Auto-apply to these data science jobs

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities Design and implement high-performance data processing infrastructure for large language model training Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability Build robust systems for data quality assurance and validation at scale Implement comprehensive monitoring systems for data processing infrastructure Create and optimize distributed computing systems for processing web-scale datasets Collaborate with research teams to implement novel data processing architectures Build and maintain documentation for infrastructure components and systems Design and implement systems for reproducibility and traceability in data preparation Qualifications 5+ YOE outside of internships Strong software engineering skills with experience in building distributed systems Expertise in Python and hands-on experience with distributed computing frameworks, particularly Apache Spark Deep understanding of cloud computing platforms and distributed systems architecture Experience with high-throughput, fault-tolerant system design Strong background in performance optimization and system scaling Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Preferred Experience Advanced degree (MS or PhD) in Computer Science or related field Experience with language model training infrastructure Strong background in distributed systems and parallel computing Expertise in tokenization algorithms and techniques Experience building high-throughput, fault-tolerant systems Deep knowledge of monitoring and observability practices Experience with infrastructure-as-code and configuration management Background in MLOps or ML infrastructure You'll thrive in this role if you Have significant experience building and maintaining large-scale distributed systems Are passionate about system reliability and performance Enjoy solving complex technical challenges at scale Are comfortable working with ambiguous requirements and evolving specifications Take ownership of problems and drive solutions independently Are excited about contributing to the development of safe and ethical AI systems Can balance technical excellence with practical delivery Are eager to learn about machine learning research and its infrastructure requirements Sample Projects Designing and implementing distributed computing architecture for web-scale data processing Building scalable infrastructure for model training data preparation Creating comprehensive monitoring and alerting systems Optimizing tokenization infrastructure for improved throughput Developing fault-tolerant distributed processing systems Implementing new infrastructure components based on research requirements Building automated testing frameworks for distributed systems At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! The expected salary range for this position is: Annual Salary: $315,000-$425,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Imagine how your ideas and expertise can change a patient's life. We generate extensive clinical evidence to demonstrate the effectiveness and safety of our innovations and how our products transform patients' lives. As part of our Clinical Affairs team, you'll hone your scientific curiosity and passion for evaluating data to increase access to pioneering technologies for patients in need. In close partnership with principal investigators, dedicated medical professionals, patient advocacy groups, and regulatory authorities, you will drive the evidence needed to optimize patient outcomes. Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and undertreated. Edwards' groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. As the Senior Clinical Data Manager, you will translate clinical study business requirements into system requirements for the collection and management of data from clinical trials. Additionally, you will ensure the quality and integrity of data collected in clinical studies, maintain the privacy of patient data, and efficiently record and report safety-related issues. The ideal candidate will reside in the Western United States region. How you will make an impact: Create complex metrics to identify trends in data and remediation, utilizing tools (e.g., systems, reports) to assess need for training and provide recommendations to improve data status during study conduct Define and specify clinically complex data collection requirements (e.g., eCRFs, CRFs, edit checks and collection of external data) for assigned studies; including defining, performing, and coordinating user acceptance testing (e.g. test scripts and checklists) to ensure appropriate data are collected. Lead project management activities for multiple (multi-site and multi-cohort) projects to bring clinical studies on-line, including conducting project team meetings, establishing and maintaining project timelines, and communications to stakeholders. Develop and maintain Data Management deliverables including data management plans (DMPs), training materials and user aids in compliance with regulations Evaluate data errors and collection issues; provide guidance and recommendations to clinical team for resolution Perform Site/User Administration to allow access to the database, ensuring all users are qualified to access data base; may provide guidance on more complex access rights for users Lead development and review of SOPs, work instructions, and associated documents for CDM, including recommending revisions and updates to SOPs, participating in the development of user training. Other incidental duties assigned by Leadership What you'll need (Required): Bachelor's degree and 5 years of previous related experience in clinical research including clinical data management and/or clinical data entry OR Associate degree or equivalent in a related field and 7 years of previous related experience in clinical research including clinical data management and/or clinical data entry Experience with Medidata Rave EDC (Electronic Data Capture Ability to travel up to 20% to the corporate office What else we look for (Preferred): Proficiency in Microsoft Power BI. Experience using Power BI for data visualization and analysis. This includes the ability to create and manage ad hoc reports in Power BI to support clinical data management needs. Experience in clinical data programming, including building and maintaining databases, and performing data migration tasks to ensure seamless integration and accuracy of clinical data. Full knowledge of protocols, DMPs, SAPs, Database Specification, and Data Validation Specification Proven expertise in Microsoft Office Suite Advanced Excel skills (pivot tables and formulas) Project management skills and lead cross functional meetings Full knowledge of processes and procedures in clinical data management Excellent written and verbal communication skills and interpersonal relationship skills including negotiating and relationship management skills. Excellent problem-solving and critical thinking skills Must be able to work in a team environment, including inter-departmental teams and key contact representing the organization on projects. Ability to interact with senior internal