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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.

PMO Data Reporting Analyst Work from home within Oregon, Washington, Idaho or Utah Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. Who We Are Looking For: Every day, Cambia's dedicated team of PMO Data Reporting Analyst are living our mission to make health care easier and lives better. As a member of the PMO team, our PMO Data Reporting Analysts will be responsible for analyzing financial forecast trends, project delivery confidence, and turning Excel spreadsheets into consumable reports. The ideal candidate will have experience working with cross-functional teams, including Ops, Finance, and DTS, to ensure data consistency and promote a common language across the organization. The Data Analyst will also be responsible for identifying opportunities to improve our data management and reporting processes - all in service of creating an economically sustainable health care system. Do you have a passion for being curious and learning new things? Do you thrive when driving analytic innovation and best practices? Then this role may be the perfect fit. What You Bring to Cambia: Qualifications: Data Reporting Analyst would have a bachelor's degree in mathematics, actuarial science, statistics, computer science or related field and 3 years of related experience or equivalent combination of education and experience. Skills and Attributes: Knowledge of data acquisition tools such as SQL, OLAP, Toad, and Talend Knowledge of data visualization and reporting tools such as Power BI, Smartsheet, Tableau, SSRS, PowerPivot (Excel) Required: Advanced/expert Excel experience Experience supporting (or working with) project delivery or project management organizations Experience with any of the following software: Smartsheet, Clarity, Workday Background or experience in finance or finance-supporting roles What You Will Do at Cambia: Provides analytical support to the Program Management Office by mining data, conducting analysis, and interpreting results related to business needs. Identifies needed reporting, assembles or directs the assembly of reports and distributes such information. Develops knowledge of health plan operations, health plan data sources and structures, and cost containment strategies. Identifies problems or needed changes, recommends resolution, and participates in quality improvement efforts. Supports acceptance testing of new reports, programs and models. Documents business requirements and methods used to generate work output. The expected hiring range for a Data Reporting Analyst is $64,000 - $81,000/year depending on skills, experience, education, and training; relevant licensure / certifications; and performance history. The bonus target for this position is 10%. The current full salary range for this role is $64,000 - $106,000/year. About Cambia Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through. Why Join the Cambia Team? At Cambia, you can: Work alongside diverse teams building cutting-edge solutions to transform health care. Earn a competitive salary and enjoy generous benefits while doing work that changes lives. Grow your career with a company committed to helping you succeed. Give back to your community by participating in Cambia-supported outreach programs. Connect with colleagues who share similar interests and backgrounds through our employee resource groups. We believe a career at Cambia is more than just a paycheck - and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more. In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include: Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits. Annual employer contribution to a health savings account. Generous paid time off varying by role and tenure in addition to 10 company-paid holidays. Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period). Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave). Award-winning wellness programs that reward you for participation. Employee Assistance Fund for those in need. Commute and parking benefits. Learn more about our benefits. We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb. We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required. If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Preferred Qualifications Certification(s) Preferred Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus Preferred Knowledge/Skills Demonstrates in-depth 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; 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; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-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 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.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; 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 AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop 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 in-depth 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; Collaborate and contribute 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; Prioritize and handle 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, Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; 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: $130,000 - $256,000, 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

Technical Analyst (Data Analytics) Employment Type: Full-Time, Experienced Department: Legal/ Information Technology CGS is seeking a Technical Analyst to join our team supporting a wide-ranging technical support initiative for a large Federal agency. 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: Ability to consult with contractors and government management to solve complex litigation support requirements. Ability to make recommendations for technical solutions including application development, applications. management, documentation, quality assurance, and user support. Ability to provide technical advice, supervision, and guidance to the contractor support team. Ability to evaluate programs in terms of efficiency, effectiveness, quality, and interoperability with client systems. Ability to evaluate software and hardware requirements along with short- and long-range planning, including systems integration solutions and telecommunications requirements. Ability to translate advanced concepts into practical and effective solutions using structured techniques to define requirements. Ability to develop feasible alternatives and estimate costs of implementation. Ability to make presentations of findings, recommendations, and specifications in formal reports and oral presentations to a variety of audiences, including non-technical personnel. Ability to perform supervisory or managerial duties. Qualifications: Bachelor of Science. Data Analytics experience. Relativity experience. Nuix experience. Litigation support experience. Client relationship and management experience. Ideally, you will also have: At least five years of specific, hands-on experience. strong background in data analytics. Ability to demonstrate a successful history of difficult and complex problem-solving for the appropriate systems. Excellent oral and written communication skills. Graduate degree in computer science or information management/ technology. Some supervisory or managerial experience. 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 to deliver 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 $116,480 - $149,760 a year

