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At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description SUMMARY The Customer Remediation Data Analyst in Consumer & Business Banking (CBB) Risk will participate in projects that require quality control, research, data compilation and analysis to ensure compliance with the bank's Customer Remediation Policy. The Analyst should have experience and a thorough understanding of the front-end systems (e.g. Hogan, CA-View, Fusion, Common Transactions, Safe Box Inquiry, Net-O, MSP, CACS, Doc Velocity) for the various business line processes. RESPONSIBILITIES Customer Remediation Support: The CBB Risk Data Team supports issue and business line management with research, data analysis, documentation and execution Credible Challenge: The CBB Risk Data Team accepts ownership of the data used within all CBB customer remediation events. This includes confirmation to front line systems for any data created internally or obtained from an external source and verification of any component required during validation. Maintain awareness of bank, regulatory, and industry changes and trends Responsibilities may also include contributing to CBB Risk Data Team projects or project implementation Perform other duties as assigned BASIC QUALIFICATIONS Seven to ten years of applicable experience Bachelor's degree or equivalent work experience PREFERRED SKILLS/EXPERIENCE Five years of experience with bank systems Five years in a reporting, analytics, or technology environment Strong problem-solving, process facilitation, project management, and analytical skills Excellent interpersonal, written, and verbal communication skills Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact CBB Advanced understanding of CBB products, services, systems, and associated risks/controls, as well as supporting operational functions SQL/SAS coding experience Python experience Advanced Excel computer skills and database knowledge Experience with SharePoint or TEAMS Comfortable working in a team environment with layers of required review/approval Ability to work in a fast-paced environment with large workloads The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com. To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE. About AppLovin's eCommerce Team AppLovin is the market leader in performance advertising for mobile games. In 2024, we expanded into the ecommerce space, enabling brands to reach 150M+ U.S. daily active users in a variety of mobile games-scale that rivals the largest social platforms. In Q4, we reached a $1 billion annual run rate in gross advertiser spend in the ecommerce category alone. Learn more about our fast-growing ecommerce beta: https://ecomm.applovin.com/ AppLovin's global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our customers around the world. We are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. About the Role AppLovin is looking for an intellectually curious, highly adaptable, and quick-learning Marketing Data Scientist to join our Product Partnerships team. In this role, you will learn and drive measurement strategy, help demonstrate the ROI and value of our platform, and develop best practices that accelerate growth for both our clients and our eCommerce advertising business. Reporting directly to the Head of Product Partnerships, you'll collaborate closely with research science, engineering, product, business development, and analytics teams, making a tangible impact from day one. Key Responsibilities Support client teams in developing strategic initiatives and "learning agendas" to enhance business outcomes through innovative measurement techniques. Assist internal and external stakeholders in adopting robust measurement practices to improve advertising effectiveness. Participate in designing tests and analyzing complex data sets to evaluate advertising effectiveness, covering direct response and brand impact. Conduct exploratory analysis and custom studies to assess marketing strategies, delivering clear insights for practical business applications. Collaborate cross-functionally (Product, Engineering, Business Development, Marketing) to identify opportunities for new features, products, and strategic partnerships. Translate complex data analyses into clear, actionable insights for diverse stakeholders through concise communication and compelling storytelling. Contribute to developing white papers, thought leadership, and educational content related to measurement strategies and performance marketing. Learn to educate clients, agencies, and industry stakeholders about AppLovin's advertising, measurement, and research capabilities. Minimum Qualifications Master's degree (or equivalent) in a quantitative discipline (e.g., Data Science, Statistics, Economics, Behavioral Science, Computer Science). 2+ years of relevant experience in data analysis, statistical methods, or quantitative research. Proficiency in analyzing and manipulating data sets using tools like Python, SQL, R, MATLAB, or Hive. Strong ability to communicate technical concepts clearly to a non-technical audience through concise story-telling. A proactive, curious mindset with a passion for continuous learning and adapting quickly in a dynamic environment. Excellent problem-solving skills and the ability to rapidly grasp complex concepts. Preferred Qualifications Internship or professional experience related to eCommerce or digital advertising. Exposure to industry measurement methodologies (e.g., attribution models, incrementality testing, geolift). Familiarity with machine learning techniques applied to marketing measurement. Genuine passion for AppLovin's mission and online advertising ecosystem. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. CA Base Pay Range $107,000-$161,000 USD AppLovin has become aware of a scam targeting jobseekers with fake "app optimization" and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in California, learn more here. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

By living according to a common set of values, we create a culture that unifies, embraces the uniqueness we all bring to the company, and positions Integer for long-term success. At Integer, our values are embedded in everything we do. Customer We focus on our customers' success Innovation We create better solutions Collaboration We create success together Inclusion We always interact with others respectfully Candor We are open and honest with one another Integrity We do the right things and do things right Accountabilities & Responsibilities: General Requirements: Engage in and facilitate stakeholder discussions to understand, analyze and document business requirements, business processes, and technical specifications (including system architecture documentation) Define and implement data architecture best practices, including data modeling, pipeline orchestration, transformation logic, and visualization standards. Configure, develop and support applications used on our Data & Analytics tech stack Design and specify integrations between solutions collaborating with stakeholders and other IT teams Create / review test plans and scripts; Conduct / participate in testing the solution to ensure the solution meets functional and technical requirements Liaise with business users and support/resolve system issues Lead system maintenance (review application patch, document test plan, and execute test scripts) Participate in the process for collection of requirements and writing of validation documents Follow Integer standards for validation, project management and SDLC Participate in and contribute to status and planning meetings Effectively communicate status, issue escalations & resolutions, and other events as required to all levels of Manufacturing and IT Schedule and facilitate meetings, document action items, follow-up to drive resolution Create presentations to help communicate complex technical, organizational, and project concepts and status Research and advise on the best technologies to leverage and / or approach to take in developing a system architecture or upgrades to install Capacity to see the big picture, develop plans and architectures with a global mindset Ability to account for project challenges on constraints including, risk, time, resources and scope Assist in the development of solutions roadmaps Data & Analytics Specific: Work with the Data & Analytics team on data ingestion strategies for the new Data Lake (using ETL tools, flat file processing etc.). Develop and maintain data management standards including documentation of current data sources, transformations and report specifications. Design scalable and performant data integration workflows using Azure Data Factory (ADF). Oversee the setup, optimization, and usage of Snowflake as a cloud data warehouse platform. Develop enterprise BI dashboards, KPIs, and reports using Microsoft Power BI, adhering to best practices for performance, usability, and governance. Education & Experience: Bachelor's Degree in computer science, information systems or business administration 3-5 years hands-on experience in the analysis, planning, designing, configuring, testing, deploying, and administration of a BI and Data Analytics solutions Experience with relational database concepts and flat file processing concepts 3-5 years of Microsoft Power BI experience is required Snowflake (Cloud Data Warehouse) experience