and external personnel on significant matters often requiring coordination between organizations Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For California (CA), Colorado (CO), Illinois (IL), Maryland (MD), Nevada (NV), New York City (NY) and Washington (WA), the base pay range for this position is $106,000 to $135,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities. COVID Vaccination Requirement Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Senior Software Engineering Manager Financial Data and Analytics to lead and manage the development and implementation of our Finance Data Analytics platform. This role requires an individual with a blend of deep expertise in financial systems and strong experience in data technologies. The ideal candidate will be responsible for driving the design, integration, consolidation and normalization of financial data from disparate systems that enables improved data-driven decision making, actionable insights that is accessible to all stakeholders. The Finance Systems Leader for Financial Data and Analytics is an engineering leader who works with the business and engineering staff to innovate and build the financial analytics solution to support large data sets and complex actuarial models. This role reports to the Sr Director FP&A Tech and will be vital to driving the evolution of financial reporting and analytics capabilities. The successful candidate will lead and build a high performing technical team and be responsible for the development and delivery of financial data applications and analytics. Position Responsibilities As the Senior Manager of our Finance Data warehouse/lake you will: Lead the design, build and optimization of the Finance Data Warehouse, with a focus on structuring financial data for advanced analysis and insights. Collaborate with cross-functional teams (Finance, Tech, Business Intelligence, etc.) to build and maintain finance data models, dashboards, and reports that meet business and reporting needs. Guide the development of self-service analytics tools and dashboards, empowering business units to generate insights independently. Drive the development of advanced analytical capabilities such as predictive modeling, trend analysis, AI and financial forecasting. Leverage finance system knowledge to ensure seamless integration of financial data from ERP systems, sub-ledgers and other enterprise sources. Collaborate with FP&A, Pricing and other Finance teams to champion a culture of data-driven decision making by providing education, support and tools. Establish and enforce strong data governance standards to ensure high-quality, consistent, accurate and secure financial data. Develop and deploy advanced financial reporting and analytics tools, enabling senior leadership to make informed decisions Manage a team of data engineers providing mentorship, guidance and support for career development. Facilitate Business and Technology discussions at various leadership levels to build technology roadmaps to ensure alignment towards long term finance objectives. Share your passion for staying on top of tech/industry trends, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community. Consistently share best practices and improve processes within and across teams. Qualifications 20+ years of Technology Systems experience 15+ years of management or lead experience in guiding Technology teams 5+ years experience in financial analytics, financial data analytics or financial planning and analysis technologies Experience working with or managing a Finance Data Warehouse / Lake is preferred Strong background in financial modeling, analytics and reporting tools (e.g. PowerBI, Tableau, SQL, Excel). 5+ years of experience with ERP systems (Oracle, Workday, SAP, PeopleSoft) and FP&A systems (Oracle EPM, TM1/Cognos) is highly desirable. Familiarity with data governance frameworks, especially in the context of financial data. Experience in driving the adoption of financial analytics tools and dashboards across different teams and levels of the organization. Understanding of Accounting process; Controls; Security; and SOX to partner with senior Finance Leaders Ability to translate complex financial data into meaningful insights and actionable recommendations for business leaders. Knowledge of advanced analytics techniques, such as financial forecasting, predictive analytics or machine learning is a plus Experience with developing systems that are scalable, resilient, and highly available Ability to communicate and work directly with business leaders across Technology and Finance Solid understanding of project management techniques, methodologies, and best practices. Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Ability to prioritize workload and execute tasks independently, providing timely follow-up and resolution. Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent education or work experience Annual Salary $150,000.00 - $300,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Who Are We? GOBankingRates is a dynamic multimedia content platform dedicated to empowering people to lead richer lives. We deliver curated editorial content that covers the six key principles of financial literacy - earning, saving, investing, spending, borrowing and protecting money. Our mission is to provide expert insights that give readers the confidence to make smart financial decisions today, tomorrow and for years to come. As a proud member of Gen Digital, a global leader in digital safety, GOBankingRates is amplifying its impact by aligning with a broader vision to create a secure and empowered digital world. Gen Digital unites trusted brands like Norton, Avast, LifeLock, Avira, AVG, ReputationDefender and CCleaner to protect over 500 million people worldwide. Together, we combine GOBankingRates' expertise in financial empowerment with Gen Digital's cutting-edge technology and commitment to digital safety, ensuring individuals can navigate their financial journeys with confidence and security. As part of the Gen Digital family, GOBankingRates fosters an inclusive workplace where your well-being and bold ideas thrive. We believe that when you're empowered to be your authentic self, you're unstoppable. Join us to shape the future of financial literacy and digital safety, and become part of #TeamGen, where your passion for helping others drives meaningful impact. Ready to empower people to live richer, safer lives? Join GOBankingRates at Gen Digital today! How We Work? Our hybrid work style (50% at least working from the office) gives us the face-to-face time to have creative conversations, meaningful meetings, make quick decisions and build relationships. And it's flexible enough to give you the space to do your best work. Mission and Goals As a Data Engineer II on our Data Engineering team, you will play a key role in supporting core projects such as Advertiser Ingests. You'll apply your technical expertise to enhance our data processes and contribute to our continued growth. Reporting to the Director of Data Engineering, you'll collaborate with a driven team focused on building reliable, scalable data solutions that power business insights and