Description In this position you will inspect a variety of residential/agricultural properties to ensure that the property record reflects current and accurate property characteristics. Collects detailed and comprehensive property data and verifies accuracy of previously collected data. Records new and/or updated information on field documents and/or mobile field application devices. Responsibilities Analyze and verify images and data of residential/agricultural properties to ensure that property records reflect current and accurate property characteristics. List or update information on property records as needed. Drive to property locations, getting in and out of vehicle. Physically walk around and examine all buildings to determine required property characteristics on various residential properties. Measure and inspect exterior of residential/agricultural buildings. Accurately record property characteristics, square footage, angles, sketches, and dimensions on appropriate field documents and/or mobile devices. Take clear digital images of properties including specified parcel improvements if required. Update data on the physical condition of buildings. Maintain personal production records in alignment with productivity targets. Complete logs and control forms and required documentation as required. Communicate effectively with the public to share the purpose of our visit to their property, inquiries about the interior of the property, addresses questions, etc. Professionally represent Tyler Technologies and the client to property owners and other members of the public handling field questions and complaints in a courteous manner and escalates to their supervisor as appropriate. May assist in the training of new Property Data Collectors. Qualifications Strong desire to learn and grow in the real estate appraisal field. High School graduate or equivalent work experience. One-year residential data collection and property measurement experience preferred, but not required. Solid problem-solving skills. Good organizational skills including attention to detail with the ability to capture and record accurate and comprehensive properties details. Ability to work independently or collaborate with team members. Spatial ability to read maps and locate a physical location on a map. Ability to visualize floor plan footprints based on three-dimensional buildings. Good math skills to calculate square footage, ratios, and similar functions. Must be able to travel to properties in assigned project area for the majority of the workday and provide reliable transportation and carry full insurance on the vehicle driven to perform job. Basic computer experience is preferred

The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative-enabling a holistic view of an account's research and consumption behavior. From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and identify their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice. Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions. We're looking for a Data Engineer 1 to join our growing data team and support the systems that handle billions of content interactions daily. In this role, you'll work closely with more experienced engineers and cross-functional partners to help ingest, transform, and maintain critical data powering Bombora's intent products. This is a great opportunity for someone early in their career to build hands-on experience with cloud technologies, large-scale data processing, and collaborative data development practices. You will... Build, maintain, and optimize production ETL pipelines and systems Ability to work with others and as part of a team Designed and implemented large, highly scalable systems in Google Cloud Platform, including Dataflow, Kubernetes, Pub/Sub, and BigQuery. Develop Airflow/Composer pipelines in Python. Have fun in an environment of collaboration, curiosity, and experimentation. You have… Languages: Python and SQL Ability to implement solutions running in Google Cloud Platform or other cloud providers Databases: Familiar with SQL and relational databases, ideally in Google BigQuery Experience optimizing queries and writing DAGs to process data Ability to ramp up quickly when picking up new technologies, code bases, and systems Enjoy working collaboratively, and supporting the team as needed Education and Experience: 1+ years of commercial development experience 1+ years of experience with cloud and/or big-data platforms (GCP preferred) Education: B.S. / M.S. in computer science, physics, applied mathematics, or equivalent experience A successful candidate will: Be creative, pragmatic, and curious Display a strong drive to get things done efficiently Have problem-solving abilities and a passion for learning Perks and Benefits Health / Dental / Vision Flexible Spending / Health Spending Accounts Flexible Vacation / Paid Holidays / Summer Fridays Education / Tuition Assistance / Annual Learning Stipend 401K / Match Generous Parental Leave (16 weeks primary/12 secondary) Commuter Benefits On Demand Learning (Udemy) Team Lunches / Outings / Events (Yes! We found a way to do virtually!) Offices (for when you want one) Compensation Package The salary range for this position is $90,000-$100,000. Actual compensation may vary and will be based on a candidate's qualifications, skills, experience, and location. Equity At Bombora, we embrace diversity because it breeds innovation. Bombora is an equal opportunity employer and participates in E-Verify. Employment offers are contingent upon completion of successful background checks.

