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

ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Architect. This resource lead the design and implementation of a robust, scalable, and secure data lake architecture to support advanced analytics and AI/ML initiatives to a government agency committed to improving child welfare. The ICF team performs custom software development, analytics, and maintenance on a suite of web-based applications, and works closely with clients and other contractors to ensure the performance and reliability of public-facing, mission-critical applications. Based on your experiences and interests, we may ask you as a technology professional to support growth-related activities, including (but not limited to) RFI, RFP, prototypes, and oral presentations. Team members are also expected to uphold and maintain appropriate certifications necessary for their practice expertise. Job Location: This is a fully remote position; however, the role is tied to the Washington, DC Metro area due to team requirements. Occasional in-person meetings may be required. An in-person interview may be required and candidates must reside within 50 miles of the Washington, DC Metro Area to be considered. What you'll be doing: Lead the architecture and design of an enterprise-scale AWS-based data lake and data integration ecosystem to support advanced analytics and AI/ML initiatives. Define and enforce data modeling, metadata, data lineage, and data governance standards to support analytics and machine learning workflows Establish best practices in data architecture, including schema design, data normalization, and optimal format selection (e.g., Parquet, JSON) Work with cross-functional teams to define data ingestion, transformation, and curation strategies aligned with AI/ML use cases. Collaborate across teams to design scalable, secure and cost-efficient data architectures that support analytics and machine learning needs. Guide the selection and use of AWS services (e.g., Glue, S3, Lake Formation, Redshift, Athena, Step Functions) and integration tools (e.g., Kafka, Informatica, Talend). Mentor technical teams on architectural standards, data modeling practices, and modern cloud-native data design patterns. Support project delivery on Data Lake, Data Warehouse and BI projects for external and internal clients, including partnering with ICF subject matter experts on project execution What you must have: Bachelor's degree 8+ years of experience in data architecture, data engineering, or enterprise data management. 3+ years of experience designing and implementing cloud-native data solutions in AWS, including services such as Glue, S3, Athena, Redshift, Lake Formation, Step Functions, and Lambda. Experience in data modeling, metadata management, and data governance frameworks. Understand ETL concepts of data flow, data enrichment, data consolidation, change data capture and transformation Hands-on experience architecting data lakes, data warehouses, and real-time data pipelines. Experience working with databases and BI tools such as Tableau, PowerBI , Microsoft SQL Server Reporting Services Proficiency in SQL, Python, and working knowledge of big data tools such as Spark, Kafka, or AWS Kinesis. Knowledge of DevOps tools like Jenkins/Git to assist development process Excellent communication and leadership skills; ability to collaborate across technical and non-technical teams. Must be able to obtain and maintain a Public Trust MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply What we'd like you to have: Familiarity with data privacy, security, and compliance frameworks in regulated environments. Background in supporting data science, BI, or AI/ML product teams. AWS Certification (Solutions Architect, Data Analytics, or Big Data Specialty). Knowledge of integration tools such as Storm, and Spark, AWS Kinesis, Kafka a plus Familiarity with multi-cloud environments (e.g., Azure or GCP) is a plus. #LI-CC1 #Indeed Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $89,203.00 - $151,646.00 Nationwide Remote Office (US99)

At Airtable, we're passionate about democratizing software creation-empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale. As one of the data engineers at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions. What you'll do Work between our engineering organization and stakeholders from our data science, growth, sales, marketing, and product teams, to understand the data needs of the business and produce pipelines, data marts, and other data solutions that enable better product and growth decision-making. Design and update our foundational business tables in order to simplify analysis across the entire company. Continue to improve the performance and reliability of our data warehouse. Build and enforce a pattern language across our data stack, ensuring that our data pipelines and tables are consistent, accurate, and well-understood. Who you are You have 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow. You've wrangled enough data to understand how often the complex systems that produce data can go wrong. You are proficient in at least one programming language (preferably Python), and are willing to become effective in others as needed to get your job done. You are highly effective with SQL and understand how to write and tune complex queries. You're passionate and thoughtful about building systems that enhance human understanding. You communicate with clarity and precision in written form; experience communicating with graphs and plots.