decision-making. Objectives Support and maintain data ingestion processes by addressing bugs, implementing feature enhancements, and ensuring data accuracy. Collaborate with stakeholders to ingest advertiser data extracts and optimize pipelines for performance and reliability. Contribute to business insights by maintaining clean, reliable data flows Competencies 3-5 years of hands-on experience as a Data Engineer, preferably in digital media or personal finance. Foundational understanding of digital marketing concepts and their relevance to data-driven decision-making. Strong proficiency in SQL and Python for data transformation, querying, and automation. Experience with modern data tools such as DBT and Airflow (or similar workflow orchestration tools). Ability to build, enhance, and troubleshoot ingest pipelines. Proficient in working with Snowflake or other cloud-based data platforms for data storage, querying, and optimization. Attention to detail in identifying and resolving data quality issues, bugs, and inconsistencies in advertiser data extracts. Ability to align data initiatives with business objectives. Benefits At Gen Digital, we are committed to supporting our employees' well-being and professional growth. Our comprehensive benefits package for U.S. team members includes: Health & Wellness- Access to medical, dental, and vision insurance plans, telemedicine services, and health savings accounts (HSAs). Financial Security- 401(k) retirement plan participation, company-paid life and accidental death & dismemberment (AD&D) insurance, plus opportunities to invest through our Employee Stock Purchase Plan (ESPP). Work-Life Balance- Generous paid time off (PTO), company holidays, and various leave options to support personal and family needs. Professional Development- Annual education reimbursement (up to $5,250) for job-related courses. Wellness Reimbursement- Up to $450 per year to cover fitness-related expenses. Additional Perks- Access to commuter spending accounts, legal assistance plans, family support services, and exclusive employee discounts. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

Boston, New York, Toronto Sr. Lead Data Engineer ____ WHO WE ARE Oliver Wyman Digital is a ground-breaking division within Oliver Wyman delivering world-class solutions to give our clients a competitive edge. We work across the full technology stack from databases and analytics to APIs and web and mobile applications. With a mixture of over 300 consultants, specialists and support professionals in 16 major cities across the world, we're committed to growth that retains our start-up agility while expanding our opportunities for world-class work. ____ THE ROLE AND RESPONSIBILITIES No two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. The Sr. Lead Data Engineer will serve as a keystone on our larger projects, enabling us to deliver solutions hand-in-hand with consultants, data science specialists, and software engineers. The Data Engineer is the universal translator between IT, business, software engineers, creative designers, behavioral science, and Data Scientists, working directly with clients and project teams. S/he works to understand the business problem being solved, the data required to do so, and the tools to make the data impactful. As a Sr. Lead Data Engineer, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered by a multi-disciplinary team of OW Digital specialists and consultants. Your responsibilities will include, for example: Understanding the overall problem being solved and what flows into it Building tools, platforms, and pipelines to enable teams to clearly and cleanly analyze data, build models, and drive decisions Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement Determining and fulfilling functional and non-functional requirements while ensuring alignment with budgetary and financial objectives Scaling up from "laptop-scale" to "cluster scale" problems, in terms of both infrastructure and problem structure and technique Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases Engage with stakeholders across various levels to ensure project alignment and manage expectations effectively Collaborating with clients to understand, advise, and recommend on strategic sourcing (internal versus external) Joining colleagues in an Oliver Wyman office or client site at least 50% of the time to collaborate and learn ____ YOUR EXPERIENCE You are a well-rounded delivery-minded technologist who brings a wealth of real-world experience with: You are a well-rounded technologist who brings a wealth of real-world experience and a: Technical background in computer science, software engineering, database systems, distributed systems Familiarity with statistics, data science, and machine learning A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value Proven ability to design scalable architecture tailored to client requirements, ensuring alignment with budgetary constraints, project timelines, and financial objectives through effective trade-off analysis Expertise in applying best practices for various data architectures (e.g., event-driven, batch, real-time data integrations) focusing on efficient solutions that meet project needs without unnecessary complexity. Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale Ability to context-switch, to provide support to dispersed teams which may need an "expert hacker" to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value An 'engineering' mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties Use of agile and DevSecOps practices for project management and software delivery Demonstrated expertise building backend services with some of the following common languages and tools: Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools Spark (Scala and PySpark), HDFS, Kafka and other high volume data tools SQL and NoSQL database technologies, such as MySQL, Postgres, Cassandra, MongoDB and ElasticSearch Interest/background across sectors (e.g, Financial Services; Health and Life Sciences; Consumer, Retail, Energy, or Transportation) A minimum of 6+ years of experience as a data engineer ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program Willingness to be agnostic to a variety of programming languages (e.g. Python, Java, C#, GoLang) and technical stack based on client requirements A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support and recognition. Progressive employment Flat organizational structures, resolute I&D values and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. We are committed to providing our people with growth opportunities via professional training, personal development, and diverse roles and responsibilities. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you. You can submit your CV on our site -please include a short email introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ About Oliver Wyman Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $195-$240k. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and 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. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates extensive abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using GCP services; Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP; Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using GCP; Optimize Cloud resources for cost, performance, and scalability; Possess strong proficiency in SQL and experience with relational databases; Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Possess proven analytical, problem-solving, and communication skill; and, Work independently and as part of a team in a fast-paced environment. Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $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

