve excellence in deliverables Maintain compliance with professional and technical guidelines Foster a culture of continuous improvement and learning What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Certifications preferred: Test Data Management Tool Preferred field(s) of study: Computer Engineering Demonstrating experience as a Test Data Manager Utilizing tools like Talend, Delphix, Informatica TDM Implementing TDM capabilities across testing life cycles Understanding of Python and Snowflake Working knowledge of database management systems Demonstrating experience with Agile methodologies Excelling in communication and problem-solving skills 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: $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

Excelsior University is seeking a Data Analyst to leverage data to drive strategic initiatives, improve operational efficiency, and achieve institutional goals. Reporting to the Senior Director of Analytics, the analyst will collaborate closely with business partners in Academic Affairs, Strategic Partnerships and Alliances, and Fiscal Services. The role will be responsible for using data modeling and analytical techniques to inform financial decisions, determine ROI, and identify opportunities for efficiency and growth. This position is based out of the university's home office in Albany, NY with the option of considering remote candidates. Remote employees will have mandatory occasional travel for meetings, conferences, and professional development opportunities. Remote employees are expected to be available during work hours 8:30 am - 5:00 pm Eastern time. The University will supply necessary equipment to perform the essential functions of this job (e.g., Laptop, docking station). Employees are responsible for having a workspace where they can participate in virtual meetings without multiple interruptions and noise. Use predictive and prescriptive analytical techniques to enable leadership to make informed decisions. Apply demonstrated knowledge of business modeling and business analysis to develop and maintain cost allocation and return on investment (ROI) models. Uses various data analytics tools to clean, manipulate, and transform data for analysis. Work with business and academic leaders to identify deliverables and assumptions for analytical tools and models. Communicate with data through written and oral reports, using data visualization techniques to present findings in a manner that can be easily understood by nontechnical audiences. Promote data stewardship and data quality. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. A bachelor's degree is required, master's degree preferred, from an accredited institution in business analytics, statistics, finance, or related empirical research field. Higher education experience is preferred. Experience with financial analysis, business development, sales, B2B, or academic partnership data is a plus. Demonstrated knowledge and application of cost analysis related to business modeling, including ROI and direct and overhead cost allocation activities. Demonstrated ability to cogently summarize project findings and their implications, both orally and in written reports. Three or more years of relevant experience Analytical mindset and comfort with explaining quantitative analysis Strong attention to detail, thoroughness, and follow through Skill and experience with data analysis and large data sets Strong interpersonal and communication skills to convey project goals, requirements, and results effectively and positively Comfortable working with college leadership on a frequent basis Ability to design, analyze and model business opportunities and processes Ability to work independently and meet deadlines Ability to prioritize and manage multiple tasks The hiring salary range for this position is $60,000.00 - $68,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting.