is preferred Azure Data Factory and SAP Analytics Cloud experience is preferred 3 years of experience with using ERP systems (preferably Oracle) as a source for data & analytics solutions Experience in working with business stakeholders to understand business priorities and requirements Knowledge & Skills: Modeling- Able to represent information using a combination of graphical and textual elements; able to choose the correct type of model for a set of information, depending on the type of information to be communicated as well as the audience who will consume the information. Requirements Analysis- Able to prioritize and elaborate stakeholder and solution requirements to meet the needs of the sponsoring organization and stakeholders. Relationship Management- Able to quickly create relationships and partnerships with stakeholders; be comfortable in a challenger role that, at times, requires building constructive tension in interactions. Understanding of Microsoft Power BI and/or other similar data visualization platforms Passion for data and analytics, translating data into insights, decisions, and actions Ability to understand and communicate the business impact of data analysis and recommendations. Desire to understand the "why" behind the numbers and able to simply explain complex analytical models. Change management skills and ability to operate effectively in fast paced environment SDLC and Project Management skills; familiarity with basic PM and SDLC methodologies Able to work with cross-functional teams to drive and influence changes and improvements Excellent written, verbal, team and presentation skills Ability to clearly communicate technical concepts to both technical and non-technical users Able to work in a team environment that includes other architects / analysts, developers, and QA team Ability to lead change and motivate cross-functional teams to achieve tactical and strategic goals Self-starter, self-managed, quick learner, open-minded, problem-solver with a positive, collaborative, and team-based attitude Periodic travel is required Our total rewards program is designed to attract, retain, and motivate associates to contribute to Integer's success. Our compensation program includes base salary and a cash-based incentive program supporting our pay-for-performance philosophy. We provide a comprehensive benefits package with immediate eligibility including medical, dental, vision, disability, life insurance, and adoption benefits. Parental leave is available after one year. Optional employee-paid programs include supplemental life insurance, critical illness, hospital indemnity and accident insurance. Employees are immediately eligible to participate in the 401(k) plan with company matching contributions. We provide 80 hours (10 days) of company designated holidays per year plus an annual allotment of paid time off. U.S. Applicants: Equal Opportunity Employer. In addition, veterans and individuals with disabilities are encouraged to apply.

We are a creative team of architecture, engineering and design professionals who serve both public and private sector clients. Together, we share one Core Purpose: To plan, design, and consult to create healthy and thriving communities. Our offices are full of genuine, fun, and down-to-earth people who believe in fostering an inclusive culture where all employees feel they belong. Loving where you work, who you're working with, and what you're working on is important to us, which is why we put our people first-they're at the heart of everything we do. From professional growth and development support and opportunities to give back to your community, to flexible work schedules and competitive benefits, we have a genuine interest in the whole you. So, if you're just as passionate about what you do as we are, then we'd love to hear from you! Our transportation and utility services professionals offer practical, forward-thinking expertise in a wide range of practice areas, including active transportation, bridge design, roadway design and traffic engineering, intelligent transportation systems, utility and broadband services, grant writing, program management and so much more! From interstates and intersections to bridges and bike paths, we invite you to join us in designing transportation systems that connect us to the people and places we care about most. Our Transportation team is looking for an Engineer responsible for providing Owner's Representative Services to help manage the execution of high-voltage substation projects that support hyperscale data center development. This role ensures alignment between EPC contractors and the owner's internal teams throughout the design-build lifecycle-from early planning and permitting through energization and turnover. The ideal candidate will have deep substation project experience and the ability to lead technical reviews, drive construction progress, and support operational readiness. The location of this position could be Tennessee, Georgia, Kentucky or Ohio. Responsibilities: Serve as the primary point of contact between the EPC contractor and the owner's internal campus infrastructure and construction teams. Coordinate across internal engineering, operations, and design groups to ensure substation scope integrates with overall campus planning. Lead and document multi-disciplinary design review meetings, ensuring design quality, standards compliance, and system compatibility. Manage permitting strategy and submittals with EPC and local Authorities Having Jurisdiction (AHJs), including utility interconnection requirements. Facilitate coordination meetings and working sessions with EPC, design consultants, permitting agencies, and internal stakeholders. Conduct and coordinate regular site walkdowns to review construction progress, field conditions, and safety compliance. Track construction against schedule and budget milestones, proactively identifying and mitigating risks. Support and drive punch-list management, coordinating resolution of open items through construction and commissioning phases. Oversee project closeout activities including testing and commissioning coordination, documentation handover, and operational readiness. Ensure all deliverables and as-builts are received, reviewed, and accepted in alignment with project requirements. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Construction Management, or a related technical discipline. Minimum 7-10 years of experience managing complex substation or utility infrastructure projects. Demonstrated success overseeing EPC contracts in a design-build delivery model. Strong working knowledge of HV/MV substation systems including protection, controls, and physical layout. Experience with permitting, utility coordination, and regulatory compliance. Familiarity with electrical design packages including one-lines, schematics, relay settings, and construction drawings. Experience supporting substation infrastructure for data centers or mission-critical facilities is preferred. Familiarity with utility interconnection processes, NESC, IEEE, and other relevant codes/standards is preferred. PMP or similar project management certification is preferred. Experience with commissioning planning, energization procedures, and turnover documentation is preferred. We are an equal opportunity employer and do not discriminate. Everyone is invited to apply. Gresham Smith will not accept unsolicited resumes from recruiters, headhunters, contract recruiters, search firms, or employment agencies. An executed GRESHAM PLACEMENT SERVICES AGREEMENT (PSA) is required prior to any payment obligation for either a referral or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously executed PSA, GRESHAM SMITH explicitly reserves the right to recruit and hire those candidate(s) at its discretion, and without any financial obligation whatsoever to the recruiter or agency. Any such unsolicited resume or candidate contact information, including those submitted directly to GRESHAM SMITH'S hiring managers or any other employee, shall become the property of GRESHAM SMITH upon receipt.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate 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 Associate, 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: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. 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: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platform- AWS/Azure/GCP Certification in Snowflake Certification in any ETL/ELT tool Preferred Knowledge/Skills: Demonstrates thorough knowledge and success as both team leader and member roles within a professional services firm or large enterprise. Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing 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 Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Support cross-functional teams to understand their workflow and automation needs. Design and develop scalable data warehouse solutions that meet the organization's data storage, retrieval, and analysis requirements. Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities success with managing the identification and addressing of client needs: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Contributing as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; and, Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment. 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: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector 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