RDQ226R497 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. You will be a Sr Product Manager for Unity Catalog ( https://databricks.com/product/unity-catalog ). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Design and launch new governance and security capabilities as part of Unity Catalog. Define and build new platform services that enable Databricks' data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse. Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments. Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. What we look for: 5+ years of enterprise B2B Product Management experience Educational background in computer science or related engineering practice. Experience working with databases and/or data warehouses, security, and catalogs. Experience building user-facing products for Data Analysts, Scientists, and/or Engineers. Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.). Experience in working closely with enterprise customers and ISV partners in the data market.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate 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. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you are responsible for leading technology workstreams within larger projects, managing client expectations and identifying opportunities for additional engagement. As a Senior Associate, you are tasked with analyzing complex problems, mentoring others, and maintaining exemplary standards. You are expected to build and maintain client relationships, apply modern, cloud-based technology skills, and contribute to the growth and profitability of the practice through innovative technology solutions and strategic initiatives. Responsibilities Lead technology workstreams and manage client expectations Identify opportunities for further client engagement Analyze intricate problems and develop impactful solutions Mentor team members to uphold exemplary standards Build and sustain enduring client relationships Utilize modern cloud-based technologies to drive innovation Contribute to practice growth through strategic initiatives Deliver exceptional work in every project What You Must Have Bachelor's Degree 2 years of experience What Sets You Apart Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics preferred Certification in one of the following cloud platform providers - AWS/Azure/GCP/Snowflake/Databricks Leading technology workstreams within larger projects Building and maintaining client relationships Applying modern, cloud-based technology skills Providing technical leadership within specific technology domains Designing and developing scalable data warehouse solutions Familiarity with CI/CD, cloud devops, containers Establishing industry presence and maintaining professional networks 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. The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: We are seeking a talented, enthusiastic, and detail-focused Senior Data Engineer to join our Finance BI & Systems team. In this pivotal role, you will take on significant data challenges, designing, building, and optimizing the data infrastructure that powers our financial reporting and automation. You will manage our Snowflake data warehouse and develop robust, scalable ETL/ELT pipelines. This role is perfect for someone passionate about data, with a strong engineering mindset, and a keen interest in applying these skills within the financial domain to drive efficiency and insight. What you'll do: Design, develop, and maintain scalable and reliable data pipelines (ETL/ELT) to ingest, process, and transform financial data from various sources into our Snowflake data warehouse. Develop and optimize data models within Snowflake to support financial reporting, business intelligence, forecasting, and advanced analytics needs. Act as a subject matter expert for Snowflake within the Finance team Collaborate closely with Finance stakeholders (including FP&A, Accounting, and Strategic Finance), BI analysts, and other engineering teams to understand data requirements and deliver high-quality data solutions. Build and support foundational data sets and data products that empower self-service analytics and reporting for the Finance team. Implement and enforce data governance policies and best practices to ensure data quality, integrity, security, and compliance. Write clear, maintainable code and comprehensive documentation for data pipelines and processes. Troubleshoot and resolve data-related issues in a timely manner, ensuring minimal disruption to financial operations. Contribute to the continuous improvement of our data engineering standards, tools, and processes. Operate effectively as part of a team while also demonstrating the ability to work independently, managing relationships, deliverables, and expectations with your business partners. Possess strong interpersonal skills, being personable, approachable, and able to connect effectively with individuals across the team and throughout the business. Remain detail-oriented while working across a wide variety of projects. What you'll need: A Bachelor's degree in Computer Science, Data Science, Engineering, a related technical field, or equivalent practical experience. 5+ years of hands-on experience in data engineering, with a focus on building and maintaining data warehouses and ETL/ELT pipelines. Proficiency in core data engineering technologies, including: Data Warehousing: Snowflake (primary), experience with PostgreSQL. Programming/Scripting: Python, SQL. ETL/ELT & Orchestration: Airflow, dbt, and experience with tools like MuleSoft, Fivetran, or similar. Cloud Platforms: AWS. Version Control/CI/CD: GitLab. Broad proficiency in relational database platforms and significant experience with cloud data warehouse platforms such as Snowflake, and familiarity with others like Redshift, or Google BigQuery Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans. Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences, particularly within a finance context. Demonstrated ability to work collaboratively in a fast-paced, agile environment. A proactive and detail-oriented approach to your work. Strong Plus: Experience working directly with financial data (e.g., general ledger, financial planning, transactions). Experience deploying resources using Infrastructure as Code - IaC tools (i.e. Terraform) Familiarity with Finance ERP systems (e.g., Workday, NetSuite) and Financial Planning & Analysis (FP&A) tools (e.g., TM1/Planning Analytics). Experience with data visualization tools (e.g., Tableau, Power BI) Experience in the Fintech or banking industry. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $124,800.00 - $234,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Industry/Sector CM X-Sector Specialism Customer Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Customer Insight and Experience Data and Analytics team you are expected to participate in client discussions and meetings, manage engagements, and drive end-to-end content transformation at client organizations. As a Senior Associate you are expected to analyze complex problems, mentor others, and maintain standards. You are also responsible for advising clients on the selection and implementation of Content and Digital Asset Management platforms, creating and executing content strategies, and consulting on enterprise-wide content and digital asset solutions. Responsibilities Participate in client discussions and meetings Manage engagements and drive content transformation Advise clients on Content and Digital Asset Management platforms Create and execute content strategies Consult on enterprise-wide content and digital asset solutions Analyze complex problems and mentor team members Maintain elevated standards in deliverables Build meaningful client relationships What You Must Have Bachelor's Degree 3 years of experience What Sets You Apart Master's Degree preferred Adobe Experience Manager Business Practitioner Professional and/or Specialist Adobe Experience Manager Sites/Assets Developer Professional and/or Specialist Adobe Experience Manager Sites Architect Master Participating in client discussions and meetings Communicating a broad range of Firm services Managing engagements and maintaining project economics Understanding of marketing content and asset technology landscape Driving end to end content transformation at client organizations 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: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Established in 2009 by Steve Casey, Casey Construction is a Commercial Drywall & Floor Prep contractor built upon a family tradition of building relationships and providing quality interior finishes. Casey provides services all throughout the metro Washington, DC area and Raleigh, North Carolina. Our projects range across a variety of industries including life sciences, healthcare, law, government, and technology, which primarily consist of tenant fit-outs and interior renovations. Position Summary: The Drywall Project Manager will project manage work while building excellent lasting relationships with our customers. The PM will manage the project from hand-off to completion. Responsibilities: Oversee multiple construction projects from start to finish, including the management of personnel on projects Attend on site project meetings with clients as required Process RFI's, Shop Drawings, Submittals, Daily Job Reports and other required forms Read and interpret construction drawings and specifications Oversee all phases to ensure routine actions of the job Make certain work is being built in accordance with contract documents Ensure material coordination and correctness with Supers and others Implement contract preparation, on-site coordination quality control and tracking costs Oversee/manage material, equipment, contracts, and budgets Maintain understanding of all local, city, and state building codes in assigned locations Continuously develop and improve upon knowledge for all product lines Ensure all are committed to safety and quality Other duties as assigned Minimum Qualifications: Must have a minimum of five (5) years of experience working in commercial drywall trade with some experience in technology/data centers. Knowledge, Skills & Abilities: Knowledge of local material, labor, and equipment costs Ability to multi-task Excellent organizational skills Ability to lead with customer service and schedules in mind

Data Entry Technician Employment Type:Full-Time, Mid-Level /p> Department: Legal As a Data Entry Technician for CGS, you will maintain the database by entering and updating customer and account information. The ideal candidate should be a savvy typist as well as excellent skills in overseeing data. The integrity of data is of utmost importance and CGS is looking for someone who is detail-oriented and is comfortable working in a fast-paced environment. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Work collaboratively with other team members and supervisors to ensure that best practices are shared. Procure data through observation, interviews, and analysis of records and other sources to include the utilization of electronic equipment. Maintain databases by entering new and updated records and related information. Verifies data and prepares materials for pdf printing. Maintain data entry requirements by following data program techniques and procedures. Purges files to eliminate duplication of data. Qualifications: Bachelor's degree in computer science or related field. 1+ year of Data Entry Experience. 3+ years of MS Office experience. Excellent typing skills. Excellent communication skills. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and delivering the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $27,178.67 - $34,944 a year

The Data Analytics Engineer applies engineering best practices to public transit software systems and products. This is a new role in Customer Technology and will involve evaluating new and emerging data technologies as well as leveraging existing data systems. We use cloud services, open-source software, and modern tools as much as possible. Knowing what to build and reuse ensures that we optimize our time and efforts so we can focus on delivering the best value to our riders. Duties and Responsibilities: Write production-quality software Create appropriate unit and integration tests Deliver product features on time Structure data for consumption by other MBTA departments Design systems and architectures that scale Communicate openly with the team about issues and improvements Collaborate with other engineers to reason through code together Protect the data security and privacy of the MBTA and its riders Help team members learn skills and overcome obstacles Work and communicate effectively with product, design, and other stakeholders within the MBTA Minimum Requirements and Qualifications: Solid understanding of fundamental programming concepts Interest in applying functional programming to solve problems At least two years of professional experience writing software Willingness to work on front and backend depending on the product need Preferences include: Experience with Elixir (can be learned on-the-job), Python, Ruby, or SQL Experience with AWS Glue or Spark Experience with Terraform or other Infrastructure-as-Code tools Experience with Tableau, PowerBI, or other analytics tools Experience with GTFS or real-time information Location: This role can be 100% remote or hybrid. As a contracted role for the MBTA, we are only able to employ people living in the following states - ME, MA, NH, RI, and VT. At this time, we are only able to hire US residents who will reside in the US for the duration of their employment Compensation: Pay rate range is $75 - $98 per hour (W-2), up to 1880 hours per year.