Description:As part of the Lockheed Martin Aeronautics Global Supply Chain AI/ML Team you will play a key role in developing, deploying, and maintaining AI-based solutions tailored for Supply Chain. This position focuses on applying advanced artificial intelligence techniques to solve complex Supply Chain challenges, delivering impactful results that enhance efficiency and drive productivity. This position will be responsible for overseeing development and deployment of the AI solutions for Supply Chain operations for all Aero Sites as well as in-depth collaboration with other Lockheed Business Areas. What You Will be Doing: Lead and implement robust software development practices to ensure quality, scalability, and sustainability of AI solutions. Engage in requirements gathering to understand production operations challenges, capturing critical details to inform solution design. Design, develop, and test AI applications tailored to address supply chain use cases. Oversee solution deployment and user training, ensuring seamless integration and practical usability. Drive change management initiatives by working closely with users to promote adoption and adaptability of new AI solutions. Champion software sustainability, ensuring that AI solutions remain reliable, adaptable, and future-ready. In this role, your expertise in artificial intelligence will directly support Lockheed Martin's Global Supply Chain, optimizing processes and improving efficiency across the organization. As part of the Lockheed Martin Aeronautics Operations Simulation and Modeling team, you will play a key role in developing, deploying, and maintaining AI-based solutions tailored for production operations. This position focuses on applying advanced artificial intelligence techniques to solve complex operational challenges, delivering impactful results that enhance efficiency and drive productivity. This Lead position will be responsible for overseeing development and deployment of the AI solutions for manufacturing operations for the Marietta and Greenville sites. What You Will Be Doing: Lead and implement robust software development practices to ensure quality, scalability, and sustainability of AI solutions. Engage in requirements gathering to understand production operations challenges, capturing critical details to inform solution design. Design, develop, and test AI applications tailored to address production operations use cases. Oversee solution deployment and user training, ensuring seamless integration and practical usability. Drive change management initiatives by working closely with users to promote adoption and adaptability of new AI solutions. Champion software sustainability, ensuring that AI solutions remain reliable, adaptable, and future-ready. In this role, your expertise in artificial intelligence will directly support Lockheed Martin's production operations, optimizing processes and improving efficiency across the organization. What's In It For You: 3 day weekends every weekend! From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Basic qualifications (BQs) are the minimum requirements for a candidate to be considered for a position, 3 to 5 BQs are most effective. For additional Hiring Manager Training Resources, Learn more about basic qualifications here. AeroSCM Basic Qualifications: Bachelors degree from an accredited college Extensive knowledge of AI/ML fundamentals Demonstrated experience with AI application development Firm understanding of software development practices - style enforcement, standard testing, software quality, code reviews, etc. Willingness to travel Masters degree from an accredited college in a Computer Science, Software Engineering or related discipline Experience with unit tests, style guides, code reviews, CI/CD pipelines Experience with jenkins, gitdocs, docker Experience with large language models and natural language processing Experience with AI development tools and processes- Experience with deep learning libraries to train and build new models Experience with NumPy, OpenCV, Scikit, Pandas, SciPy, etc. Experience with Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD], unit testing frameworks (e.g., Pytest, Unittest) Experience with aircraft manufacturing processes Strong organization and communication skills Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $136,500 - $236,555. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $118,700 - $209,300. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: AERONAUTICS COMPANY Relocation Available: Possible Career Area: Purchasing/Procurement/Supply Chain Type: Full-Time Shift: First

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will engage in sophisticated data analytics, data modeling, and data technology product development to further the strategic goals of Vizient's Data Operations Technology team. You will utilize programming tools and your experiences with health care data to explore health care informatics challenges and to explore opportunities to create novel and reliable analyses/models/applications. You will steadily grow your domain knowledge and expertise with health care interoperability standards, application programming interfaces (APIs), business intelligence (BI) applications, electronic health record (EHR) systems, and enterprise resource planning (ERP) systems. You will engage directly with internal and client stakeholders to understand analysis needs, gather development requirements, provide demonstrations, and present results. Responsibilities: Use programming tools to translate business requirements into analytics, models, and applications. Generate hypotheses and analyze data to test and interpret results. Design and develop data models using machine learning and artificial intelligence tools. Identify improvement opportunities in data reporting, analytics, and processing tools, and collaborate with Vizient Technology staff to implement enhancements. Collaborate with leaders and clinicians to build analytics and informatics acumen across the organization. Communicate findings from exploratory and predictive data analysis to administrative and clinical leaders for specific projects. Leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions. Demonstrate functionally diverse utilization of relevant core programming tools with R, Python, and SQL. Apply task-specific mindset to address data science insights, breaking down aspects of solutions to define scope and make decisions supporting data science projects Create clear, concise, and organized communication materials including policies and procedures, guidelines, presentations, and messages. Use advanced analytical models and tools to analyze and understand big data sets. Identify and logically structure key issues and findings. Qualifications: Advanced degree preferred in applied math, statistics, computer science, econometrics, or related field. 