Welcome to the official site for employment opportunities at MICA. At MICA, we empower our employees to use their talent in a variety of ways. We are pleased that you are interested in career opportunities offered at MICA. General purpose: To provide asynchronous instruction for Data Analytics and Visualization (DAV) graduate students and to convey knowledge of multiple elements of data analytics from a professional perspective. Summary of Essential Functions: Develop and maintain an engaging asynchronous online learning environment via Canvas. Collaborate and coordinate with Program leadership and faculty. Hold virtual office hours for the duration of the class. Provide core instruction to satisfy primary learning objectives of the course. Provide timely feedback on and assessment of student work. Work directly with the curriculum team to establish program and course learning objectives, standardize rubrics and syllabi, and assist in structuring course materials on Canvas. Essential Duties & Responsibilities: Prepare asynchronous lesson plans for the duration of the course. This may include sourcing supplementary materials from diverse sources, ensuring course materials are relevant, up-to-date, and in alignment with program learning objectives. Design and deliver engaging asynchronous learning materials, including video lectures, interactive exercises, and discussion forums. Maintain consistent communication with students: Holding at least one hour of regular virtual office hours every week. Replying to any student communication within 24 hours. Evaluate and provide feedback on student work. This includes providing timely written and/or audio/video feedback via Canvas and keeping a current gradebook. Maintain the Canvas course throughout the term. This includes updating the syllabus, setting assignments with due dates, and providing slide decks and other materials to students in modules. Perform other related duties as assigned. Knowledge, Skills, and Abilities: Knowledge of Data Analysis and Visualization subject matter. Courses in this degree include: Foundations of Data Analytics and Visualization Literacy Statistics and Analysis I Statistics and Analysis II Visual Storytelling I Visual Storytelling II Design Lab: The Industry Challenge Capstone I & II Applicants should have experience and expertise in at least one of the above areas of knowledge. Applicants should be comfortable with using technology in an online learning environment, including Canvas and video conferencing platforms. Applicants should be able to demonstrate pedagogical knowledge of their subject area, with an emphasis on asynchronous instruction. Proficiency in data analytics and visualization programs such as R, Tableau, Excel, Python, Adobe Illustrator, and others as necessary. Minimum qualifications: Bachelor's degree in a related field plus proven/relevant professional experience Preferred qualifications: Master's degree in a related field plus proven/relevant experience Experience teaching in an online or asynchronous format. Expert knowledge of data visualization tools such as R, Tableau, Python, D3 Conditions of Employment: Satisfactory background check Salary $4,515.00 - $7,656.00 (commensurate with experience ) Physical demands and work environment: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands: While performing the duties of job, the employee is occasionally required to stand, walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; balance; stoop; talk or hear. The employee must occasionally lift up to 15 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Work environment: While performing the duties of the job, the employee is exposed to weather conditions prevalent at the time. The noise level in the work environment is usually minimal to moderate. Required training: Handbook orientation, Anti-Harassment, Hazard Communication, Emergency Plans & Fire Prevention, Personal Protection Equipment. Maryland Institute College of Art is committed to its policy of providing equal opportunity regardless of race, color, creed, national origin, religion, gender, sexual orientation, marital status, age, disability, or veteran status (disabled, Vietnam-era, or otherwise). Furthermore, the College does not tolerate any form of sex discrimination, including sexual harassment or sexual violence. This policy applies to all programs, facilities, and activities provided by Maryland Institute College of Art, including but not limited to admission, educational programs, and employment. Applicants must apply online for each job in which they are interested. You will not be considered for any job for which you have not specifically applied. We do not accept applications via email, U.S. mail, or fax. Successful candidates for any staff or faculty positions will be subject to a pre-employment background check. MICA provides reasonable accommodations to applicants with disabilities on a case-by-case basis. If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at 410-225-2363.

Salary: $70,000-$80,000 We are not offering C2C, this is a W2 Full time position. About You: This person will be adaptable, dynamic, and embody City Experiences' RESPECT Service System. About the Opportunity: The Analyst will play a crucial role in delivering marketing, sales, operational, and financial analytics. Acting as both a Tableau developer and business analyst, this role will be responsible for developing, managing, and maintaining KPI tracking and analytics across multiple business lines, brands, and shared service teams. The ideal candidate will excel at bridging the gap between business and technology, effectively communicating insights to senior leadership. They will thrive in a dynamic environment, demonstrating adaptability and leadership while upholding the organization's RESPECT Service System values. Essential Duties & Responsibilities: Develop and deliver data analytics solutions to support business insights. Design, maintain, and enhance Key Performance Indicators (KPIs) to track enterprise performance and health. Create intuitive, easy-to-understand visualizations and summary views of data. Lead the end-to-end development of standardized and interactive Tableau dashboards and reports, including intake, requirements gathering, wireframing, and build-out. Collaborate with engineering and business teams to translate business needs into technical requirements and integrate with a centralized data mesh. Collect, analyze, and document data from internal and external sources to generate actionable insights. Support the training, adoption, and administration of Tableau within the organization. Establish measurement specifications, data collection standards, schemas, benchmarks, and documentation. Provide support for ad-hoc and recurring analytics requests. Ensure data accuracy through audits and proactively resolve issues. Transform data into compelling insights that drive strategic decision-making and KPI optimization. Stay informed on best practices, trends, and innovations in data analytics. Effectively manage multiple projects simultaneously in a fast-paced environment. Requirements & Qualifications: Education: Bachelor's or Master's degree in Computer Science, Analytics, Math, Statistics, or related field; or equivalent experience in data analytics. Tableau Expertise: 1-2 years proven experience in developing, managing, and maintaining Tableau dashboards and analytics solutions. Technical Skills: 1-2 years experience in SQL, R, and/or Python. About Us: Hornblower's passion is to provide amazing experiences on land and water. Our 40-year success through organic growth and acquisitions has resulted in a portfolio of over 25+ brands that welcome upwards of 30 million guests/riders annually. If you're an enthusiastic team player who thrives in an environment where communication, creativity, and cooperation are encouraged, this may just be the opportunity for you. The RESPECT Service System embodies Hornblower's mission, vision, values and operating principles. By creating a company culture that puts RESPECT at its core, we believe it will drive us to achieve our goal of becoming a Global Experiences and Transportation Leader. EEO / Disabled / Protected Veteran Employer. Hornblower is proud to be an Equal Employment Opportunity employer. We offer equal employment opportunities to all qualified individuals and prohibit discrimination and/or harassment of any type, including but not limited to discrimination and or harassment based upon race, religion, religious creed, color, national origin, ancestry, citizenship, sex, sexual orientation, gender, gender identity, gender expression, age, pregnancy or relation medical conditions, childbirth, breastfeeding, parental status, veteran and/or military status, disability (physical or mental), medical condition, genetic information or characteristics, political affiliation, domestic violence survivor status, marital status, or other characteristics prohibited by federal, state, or local law. Additionally, as a federal, state, and local contractor, Hornblower complies with government regulations, including affirmative action responsibilities for qualified individuals, where and as they apply. The company also participates in the E-Verify program in certain locations.

Providing lending services to help our customers achieve their dream of homeownership. At Pulte Mortgage, we're more than a lender-we're a team driven by purpose. Since 1972, we've helped over 700,000 families finance their dream homes through innovative lending solutions and a commitment to doing the right thing. As a wholly owned subsidiary of PulteGroup, we offer a people-first culture rooted in collaboration, integrity, and daily positivity. Join us in Denver, CO, and be part of a company recognized by Fortune and Great Place to Work for building meaningful careers, supporting community impact, and creating a workplace where you can thrive. Apply now and discover a career where your contributions are valued, your growth is supported, and your work makes a lasting impact. This position will be located in Denver, CO or Texas. This position is hybrid requiring 1 day per week in office. JOB SUMMARY If you are driven to build quality software, have worked in both cloud and on-prem environments and enjoy the challenge of understanding and modernizing an ecosystem of data, we want to meet you. Pulte Mortgage is seeking an experienced, passionate, results-oriented, hands-on data engineer with experience transforming organizations into a more data-driven culture and environment to join our information systems department. Our vision is to elevate the power of data by providing robust data quality, data management, data modeling, and data visualization solutions to empower our people to make informed, data-driven decisions. We are looking for a seasoned software engineer with a passion for data who has hands-on experience building and debugging SQL Server databases, data pipelines, data transformations, and data acquisition processes. The ideal candidate will play a pivotal role in shaping the future of our data analytics, business intelligence and data governance initiatives by leveraging data, visualization and data platform technologies while partnering with cross-functional teams and departments. The Software Engineer will be responsible for developing data pipelines, coding ETL/ELT solutions, using SQL, Python, or PySpark to investigate data, and working with the Data Product team to deliver user stories as part of the company's data roadmap. The ideal candidate will also bring a passion for, and possible experience with, AI, Machine Learning (ML) and other agent processes to infuse our data into decision-driven analytics. This position requires a data-driven individual with strong technical skills, as well as the ability to communicate effectively with team members and stakeholders. PRIMARY RESPONSIBILITIES Design new and improve existing data infrastructures, including the Lakehouse, data warehouses, dataflows, data pipelines, semantic models, and reports. Migrate large-scale data stores from the existing on-premises SQL Server infrastructure to the new Microsoft Fabric-based infrastructure. Classify and organize data based on identified taxonomy structures. Work with our enterprise and data architects to ensure that the data is of high quality and meets the organization's requirements. Optimize data processing by using modern data engineering tools such as notebooks, dataflows, data pipelines, semantic models, and reports. Provide technical expertise during the design, planning, development, implementation, and testing of digital solutions, often custom developed and integrating new technologies. Understand technological systems and strategic vision and help facilitate the technical portion to produce integrated end-to-end digital solution options. Experiment and find ways to use AI and ML to improve our processes or deliver business impact Collaborate with data scientists to productionize ML models and integrate them into data pipelines. Participate in cross-project planning and release planning activities. Write and maintain concise documentation about our development process and major systems. Build scalable, maintainable, easy-to-use software following our development best practices and requirements laid out by the architect and the development team. Collaborate with product owners and end-users to understand any desired business functionality. Regularly review application logs and dashboards to proactively monitor for defects, gauge performance, and troubleshoot production problems. Contribute to Pulte Financial Services' positive, trusting, inclusive culture and team-first environment. REQUIRED EDUCATION Minimum high school diploma or equivalent (GED) Bachelor's Degree in Computer Science or related field highly preferred REQUIRED EXPERIENCE 4+ years' software engineering experience with Python, PySpark, Spark or equivalent notebook programming. 3+ years' experience with XML, SQL, relational databases, and large data repositories. Preferred experience building solutions within Microsoft's Azure cloud environment, specifically Microsoft Fabric; or willingness to learn and adopt new cloud-native data platforms. Hands on experience with data platform technologies such as Kafka, Hadoop, or Spark, but preferably those in the Azure platform such as HD Insight, Synapse, Data Lake, and Data Factory. Excellent relational database skills in writing SQL, ETL processes, analyzing and optimizing query plans, and writing DDL scripts. Passion for data and data quality. Passion for building clean and testable code, creating unit tests, and focusing on code quality. Extensive knowledge and experience with PowerBI or other widely used data solutions. Highly self-motivated and directed with a strong sense of curiosity and drive to accomplish goals and support the data product team. Experience with AI, ML, Agents and other automation tools is a huge plus. Experience with ML frameworks (e.g., scikit-learn, TensorFlow, Azure ML) is a plus. Experience with API and integration concepts. Knowledge in data pipelines, CI/CD concepts, DataOps/MLOps, and general software deployment lifecycles for continuous integration, delivery and monitoring. Exceptional verbal and written communication and collaboration skills, with the ability to interact effectively with a wide range of technical and non-technical stakeholders. Participant in Agile methodologies, particularly Scrum, and a track record of successful product delivery Salary Range: $100,000 to $115,000 annualy depending upon experience. This position is also eligible for an annual bonus based on the successful completion of defined performance objectives. In addition to up to 9 paid company holidays per year, employees are eligible for up to 6 days of sick pay. Moreover, eligible employees with less than 10 years of service can accrue up to 17 PTO days per year (and up to 22 PTO days per year upon 10 or more years of service).Employees are eligible to participate in the Company's 401(k) Plan. Employees (and their eligible dependents) are eligible for medical, dental, and vision insurance coverage. Employees are covered by company-paid disability, basic life insurance and parental leave. Voluntary insurance coverage options, including critical illness, accident, and hospital indemnity, are also available. In addition, the Company offers an Employee Assistance Program and tuition reimbursement (as applicable). Employees may also be eligible for state required benefits such as paid family and medical leave insurance and/or paid sick time as applicable. #LI-MM1 #LI-HYBRID PulteGroup, Inc. and its affiliates do not accept unsolicited resumes from individual recruiters or third party recruiting agencies (collectively, "Recruiters") in response to job postings. If Recruiters nevertheless submit one or more unsolicited resumes to any employee at PulteGroup, Inc. or its affiliates without a valid written agreement in place for this position, it will be deemed the sole property of PulteGroup, Inc. and its affiliates. No fee will be owing or paid to Recruiters who submit unsolicited candidates, in the event the candidate is hired by PulteGroup, Inc. or its affiliates as a result of the referral, without a written agreement between PulteGroup, Inc. and through any means other than via our Applicant Tracking System. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We will provide a reasonable accommodation to a qualified applicant with a disability that will enable the individual to have an equal opportunity to participate in the application process and to be considered for a job. All employees must be committed to fair and nondiscriminatory lending, in conformity with the Equal Credit Opportunity and Fair Housing acts, and to compliance with all applicable laws, regulations and company policies. Employees must act responsibly in their efforts to provide financial services to Pulte customers and to provide support to Pulte's core purposes. All offers of employment are contingent upon clear results of a comprehensive pre-hire background check including credit, criminal, education and employment. This Organization Participates in e-Verify California Privacy Policy