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story ' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR is currently seeking a Data Center Project Manager to join one of the largest, fastest growing, and comprehensive TMT (Tech, Media and Telecom) practices in the industry Opportunities are available in these preferred locations: US: Atlanta, Austin, Bellevue, Boise, Charlotte, Chicago, Columbus, Dallas, Denver, Houston, Kansas City, Las Vegas, Los Angeles, Minneapolis, Newark, New York, Omaha, Orlando, Pennington, Phoenix, Pittsburgh, Portland, Raleigh, Sacramento/Folsom, Salt Lake City, San Antonio, Walnut Creek. UK: London, Manchester, Glasgow Primary Responsibilities HDR is looking for a project manager whose experience focuses on client development and delivery of data center projects. The ideal candidate should have a proven background in successfully delivering various data center and mission critical projects ranging from upfront planning and pre-design activities through detail design, construction support and commissioning. In additional to managing and delivering projects (which is the primary focus of this role), the successful candidate must possess the drive, experience and charisma needed to develop and secure work from a robust global client base and expand upon HDR's reputation within these markets. This individual will manage multi-disciplinary design teams from project conception to completion. Keen focus on organizational skills and follow-through are required to be successful in this role. This person will work closely with the Regional Building Engineering Services Business Group Managers as well as our global TMT client management team. Some travel to client sites or other HDR offices is required. Additional Duties include: Mentoring/Managing: Help grow a team that works together to create a collaborative environment that promotes career growth, the production of high-quality construction documents, client satisfaction, and acts as a safety net for each other. Coordinate the work of multidiscipline design teams. Mentor, organize, and facilitate the growth of staff. Coordinate workload through the entire project development to complete documents on schedule. Mission Critical staff recruiting and retention. Marketing: Establish client relations, and participate in marketing, design, and production meetings. Assist Marketing and Business Development groups in developing fee proposals and scope of work documents. Promote HDR through regular client interface. Collaborate on development strategies, new business prospects, technical services, quality, and production methods and standards, to achieve the established goals and objectives of the business group, region and company. Technical: Ensure product deliverables meet quality standards. Manage and lead project teams to ensure successful project delivery and client satisfaction. Control project quality, schedule, scope, and budget. Forecasting, invoicing, and contract management. Create vital proposal content including scope, schedule, and budget. Assist HDR in interview and interview preparation/presentations. Work cooperatively with local office leads, other business groups, technical directors and marketing managers. Perform other duties as needed. Travel: Some travel to job sites or other HDR offices could be required. This would be communicated in advance to give adequate coordination time with project work and personal life. Preferred Qualifications Minimum of 5 years leadership experience in the areas of site programming, project planning, design, construction and/or commissioning Previous Data Center/Mission Critical experience an architectural/engineering, or engineering consulting firm is desired. Strong desire to stay current with the trends of the fast-paced industry of mission critical. Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills Working knowledge of the following standards: Uptime Topology standards, ASHRAE TC 9.9, and the ISO standards regarding PUE, CUE, and WUE. Working knowledge of Newforma Project Center and/or ProjectWise Document Management Software Excellent organizational and communication skills Strongly motivated and showing professional initiative. Focused on client outcomes. Working knowledge of current industry standards Strong organizational and time management skills to effectively work on multiple projects simultaneously. #LI-BM1 Required Qualifications Bachelor's degree in related field 7 years related experience A minimum of 2 years project management experience Must have the ability to interact with various design teams, have excellent organizational, project management and communication (both written and verbal) skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

Jun Group is a technology company building a world where consumers are in control of their data and advertisers can reach them directly. Intelligent advertising that inspires trust is our guiding principle. We're passionate about making advertising better for everyone through our consent-based approach that empowers the world's largest publishers, brands, and agencies to achieve their goals with integrity, transparency, and peace-of-mind. We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States. Responsibilities include Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients Work with our DevOps team to create monitoring which ensures data integrity Experiment with new tech to find the right tool for the job Use Kanban to manage multiple releases per week Maintain high code quality through code reviews and automated tests Here are a few indicators that you're the right person You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks You want to be part of a small team inside a large company with massive opportunity for growth You enjoy collaboration with other teams including product, biz dev, and our in-house QA team You eagerly dig into complex engineering problems Preferred skills and experience 2+ years of relevant work experience You have built customer-facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster Familiarity with Google Cloud or AWS big data products Some company benefits include Competitive Pay Hybrid Work Life Health, Dental, and Vision Insurance Mental Health Resources Volunteer Opportunities Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week. Salary Range: $80,000 - $100,000, plus incentive pay We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords. Communications regarding your application will only come from @jungroup.com or @hyprmx.com email addresses.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director 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. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms 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: $155,000 - $410,000, 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

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place. What we Offer This position is responsible for implementing new and managing existing products in the Specialty Films product portfolio from an SAP operational data and product safety/compliance perspectives. The incumbent is responsible for developing, creating and managing product related data and processes in addition to modifying /programming the various systems / databases. Major Tasks & Responsibilities: Set up and management of material master data for raw materials, intermediates, and finished good products in the various systems including but not limited to: GSLO, PARIS, NMR, P1P, JTS/Product Management Database, etc. Processes steps for complex, multi-step products such as multi-layer films, slit/sheet films, coated films, and tolling operations. Maintains the P1P variant configuration tables for configurable products. Works with Production and Controlling to determine the appropriate units of measures, conversion factors, BOMs, routings, work centers, and manages the data in the system. Works with global Film SAP experts (from both business and O& I teams) to implement modifications and improvements to the system/processes to satisfy film business requirements and to increase efficiency and effectiveness of the system/processes. Supports customer related master data for SF NA such as reviewing Tableau/C4C dashboards and implements changes to improve the data quality for the business Support production at the South Deerfield site for material consumption Support site MES project and other project support as needed What you Offer Basic Qualifications Bachelor's degree in technical field required with 1 year experience in technical development, product development, or related function or 10+ years' experience with a film or sheet product development/ SAP master data. Preferred Qualifications Knowledge of TPU/PC film products, markets, applications and customers highly preferred. Strong computer proficiency a must, with SAP knowledge highly preferred YOUR APPLICATION Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now! Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law. Contact Us Info-Hotline: +1 844-522-6775 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this site as a result of your disability. To make a request, please call (412) 413-2736.