5 or more years of experience managing large disparate data sets and using quantitative and qualitative analysis to draw meaningful and valid insights required. 3 or more years of programming experience using Python and R required. Expertise managing and analyzing large payer-sourced and provider-sourced claims data required. Knowledge of encounter and care delivery logics, geospatial logic and proxies, and payment methodologies required. Experience effectively communicating and presenting data to a variety of audiences required. Experience in developing, implementing, and validating synthetic datasets for analysis. Familiar with cloud computing environments, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform highly preferred. Familiar with health interoperability data standards such as HL7 and FHIR highly preferred. Experience working with health care administrative claims data or electronic medical record data tools highly preferred. Experience with MS SQL and with APIs preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Job Description DPR Construction is seeking a project executive with at least 15 years of commercial construction experience. Individual will be ultimately responsible for business development, contract negotiations, insurance requirements and the high-level execution, project controls, project engineering, cost, risk and business management of a single project or multiple projects. Management will be of commercial projects within our core market of advanced technology (data centers). Project executives will work closely with all members of the project team and regional leadership teams and will be responsible for the following: Management of all project team members (project managers, project engineers, superintendents, and field office coordinator).Project teams could range from 10-50 employees. Mentor, develop and train team members for fast-paced growth. 100% detailed/hands-on knowledge of project requirements and deliverables. Demonstrated understanding of building processes and systems. Cost control/billings/Collections/Change Management/Monthly Status Reports Work duties require complete understanding of cost estimating, budgeting and forecasting. Key point of contact with owner and architect, Challenge and support jobsite and self-perform work team. Accountable for project completion and financials, critical success factors, and customer satisfaction results. Actively participate in regional operations (staffing, business planning, preconstruction efforts, etc.). Qualifications We are looking for a flexible, detail-oriented team player with the ability to manage multiple tasks, manage project teams, produce quality work, and consistently meet deadlines. The successful candidate will possess: Excellent listening skills and strong communication skills. Ability to mentor others and lead by example. Ability to identify and resolve complex issues. Ability to create and support team morale. Proficient computer skills in Microsoft Office Suite, project management software (Prolog or similar), accounting cost management software (CMIC or similar), and scheduling software (Primavera or similar). 15+ years of experience in the project management/executive role, preferably within DPR's core markets. Bachelor's degree in construction management, engineering or related field. A strong work ethic and a "can-do" attitude. This position is salaried. #LI-DF1 Anticipated starting pay range: $200,000.00- $275,000.00 Nothing is more important than your health and wellness. DPR offers a variety of medical, dental, vision and wellness benefits to keep you healthy. Read more about eligibility and available benefits programs for skilled craft and labor or experienced professionals and recent graduates. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Job Description In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale, CA or Austin, TX or be willing to relocate to these locations. This position may require travel within the US. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. At least 7 years of experience in Information Technology Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data Strong experience using Python, Advanced SQL and PySpark Preferred Qualifications: Advanced degree with Master's or above in in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns) Knowledge of Machine Learning techniques 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. Estimated annual compensation range for candidate based in the below locations will be - Sunnyvale, CA - $104,153 to $173,693 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

About Oliver Wyman Vector Oliver Wyman Vector offers top-tier technical consulting and services to the aviation, aerospace, defense, and rail sectors worldwide. Our experienced team, part of the Oliver Wyman Transportation and Services Practice, delivers impactful solutions to complex industry challenges. Oliver Wyman Vector is looking for an entry level Aerospace, Defense and Government (ADG) Data Analyst to work in our Atlanta office. This role plays a critical part in supporting Oliver Wyman Vector's efforts to develop and execute projects for our clients as well as providing analytical support to our business unit. Visit our website for more details about our company: https://oliverwyman.com/vector Job specification Job title: Data Analyst Department: Aerospace, Defense & Government Office/region: Atlanta, Georgia Salary Range: $80 - $85k Job Overview: Oliver Wyman Vector (Vector) provides technical consulting and services to the aviation, rail and energy sectors. The Aerospace Defense & Government team develops and executes highly complex work scopes for our clients across a large range of domains. The ADG Data Analyst will be a key client-facing resource focused on supporting the project execution subject matter expert team with technical and analytic support. The Data Analyst will also support the ADG VP team with business performance and market intelligence support. Key Responsibilities: Become familiar with commercial and military aerospace and defense issues and trends Support the ADG team by analyzing how aerospace commercial best practices have quantifiable applicability in defense applications Understand the application of information security frameworks associated with CMMC and NIST 800-171 to projects involving CUI data Undertake complex quantitative, qualitative, strategic and financial analysis