Engineer Lead Senior- Data and Analytics Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Atlanta, GA, Richmond, VA, Woburn, MA, Indianapolis, IN, Norfolk, VA Wallingford, CT, Wilmington, DE, Louisville, KY or Mason, OH. The Engineer Lead Senior- Data and Analytics is responsible for leading the end-to-end application system development and maintenance on large complex enterprise-wide technology platforms. How you will make an impact: Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business. Leads efforts with web and marketing teams to increase the presence of web products. Anticipates broad technical change and ensures that company technology stays ahead of the curve. Prioritizes projects and make trade-offs with respect to the enterprise systems changes based on broader business needs. Understands the entire architecture for a major part of our business and articulates the scaling and reliability limits. Owns the change request process and coordinates with other teams as necessary. Develops and owns list of final enhancements. Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written. Performs technical design reviews and code reviews. Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan. Delivers technology solutions and data information planning effort. Participates in developing the multi-year technology strategy for critical areas of the business that may encompass multiple systems. Partners with technical and non-technical stakeholders to identify the long-term technical trajectory of the technology infrastructure. Creates architecture and anticipates future technology needs. Leads the conversations internally about the direction of major areas of the technology, drives wide-team consensus to the adoption of this direction, and uses this direction when engaging engineers. Coordinates and manages on-call support and owns the system monitoring process. Reviews and monitors initiatives for end-to-end impact and coordination. Participates in review and decision making for enterprise solutions Minimum Requirements: Requires an BA/BS degree in Information Technology, Computer Science or related field of study a minimum of 9 years of experience; multi-dimensional platform experience, expert level experience with business and technical applications; or any combination of education and experience, which would provide an equivalent background Preferred Skills, Capabilities and Experiences: Data engineering and solution architecture experience in medium to large complex cloud and on-prem technology platforms for analytic applications highly preferred. Experience in SQL, specifically writing complex SQL dealing with large volumes of data in one or more databases (Teradata, Snowflake or SQL Server) highly preferred. Experience with dashboarding and reporting methodologies, and tools such as Tableau, and Thoughtspot highly preferred. Experience in predictive models, statistical analysis, and risk adjustment methodologies using Python or R highly preferred. Experience mentoring others drive teams to achieve results, lead multiple or large projects and provide troubleshooting supports highly preferred. Multi database and/or multi language highly preferred. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Date Posted: 2025-03-19 Country: United States of America Location: OT999: 1CP - Farmington, CT One Carrier Place, Farmington, CT, 06032 USA Job Title Data Scientist - Digital Technology Rising Leaders Program Role Overview: The Digital Technology (DT) Rising Leaders Program in data science is an exciting early career rotational program designed for recent graduates with a master's or PhD degree in a technology-related field. This two-year program aims to develop future leaders for our DT Organization through a fast-track system of three dynamic rotations, each lasting eight months. Participants will gain hands-on experience in key areas such as Data Science & Analytics, Business Applications & Mobility Program Delivery, Enterprise & Cloud Architecture, and our innovative Otis Accelerator (OX). Upon completion of the program, participants will transition into the role of a Data Scientist, equipped with the skills and experience necessary to excel in this position. On a typical day you will: Rotational Program: Participate in dynamic 8-month rotations across key Digital Technology functions, gaining exposure to core systems and processes. Work on impactful, real-world projects that address critical business challenges and contribute to the digitalization of Otis operations globally. Collaborate with rotation managers and mentors to deepen technical knowledge, develop innovative solutions, and build cross-functional leadership capabilities. Engage with the DT Engagement Teams and DT Energy Board to support strategic initiatives and broaden your network. Provide updates on your progress and impact through system-based tracking tools, ensuring transparency and alignment with program goals. Contribute to the development and execution of organizational strategies that leverage technology for long-term success. Data Scientist Responsibilities: Research and develop advanced AI models and algorithms to solve complex problems. Design and implement machine learning, deep learning systems, and other data science solutions to solve specific business problems. Analyze large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate AI and data science solutions into products and services. Stay updated with the latest advancements in AI and data science technologies. Communicate effectively with colleagues and stakeholders. What You Will Need to be Successful: Advanced degree (master's and/or Ph.D.) required in Data Science, Operations Research, Statistics, Computer Science, Mathematics, or a comparable field. (Ph.D preferred). Good business acumen, interested in business processes, and can translate business problems into technical solutions. Proficiency in programming languages such as Python. Advanced knowledge of SQL and database management. Strong background in machine learning, deep learning, statistical modeling, and/or optimization. Experience with GenAI/AI/deep learning frameworks and libraries. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: Experience with mediating data quality issues, including measuring data quality, determining sources of quality issues, and solving them. Experience with cloud platforms like Azure or Google Cloud. Familiarity with big data technologies such as Hadoop or Spark. The salary range for this role is $80,000-$85,000. We may pay more or less than the posted range, and the range may change in the future. Pay within the salary range will be based on factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. At Otis, we are dedicated to supporting the well-being and growth of our employees through a comprehensive benefits package. As a participant in the Digital Technology Rising Leader Program, you will enjoy competitive health, dental, and vision coverage, along with a 401(k) retirement plan with company contributions to secure your financial future. Our Employee Scholar Program provides opportunities to further your education and develop new skills, while mentorship and leadership development initiatives help you grow personally and professionally. We also prioritize work-life balance with generous paid time off, including vacation days and holidays. As part of a global team, you will thrive in a collaborative and inclusive environment that values innovation, diversity, and belonging, empowering you to make a meaningful impact in your career. Apply today to join us and build what's next! If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day. Otis is the world's leading elevator and escalator manufacturing, installation, and service company. We move 2 billion people every day and maintain approximately 2.2 million customer units worldwide, the industry's largest Service portfolio. You may recognize our products in some of the world's most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 69,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company. When you join Otis, you become part of an innovative global industry leader with a resilient business model. You'll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you'll gain working alongside the best and brightest, keep us connected and on the cutting edge. We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs. Today, our focus more than ever is on people. As a global, people-powered company, we put people - passengers, customers, and colleagues - at the center of everything we do. We are guided by our values that we call our Three Absolutes - prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here. Become a part of the Otis team and help us #Buildwhatsnext! Otis is An Equal Opportunity, Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Preferred Qualifications Demonstrates abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet the current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing; Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Design and manage data warehouses and data lakes, ensuring data is organized and accessible; Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-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; 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: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Job Description: The Data Center Policy and Compliance Manager will be responsible for leading the development, implementation, and lifecycle management of policy and standards