Job Title: Cloud Solution Architect- Data & AI Job Description We're Concentrix. The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. Join us and be part of this journey towards greater opportunities and brighter futures. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture," year after year. Join us and be part of this journey towards greater opportunities and brighter futures. We're seeking a senior Cloud Solution Architect (CSA) with deep expertise in Azure Data & AI workloads, including Azure Purview, Microsoft Fabric, Databricks, and Foundry. In this customer-facing role, you'll lead strategic technical engagements, advise IT and business leaders, and shape cloud strategies that drive innovation and business value. You'll guide customers through architecture design, deployment, and operational excellence-helping them scale AI solutions and modernize their data ecosystems on Microsoft Azure. What you will do in this role In everything we do, we believe in doing right by and for people - our clients, their customers, our people, our community, and our planet. Build trusted relationships with IT executives and business stakeholders to shape their Cloud and AI strategy. Lead architectural design sessions and implement secure, scalable, and resilient data solutions using Microsoft's best practices (CAF, WAF). Design and deploy end-to-end data architectures leveraging Microsoft Fabric, Azure Synapse, and Databricks. Implement data governance frameworks using Azure Purview, including cataloging, lineage, classification, and policy enforcement. Guide customers in building scalable AI and ML solutions using Azure Machine Learning and Databricks notebooks. Collaborate with cross-functional teams to integrate Foundry into enterprise data ecosystems. Lead technical workshops, proof-of-concepts, and enablement sessions for customer stakeholders. Provide strategic guidance on data modernization, cloud migration, and responsible AI adoption. Accelerate Azure consumption and customer outcomes by resolving technical blockers and providing delivery oversight. Inspire customer innovation by helping them adopt AI at scale and navigate their transformation journey. Your qualifications We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are. Concentrix is a great match if you have: 10+ years of experience in data engineering, analytics, or AI solution delivery. Hands-on expertise with Azure Purview, Microsoft Fabric, and Databricks. Familiarity with Azure AI Foundry and its integration into enterprise platforms. Strong understanding of data lake architecture, ELT/ETL pipelines, and real-time analytics. Proficiency in Python, SQL, Spark, and Power BI. Experience with MLOps, model lifecycle management, and AI governance. Excellent communication and stakeholder engagement skills. Microsoft Certified: Azure Data Engineer Associate or equivalent certifications preferred. Must be able to communicate effectively in English. The base salary range for this position is $106,000- $135,000, plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days. The deadline to apply for this position is 30th November 2025. Power the best version of you! At Concentrix, we invest in our game-changers because we know that when our people thrive, our clients and their customers thrive. If all this feels like the perfect next step in your career journey, we want to hear from you. Apply today and discover why over 440k+ game-changers around the globe call Concentrix their "employer of choice." Eligibility to Work In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence. Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. Location: USA, TX, Work-at-Home Language Requirements: Time Type: Full time Physical & Mental Requirements: While performing the duties of this job, the employee is regularly required to operate a computer, keyboard, telephone, headset, and other office equipment. Work is generally sedentary in nature. If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. For more information regarding your EEO rights as an applicant, please visit the following websites: English Spanish To request a reasonable accommodation please click here. If you wish to review the Affirmative Action Plan, please click here.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models Write software to prepare, clean, and sample data for use in developing predictive models Use cloud resources (e.g., Amazon Web Services) to prepare and process data Query and extract data from databases (Snowflake) Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm Solve challenging, uncharted problems Work in an environment that thrives on teamwork and continuous learning opportunities Qualifications: Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or Ph.D. in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder (ITAR) #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Looking to gain meaningful, hands-on experience that builds your professional skills? The SMSC and Mystic Lake 10-week summer internship program offers real-world projects, mentorship, and opportunities to develop lasting connections. Our internships are more than just an internship-they're a pathway to building futures together, inspiring possibilities, and fostering growth. With weekly pay and impactful experiences, you'll be equipped to take the next step toward your career. Internship Application Process: Applications held open till December 31, 2025. Phone Interviews start January 5, 2026. Final Interview Selections to Follow Internship Overview: You'll spend your summer with Minnesota's premier casino resort and entertainment destination-gaining hands-on experience and having plenty of fun along the way. Our 10-week, full-time internship is based at the Mystic Lake and Little Six offices in Prior Lake, MN, where we focus on inspiring possibilities, fostering meaningful connections, and creating memorable experiences. Each week brings something new: from touring Hocokata Ti, our cultural center, to color runs, networking events, and team activities, there's always something to look forward to. Beyond the experiences, you'll work on meaningful projects that have an impact on the business while learning what it takes to thrive in the dynamic gaming and entertainment industry. With fun as one of our core values, you'll enjoy connecting with fellow interns while exploring our culture and philanthropic efforts-making this summer an exciting and rewarding journey. This is more than an internship-it's a pathway to your career. You'll be a perfect fit if: You have excellent written and verbal communication skills including above average computer skills. You are detailed oriented when it comes to data, knowing that moving data can be key to other departments in their reporting. You have an easy-going personality, looking to make connections beyond your direct team. You can acquire a process, apply it effectively, and comprehensively document it for future reference by others. You have skills and experience with R, Python, Statistics, and Mathematics. If you are excited to dive into trends to make business recommendations - this is the internship for you! Who We Are: Mystic Lake Casino Hotel and Little Six Casino are owned and operated by the Shakopee Mdewakanton Sioux Community (SMSC). SMSC has a diverse collection of enterprises on its lands in Prior Lake and Shakopee, Minnesota. From Mystic Lake Casino Hotel, Little Six Casino, and Mystic Lake Center to natural grocery stores and fitness centers, our enterprises help drive the local economy. SMSC has donated more than $400 million to organizations and causes and has contributed millions more to regional governments and infrastructure such as roads, water and sewer systems, and emergency services. The SMSC is the largest philanthropic benefactor for Indian Country nationally and one of the largest charitable givers in Minnesota. We are committed to building futures together-by inspiring possibilities, fostering meaningful connections, and creating memorable experiences. Here, every voice matters, innovation is encouraged, and opportunities to grow are endless. Join us, and be part of a community that invests in you while shaping a stronger tomorrow. Internship Requirements: Currently enrolled in college, university, or post-secondary course work pertinent to IT, Computer Science, or a related program. Good understanding of the Windows platform, troubleshooting theory, and tools standard to the desktop support field. Demonstrated ability to work with others in a collaborative, team environment. Excellent organizational and multitasking abilities complementing strong verbal and written communication skills.