through a variety of activities which include: Primary and secondary research Benchmarking Model building Analyzing client data Evaluating improvement initiatives Manipulate large amounts of data and present findings in a structured, cohesive manner Assist in developing and maintaining Oliver Wyman's commercial air transport forecast models Assist in long-term client engagements focused on system transformation Assist in developing client deliverables Assist in developing internal and public facing presentations for Vector and Oliver Wyman Assist in developing internal and public facing publications for Vector and Oliver Wyman Assist in developing full articles and interview responses for commercial aviation magazines and journals from around the world Working closely and productively within teams to achieve established goals Be comfortable working in situations that are ambiguous and highly complex Education and Experience Required: Bachelor's Degree in Engineering or Data Science required Direct experience via Co-op or Internship with aviation environments and data preferred Advanced experience with Microsoft Office Suite (Excel and PowerPoint in particular) Advanced experience with Python, R and SQL required Hands on experience with Cloud data environments and ETL processes preferred US Citizen with the ability to hold a security clearance required Skills and Attributes: Excellent verbal, interpersonal and written communication skills Strong analytical, problem solving and decision-making skills Ability to multi-task in a fast-paced environment Strong interest in the aviation industry Effective time management and organization skills Customer service oriented with ability to adapt to a fast paced & changing work environment Must be able to interface professionally, credibly and objectively with colleagues and clients Team player Self-directed and willing to take initiative Resourceful; able to solve problems with minimal supervision Exhibits attention to detail and is a champion for accuracy and quality Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. 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 oliverwyman.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. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Job Title: Senior Architect - Data Platform & Infrastructure Job Description: F5 is seeking a Senior Architect for Data Platform & Infrastructure to define and lead the architecture, design, and evolution of core big data systems supporting analytics, machine learning, security detections, and product intelligence across all F5 platforms. This role is responsible for the design of scalable, resilient, and secure data infrastructure-encompassing storage systems, data pipelines, stream processing frameworks, and foundational data services. You will: Define the cross-platform architecture strategy for data platforms, ensuring consistency, scalability, and performance across SaaS, appliances, and cloud-native services. Guide the evolution of data ingestion, batch and streaming pipelines, data lake and warehouse design, and foundational platform services for data processing. Ensure clean separation between core data infrastructure and telemetry pipelines while enabling consistent, high-quality data capabilities across the company. Partner with product and engineering leadership to align data architecture with long-term business goals, analytics capabilities, and ML initiatives. Evaluate emerging data technologies and paradigms for inclusion in F5's data platform stack. Participate in cross-functional design projects and roadmap planning, contributing expertise in data engineering and platform design. Mentor and guide engineers and technical leads, instilling architectural best practices and data governance principles across multiple teams. Evaluate emerging technologies and paradigms for inclusion in our architecture. Represent architecture in planning forums, contributing to roadmap prioritization and long-range technical strategy and roadmap. Job Duties and Responsibilities: Develop and maintain reference architectures, design documents, and reusable frameworks for data platform components. Drive technical evaluations, trade-off analyses, and architecture reviews for batch and stream processing systems, storage layers, and data APIs. Identify emerging technologies and frameworks and recommend adoption where impactful. Oversee interoperability and lifecycle management strategies for data systems spanning cloud, edge, and on-premise deployments. Engage with product teams to define scalable, secure, and efficient data processing capabilities supporting product features and internal analytics. Lead data governance efforts including data cataloging, lineage, privacy considerations, and access controls. Document and record architecture decisions, design patterns, and operational considerations for data platform systems. Planning, tracking, and scheduling data platform deliverables in collaboration with engineering leaders. Developing strong working relationships with stakeholders across Engineering, Security, Data Science, and Product Management. Skills and Qualifications: 12+ years of experience in software architecture and engineering, with at least 5 years focused on large-scale data platforms and infrastructure. Deep expertise in distributed data systems including data lakes, warehouses, streaming pipelines, and large-scale storage architectures. Experience designing and implementing batch and real-time data processing frameworks at scale. Proficiency with modern big data technologies and cloud-native data patterns. Experience designing multi-region, multi-tenant data systems with a focus on reliability, performance, and security. Strong understanding of data governance practices including lineage, cataloging, and compliance considerations. Proficiency in programming languages relevant to data engineering. Strong communication skills and ability to clearly articulate architecture decisions to technical and non-technical audiences. Extensive knowledge of the software development process and platform lifecycle management. Strong soft skills, including collaboration, influencing, and mentoring across teams. The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. The annual base pay for this position is: $268,800.00 - $403,200.00 F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5's differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: https://www.f5.com/company/careers/benefits . F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com). Equal Employment Opportunity It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today. JOB MISSION: New Balance is seeking a