documentation for the data center operations organization. This critical role ensures regulatory and industry compliance, drives standardization across operational practices, and supports the ongoing resilience and reliability of data center operations. Key responsibilities include managing vendor compliance and performance, overseeing maintenance programs, and standardizing business continuity planning across all sites. This position provides strategic oversight, program management, and expert guidance to ensure that policies, procedures, and standards are consistently applied, tracked, and continuously improved across the organization. Key Responsibilities and Essential Job Functions: Policy and Procedure Management: Monitor and maintain a comprehensive inventory of existing operational policies and procedures to ensure accessibility, relevance, and alignment with organizational goals. Lead the intake, review, and integration of new policies and procedures into the data center operations framework, ensuring timely implementation and consistency. Develop, standardize, and enforce robust business continuity planning (BCP) and disaster recovery (DR) strategies within the Operations organization to mitigate risks and enhance resilience. Compliance and Audit Management: Oversee and coordinate the audit process for Data Center Operations (DCO), ensuring accurate, timely, and thorough documentation to support compliance with internal and external requirements. Ensure ongoing regulatory compliance across all data center sites, including adherence to industry standards such as ISO, SOC, PCI, and other relevant frameworks. Proactively identify and address compliance gaps, implementing corrective actions and preventive measures as necessary. Vendor and Maintenance Management: Lead vendor management efforts by fostering strong partnerships, monitoring performance against service level agreements (SLAs), and ensuring vendor compliance with organizational policies. Oversee the execution and tracking of maintenance programs to uphold operational excellence, reliability, and compliance requirements. Maintain accurate and detailed maintenance records, providing insights to support operational decision-making and continuous improvement. Documentation and Standards: Guide the creation, standardization, and implementation of comprehensive operational standards and policy documentation for data center operations. Manage the complete lifecycle of all documentation, including version control, updates, and archiving, to ensure accuracy, compliance, and accessibility. Collaborate with cross-functional teams to integrate new standards and procedures seamlessly into daily operations. Required Qualifications 7+ in business administration, compliance, or a related field preferred; alternatively, 7+ years in data center operations with proven experience focused on documentation, standards, and compliance. Proven experience in policy management, regulatory compliance, and documentation within the data center or technology industry. Strong understanding of business continuity planning and maintenance programs. Excellent proactive communication and interpersonal skills. Ability to work collaboratively with cross-functional teams. Strong organizational and project management skills. Expertise in regulatory compliance and policy management. Proficiency in audit processes and vendor management. Ability to develop and implement standards and guidelines. Strong analytical and problem-solving abilities. Ability to communicate effectively with Operations Staff as well as interdepartmentally. Proficiency in the Microsoft Office program suite. Other training and experience may be substituted for the job requirements at the manager's discretion. Strong attention to detail, making and keeping commitments, and meeting deadlines. Physical Requirements: Ability to sit for extended periods of time Moderate or advanced keyboard usage Travel less than 25% of the time Base Pay Range: Annualized salary range offered for this position is estimated to be $100,000 - $125,000. However, the actual pay range depends on each candidate's experience, location, and qualifications. This position has the following safety hazards: ☒ Ergonomics ☒ Driving (must possess valid driver's license and insurance) Not meeting every single requirement? No problem! We are looking for candidates who possess unique skills that set them apart from the rest. If you're enthusiastic about this role and believe you have the skills and abilities that would make you successful, don't hesitate to apply today! Benefits of working at Flexential: Medical, Telehealth, Dental and Vision 401(k) Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) Life and AD&D Short Term and Long-Term disability Flex Paid Time Off (PTO) Leave of Absence Employee Assistance Program Wellness Program Rewards and Recognition Program Benefits are subject to change at the Company's discretion. EEO Statement: Flexential is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

To participate in a remote work arrangement, employees must reside in the United States. No remote work arrangement will be considered for working from outside the United States. If you are a current employee, faculty or adjunct instructor at Herzing University (not a Contractor or temporary employee through a staffing agency), please click here to log in to UKG and then navigate to Menu > Myself > My Company > View Opportunities to apply using the internal application process. The Salesforce Marketing Cloud/Data Cloud Administrator will manage and oversee the administrative operations of Herzing University's Salesforce Marketing Cloud and Data Cloud ecosystems. Education/Experience Requirements: Bachelor's Degree or equivalent work experience required. 2+ years of experience working on the Marketing Cloud platform required. Expertise in Marketing Cloud as an administrator, architect, or advanced developer with working knowledge of connectors, data extensions, and API integrations with external systems. Strong analytical mindset with experience leveraging data to drive business outcomes. Experience with ETL or middleware tools. Prior experience working in Data Cloud administrator or architect roles preferred. Marketing Cloud and/or Data Cloud Certifications preferred. Pay: Compensation is determined based on the qualifications, experience, and circumstances of each hire. It is uncommon for new employees to start near the top of the salary range. We offer a comprehensive benefits package, including a tuition waiver and reimbursement program, health insurance, paid time off, and a retirement savings plan with company match. The salary range for this position is $81,400 to $110,200. Click Here to learn more about careers at Herzing University. Responsibilities: Ensure that the Marketing technology strategy and immplementaion is aligned with the overall IT strategy. Collaborate with IT to design, oversee and/or configure technical architecture of systems utilizing the Marketing Cloud and Data Cloud platforms. Build and/or run analytics reports and dashboards to provide visibility into marketing campaign/email results and measure effectiveness. Create Data Cloud and Marketing Cloud segments and automations. Collaborate with external teams incuding IT stakeholders on integrations, security, and data governance. Provide Salesforce Marketing Cloud and Data Cloud solutions to meet business needs including design, configuration, and testing activities. Assist in Salesforce Marketing Cloud and Data Cloud in the following areas: Database Management/Cleanup and Analytics: Ensure data integrity, security, visibility, and compliance related to management and cleanliness of Data Cloud and Marketing Cloud data. Writing, running, and maintaining SQL queries and automations: Develop SQL queries and automationsto maintain Data Cloud and Marketing Cloud system stability and data accuracy. Creating and running ongoing analytics reports: Systematically create and/or run Marketing Cloud and/or Data Cloud analytics reports related to marketing automations. Herzing University is committed to providing a diverse environment and is dedicated to fostering a culture and atmosphere of mutual respect. It provides an inclusive and collegial community where individuals are valued, heard and empowered to contribute to the effectiveness of the institution. PHYSICAL REQUIREMENTS: Must be able to remain in a stationary position most of the time. Must be able to occasionally move around the work location. Constantly operates office and/or teach equipment which may include computers, copiers, fax machines, audio/visuals. Frequently uses voice and hearing to communicate with students, staff or colleagues face-to-face or over the telephone. Visually or otherwise identify, observe and assess. Occasionally move, carry, or lift 10 pounds. Must be willing to occasionally travel to Milwaukee, WI - Herzing University Home Office Applicants must be authorized to work for any employer in the U.S. We do not sponsor or take over sponsorship of an employment Visa at this time. It is the university's practice to recruit and hire without discrimination because of skin color, gender, religion, LGBTQi2+ status, disability status, age, national origin, veteran status, or any other status protected by law. https://www.herzing.edu/about/diversity Herzing University prohibits sex-based discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. The notice of nondiscrimination is located at https://www.herzing.edu/title-ix .