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Mission Make general-purpose robots a reality via large-scale embodied AI. The Challenge We envision a future where robots assist with household chores and cooking, aid the elderly in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate reliably in messy, unstructured environments. Our mission is to answer the question, "What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?". To answer this, we are gathering large datasets of physical interaction from a variety of sources (including robots and people) and training large generative foundation models on this physical interaction data along with language, video, audio, and other rich modalities. The Team Our goal is to revolutionize the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently taught, learned, and improved over time in diverse, real-world environments. Our team has deep cross-functional expertise across simulation, perception, controls, language, vision, multimodal learning, and generative modeling. Success is measured by the advancement of robot capabilities and we're strong believers in open research. Our north star is fundamental technological advancement in building robots which can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Come join us, and let's make general-purpose robots a reality. We operate a fleet of robots, and robot-embodied teaching and deployment are key parts of our strategy. Some of our previous work is highlighted here. The Opportunity We're looking for a driven machine learning engineer comfortable working on large integrated machine learning systems. Experience with robots or other embodied systems (such as autonomous vehicles) is a bonus. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let's talk about how we can create the next generation of AI-powered capable robots, together. Responsibilities Collaborate with internal research scientists and our partner labs at top academic research universities, including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale. Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, video, actions) models at scale. Build large-scale data pipelines to ensure data quality through automated validation, filtering, and deduplication. Develop ML ecosystem from data ingestion to dataset management for large scale ML model training. Train, finetune, and serve robot foundation models with a strong MLOps mindset. Apply MLOps best practices to automate and monitor training, validation, and deployment processes Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack. Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publications. Qualifications 3+ years of professional ML engineering experience at an AI/ML-focused organization. Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision. Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP. Extensive practical experience with PyTorch. Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management. Familiarity with cloud service and workflow (such as AWS, GCP Azure) for data pipelines, model serving and optimization, cloud training, and dataset management. An ability to move fast and switch between modes of rapid prototyping and robust implementation as required. Bonus Qualifications Experience deploying models on embodied systems/robots. Experience working in mixed teams of research scientists and engineers. Experience Amazon EC2, S3, and/or Sagemaker. Experience with Bazel. The pay range for this position at commencement of employment is expected to be between $165,760 and $248,640/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Industry/Sector Not Applicable Specialism Insights & Analytics Management Level Manager Job Description & Summary At PwC, our people in workforce consulting focus on providing consulting services related to human resources, talent management, and organisational development. They analyse client needs, develop people and organisation strategies. These individuals offer guidance and support to help clients optimise their workforce, enhance employee engagement, and drive organisational effectiveness. Those in people insights at PwC will focus on leveraging data and insights to help clients drive strategic decisions and improve employee performance and engagement. Working in this area, you will analyse client workforce data to identify trends, develop predictive models, and provide actionable recommendations for workforce decisions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Workforce Consulting team you will manage client accounts and lead data-focused projects, delivering exceptional results. As a Manager, you will supervise and mentor team members, leveraging their strengths to meet client expectations while maintaining integrity and authenticity in all interactions. Responsibilities Facilitate the delivery of quality outputs that meet client needs Utilize team strengths to achieve project objectives Provide hands-on technical guidance in HR data management Implement benchmarking methodologies and data validation practices Manage project timelines and secure successful execution Foster a culture of integrity and authenticity in client interactions What You Must Have Bachelor's Degree 5 years of experience working directly with data analytics, HR benchmarking, or workforce metrics (including client-facing) Demonstrates mastery of benchmarking processes, HR KPIs, and data validation practices Proven ability to manage end-to-end delivery of multiple-client data-focused projects Problem-solving skills and attention to detail; extensive ability to translate technical data into actionable insights Comfort working in fast-paced environments, while balancing multiple competing priorities of differing levels of complexity and sensitivity Experience working with, leading, and mentoring cross-functional, globally dispersed teams across several different time zones What Sets You Apart Familiarity with benchmarking methodologies and frameworks Experience with customized data services and workforce analytics tools Previous experience in workforce strategy or analytics consulting Technical aptitude in data processing tools Significant experience in benchmarking and data analytics Extensive project management skills enabling scalability Proficiency in HR data and benchmarking methods Ability to mentor and lead global teams Committed to training and upskilling new team members Travel Requirements Up to 20% 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: $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