skilled and motivated Data Architect to join our eCommerce Engineering Team, specifically the Data workstream, within the Global Direct-to-Consumer organization. The Data team is responsible for the implementation and design of data pipelines, ecommerce site tags, tools to ingest data from eCommerce and Retail systems into our data repositories, and visualization of data to help stakeholders (business owners, product owners, and management) make data-driven decisions on how best to run the omni-channel business and serve our consumers within their regional markets and worldwide. At New Balance, we seek active learners who love to use technology to solve challenging problems. You will be working with modern technologies and frameworks, collaborating with the team to help position New Balance as an innovator for years to come. The role can be based out of our St Louis MO or Brighton MA office. MAJOR ACCOUNTABILITIES: Design and develop data pipelines, payloads, schemas, and models populated by consumer behavioral data between various systems and services. Identify internal and external data sources for consumer behavior, business metrics, and other key indicators needed by ecommerce and retail stakeholders. Work within a cross-functional agile team to implement site tagging, data gathering, aggregation, and visualization. Collaborate with agile teams to identify data needs for user features and ecommerce business enhancements. Champion a culture of strong data usage, privacy, compliance, resiliency, integrity, and reliability across teams and stakeholders. Contribute across all phases of the software development lifecycle in a Scaled Agile Framework (SAFe): planning, design, implementation, deployment, operations, and support. Communicate effectively with associates and business contacts, promoting a strong sense of teamwork. Build globally scalable templates for data gathering and visualization. Inform stakeholder direction and data practices to enable informed, data-driven decisions for ecommerce and retail operations. Provide regular updates to management and architects on project status, risks, and technology issues, and propose suitable alternatives. Offer assessments and recommendations on the design of data systems, tools, and vendors within the omni-channel data space. REQUIREMENTS FOR SUCCESS: Minimum 7 years of experience in data architecture, science, engineering, or a related field in the software engineering space. Experience with data visualization tools such as Power BI. Experience designing data schemas and pipelines using custom code or low-code/no-code platforms. Experience with data lakes and repositories such as Snowflake. Experience with tagging and data gathering platforms such as Google Tag Manager and Tealium. Experience with analytics tools such as Adobe Analytics, Google Analytics, and Contentsquare. Bachelor's degree in Computer Science, Information Systems, or a related field-or equivalent professional experience. Strong understanding of omni-channel, direct-to-consumer businesses and organizations. Experience using AI-powered productivity tools such as GitHub Copilot and Microsoft Copilot. Knowledge of data privacy and relevant legislation (e.g., GDPR, CCPA). Strong written and verbal communication skills; collaborative team player. Commitment to standards, policies, and procedures to ensure high-quality, maintainable solutions. Excellent problem-solving and decision-making abilities with sound judgment. Experience working in an agile environment, especially Scaled Agile Framework (SAFe). Experience working with globally distributed teams. Regular Associate Benefits Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks - opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs - that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword - it's part of our culture. Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount. Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced "Work from Anywhere" (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility. Equal Opportunity Employer New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.

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

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

THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a Data Center Cx PM will include: Working with project teams at client sites to inspect, test, and troubleshoot data center/ building commissioning facilities and/ or equipment. This person is responsible for identifying and coordinating activities for commissioning and reporting. The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it. Electrical and/or Mechanical commissioning experience is required. Requirements include: Position Requirements: BS in an electrical, mechanical, engineering field or equivalent experience 12+ years or more of experience in commissioning and qualification in the Data Center industry, Leading large (minimum of 4 megawatts) projects/facilities. Comfort in the Construction industry (managing vendors, clients, subcontractors) is a plus. Experience with commissioning plans/test scripts, schedules, budgets, change orders and summary reports is desired. Experience managing multi-disciplinary teams with full commissioning responsibility is desired. Other Requirements: Excellent oral and written communication skills in English Able to travel domestically and internationally as required Able to work (paid) overtime Able to work in the US without sponsorship now or any time in the future. About CAI CAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries. Are You Ready? Our approach is simple; we put the client's interests first, we do not stop until it is right, and we will do whatever it takes to get there. As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally: We act with integrity We serve each other We serve society We work for our future With employee ownership, one person's success is everyone's success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially. Benefits Our full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company. CAI Operations DCx Managers will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services. #LI-MV1 #MISSIONCRITICAL $128,300 - $150,800 a year Average salary range, not including benefits or compensatory time and possible discretionary bonuses. CAI Benefits: Comprehensive Health Insurance coverage 24 days of Paid Time Off ESOP/401K - 15% Company Contribution (US Only) Company paid Life Insurance Company paid Long Term Disability We are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our customers, and the broader society. This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO).