Industry/Sector Not Applicable Specialism SAP 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 SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the SAP Consulting team you are expected to deliver SAP data migration projects, working with SAP's suite of data migration tools. As a Manager you are expected to lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for maintaining project success, upholding senior standards, and leveraging team strengths to deliver on client expectations. Responsibilities Delivering SAP data migration projects using SAP's suite of data migration tools Leading and managing project teams across various business functions Strategizing and mentoring junior staff to enhance their skills Ensuring top standards and successful project outcomes Leveraging team strengths to meet client expectations Managing client accounts and fostering senior client relationships Utilizing firm methodologies and technology resources effectively Driving continuous improvement and innovation in project delivery What You Must Have Bachelor's Degree 6 years of experience What Sets You Apart Working knowledge in SAP standard data migration tools such as SAP Advanced Data Migration and Management (Syniti ADMM) or SAP Data Services (BODs) Delivering SAP data migration projects Utilizing SAP's suite of data migration tools Advanced experience with Microsoft SQL Server Working knowledge of SAP S/4HANA / ECC Conducting Blueprint/Design workshops Creating views and writing TSQL queries Designing ETL jobs for data extraction and transformation Developing data quality routines with real-time alerts Managing, mentoring, and leading a team Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Job Description Summary Become part of a winning team to electrify and decarbonize for a zero-carbon future. We are seeking a skilled Data Engineer with a strong focus on Artificial Intelligence to join our Product Management Team. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that supports our product initiatives and investments. You will work closely with product managers, data scientists, and engineers to ensure that our data pipelines are efficient and scalable. You will drive continuous improvement and implement new AI-driven solutions to drive productivity and improve quality within the Product Management organization. Job Description Key Responsibilities: Data Collection and Management: Gather, clean, and organize large datasets from various sources. Ensure data integrity and accuracy through regular audits and validation processes. Maintain data repositories and databases, ensuring they are up-to-date and accessible. Data Analysis and Interpretation: Perform statistical analysis and data modeling to identify trends, patterns, and insights. Create detailed reports and visualizations to communicate findings to stakeholders. Utilize advanced analytics techniques to solve complex business problems. AI and Machine Learning: Train and deploy machine learning models to enhance data-driven decision-making. Implement AI algorithms for predictive analytics, classification, clustering, and other applications. Evaluate and select appropriate AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Tool and Technology Proficiency: Employ data analysis tools such as SQL, Python, R, and data visualization software (e.g., Tableau, Power BI). Manage and optimize data pipelines and ETL (Extract, Transform, Load) processes. Collaborate with IT teams to implement and maintain data infrastructure. Collaboration and Communication: Work closely with cross-functional teams to understand data needs and provide relevant solutions. Present data-driven insights and recommendations to business leaders and decision-makers. Document data processes, methodologies, and findings for knowledge sharing and future reference. Continuous Improvement: Stay current with industry trends, emerging technologies, and best practices in data science, analytics, and AI. Participate in training and development opportunities to enhance skills and knowledge. Contribute to the development of data governance policies and standards. Qualifications/Requirements: Education: Bachelor's degree in Data Science, Statistics, Computer Science, Artificial Intelligence, or a related field. Master's degree preferred. Experience: Experience as a Data Analyst, Data Scientist, or similar role with a focus on AI and machine learning. Strong portfolio of projects demonstrating data analysis, visualization, and/or AI model development. Technical Skills: Familiarity with SQL and database management systems. Experience with programming languages such as Python or R. Familiarity with data visualization tools (e.g., Tableau, Power BI, Smartsheet). Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Desired Characteristics: Knowledge of deep learning techniques and neural networks is a plus. Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is desirable. Understanding of natural language processing (NLP) and computer vision applications is beneficial. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No For candidates applying to a U.S. based position, the pay range for this position is between $73,600.00 and $110,400.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on November 14, 2025. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022," "Forbes Next Billion-Dollar Startups 2024," and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting-edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable-comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means "doing less." We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

Ready to help us transform healthcare? Bring your true colors to blue. What We Need The Sr. Informatica MDM Data Engineer is a senior staff member of Data Solutions Delivery team. This role will lead the digital transformation of operational and foundational Master Data Management roadmaps to build and support the MDM platform developing and maintaining the master data management system, including data integration, data modeling and data migration. It will also lead to designing and implementing the overall MDM architecture and interfaces, including critical data integration, data modeling, and data migration for both customer data and enterprise data. We are looking for an experienced Master Data Management (MDM) Platform Engineer who will be responsible for the end-to-end management of our Master Data Management platform, leveraging Reltio software. In this role the candidate will work closely with cross-functional teams to understand the data requirements in the Payer space, and ensure the platform is configured to meet business objectives. This role will work in close collaboration with the Data Architect to craft and deploy scalable MDM solutions. Day-to-Day Designs and develops data ingestion and transformation pipelines in order to publish data for consumption Follows best practices and architecture patterns as part of all implementations Builds deep understanding of healthcare data domains thru process ownership, data exploration and hands-on SQL development Builds deep understanding of healthcare data domains thru process ownership, data exploration and hands-on SQL development Designs & develops data quality, data masking, data curation & extraction processes for appropriate data usage Provides operational support to high severity issues and incidents impacting critical data pipelines Ideates & builds common data processing utilities leveraging modular development methodologies Delivers high quality and scalable code with automated test coverage Helps grow and mentors team members on the fine art of data engineering and software abstractions Design, implement and maintain our MDM solution. Configure data models, workflows, and integration services within the Reltio platform. Define and implement data governance policies, standards, and procedures to ensure data quality. Ensure seamless data synchronization and consolidation across disparate systems. Implement data quality processes and tools within Reltio to identify and resolve data inconsistencies, duplicates and errors. Monitor data quality metrics and KPIs to ensure data quality improvement. Collaboration and Stakeholder Management - collaborate with business stakeholders, data stewards, and technical teams to gather requirements, define data governance policies and resolve data related issues. Facilitate workshops and meetings to align MDM initiatives with business objectives. Implement performance tuning techniques and scalability enhancements as needed. Document Reltio platform configurations, data models, integration processes, and governance policies. Provide training and support to end users, data stewards, and Digital staff on Reltio best practices and procedures. Offer on-demand technical assistance to end users as needed. What We're Looking For Minimum of 5+ years of demonstrated experience implementing data management platforms for MDM, such as Reltio 4+ years of experience with SQL or NoSQL databases like Postgres, Oracle, MongoDB Minimum of 5+ years' experience working with data architecture and data engineering. Possess deep understanding of reference data. At least 3+ years with integrating data management systems, including mastering solutions, with different data vendor feeds. Possess a demonstrated track record in large-scale data modeling and the implementation of efficient ETL/ELT strategies. Experience with data warehousing solutions and a strong understanding of their architecture. Experience with Data Quality Functional, Data Integration, Reltio Data Quality Module, Reltio Reference Data Management (RDM). Possess extensive experience in data quality functional, ensuring high standards of data accuracy. Have a strong background in data integration, enabling seamless integration of various data sources. Demonstrate expertise in Reltio Data Quality Module to enhance data quality processes. Exhibit strong knowledge of Reltio MDM solutions for effective master data management. Have a solid understanding of MDM functional and MDM architecture principles. Demonstrate strong analytical and problem-solving skills to address data-related issues. Have excellent communication and collaboration skills to work effectively with cross-functional teams. Show a commitment to continuous learning and staying updated with industry trends. Possess the ability to train and mentor team members on best practices. Exhibit strong organizational skills to manage multiple projects and priorities. Have a proactive approach to identifying and addressing data quality issues. Education Bachelors degree or higher in Computer Science or related field. #LI-Hybrid Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above Location Boston Time Type Full time Salary Range: $136,393.40 - $166,870.00 The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability. This job is also eligible for variable pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. WHY Blue Cross Blue Shield of MA? We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL. As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join our Talent Community to stay "in the know" on all things Blue. At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Technology Product & Platform Management Job Sub Function: Multi-Family Technology Product & Platform Management Job Category: Professional All Job Posting Locations: Ohio (Any City), Raritan, New Jersey, United States of America Job Description: The Sr. Director of CxM Data Products is responsible for the end-to-end portfolio of data products for the Johnson & Johnson MedTech CxM Platform across 5 key experiences and capabilities to support PR&O, Sales, Marketing, Customer Service and Service & Repair for 20,000 global users. The Sr. Director of CxM Data Products will be responsible for creating the MedTech CxM strategy, ensuring execution of a data platform with reporting and analytics and aligning to broader Johnson & Johnson data guidelines, standards and patterns for: This is a remote/hybrid role available in all states within the United States While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from any location to apply. Key Responsibilities and Collaboration: Data Quality Management: Establish procedures to ensure that data from legacy CRM and CxM systems are accurate, consistent, and reliable to support a successful migration to the Butterfly Platform. Conduct data profiling and data quality indexing to assess current data maturity and identify quality issues, lead initiatives to clean and improve the data. Activate the Data Quality Framework: Monitor & improve data quality within the Butterfly platform. Data Integrations for CxM: Design and implement data integrations to enable seamless exchange of critical information-such as Master Data Management (MDM), Customer Data Platform (CDP), and compensation systems-within the Butterfly platform. Advanced Data Virtualization: data virtualization that incorporates sophisticated capabilities like artificial intelligence (AI), machine learning (ML), and advanced performance optimization techniques to provide a real-time, unified view of data from diverse sources without physically moving or copying the data going beyond basic data federation. Data Model, Mapping, and Migration: Design and develop data models within the Butterfly platform to ensure consistent experiences across different domains. Lead the process of mapping data from legacy CxM/CRM systems to the Butterfly data model, establish migration patterns, and oversee the execution of data migration. Data Access & Data Product Enablement: Establish the strategy and facilitate the delivery of data products from the Butterfly platform to support data access & downstream data consumption. Reporting: Develop and implement a reporting strategy, and support both operational and strategic reporting for the relevant business processes, including data sources outside of Butterfly. Data Archival & Decommission: Develop and implement data archival and decommissioning plans for the legacy CRM and CxM platforms. Tooling: Ensures consistent use of J&J data tools across squads Compliance: Ensures data complies with internal audit, information security, regulatory compliance standards across global markets. Metrics & KPIs: Establishes and tracks key data and reporting metrics Why This Role is Important Ensures J&J Data Strategy is executed within the transformational program: Facilitates Cross-Functional Collaboration to ensure data standardization, governance and adherence Supports Product Managers: ensures product managers focus on product strategy for their experiences and roadmap while ensuring the successful delivery of data and reporting for releases. Provides Transparency and Accountability: Comprehensive documentation and tracking of data maturation and capability enablement to ensure transparency and accountability throughout the process Education and Experience 15+ years leading data strategy, product development and implementation across complex transformations CxM, Salesforce or Microsoft preferred Minimal education requirements- Bachelor's Degree Required, advanced degree preferred Required Skills: Preferred Skills: Business Architecture, Business Process Design, Business Savvy, Computer Programming, Corporate Governance, Critical Thinking, Human-Computer Interaction (HCI), Information Technology Strategies, Leadership, Organizational Change Management, Platform as a Service (PaaS), Product Knowledge, Program Management, Software Development Management, Strategic Change, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : 178,000- 307,050.00 USD Annually Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution Lead the design and execution of Mastercard's enterprise data architecture across a complex, global ecosystem. Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. Act as a trusted advisor to business, product, and engineering leaders-bridging technical strategy with enterprise priorities. Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. Strong executive presence with the ability to translate complex architecture concepts into business language. Experience mentoring and leading global, cross-functional teams of high-performing technical talent. Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