At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! The PitchBook Product team is seeking a leader to join our Data Strategy team. This leader will be responsible for setting the direction and driving results for credit data at PitchBook. This requires a deep understanding and experience with credit markets, particularly in how credit data is collected, captured, displayed, and used by clients. You will work closely with our Data Operations, Technology, Marketing, Sales, and other Product teams to define the product strategy, develop roadmaps, and drive new user engagement through delivering intuitive and seamless product improvements. Primary Job Responsibilities: Be the authoritative point person on your dataset, demonstrating exceptional knowledge of the data and capabilities needed by our clients Manage and develop a high-performing team of analysts, fostering a culture of collaboration, accountability, and continuous improvement Actively define the product roadmap for your dataset, prioritize the backlog, and create business cases to outline new strategic product opportunities Champion client needs, pain points, and business opportunities across the organization and develop a shared understanding of the product area vision Compile market intelligence on the competitive position of your dataset and driving internal communication of those findings throughout the organization Work closely with the Data Operations team in Mumbai, helping to set and hit quality, efficiency, and timeliness goals needed for the success of your dataset Communicate effectively and efficiently with your team and other stakeholders to provide updates on project progress, address roadblocks, and celebrate wins Provide training and ramping support to new members of the team, both locally and abroad Act as a subject matter expert on calls with clients and prospects when required Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor's degree with strong academic performance in Computer Science, Math, Statistics, Finance, Accounting, or related field. CFA charter holder strongly preferred 10+ years of previous experience with credit markets 5+ years in a leadership roles, managing teams and leading strategic initiatives Exemplary verbal and written communication skills and comfortable engaging with a diverse array of audiences Self-motivated and goal-oriented attitude and can work effectively as an individual or as part of a team Strong bias for action and willingness to roll up your sleeves and do what is necessary to meet team goals Ability to leverage analytics and data to drive product decision making Interest in financial markets or services Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $175,000-$200,000 Target annual bonus percentage: 15% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1

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

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers. What You'll Do As a Data Scientist focused on Product Analytics, you will work closely with Product, Engineering, and Customer Success teams to understand the interactions between product engagement, customer retention, and overall customer growth. Your work will be instrumental in shaping product decisions by uncovering insights into how customers interact with Brex's platform, identifying opportunities to refine the product experience, optimize user workflows, and introduce impactful changes that increase long-term customer value and drive sustainable revenue growth. The ideal candidate has experience leveraging product intuition and advanced analytics to understand customer behavior, measure product impact on revenue retention and growth, and derive insights through causal inference and predictive modeling. They should also have a strong ability to translate data insights into actionable recommendations for product and business teams. Where you'll work This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year. Responsibilities: Develop and apply data-driven methodologies to analyze customer behavior, retention trends, and product adoption, focusing on how product changes impact long-term customer value. Design and implement predictive models, causal inference methods, as well as experimentation strategies to measure and optimize the effect of product changes on customer growth and engagement. Partner with Product, Engineering, and Customer Success teams to identify key opportunities for improving customer engagement and long-term retention. Collaborate with Data Engineering to build scalable data pipelines that support product analytics and reporting. Clearly communicate findings and strategic recommendations to both technical and non-technical stakeholders. Requirements: Master's degree or Ph.D. in Statistics, Computer Science, Economics, or a related quantitative field. 3+ years of experience in a data science, analytics, or related role focused on product analytics. Strong experience with SQL and Python (or R) for data analysis and modeling. Proficiency in A/B testing methodologies, causal inference, and predictive modeling. Ability to translate complex data insights into strategic business recommendations. Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices. Strong problem-solving skills and the ability to work in a fast-paced, cross-functional environment. Bonus Points: Experience working in B2B SaaS or fintech. Experience in developing frameworks to measure feature adoption and identifying product opportunities that drive customer lifetime value. Familiarity with product analytics tools (e.g., Amplitude, StatSig). Compensation The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.