About the Role: IT has a track record of success with interns across their various teams, all who have the ability to directly contribute to the success of the department. Interns apply knowledge gained in the classroom to develop relevant professional experience while creating meaningful relationships. We look for highly motivated individuals who are proactive, eager to learn and ready to contribute. Our IT Data & Analytics Team works collaboratively to build and deliver data solutions for our clients in a continuous learning environment. IT Data & Analytics interns will assist in architecting successful data solutions, delivering value, problem solving and managing changing priorities on key projects. This is a hybrid internship, working three days per week in our downtown Milwaukee, WI office or downtown Madison, WI office and two days remote. The intern must be able to work full time during the summer, 37.5-40 hours per week, and work part time during the school semesters, 15-20 hours per week. We are seeking a local student who can start in May 2026. The Impact You'll Make: Focus on data analytics, profiling, modeling, visualization, data integration and delivery Gain exposure to critical business data problems that help drive decisions Be embedded in our Data & Analytics team to deliver data solutions for clients Experience Baird's collaborative culture that values diverse backgrounds and perspectives through teamwork and a strong sense of partnership by shadowing and mentorship from experienced team members and leaders What You'll Bring to Baird: Pursuing an associate's or bachelor's degree in data science, data analytics, computer science, computer engineering, information systems, information technology management, business analytics or related degree Anticipated graduation date of May 2027 or later Experience with data analysis, data profiling, data modeling, SQL, SSIS (or other ETL development tools is a plus) General interest and passion for data Possess a natural curiosity in understanding the application of technology and data to solve business problems Organizational excellence, with the capacity to manage multiple priorities, demonstrate strong attention to detail and ensure high-quality and on-time delivery High level of motivation, proactivity and strategic thinking, with a strong commitment to learning and contributing effectively About Our Intern Program: Jumpstart your career with Baird's high-impact summer intern program! You'll gain real-world experience, connect with inspiring leaders and grow through hands-on projects, mentorship and dynamic events. From our Intern Welcome and Baird Gives Back Day to firmwide networking and professional development, you'll be part of a vibrant, collaborative culture that values your voice and fuels your future. Baird is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status. #LI-DNI Baird is committed to diversity and provides employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, pregnancy, citizenship, national origin, age, disability, military service, veteran status, sexual orientation, gender identity or expression, genetic information, or any other status protected by law.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData: YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters: You'll lead high-impact projects with real business outcomes Rapid Growth: We compress years of learning into months Merit Over Titles: Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for. About the Role: We're seeking a highly motivated, team-oriented Data Lead to drive data strategy and execution across a best-in-class portfolio of data products. In this role, you'll report to our Head of Data and split your time between owning challenging analytical work and guiding a team of data analysts to build and deliver top-tier data products. This is a high-impact role for someone who thrives on ownership, collaboration, and delivering measurable value. Those with strong analytical skills who are excited to lead teams, build and optimize data workflows, and partner cross-functionally to shape and execute on product strategy are encouraged to apply. As a Data Lead, You Will: Own data strategy and execution for a portfolio of high-impact data products for investors, driving product success through a focus on accuracy, client value, and efficiency and partnering closely with research and commercial leaders to set and hit ambitious targets Operate as a player-coach, setting a high bar for quality, speed, and innovation while coaching, empowering, and inspiring your team to do their best work. Work with massive amounts of data to help answer investor key questions about the sectors we cover and datasets we analyze. You will learn about our proprietary methods and techniques to ensure data accuracy and derive key insights. Tackle complex data problems, using your analytical skills to optimize methodologies, test new datasets, and solve data-related problems that require innovative solutions Drive standardization, simplification, and improvements to our data pipelines and workflows to minimize risk and maximize efficiency and value Partner cross-functionally with other teams, including Research and Engineering, to uncover and execute on opportunities to further drive customer value and optimize our processes and pipelines You Are Likely To Succeed If: You have 5+ years of experience in data analytics, forecasting, or business intelligence, including 1-2 years in a management or lead capacity You have 3+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Proficiency with GitHub and familiarity with Databricks You have strong communication skills and are able to work and project manage effectively with stakeholders across both technical and non-technical teams You excel at approaching complex problems logically and decisively, and take pride in implementing scalable solutions You have a strong ownership and entrepreneurial mentality and are enthusiastic about working with others to make a big impact Preferred: You've worked in or alongside capital markets, investment research, or financial services. What We Offer: Our compensation package includes comprehensive benefits and perks, equity, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, an open vacation policy, a generous 401K match, parental leave, team events, a wellness and work-from-home budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you make, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to self-improve and master their skills in an environment focused on ownership, respect, and trust. The annual base salary for this position is anticipated to be up to $150,000. In addition, the role includes a 10% variable commission, bringing the estimated on-target earnings (OTE) to approximately $165,000-$175,000. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. Job Applicant Privacy Notice