Position at MTA Headquarters JOB TITLE: Data Engineer, Level 3 DEPT/DIV: Chief Strategic Initiatives Officer/ Data & Analytics WORK LOCATION: 2 Broadway FULL/PART-TIME FULL SALARY RANGE: $110,000 - $129,780 DEADLINE: Until filled This position is eligible for teleworking, which is currently one day per week. New hires are eligible to apply 30 days after their effective hire date. Opening: The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. Position Objective: As a member of the Data & Analytics team, you will work on a dynamic, growing team tasked with helping to define and achieve the MTA's strategic priorities and address its most pressing challenges. You will get the experience of seeing your work become public data and have it influence critical decisions that affect millions of New Yorkers. Our work combines new approaches and algorithms with a deep knowledge of our operations to deliver deeper insights into our performance. Our outputs are used by a wide array of people: from the MTA Board and senior execs to front-line managers and our open data customers. If you would like to use your programming skills to work on complex problems to improve public transit in NYC, then we'd like to talk to you. The incumbent will help lead the redevelopment of metrics.mta.info, the MTA's external-facing data visualization site built off of open data, as well as various other internal-facing data tools used for real-time system analysis. This role combines front-end engineering expertise with a strong understanding of data visualization best practices and user experience design to deliver intuitive, sustainable, and performant tools that help teams across the MTA access, understand, and make decisions on data. They will use modern front-end technologies and frameworks (e.g., React, Svelte, D3.js) to build responsive and maintainable interfaces. They will also be expected to work fluently with back-end engineers and data systems - using tools like SQL and Python - to ensure seamless integration between front-end applications and the underlying data pipelines. They will carefully document all work and work closely with colleagues to define needs, problem-solve, support the overall team agenda, and build relationships throughout and at all levels of the agency. They will have to be able to quickly learn the unique features, data constraints and business needs of any part of the MTA. In general, they will have to support the MTA's strategic goals to build data systems and processes that are well-structured and sustainable. Responsibilities: Lead the design and development of a new metrics.mta.info and other internal-facing data tools, ensuring usability, performance, and clarity. Collaborate closely with data engineers, analysts, and product stakeholders to understand requirements, source data, and align front-end tools with upstream data pipelines. Support MTA's open data and transparency goals by translating complex data concepts into intuitive visualizations, dashboards, and interfaces that support decision-making across the agency, and awareness of key MTA issues and progress with customers. Proactively identify and resolve UI/UX issues, technical debt, and performance issues on visualization products Use the latest data technologies and cloud platforms to collect, integrate, ingest, transform, and organize data and information to support data analyses, reporting, dashboarding and modern analytics across the agency to standardize, simplify, flexibility, and reuse. Research and recommend the best emerging technologies, toolsets, applications, and systems to improve efficiency and efficacy. In consultation with managers in the Data & Analytics function, help lead project planning, help carry out project management, and communicate with clients and all relevant parties on project status. Support the selection and development of teammates within the department. Support a professional environment that respects individual differences, enables all colleagues to develop and contribute to their full potential and to achieve career goals at the MTA and beyond Perform other duties as assigned. Required Knowledge/Skills/Abilities: Strong skills in front-end development using modern frameworks such as React or Svelte; experience with TypeScript and component-based design preferred. Experience managing the hosting and deployment of high-performance front-end applications. Experience with DevOps tools (e.g., Github Actions, Argo, etc.) and familiarity with related concepts (e.g., CI/CD). Strong sense of effective design and visual communication through data. Ability to work and communicate with data scientists, including understanding basic data science concepts, statistics, and common languages such as Python. Strong skills in programming, database design, and data lake architectures for data engineering. Ability to play a lead role on the Data & Analytics team to set priorities and overall program planning in support of business goals. Ability to work with data of different types - structured, semi-structured, unstructured - as well as from distinct disciplines - transportation, finance, HR, asset maintenance. Knowledge of transit/ transportation systems and excellent judgment on how to manage or overcome technical, organizational, or governance constraints to meet business goals. Familiarity with common algorithms used to calculate KPIs and extensive experience with data visualization and business intelligence tools such as Power BI. Experience with data engineering orchestration tools (e.g., Airflow, Dagster, etc.) and DevOps tools (e.g., ADO, Git, Jenkins, Docker, etc.) and familiarity with related concepts (e.g., CI/CD). Extensive experience and ability to design and implement quality assurance and automated testing systems. Exceptional ability to read code and understand technical issues, keep up with technical innovation and trends in data engineering. Ability to collaborate and provide support to all levels of MTA, both technical and non-technical. Ability to deconstruct difficult problems into smaller and simpler pieces. Extensive experience in project design, strong project management skills, and the ability to lead successful team-based projects. Proactive interest in identifying strategic, policy, and business issues in all proposed and ongoing projects. Strong written communication skills for both non-technical and technical documents. Ability to present and engage on complex work products with executive audiences and to review and make decisions on project design options with clients and stakeholders. Required Education and Experience: Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field. An equivalent combination of education and experience may be substituted in lieu of a degree. A minimum of (4) years of experience working in a front-end development or another position with similar programing and data visualization content. A minimum of (3) years of experience working in a data engineering or another position with similar programming and dataset design content. A minimum of (3) years of experience building pipelines, automating tasks through scripts, writing database queries, and debugging/ maintaining code. A minimum of 4 years) experience with both Python and SQL programming. A minimum of (4 years) experience with relational databases (e.g., Oracle, Postgres, SQL Server, NoSQL), including writing queries (generally with PL/SQL) to obtain and manipulate data. The Following is/are preferred: Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field. Other Information May need to work outside of normal work hours (i.e., evenings and weekends) Travel may be required to other MTA locations or other external sites. According to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission"). Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.