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Industry/Sector Not Applicable Specialism Oracle Management Level Manager Job Description & Summary A career in Oracle consulting will provide you with the opportunity to help organisations use enterprise technology to achieve their digital technology goals and capitalise on business opportunities. We help our clients implement and effectively use Oracle offerings to solve their business problems and fuel success in the areas of finance, operations, human capital, customer, and governance, risk and compliance. The Oracle Data and Analytics team, within Oracle consulting, provides you with the opportunity to help our clients transform their organization through better use of data and analytics to drive profitable growth, reduce operational costs, improve customer experience, empower employees, reduce operational risk, and address regulatory requirements. We help our clients define their Data and Analytics strategy and effectively see the strategy through execution. We help implement and effectively use broad technology offerings including Oracle Analytics and Data solutions along with enhanced Data Governance and Data Management capabilities to solve their business problems and achieve their strategic business goals. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. As part of the Oracle Data and Analytics team you manage data strategy, data roadmap, data governance, and data solution implementation projects. As a Manager you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for securing project success and maintaining top standards. You are responsible for leading a team of on and off-shore resources, including business analysts, data analysts, solution architects, and developers to deliver a data-focused engagement. Responsibilities Lead teams in managing data strategy, data roadmap, data governance, and data solution implementation projects Manage client accounts with a focus on strategic planning and mentoring junior staff Oversee a team of on and off-shore resources Confirm top standards and project success Foster a collaborative and innovative team environment Develop and maintain powerful client relationships Mentor and develop junior team members Lead business analysts, data analysts, solution architects, and developers What You Must Have Bachelor's Degree 7 years of experience What Sets You Apart Bachelor's Degree in Computer Science, Computer and Information Science, Information Technology, Management Information Systems preferred Managing data strategy and data solution implementation projects Leading a team of on and off-shore resources Analyzing end-to-end data flows and conducting hands-on data analysis Designing improved data flows and architecture Overseeing project timelines and risks Utilizing and leading data programs with various products Managing consulting engagements in data architecture Automating processes and analytics Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Software and Product Innovation - Testing and Quality Assurance team you, you manage test data operations and oversee the successful implementation of test data management capabilities across testing life cycles. As a Manager, you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for project success and maintaining exemplary standards, while utilizing your broad knowledge in test data management tools and methodologies. Your role involves motivating and inspiring others to deliver quality, embracing technology and innovation, and upholding professional and technical standards. Responsibilities Oversee the execution of test data operations across various testing phases Guide and develop team members in test data management practices Strategize and implement plans to enhance client service delivery Maintain adherence to top standards and project timelines Utilize innovative technologies to improve testing processes Inspire and motivate teams to achieve excellence in deliverables Maintain compliance with professional and technical guidelines Foster a culture of continuous improvement and learning What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Certifications preferred: Test Data Management Tool Preferred field(s) of study: Computer Engineering Demonstrating experience as a Test Data Manager Utilizing tools like Talend, Delphix, Informatica TDM Implementing TDM capabilities across testing life cycles Understanding of Python and Snowflake Working knowledge of database management systems Demonstrating experience with Agile methodologies Excelling in communication and problem-solving skills Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $155,000 - $410,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often-that's what we call the courage to thrive. 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. Try new things, learn new skills and discover what you excel at-all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals-no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we're building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. Job Description We are seeking a seasoned and strategic Product Analytics Manager with 14+ years of experience to lead our product analytics vision and execution. This is a high-impact leadership role focused on building a strong analytics foundation-ensuring data is accurately captured, translated into meaningful insights, and used to drive smarter product decisions and business growth. Good understanding of customer and product journey's related insights. You'll work closely with product, engineering, and executive stakeholders to align on measurement strategy, surface actionable insights, and directly influence product roadmaps and customer experience improvements. Key Responsibilities: Strategic Analytics Leadership Define and drive the product analytics strategy aligned with long-term product and business objectives. Serve as a trusted advisor to product and executive leadership, enabling data-informed decisions. Data Instrumentation Lead cross-functional efforts to implement and maintain scalable, reliable event tracking across digital products. Establish taxonomy, event design, and governance best practices across teams. Insights & Product Impact Translate behavioral and performance data into clear, actionable insights that inform product priorities and design decisions. Identify user patterns, feature adoption trends, and friction points to optimize engagement and retention. Experimentation & Optimization Monitor post-launch performance and continuously refine measurement strategies. Reporting & Visualization Create dashboards and executive-level reports that distill complex data into clear, strategic narratives. Present key insights to cross-functional stakeholders and executive teams. Cross-Functional Partnership Collaborate with product managers, designers, engineers, and growth teams to embed data into everyday decision-making. Mentor team members and help cultivate a data-driven product culture. Highly Preferred Qualifications: 14+ years of experience in product analytics, data strategy, or digital product leadership roles. MBA from a reputed business school, with focus on product, analytics, or strategic decision-making. Technical schooling from a top-tier university (e.g., Data Engineering & Science, preferably Master ). Advanced SQL proficiency and hands-on experience with analytics tools such as Power BI Demonstrated success leading instrumentation, defining KPIs, and generating insights that influence product direction. Deep understanding of product engagement metrics, funnel analysis, retention cohorts, and user journey optimization. Experience influencing C-level stakeholders and leading cross-functional alignment through data. Prior success in high-growth, product-centric environments. What You'll Gain: A leadership role at the intersection of data, product, and strategy. Influence over product evolution, customer engagement, and business outcomes. The opportunity to define and scale a world-class product analytics foundation. Basic Qualifications Master's degree in data and technology management, or equivalent work experience Ten or more years of experience in data management and business intelligence in the financial services industry 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: $139,230.00 - $163,800.00 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.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position The Opportunity As Clinical Data Manager I, you will form data management activities for both clinical studies and development projects as assigned. You ensure the delivery of complete, accurate data that is ready for analysis and regulatory submission. You support all data-related activities, including data entry, verification, and scribing when needed. You are supporting Lead Data Managers in execution of assigned tasks. You are assisting and contributing to the compilation of all data management documentation for assigned projects. Review and adhere to the requirements of study-specific DMP. You are participating in study-specific data entry training and serves as backup to data entry staff. You are preparing and entering test data for user testing of clinical database and edit checks. You are performing basic clinical study data review as required by the DMP. Identifies incomplete, erroneous, and/or discrepant data. You are generating discrepancies and updates clinical database based on queries, data clarification forms, discrepancy management guidelines, and performs other database changes as necessary for a study. You are assisting in preparation of relevant subject data files and study documentation for audits and quality control. You are performing other duties as assigned. Who You Are You are a Bachelor's graduated Experience required: entry level with the ability to work with relevant computer software, including spreadsheets, word-processing and database packages (e.g., Microsoft Excel, Word and Access). Behaviours, competencies and qualities of the ideal applicant Excellent communication and interpersonal skills. Ability to work under time pressure while maintaining high standards of precision and data quality Experience with Python scripting, Java and SQL preferred. Relocation benefits are not offered for this job posting. The expected salary range for this position, based on the primary location of Tucson, is 54,600.00 - 101,400.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

As a member of the Information Systems Department, the Senior Enterprise Applications and Data Architect is responsible for assessing, developing, and maintaining architecture components within the application portfolio while monitoring and governing its associated data within the environment. ESSENTIAL FUNCTIONS: Assist in the road mapping of the application and data portfolio and develop transition plans for moving from the current to future solutions within the environment. Plans, directs, and coordinates the standardization of data between various on premise and cloud platforms. Identify workflow process inefficiencies and implement changes to improve the productivity, efficiency, and/or cost-effectiveness of products or services. Review application architecture and data integration options and make recommendations to IS management for possible implementation with on premise or cloud hosted solutions. Serve as the Project Manager on new enterprise-wide applications or updates to existing applications, as assigned. Create project plans, track budgets, monitor deadlines, and project team performance. May serve as a project member on projects run by other team members or manager. Lead the testing of new software or new versions of software. Create and maintain test environments for each of the enterprise-wide applications, including server specifications and software installations, integrations, and customizations. Create and maintain testing scripts for all enterprise-wide applications; manage testing teams and procedures and analyze test results. Create and maintain production environments for enterprise-wide applications, including server and desktop specifications, client software packaging, server software installations, integrations, and customizations; submit Change Management forms for approval per IS procedure; schedule work with vendors; perform installations or upgrades, final testing and close monitoring after installation or upgrade. Resolve and respond to Help Desk tickets related to enterprise-wide applications, plus all other applications as needed; note trends; perform troubleshooting; perform problem management, including escalating to other teams and to vendors as needed. Keep current on patches and releases related to enterprise-wide applications; review release notes; track resolutions to existing software problems; recommend updates to install. Interface with vendors, industry peers, and professional associations to keep informed of existing and evolving industry standards and technologies. ADDITIONAL FUNCTIONS: Maintain a high level of knowledge in all enterprise-wide applications via release notes, documentation, vendor dialogue and training classes. Assist, teach and mentor Applications Analysts, Administrators, and Engineers on the team. Other related job duties, as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Bachelor's degree in computer science preferred. Experience: Minimum of ten years of extensive experience managing enterprise-wide applications and, preferably in a law firm. At least five years of related work experience with cloud data analytics platforms technologies. (Azure, AWS, Snowflake, etc.) Knowledge, Skills, & Abilities: Solid project management skills, operating as part of a team organizing, planning, and executing small to large-scale projects from the envisioning stage through implementation. Demonstrate a knowledge and understanding of enterprise system integrations, such as: Multi-cloud integrations Data movement (ETL/ELT) Data architecture (Snowflake, MS Fabric) Data Preparation (Azure Data Factory) Data Consumption and Visualization (PowerBI) Infrastructure, server, operating systems, and network communications knowledge. Process-minded with a strict regard to details. Strong ability to install and maintain any enterprise-wide application, including servers, customizations and integrations, load balancing, disaster recover procedures. Knowledge of SQL server and SQL scripting. Extensive Knowledge of various Microsoft technologies including Azure AD, Azure AD Application Proxy, Power Bi, OneDrive, and Azure Virtual Desktop remote app streaming. Certification in Microsoft 365 Enterprise preferred. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. COMPENSATION & BENEFITS The salary range for this position applies to Atlantic City, Chicago, Denver, Las Vegas, Los Angeles, Minneapolis, Morristown, New York, Princeton, San Francisco, Seattle, and Washington, D.C. The salary range reflects a variety of factors that are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for a position. A reasonable estimate of the current range for this position is $140,000 to $175,000. For information on Fox Rothschild's compensation and benefits visit: Compensation & Benefits (foxrothschild.com) DISCLAIMER The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

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 Data Product Manager- Technical- Finance Modernization Mastercard Overview Mastercard is seeking talented professionals to join our team and contribute to our mission of connecting and powering an inclusive, digital economy that benefits everyone, everywhere. Our ideal candidate thrives in a collaborative environment, embraces challenges, and is committed to achieving excellence. If you are ready to advance your career and be part of a forward-thinking company that values creativity, dedication, and professional growth, we invite you to explore this exciting opportunity with Mastercard. Role Overview Mastercard is on a journey to modernize and advance our Finance Technology landscape. As a Senior Data Product Manager- Technical, you will leverage your background in data product management to align requirements with business objectives and enhance data-driven decision-making. You will work closely with stakeholders across the Finance Data framework lifecycle, from conceptualization to launch. This role requires a blend of technical expertise, strategic vision, and practical execution to drive enterprise-wide change in finance technology. This is an exciting opportunity to shape the future of finance technology and lead an impactful modernization journey. If you are passionate about driving change and delivering value in a fast-paced environment, we encourage you to apply. Responsibilities As the Senior Data Product Manager- Technical, you will be responsible for the following: Collaborate closely with technology and business stakeholders to identify, prioritize, and refine data product requirements. Translate business needs into technical specifications and ensure alignment across teams. Support the development and execution of the roadmap for data products within finance technology modernization, aligning with business goals and driving measurable business outcomes. Decompose business requirements into user stories, feed engineering a well-groomed backlog of user stories, prioritize the backlog, and define the acceptance criteria. Use customer feedback, business input, research, metrics, and industry analysis to inform requirements and continuously optimize the backlog. Ensure alignment with user experience design, monitor feature development, and adjust as needed during implementation. Recommend trade-off decisions on data product features/depth of features/backlog items. Clear communication of technical requirements to the development team and development concerns to business stakeholders. Be able to speak the language of software development and product management. Owns and manages product documentation ensuring features and associated documentation are clear and easily consumable by other engineering teams. Identifies issues that will keep features from delivering on time and/or with the desired requirements and works with internal teams and customer service to identify, classify, and prioritize feature-level customer issues. Skills and Experiences Experience in data product management within the Tech, SaaS or FinServ industry. Demonstrated ability to understand and empathize with customer needs, backed by a track record of developing data frameworks and/or products. Experience defining and organizing customer objectives, goals, strategies and metrics. Experience converting customer use cases into actionable and testable backlogs, and owning prioritization. Strong ability to decompose business requirements into user stories, feed engineering a well-groomed backlog user story, prioritize the backlog, and define the acceptance criteria. Understands the technologies, architecture design and features that support customer jobs to be done and can contribute to technical discussions, decisions and strategy related to a product. Experience in agile delivery methodologies. Strong technical knowledge and capability. High degree of initiative and self-motivation with a willingness and ability to learn and take on challenging opportunities. Strong communication skills, both verbal and written, with strong relationship, collaborative and organization skills. 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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more. Pay Ranges O'Fallon, Missouri: $99,000 - $158,000 USD Miami, Florida: $99,000 - $158,000 USD New York City, New York: $119,000 - $190,000 USD

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: 1+ years of experience in statistics, operations research, or advanced mathematics Experience with R or Python Experience using scientific methods to inform qualitative and quantitative analyses Ability to work effectively in a collaborative and fast-paced environment TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have: Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management Experience analyzing large-scale datasets Experience with data gathering, cleansing, and parsing Experience developing and applying optimization and simulation models Ability to work in Windows and Linux OS environments Bachelor's degree in Operations Research, Applied Mathematics, or Data Science Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Job Description Summary As a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. Job Description Roles and Responsibilities : Design, develop, and deploy machine learning models and algorithms Understand business problems and identify opportunities to implement data science solutions. Develop, verify, and validate analytics to address customer needs and opportunities. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). Ensure efficient data retrieval and augmentation processes to support LLM training and inference. Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: Bachelor’s degree from accredited university or college with minimum of 3 years of professional experience OR an associate’s degree with minimum of 5 years of professional experience 3 years of proficiency in Python (mandatory). 2 years’ experience with machine learning frameworks and deploying models into production environments Note: Military experience is equivalent to professional experience Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. Experience with handling unstructured data, including images, videos, and text. Understanding of computer vision techniques and tools Ability to work in a fast-paced, dynamic environment. Experience with data preprocessing and augmentation tools. Demonstrated expertise in critical thinking and problem-solving methods Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services Demonstrated skill in defining and delivering customer value. Demonstrated expertise working in team settings in various roles Demonstrated expertise in presentation and communications skills. Experience with deep learning and neural networks. Knowledge of data governance and compliance standards. Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace 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 Aerospace 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: Yes

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description This individual will work closely with the ESG leads in the Credit, Private Equity, Real Estate, Infrastructure and Secondaries to provide solutions supporting ESG data needs, collection, and reporting. A core component of success in the role is serving as the center of coordination with Data Operations, IT and the ESG asset class leads to translate the ESG business requirements into firmwide data reporting processes. To be successful, the ideal candidate would have experience in strategic planning and complex stakeholder management around data collection and reporting with an ability to anticipate and respond to future business needs. The role requires a dynamic, adaptive, and versatile experienced hands-on professional to ensure best practices in a fast-paced rapidly growing environment. Specific Responsibilities include, but not limited to Engage in stakeholder management and balance the needs of different asset classes’ distinct ESG reporting needs and carbon footprint data collection to distill and prioritize ESG data roadmap across business lines and geographies. Engage with ESG leads to evaluate their needs and problems, clarify, and document requirements, and help design solutions with the application development team by translating business requirements into functional requirements. Create and chair a steering committee of key individuals from IT, Data Operations, ESG teams and IR and own strategic roadmap of ESG data build outs across Ares’ key asset classes, continually refreshing against evolving needs and regulations. Develop strategies for integrating distinct asset class financial data with ESG data/reporting requirements and being proactive/creative about how this can be addressed in the medium and long term. Translate ESG leads’ reporting requirements into business requirements with IT to develop internal and external reporting dashboards to enable monitoring of collected ESG data points. Establish the toolkit for ESG data collection including: Robust and repeatable data collection processes Consideration for overall Ares Investment management data model in conjunction with ESG datasets Consideration for future reporting needs when developing data collection processes and model. Identifying opportunities for global standardization and driving the initiative across business lines Perform analysis across diverse and large datasets; effectively communicate research findings and relevant recommendations to the stakeholders and team members. Responsible for managing the necessary firmwide annual data collection processes to support the ESG team’s data needs and provide recommendations from prior business specific data collection efforts to provide best practices to create scale across the firm. Evaluate new and existing ESG data vendors to determine external data sets to supplement annual survey processes and test benefits to each business line. Collaborate with legal, ESG compliance and audit to scope out requirements for documentation for ESG investment process, fund specific requirements and global regulations. Ensure that ESG disclosure requirements are properly vetted and implemented in a well-controlled process from an end-to-end perspective. General Requirements Ability to be flexible in terms of hours to coordinate with team members across various time zones (primary offices, in NY, LA and London) An analytical mind and a passion/interest in bringing innovative ideas to increase efficiency of existing processes. Dependable, great attitude, highly motivated and a team player. ESG data experience: Support the implementation of new systems and upgrades to existing software, particularly in relation to data collection, data governance and process design. Experience with ESG data in one of the primary focus on Direct Lending, Private Equity and Real Estate ESG business lines but ability to support all asset classes’ specific data requirements Assist, alongside asset class needs, 3rd party ESG data vendor searches for the new and existing system refreshes or implementations. Determine if there are scaled ESG vendors across asset classes for pre-investment diligence, data collection requirements, and post-investment monitoring Project management experience: Experience with Agile project management methodology is desirable. Ability to Build, maintain, and execute project plans. Keep the stakeholders and sponsors abreast of project and milestone updates. Ability to take responsibility for deliverables within a project. Technical skills: Strong excel skills required. Experience with relational databases, proficient with SQL for ad-hoc queries and data analysis and / or knowledge of Python and/or very strong willingness to learn. Experience connecting with third party APIs preferred but not required. Qualifications Education Bachelor's degree in finance or other business-related discipline Experience Required Minimum of 7 years of experience in high quality, global capital markets or investment management firms with expertise in Data Operations Experience in Investment Operations, Fund Accounting, Information Technology or Software Development life cycle preferred Prior experience with an alternative asset manager preferred broader asset management experience preferred Experience with Tableau, SQL, or PowerBI Hedge fund, Credit or Private Equity experience is a plus Reporting Relationships Compensation The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $180,000 - $195,000 / annum The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.