Description:What You Will Be Doing: LM Aero's Digital Sustainment & Analytics (DSA) team is seeking a highly skilled and experienced Data Architect to join our team. The successful candidate will be responsible for designing, implementing, and maintaining a comprehensive data architecture, ensuring that it is aligned with the organization's current and future business goals and objectives. The Data Architect will play a key role in developing and maintaining a robust, scalable, and secure data environment that supports business intelligence, analytics, and data-driven decision-making. Reporting to the Digital Sustainment & Analytics (DSA) Director, the selected candidate will forge close partnerships with internal and external stakeholders, peers, architects, customers, and leaders across Sustainment Operations (SO), Sustainment Integration Offices (IOs), the Program Management Offices (PMOs), Capability Delivery System (CDS) Directorates, Digital Transformation Office/1LMX professionals, Information Technology (IT) and Enterprise Ops engineers, as well as other LM Aero organizations to lead and/or set the necessary sustainment data strategy, roadmaps, architecture, design, performance metrics, and technical baseline/implementation/integration approach(es) of the Sustainment Operations strategic data framework, Digital Transformation-level data strategies, and Sustainment modeling ecosystem. The Data Architect will be responsible for maintaining knowledge of current and developing data framework/ecosystem technologies, design, and analysis methodologies to achieve alignment across the F-35, Integrated Fighter Group (IFG), AMMM, and ADP platforms for Sustainment. The Data Architect will be accountable to execute against established technical requirements and within cost and schedule constraints including, but not limited to, the following key activities: Setting the architecture and data governance roadmap for Sustainment Digital Transformation Support sustainment functions by establishing data governance guidelines and metrics, assists with requirements definition/development, data strategies, interface definitions, and design reviews. Apply best practices for data architectures, models and technical artifacts and continuously improve data solutions. Collaborate with Product line owners, and data architects. In alignment with Enterprise Data Ecosystem, builds a Sustainment Data Governance Plan, including assignment of data stewards. Develop/Propose advanced data architecture strategies and roadmaps that leverage or mature the sustainment data architecture and are aligned with the sustainment architecture roadmap and new business strategies Uncovering and resolving technical / data issues associated with the development and implementation of external data/system accesses, the sustainment modeling ecosystem, and other key Digital Transformation projects while focusing on accomplishing long-range objectives. Serving as the top data consultant to executive management in long-range planning concerning new or projected areas of technical research and advancements. Identify and implement areas of process improvements for program policies and procedures Provide weekly status reports to executive management This position will have a direct relationship with the customer and will frequently engage with various program stakeholders across the enterprise. This position requires an ability to obtain a Secret/SAR clearance. What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here. We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Basic Qualifications: Bachelors degree in an engineering/technical discipline from an accredited college in a related data discipline, or equivalent experience/combined education. Experience with large scale data architecture, data engineering, API design, data framework generation, and/or modeling and simulation. Strong understanding of data architecture principles, data modeling, and data governance Experience with data warehousing, data lakes, data governance / metadata management, data integration and interoperability, and big data technologies Experience with cloud-based data platforms (e.g. AWS, Azure, Google Cloud) Knowledge of data science and machine learning concepts Proven development of information which extends knowledge in the Data Architecture field which formed the basis of newly developed concepts, theories, and products. Outstanding knowledge of and demonstrated ability surrounding data systems architecture and/or software engineering, logistics IT, and/or the DevSecOps lifecycle/processes. Ability to shape future growth, set strategy, and deploy across a large team. Able to obtain a SECRET/SAR clearance Desired Skills: Working knowledge of fifth generation fighter sortie generation lifecycle maintenance, supply, and mission planning/debrief processes. Proficiency in data modeling tools (e.g. ERwin, PowerDesigner) Experience with data pipeline and workflow tools (e.g. Apache NiFi, Apache Beam) Strong understanding of data security and data privacy principles Experience with containerization (e.g. Docker) and orchestration (e.g. Kubernetes) Certification in data architecture or related field (e.g. TOGAF, Data Architecture Certification) Exhibits an exceptional degree of ingenuity, creativity, and resourcefulness. Proven leadership of high performing teams and leading change in the organization. Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: AERONAUTICS COMPANY Relocation Available: Possible Career Area: Systems Architect Type: Full-Time Shift: First

Industry/Sector Not Applicable Specialism Oracle Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. 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. As part of the Business Application Consulting team you will design and implement innovative data architecture strategies that meet current and future business needs. As a Manager you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while driving project success and maintaining exceptional standards. This role offers the chance to enhance your leadership style, motivate and inspire others, and embrace technology and innovation to deliver remarkable results. Responsibilities Foster a culture of innovation and technology adoption within the team Analyze complex data systems to identify improvement opportunities Develop strategic plans that support team and client goals Encourage collaboration and open communication among team members What You Must Have Bachelor's Degree 7 years of experience What Sets You Apart Preferred field(s) of study: Computer Science, Computer and Information Science, Information Technology, Management Information Systems preferred Certification(s) preferred: AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, Oracle Cloud Infrastructure OCI, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate Demonstrating proficiency in data architecture strategies Developing and documenting data models and architecture guidelines Working with stakeholders to translate data requirements Building and optimizing ETL/ELT pipelines for data processing Implementing data integration solutions using cloud services Monitoring and troubleshooting data workflows for quality Knowledge of data governance and security practices 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