Join our global team dedicated to innovation and initiative, where physical walls and different time zones don't limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others. Job Description Summary The Senior Data Manager ensures DM tasks for the assigned studies are performed on time and within budget, partners with Sponsors, clinical and statistics to develop the data collection specification from all data sources The Senior Data Manager manages in-stream data flow activities and deliver a quality database in accordance with the project plan, leads and drive the DM team, and acts as the reference point for the Sponsor and the appointed person responsible for the project from the data management perspective Job Description ROLE The Senior Data Manager ensures DM tasks for the assigned studies are performed on time and within budget, partners with Sponsors, clinical and statistics to develop the data collection specification from all data sources The Senior Data Manager manages in-stream data flow activities and deliver a quality database in accordance with the project plan, leads and drive the DM team, and acts as the reference point for the Sponsor and the appointed person responsible for the project from the data management perspective. KEY RESPONSABILITIES Accountable for driving achievements of project milestones from study start up through to delivery of database Provide Data Management input into the protocol Design the Case Record Form and guide process for CRF approval Define and develop the Data Management Plan, Data Validation Plan and their annexes (e.g. Reconciliation Plan), with input from the study team Validation of the database and computerized checks, including SAS listings or SAS checks Validation of the database and computerized checks, including SAS listings or SAS checks For EDC studies, define the User Acceptance Test Plan (UAT) and execute the test activities in the test environment to ensure quality eCRF For EDC studies timely response to issues identified by the eCRF Helpdesk Prepare CRF completion guidelines Prepare study specific data-entry guidelines and train data-entry staff Perform term coding for clinical studies, raise manual queries for uncoded terms as required Query management: review discrepancies, review answered queries, resolve and close where appropriate, manage the data cleaning process including manual checks and Medical Review listings Create and test import programs for electronic data received from external vendors Perform timely data integration of CRF and non CRF data (data import from external sources) Perform reconciliation of external data (e.g. SAE, Central Labs, ECGs, etc) Run and monitor study data progress reports including query management and take appropriate actions (e.g. escalation, re-training, etc), escalate any study issues within study team Define and execute QC plan, lead and execute database release and database freeze activities Lead the DM team, coordinate other DM staff providing direction regarding work assignment, scheduling and prioritizing Input into and monitor progress against study project plan and escalate issues to resolution at the appropriate level Effectively contribute in formal training for new starters Demonstrate good application of document management process and procedures Follow SOPs and guidance documents as well as applicable industry standards like ICH, GCP etc to day-to-day activities Make recommendations for process improvements and development of new standards Develop and maintain a network of contacts within the study team Lead the DM team, coordinate other DM staff providing direction regarding work assignment, scheduling and prioritizing; monitor progress of activities Maintain continuous and appropriate communication with sponsor and share with them critical and general issues Effectively represents Data Management in internal or external meetings (e.g. Investigator's Meetings) Conduct other activities as required DESIRED QUALIFICATION & EXPERIENCE Degree in life science, pharmaceutical, biology or related field or at least 5 years' experience in data management field or similar in a pharmaceutical environment or equivalent Knowledge of Data Management processes Knowledge of pharmaceutical industry guidelines like ICH, GCP Experience in oncology studies, with focus on early phase oncology studies Knowledge of Medidata RAVE EDC, Proficient TECHNICAL COMPETENCES & SOFT SKILLS English, Good MS Office Suite, Good Professional Trustworthy Ability to effectively prioritize Quality focused Personable Attitude Willingness to learn Team Player Effective Stress Management Techniques Learning Agility Ability to Manage Conflict Problem Solving Skills Effective Verbal Communication Skills Commercial and Technical Writing Skills Networking Skills Languages English Education Bachelor of Science (BS): Biology, Bachelor of Science (BS): Life Sciences, Bachelor of Science (BS): Pharmacy Contract Type Regular