We are Teads Outbrain Inc. (Nasdaq: OB) and Teads S.A. combined on February 3, 2025 and are operating under the new Teads brand. The new Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, the new Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries. For more information, visit https://thenewteads.com/ . Please submit your CV in English. Our main Engineering challenges at Teads Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies. Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge Work in an international environment with offices located in Israel, Slovenia and France. What will you do? As a Data Scientist Assistant, your mission can be to: Work closely with our team of data scientists and engineers to understand the issues facing our SSP and the challenges associated with real-time optimization. Discover and apply our feature engineering techniques to improve the quality and relevance of the data used by our algorithms. Work with our engineers to integrate improvements and new models into our SSP platform. Work on our user graph, which enables us to probabilistically link the various devices of our users and our broadcast channels (CTV, Web), as well as on deep learning models enabling us to classify them or obtain the best vector representation of their digital usage What will you bring to the team? Programming skills, particularly in Python or Scala Ability to work in a team and communicate effectively with technical and non-technical people. Initiative, creativity, critical thinking and autonomy Knowledge of big data-oriented SQL, or AWS/GCP, or Bigquery, or an interest in machine learning would be a plus We care about you: Security & Savings: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed). Career Development: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder). Life Balance: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2-3 days remote work per week, more is open to discussion), fully covered parental leave, and reserved daycare places. Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility). Life at Teads Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups - employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you'll be able to share your passions with likeminded people. #Ly-Hybrid

Industry/Sector Not Applicable Specialism Data, Analytics & AI 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. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $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

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector 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 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; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-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 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.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; 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 AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop 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, Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; Coaching and collaborating with members on the Team 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

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

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 design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships and developing a deeper understanding of the business context, navigating increasingly complex situations, and growing your personal brand and technical knowledge. Responsibilities Designing and implementing thorough data architecture strategies Analyzing complex issues to create innovative solutions Mentoring and guiding junior team members Upholding standards in project deliverables Building and maintaining client relationships Developing a thorough understanding of the business environment Managing and navigating complex scenarios effectively Enhancing personal brand and technical skills What You Must Have Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics 2 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Designing and implementing thorough data architecture strategies Developing and documenting data models, data flow diagrams, and data architecture guidelines Maintaining data architecture compliance with data governance and data security policies Collaborating with business stakeholders to understand their data requirements Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage Developing and deploying scalable data storage solutions using AWS, Azure and GCP services Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $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