Job Description: This is a remote position, based in the US Applicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). We are unable to offer visa sponsorship for this role. The Opportunity As a People Data Scientist on the Workhuman iQ team, you'll join a vibrant, mission-driven analytics team where your work directly shapes how organizations recognize and support their people. You'll be immersed in an interdisciplinary environment-teaming up with industrial-organizational (I/O) psychologists, data scientists, and NLP experts-to transform recognition, language, and trend data into powerful, actionable insights. Built-in experimentation and innovation mean you'll continuously explore new analytical approaches and storytelling methods while contributing to thought leadership in the people analytics space. If you're passionate about people-centric data, eager to make a tangible impact through consulting-driven insights, and excited to grow your skills in machine learning and analytics, this is your opportunity to contribute meaningfully while advancing your career. What We Can Offer You At Workhuman, you won't just crunch numbers, you'll help reinvent how companies understand and elevate the human experience at work. Here's what you can expect: Impact at scale: Your work will touch millions of employees worldwide, influencing how organizations design cultures of recognition and belonging. Cutting-edge tools and data: Work with rich, real-world datasets that combine recognition activity, employee language, workplace trends, and organizational behavior metrics. Learning culture: Access continuous learning opportunities to sharpen your skills in statistics, machine learning, natural language processing, and I/O psychology principles. Collaboration that inspires: Partner with some of the brightest minds in data science, industrial-organizational psychology, HR technology, and product innovation. Thought leadership platform: Contribute to industry publications, speak at conferences, and shape the future of people analytics through research and insights. Growth and flexibility: Be part of a team that encourages curiosity, experimentation, and professional development as you build your career in the intersection of data science and organizational psychology. The Skills You Will Bring You're a curious problem-solver with a strong analytical foundation, consulting mindset, and a knack for turning complex behavioral and organizational data into clear, actionable insights. You bring: Technical skills: Proficiency in SQL, Python, and/or R for data manipulation, statistical analysis, and model development. Experience with visualization tools like Quicksight, Tableau, Looker, or Power BI. Machine learning and AI: Hands-on experience with machine learning techniques (supervised/unsupervised learning, predictive modeling, classification) and exposure to large language models (LLMs) for text analysis and natural language processing applications. Advanced analytics: Proficiency in statistical modeling, experimental design, A/B testing, and causal inference methods applied to organizational and behavioral data. Communication excellence: Ability to translate complex data into compelling stories for technical and non-technical audiences. Research and innovation mindset: Curiosity to experiment with cutting-edge methods, including deep learning, transformer models, advanced NLP techniques, and emerging AI technologies applied to organizational data. Collaboration skills: Strong interpersonal abilities to thrive in cross-functional teams spanning data science, HR, Product & Engineering, and Sales & Marketing. Quality focus: An eye for detail and commitment to producing high-quality, accurate work that meets consulting standards. Consulting experience: Background in internal or external consulting roles preferred. Must have demonstrated ability to translate analytical findings into strategic recommendations to non-technical audience. Educational foundation: Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Human Resources, Social Sciences (Psychology, Sociology, Anthropology), Statistics, Data Science, or related field is preferred. I/O psychology knowledge: Understanding of organizational psychology principles, employee motivation theories, workplace behavior patterns, and HR metrics is preferred. Achievements We're looking for candidates who can demonstrate a track record of: Applied analytical experience: Successfully applying statistical, machine learning, or I/O psychology methods to uncover actionable insights from complex organizational datasets, with demonstrated experience in predictive modeling and advanced analytics. Technical innovation: Building and deploying machine learning models, experimenting with LLMs for organizational text analysis, or developing novel analytical approaches using Python/R in production environments. Data visualization experience: Developing clear and compelling data visualizations and dashboards that simplify complex findings for diverse stakeholders. Cross-functional collaboration: Contributing to interdisciplinary projects where advanced analytics, combined with social science principles, drove measurable organizational outcomes. Continuous learning: Demonstrating growth in technical expertise through experimentation with new tools, methodologies (including AI/ML techniques), and I/O psychology research. Thank you for considering joining our team. We strive to create an inclusive and accessible application process for all candidates. If you encounter any difficulties or have specific accessibility requirements while applying for this position, please don't hesitate to reach out to us at globalrecruitment@workhuman.com for assistance. We are committed to ensuring equal access to opportunities for all individuals. The Company: At Workhuman our mission is to bring more humanity to the workplace. We recognise and embrace individuals' differences and believe that workforce diversity and inclusion are essential to our long-term growth and success. Even if you don't think you "check every single box" above, please still consider applying. We're looking for a human who is collaborative, and innovative with a growth mindset. We love what we do because we're shaping the future of work through our people and our technology. Our human cloud-based applications are helping some of the world's leading global brands connect culture to shared purpose. The Workhuman Cloud empowers employees to thank, talk and celebrate each other, creating an environment that sparks gratitude and human connection while increasing employee engagement and productivity. Did you know we have an award-winning culture across EMEA and North America: We were named as #5 Best Workplace in the Great Place to Work Awards in Ireland in 2022 in the large sized workplace category. We were also recognised as a Best Workplace for Women and a Best Workplace in Technology in 2020, 2021 and 2022. In 2021 we were named as #2 Best Workplace in Europe in the medium sized workplace category. We were also recognised as #2 Best Large Places to Work in Boston by Built In for 2023 as well as a Best Place to Work in Boston, U.S. Best Large Places to Work and U.S. Best Places to Work. There are currently over 7.5 million users on the Workhuman cloud across 180 countries. Our core values are Respect, Determination, Innovation and Imagination. Workhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based on solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.