ClearBridge Investments is a leading global equity manager with over $180 billion in assets under management. The firm is committed to delivering long-term results through active management. We have followed this approach for more than 60 years and continue to offer investment solutions that emphasize differentiated stock selection to move our clients forward. Our investment decisions are supported by a robust research platform that conducts in-depth fundamental analysis of individual securities. We integrate environmental, social and governance (ESG) considerations into our fundamental research process in all our investment strategies. Owned by Franklin Templeton, ClearBridge operates with investment independence from headquarters in New York and offices in Baltimore, Calgary, Fort Lauderdale, London, San Mateo and Sydney. ClearBridge Investments has been named by Pensions & Investments Magazine (P&I) as one of the Best Places to Work in Money Management for the thirteenth year in a row. These awards reflect the Firm's diverse and inclusive culture , spirit of collaboration, work/life balance and our ongoing investment in our employees. Job Summary: ClearBridge Investments is looking for a Data & Automation Engineer to join their New York-based Applications Development & Support team. This individual will be part of a newly minted Data & Automation group responsible for all data-related initiatives of the company. Key Responsibilities and Duties Include, but not Limited to: Build data platforms, data architectures, data products, and data pipelines, needed to enable data analysts and making data driven decisions. Design, implement and maintain data models, manage datasets pertinent to the investment life cycle, asset-level and financial operations data Participate in the full lifecycle of ETL software development - analysis, design, implementation, documentation, and testing Drive the onboarding and attribution of newly acquired datasets into our data environment; manage all aspects of the loading process Proactively look for opportunities to optimize data loading structures and develop innovative approaches to improve the onboarding and integrity of the data Create and execute unit tests on all solutions and work with QA engineers to ensure integration tests are complete. Ideal Qualifications and Experience: 3+ years of experience as a data & automation engineer with extensive experience in architecting data warehouses, data lakes, and data platforms for consumption by analytics and data science/ML. Extensive experience in building data pipelines (batch ETL, micro batches, and real-time streaming). Strong knowledge of cloud data platforms (either one of AWS, GCP, Snowflake, Azure) Experience of using (not limited to) SQL, Visualization, Reporting & ETL tools (PowerBI, FiveTran, Dbt, Alteryx, SSIS, SSRS). Ideally, experience of working within the Asset Management industry Strong skills in Python, ETL transformations, data modeling, & feature engineering Experience owning data platforms end-to-end (from data generation/ingestion to curates/aggregated layers), designing, estimating, implementing, testing, maintaining, debugging, and supporting high-quality software in production. Experience in building foundational, curated and aggregated data layers enabling self-service business intelligence (easily consumable by non-technical users) Excellent interpersonal, communication, presentation, and organizational skills Strong analytical & troubleshooting skills TOTAL REWARDS Our employees have access to a competitive and valuable set of Total Rewards. Our Total Rewards include: Health, wellness and risk benefits to protect employees and their families Retirement savings, stock purchase and other incentive programs to help employees plan for the future Holiday, paid-time-off and other employee programs that support work-life balance Support for pursuing certifications, external education and degree programs Learning, development and career advancement opportunities Ways to get involved in, and give back to, our communities, including paid time off for volunteering and charitable donation matching The salary range for this position is targeted for $125,000 to $165,000 plus discretionary bonus. Base pay offered may vary depending on job related knowledge, skills, and experience ClearBridge is an Equal Opportunity Employer. We are committed to equal employment opportunity for all applicants and existing employees and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for, or apply for, one of our positions please send an email to accommodations@FranklinTempleton.com . In your email, please include the accommodation or adjustment you are requesting and the job title and job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only requests for accommodations will receive a response.

OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking an Infrastructure Repair Technician to join our data center operations team. This role is focused on the physical repair and maintenance of data center hardware, including servers, switches, routers, and related components. The ideal candidate will have hands-on experience with hardware from leading vendors such as Cisco, Juniper, Arista, and x86 server platforms. KEY RESPONSIBILITIES: Perform hands-on repairs and replacement of defective hardware components in data center equipment, including power supplies, fans, and network cards. Manage the lifecycle of hardware components, from installation and troubleshooting to decommissioning and recycling. Conduct physical inspections and routine maintenance on data center equipment to ensure operational reliability. Oversee the inventory management of spare parts and hardware components, ensuring availability for repairs and upgrades. Collaborate with technical teams to coordinate replacement activities and minimize downtime during hardware failures. Document repair activities, maintain accurate records of maintenance logs, and update system configurations as necessary. Execute basic physical layer troubleshooting, including cable and port testing, to ensure connectivity and performance standards. Support the implementation of new hardware installations and the physical setup of network and server infrastructure. Participate in emergency response teams to address urgent hardware issues 4 Rotational shifts, for 24/7/365 service (8 to 10 hr. shifts; 3 to 4 days per week; 2 to 3 days off) ESSENTIAL CRITERIA: Technical diploma or certification in electronics, computer hardware, or a related field. Proven track record of repairing and maintaining IT and network hardware in a data center environment. Familiarity with hardware from Cisco, Juniper, Arista, and x86 servers is highly preferred. Strong organizational skills with the ability to manage multiple tasks and prioritize work effectively. Excellent problem-solving skills and the capacity to perform well in a fast-paced environment. Valid driver’s license and ability to handle physical requirements of the job including lifting equipment up to 50 pounds. PHYSICAL REQUIREMENTS: Ability to lift and maneuver heavy equipment, up to approximately 50 pounds, and occasionally up to 100 pounds. Dexterity to manage small and complex components during hardware maintenance. Frequent standing, bending, and moving within confined spaces in the data center. Ability to work in various environmental conditions, including areas with elevated temperatures and noise levels. The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. #IND Pay Range $55,000 — $63,000 USD

JOB DESCRIPTION This role represents an opportunity to be at the forefront of transformation, innovation and service excellence for our U.S. Retirement business. You will help to shape a new retirement recordkeeping and trust operations ecosystem including the complimentary tenets of people, process, technology, and data. You will be instrumental in evolving a new culture focused on efficiently servicing, transforming, and growing our U.S. Retirement business while maintaining our reputation for service excellence Position Responsibilities: Manage relationship with the prior record keeper as it pertains to data transfer and the integrity of submitted files during implementation. Understand and identify missing information and how the required data is key to plan setup and effective product delivery Negotiate and influence providers to send required data to support administrative, compliance, and customer experience record-keeping needs. Manage internal relationships during conversion Participate in conversion project team meetings. Complete tasks essential to the implementation setup process and effectively elevating issues and problems to the Plan Implementation Manager, following up on outstanding items, discrepancies and significant issues while supporting multiple implementation projects Review raw data sets received from a variety of parties and be able to integrate, analyze and manipulate data to confirm data integrity and data gaps as it relates to conversion data requirements and successful on-going plan administration in the bundled plan environment Work in an environment where on-going product development is in process, contributing to and identifying opportunities for process improvements, assisting in establishing procedures and protocols that are not yet defined, detecting trends and patterns and escalating issues to management thereby contributing to departmental goals and initiatives. Contribute to systems and process improvement of the department by identifying barriers and providing input solutions Required Qualifications: Firm understanding of U.S. Retirement marketplace and Plan Provider Services including recordkeeping and trust operations and the surrounding ecosystem including Advisor, Sponsor, Participant and TPA channels including digital, web, mobile and via business to business and participant Contact Centers. Flexibility, adaptability, agility, and the capability to innovate, adapt and evolve while working through ambiguities associated with new processes, new systems and new products. Strong sense of process ownership and successful client outcomes. • Experience in the U.S. marketplace as with Implementation, Payroll Operations or Client Service experience. Broad understanding of onboarding and servicing US Retirement clients. Project Management experience. Accountability: Manages own performance, priorities, and outcome. Takes personal accountability when acting on all customer requests or issues. Client/customer facing experience required. Outstanding oral and written communication skills and interpersonal skills. Ability to adapt to technology. Strong analytical/problem solving skills. Demonstrate ability to work in a team environment. Ability to work effectively within geographically dispersed team, leverage knowledge across the organization. Preferred Qualification: Experience with Microsoft Word, Excel, Decisions workflow, Salesforce preferred. Experience working with the FIS Omni Recordkeeping platform including the business to business and business to customer scope of services (highly desirable ) When you join our team: We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html . Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com . Referenced Salary Location Boston, Massachusetts Working Arrangement Hybrid Salary range is expected to be between $60,375.00 USD - $100,625.00 USD If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify I Pay Transparency Company: John Hancock Life Insurance Company (U.S.A.)

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes. The scope of this job includes collaborating with data scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security. We invite you to apply today and join us in shaping the future of healthcare! Key Responsibilities: Lead, develop, and maintain the data architecture, data models, and standards for various data integration and data warehousing in enterprise data warehouse. Research, develop, and maintain data solutions to enable new or existing solutions and BI development for the enterprise driven data warehouse and data visualization solutions. Maintain current data infrastructure for performance, scalability, and reliability across all data workflows. Influence code reviews through WellSky solution subject matter expertise. Develop and train teammates for data security, architecture, and governance requirements while maintaining data quality standards through automation. Adhere to WellSky core values, ensure PHI data security, and adapt to changing BI technologies. Required Qualifications: 8+ years of hands-on experience with Tableau Desktop and Tableau Server in a client facing setting. Demonstrated ability to optimize dashboard performance , from workbook design to server configuration. Proficiency in SQL and dimensional modeling for analytics-ready data sources . Deep knowledge of Tableau Server administration , including REST API, Tabcmd, and TSM. Strong understanding of row-level security and role-based access control. Experience working with SQL Server , Snowflake , or BigQuery as BI data sources. Familiarity with data transformation tools such as DBT . Excellent collaboration and communication skills with both technical and non-technical audiences. Preferred Qualifications: Exposure to Sisense and willingness to assist during transition or co-support periods. Knowledge of GCP infrastructure , especially IAM and BigQuery. Background in healthcare analytics or HIPAA-compliant data environments. Preferred Certifications: Tableau GCP Sisense Job Expectations: Willing to work additional or irregular hours as needed Must work in accordance with applicable security policies and procedures to safeguard company and client information Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Remote WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference. WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace. Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates. Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky: Excellent medical, dental, and vision benefits Mental health benefits through TelaDoc Prescription drug coverage Generous paid time off, plus 13 paid holidays Paid parental leave 100% vested 401(K) retirement plans Educational assistance up to $2500 per year

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) This is a Stanford Health Care job. A Brief Overview Manages a team of Data Analysts engaged in analyzing complex data structures to generate business insights and to track and improve operating efficiency, costs and service goals. Develops reports to monitor business critical results. Responsible for conducting User Acceptance Test for Enterprise Data Warehouse (EDW). Works with various business functions to identify data mining needs and provide required data solution / analysis. Provides expert advice to various business units for data consultation, gathering and analysis. Manages projects, including training planning and Enterprise Data Warehousing planning that involve multiple functional areas within the enterprise and will responsible for ensuring timely project schedules, establishing milestones, budgets, and outcomes. Locations Stanford Health Care What you will do Administers Business Analysts certification program and cultivates an empowered environment for the Business Analysts. Builds working relationships across business units to advance the Analytics initiatives. Conducts training and user acceptance testing of Cognos/EDW deployment. Delivers enterprise reports, metrics, and dashboards that are not within the scope of a business unit. Develops department operational plans and goals to support business and organization wide Analytics initiatives. Participates with senior management in developing budgets, resource allocation, operational policies and other departmental decision making processes. Drives new data requirements and usage, and test strategy. Facilitates discussions on nomenclature inconsistencies and drives consensus to support the Data Governance activities Hires, trains, coaches, counsels and evaluates performance of direct reports. Manages, participates and coordinates the development and implementation of new/revised processes and procedures, such as developing new programming standards or guidelines. Meets monthly with business units to discuss issues, concerns, areas for improvements, shares information and best practices. Provides expert advice on Analytics to the business units, e.g., development and deployment of reports, dashboards, metrics, and queries. Works with vendors to improve products / tools based on user requirements and determines tools upgrade schedule. Education Qualifications Bachelor's Degree in a work-related field/discipline from an accredited college or university Experience Qualifications Seven (7) years of progressively responsible and directly related work experience Required Knowledge, Skills and Abilities Ability to collaborate effectively with a multidisciplinary team Ability to collect and record data, evaluate data and statistics, and maintain effective reporting systems Ability to communicate effectively, both orally and in writing Ability to manage, coach, mentor, train, and evaluate work results Ability to plan, prioritize and meet deadlines Ability to provide leadership and influence others Ability to work effectively with individuals at all levels of the organization Knowledge of federal and state laws related to area of responsibility Knowledge of quantitative analysis These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family’s perspective: Know Me: Anticipate my needs and status to deliver effective care Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $76.90 - $101.91 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

At EverQuote, we're embarking on an exciting transformation in our approach to data management, moving towards a Data Mesh as our future state. As the Engineering Manager - Data Enablement, you will be responsible for leading a team of engineers focused on building and scaling the EQ data platform. You will provide technical leadership to drive best practices in data engineering, data governance, and data product development, while also being a people leader—mentoring engineers, fostering career growth, and ensuring effective team collaboration. Your team works closely with data analytics, data science, and software engineering teams to develop the tools, frameworks, and platforms that enable teams to build reliable, scalable, and well-governed data products. You will play a key role in helping us shape our data mesh strategy acting as a conduit between engineering and analytics. Who you are: 8+ years experience in data engineering, particularly in building scalable data platforms using cloud-native technologies. Experience with modern data stack tools like dbt, Snowflake, Github and AWS. Knowledge of data governance, security, and compliance standards. Familiarity with data contracts, data mesh principles, and domain-driven data modeling. Experience with CI/CD for data pipelines and best practices for observability and monitoring. Prior experience as an engineering manager or tech lead with a track record of growing high-performing teams. Strong cross-functional collaboration skills—ability to work with engineering, data science, analytics, and business teams. Experience in driving adoption of self-service platforms and improving the developer experience. Excellent stakeholder management and the ability to align technical execution with business priorities. Experience working in a data mesh or distributed data ownership model. Previous experience with data platform engineering in a lead generation, financial, or enterprise-scale environment. Experience working in an enablement team that provides tools and services to other teams. What you'll do: Own and drive the data enablement strategy, ensuring teams can build and operate high-quality data products efficiently. Provide technical direction for data engineering best practices, including data modeling, data contracts, governance, security, and compliance. Ensure that the EQ data platform is scalable, cost-efficient, and user-friendly for engineering and analytics teams. Drive adoption of self-service tooling for data discovery, lineage tracking, and data quality monitoring. Partner with Platform Engineering to integrate cloud infrastructure, CI/CD practices, and observability into data workflows. Collaborate with DS and analytics teams to ensure a seamless pipeline from raw data to production-ready models and insights. Lead and grow a team of high-performing data engineers, fostering a strong culture of learning, collaboration, and continuous improvement. Provide mentorship and coaching to help engineers advance their careers and technical skills. Foster a strong DevOps and engineering culture, with a focus on automation, developer experience, and self-service capabilities. Build and maintain strong relationships with cross-functional stakeholders, advocating for the right balance between innovation, delivery, and operational stability. Work closely with product management and leadership to define team roadmaps, priorities, and key outcomes, aligning them with business objectives. What Success Looks Like: Standardization & Governance: Teams are successfully adopting data contracts, governance practices, and data engineering best practices. Catalog for our data products: Engineering and analytics teams can self-serve most of their data needs through well observed and governed data products. Scalability & Efficiency: Data pipelines and platforms are cost-efficient, scalable, and well-monitored. Team Growth & Performance: Engineers feel supported in their growth, and the team consistently delivers high-impact work. About Us: EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online. EverQuote is committed to building a welcoming, respectful and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status. We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role.

Company Description PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate: We challenge the status quo with creativity and innovation as our true north. Better together: We check our egos at the door. We work together, so we win together. We are seeking an experienced Staff Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our company's data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. The Staff Data Engineer works directly with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. Duties & Responsibilities: Design, develop, and maintain our data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. Work with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. Develop and maintain ETL pipelines and data integration workflows. Optimize and fine-tune data structures and queries to ensure high performance and scalability. Develop and maintain data quality and data governance processes. Collaborate with cross-functional teams to define and implement data models that support business requirements and new analytic models and algorithms. Ensure that data is collected, stored, and processed in compliance with data privacy regulations. Develop and maintain documentation for all data-related processes and systems. Stay up-to-date with emerging trends and technologies in the data engineering field. Qualifications Technical Skills: Expertise in SQL and NoSQL databases, data warehousing, and data modeling. Fluency in Python and SQL. Additional data or system languages (e.g. Java, Scala, Go, R) a plus. Experience with data warehousing technologies such as Google BigQuery, Delta Lake, Amazon Redshift or Snowflake. Experience using data pipeline frameworks such as Apache Beam or Apache Spark at scale. Experience with data orchestration / automation frameworks such as Airflow, Databricks and MLFlow. Experience with data modeling and data governance best practices. Experience with data visualization tools such as Tableau or Power BI. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years experience in data engineering, with a track record of designing, developing, and maintaining large-scale data infrastructure. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related field. Experience in machine learning or data science. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At PG Forsta we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Additional Information for US based jobs: Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class. Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $140,000 to $160,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/