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

Application Deadline: 06/26/2025 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting The ideal candidate for this opportunity would have experience with: Machine Learning Coding in Python SQL AWS and have a passion for problem solving This a hybrid role Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations. Broader work or accountabilities may be assigned as needed. Qualifications: Foundational level of proficiency: Deep learning. Machine learning. Trust, bias and ethics. Creative thinking. Critical thinking. Intermediate level of proficiency: Mathematics, statistics & operations research. Big data. Data visualization. Computational thinking and programming. Data wrangling. Data preprocessing. Complex problem solving. Analytical acumen. Creative reasoning. Verbal & written communication skills. Collaboration & team skills. Analytical and problem solving skills. Influence skills. Data driven decision making. Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn. Technical proficiency gained through education and/or business experience. Salary: $67,200.00 - $124,800.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at http://jobs.bmo.com/us/en BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community. The Role As a Principal Data Scientist in our rapidly growing Technology Group, you will provide technical leadership in developing innovative solutions for the next generation of Production Automation and Value Chain Optimization. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, supply chain optimization, and expert systems. You will leverage your skills and passion for Machine Learning and AI to drive AspenTech's Production and Value Chain Optimization strategy by developing ground-breaking software. Your Impact Provide technical leadership and collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and processing industries. Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Production Automation and Value Chain Optimization offerings. Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications. Provide thought leadership and represent AspenTech at industry and academic meetings and conferences. What You'll Need Ph.D in Computer Science, Engineering, Operation Research, or a related major; Masters with significant industrial experience can be considered. Deep knowledge of operations research, chemical/oil & gas/manufacturing supply chain management. 10+ years of experience in applying state-of-the-art AI/ML technologies (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing), preferably to planning and supply chain analysis in engineering applications. Strong expertise in non-linear programming, optimization, multivariate analysis. Some knowledge of advanced process control desirable. Highly skilled with Python AI/ML packages, familiarity with C++/C#. Publications in engineering and/or AI/ML conferences and journals preferred. Familiarity with LLM, generative AI, MLops, Graph Knowledge, and cloud technologies preferred. Knowledge of Aspen products in planning supply chain management (AUP, PIMS, APS, SCM) preferred.

We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. WHAT YOU WILL EXPERIENCE IN THIS POSITION: As an nVent Data Engineer - MDM, you will design, develop, and maintain MDM solutions using Informatica's suite of products. You will work closely with business stakeholders, data stewards, and Digital teams to implement robust master data governance frameworks that ensure data consistency, accuracy, and compliance across the enterprise. Key Responsibilities Design, develop, implement, support, and maintain Informatica MDM solutions that align with business requirements and data governance policies Configure and customize Informatica MDM hubs Develop data models, matching rules, survivorship rules, and validation processes within the Informatica MDM platform Create and optimize data integration workflows for loading, cleansing, profiling, enriching, and synchronizing master data Implement data quality rules and data standardization processes Design and develop batch and real-time interfaces between MDM and source/target systems Troubleshoot and resolve complex data integration and MDM issues to ensure data integrity and performance Collaborate with data architects to design and implement data governance frameworks Work with business users to gather requirements and translate them into technical specifications Document technical designs, processes, and procedures Create and maintain technical documentation for MDM implementations Perform code reviews and ensure adherence to best practices Provide technical guidance and mentorship to junior team members Stay current with latest developments in Informatica products and MDM technologies YOU HAVE: A Bachelor's or Master's degree in Computer Science, Engineering or a related field. Previous experience in or with 8+ years' experience as a Software Engineer, Data Engineer, or Data Analyst o 5+ years of experience in data management with at least 3 years of hands-on experience with Informatica MDM o Strong understanding of Informatica MDM architecture and components (Hub, Manager, Administrator, Operational UI) o Proficiency in Informatica MDM configuration including data models, hierarchies, matching rules, and survivorship rules o Experience with Informatica PowerCenter or Informatica Cloud for data integration with MDM o Working knowledge of Informatica Data Quality (IDQ) and Address Doctor o Strong SQL skills and experience with cloud (Snowflake) and relational databases (SQL Server) o Experience with web services and API integration (REST, SOAP) o Understanding of data modeling concepts (dimensional modeling, entity relationship diagrams) o Knowledge of XML, XSLT, and Java/JavaScript for MDM customization o Experience with agile development methodologies o Strong problem-solving and analytical skills o Excellent communication skills and ability to translate business requirements into technical solutions WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at www.nvent.com. Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth.