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Your work will change lives. Including your own. The Impact You'll Make Recursion is at the forefront of reimagining drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking an Associate Director, Clinical Data Management who can lead and oversee end to end Clinical Data Management activities on assigned studies and programs. You'll also play a critical role in the management of all the 3rd party data sources and serve as SME for Data Management. You'll be responsible for leading and delivering initiatives for CDM within the Biometrics group. You'll also be proactive and be keen to collaborate with cross functional groups within the Clinical Development organization and larger Data Science teams at Recursion. Daily, you will be responsible for all the CDM study activities and deliverables, document reviews, oversight of CRO's, timelines and project risk management. You can expect to work on multiple projects at the same time in a fast-paced and exciting environment. In this role, you will: Lead End to End Data Management activities with hands on ability to manage outsourced studies and lead DM and external vendor oversight activities and deliverables.Proficiency in project management leading 3-4 outsourced programs, simultaneously. Represent Data Management function in Clinical Study Meetings, ensuring proactive alignment of expectations between the CRO and Recursion regarding all data-related deliverables. Work with CRO and Recursion functional groups to complete EDC set up and other systems such as IRT, ePRO etc., Establish Vendor Oversight Plans for all studies and responsible for Vendor Data Quality Reviews and Oversight. Serve as a SME for various operational activities and DM processes like EDC, External data standardization, Collection, and Processing. Lead the efforts with Biometrics and Clin Dev organizations for creation and standardization of CRF's Data Review Plans etc., Lead/Oversee the creation and maintenance of Data Management documents including, but not limited to, CDMP, CCG's, Data Review Plans, edit checks, Listing review checks, Data Integrations specs, Data Transfer Specs, External Data Reconciliation plans, SAE Reconciliation Guidelines, Coding Guidelines, Database Lock, Checklists and Plans. Coordinate with vendors to guarantee that data collection is compatible with clinical databases and meets SDTM requirements. Strategic and critical thinker who can independently lead initiatives and effectively collaborate cross functionally. Accountable for coordination with other functional groups for submission related activities. Manage strategic input into the design of data flow across EDC and non-EDC data sources across vendor networks. Ensure filing, archival and inspection readiness of all Data Management Trial Master File (TMF) activities. Review and manage external Data Management Budgets, ensure accuracy, and understand trends to support Budget planning and forecasting. Support the development of Clinical Data Management Standard Operating Procedures and Work Instructions. Comply with Good Clinical Practices (GCPs), applicable regulatory guidelines, SOPs, policies, and CDM guidance documents. The Team You'll Join Reporting to Senior Director, Clinical Data Management and working closely with Biometrics, Clinical Operations and Clinical development Organization, you will be an essential member of the Recursion Development Team. The Development Team is an empowered, execution-minded group of drug development professionals responsible for translating Recursion's innovative science to patients through clinical development activities. The Experience You'll Need Bachelor's degree in science, math or computer science 12+ years' experience in the biopharmaceutical industry. Experience, technical proficiency and People management skills will determine the level. Experience managing external data and 3rd party vendors is a must. Strong knowledge of regulations and guidelines that apply to the conduct of clinical trials. Excellent written and verbal communication skills and ability to work collaboratively as a part of a team. Working Location & Compensation: This position can be based at any of our offices in Salt Lake City / New York City / Toronto / London / Oxford. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. Relocation support can be provided for this role. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is: $189,00 - $244,000 USD You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-CP1 The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

LOCATION: This position can be located at any Seacoast location within the company's footprint in FL SUMMARY: The Senior Data Analyst is responsible for developing and executing a consistent and coherent set of data and analyses for effective credit risk measurement, management, reporting and preparation of public disclosures. Additionally, the Senior Data Analyst is responsible for organizing and leveraging data to drive fact-based analytical insights and decisions. The incumbent will collaborate across the company for needs assessments, data management, implementation, and for on-going monitoring. The ideal candidate will possess loan, accounting and analytical acumen, and demonstrate the ability to influence team members from several groups across the bank. DUTIES AND RESPONSIBILITIES: Data Design and Acquisition: Help define data requirements, including source identification, process mapping, and setting definitional standards and use. Design & Develop Dashboards: Create and maintain enterprise dashboards visual design standards for reports and dashboards, ensuring consistency and clarity across the organization. Optimize Reporting: Use Power BI, SQL, and SAS to develop scalable, efficient reporting solutions. Provide analytical insights for executive management and the board of directors on credit trends and emerging risks in portfolios, including standard and ad-hoc requests, as needed. Collaborate with Stakeholders: Work closely with management and operational teams of all levels to gather requirements and translate them into actionable data solutions. Work with data originators and data users for consistency of use of data assets, as well as to eliminate redundancies and non-sanctioned variations and influencing business process design. Partner with lines of business to address root causes that create data quality issues. Cultivate cross-functional relationships between business units to ensure insights become actionable and drive desirable business outcomes. Standardize credit data definitions and classifications and ensuring that a data trail is effectively documented within the processes associated with accessing, retrieving, exchanging, reporting, managing, and storing of data. Research data integrity issues when discrepancies are found. Run various reports to self-audit data and/or work with staff in the field to correct data as appropriate to ensure accuracy. Lead resolution to external and internal audit inquiries and supporting documentation. Adheres to Seacoast Bank's code of conduct. EDUCATION, EXPERIENCE & TECHNICAL REQUIREMENTS: Data Visualization Experience with enterprise dashboard development, data reporting, and visualization best practices. Ability to optimize datasets and improve reporting clarity and efficiency. Leadership Skills that guide stakeholders through data-driven decision-making, aligning analytical solutions with business strategies. Continuous Learner: We love people who are always looking to adopt new tools and methodologies. Lending and credit risk analytics, such as loan loss forecasting, probability of default and risk rating development, is important. Provide attention to detail and ensure data accuracy. 5-7 years of progressive, related experience. Extensive skills with: SQL, SAS, or comparable tools Visualization software such as SAS Visual Analytics and Power BI. Self-motivated to proactively learn and solve complex business problems. Excellent communication, interpersonal, organization, and time-management skills. The Statements above are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be an exhaustive list of responsibilities, duties, and skills. Because these statements are general, the job description is used for a variety of purposes including job evaluations; performance reviews; recruitment; etc. All Associates are required to adhere to the highest legal and ethical standards applicable to our industry. It is the policy of Seacoast Bank that all Associates will be familiar and compliant with all regulatory, legal, ethical and Bank risk mitigation requirements pertaining to both our industry and their individual roles. This includes the on time, successful completion of annual required training post-hire and effective execution of role responsibilities. #LI-PF1

Industry/Sector Insurance Specialism Guidewire Management Level Manager Job Description & Summary A career within Functional and Industry Technologies services will provide you with the opportunity to build secure and new digital experiences for customers, employees, and suppliers. We focus on improving apps or developing new apps for traditional and mobile devices as well as conducting usability testing to find ways to improve our clients' user experience. As part of our team, you'll help clients harness technology systems in financial services focusing on areas such as insurance, sales performance management, retirement and pension, asset management, and banking & capital markets. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Year(s) of Experience: 5 year(s) Preferred Qualifications: Preferred Fields of Study: Actuarial Science,Business Administration/Management,Commerce,Computer and Information Science,Computer Applications,Computer Engineering,Data Processing/Analytics/Science,Economics,Engineering,Engineering and Business,Electrical Engineering,Finance,Information Technology,Management Information Systems,Mathematics,Mechanical Engineering,Operations Management/Research,Risk Management,Software App,Statistics Preferred Knowledge/Skills: Demonstrates a proven record of success in roles within a professional services firm or large enterprise that supports a team servicing clients including: Emerging Enterprise Data Management; Guidewire Policy and Claims Data Model; Data Conversion Mapping from legacy systems; Data Migration Performance Management; Data Analytics and Business Intelligence; Data Modeling; Data Integration and Synchronization; Design and Build of Data Warehouses; Data Distribution, Reporting and Business Intelligence Solutions; Data Retention, Lifecycle, Standardization and Taxonomy; Enterprise Data Management Policies, Procedures, Compliance and Risk Management; and, Enterprise Architecture and technologies related to business change, identifying associated risks, advising clients on trends, emerging technologies and strategies. Demonstrates extensive - level abilities in identifying and addressing client needs by: Building, maintaining and utilizing networks of client relationships and community involvement, Communicating value propositions; Managing resource requirements, project workflow, budgets, billing and collections; Preparing and/or coordinating complex written and verbal materials; Understanding and documenting business and functional requirements for complex projects; Designing and leading IT business architecture and/or information architecture engagements aligned to a client's business strategy; and, Demonstrating extensive level abilities and exposure to common issues facing client's Industry. Demonstrates extensive abilities and/or a proven record of success as a team leader by: Supervising teams to create an atmosphere of trust; Managing technical teams across the full software development life cycle; Seeking diverse views to encourage improvement and innovation; and, Coaching staff including timely meaningful written and verbal feedback. 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

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform. We are currently hiring a Senior Data Analyst to support our marketing team at Money App. This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona. WE ARE: The Data Science Engineering team at Progressive Leasing is a forward-thinking, cutting-edge technology group composed of Machine Learning Engineers, Data Scientists, Data Analysts, and Software Engineers. We collaborate to build scalable, modern platforms that drive critical decisioning, automate processes, and enhance data science and modeling capabilities. YOU ARE: A driven analytics professional. As a Data Analyst, you will draw business insights from data through complex analysis, mining, and visualization. You will learn to understand the nuances of Progressive's business and ensure that we capture, mine, and act on data related to our customers, our stores, and our operational and financial performance to drive business impact. You will leverage strong technical skills and creative thinking to solve problems and make quantitative decisions. You'll work with cutting edge tools and products at the intersection of technology and business, and Big Data will become a way of life for you. Most importantly, you'll allow us to get unique and valuable insights that go beyond the obvious and help us achieve extraordinary results. YOUR DAY-TO-DAY: Create interactive data visualizations that allow the business leaders to react quickly to performance and market trends and make data-driven decisions Extract usable information from unstructured data using advanced data mining techniques Design and analyze marketing tests and campaigns YOU'LL BRING: Bachelor's degree with relevant work experience or outstanding academic record 2+ years of experience with Python and SQL Experience with generating visualizations using tools such as matplotlib or seaborn Experience with A/B/n testing and statistical hypothesis design and assessment Strong ability to generate insights from data, and communicate findings to varying levels WE OFFER: Competitive Compensation Opportunity to advance on the data science and/or leadership track Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave Company Matched 401k Paid Time Off + Paid Holidays + Paid Volunteer Hours Employee Resource Groups (Black Inclusion Group, Women in Leadership, PRIDE, Adelante) Employee Stock Purchase Program Tuition Reimbursement Charitable Gift Matching Job required equipment and services Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

WHY WE'RE LOOKING FOR YOU Retool started as a way to address obstacles with internal tools and has grown into a company that solves internal tooling for thousands of companies (big and small). As Retool's product and user base evolves, we've found ourselves with numerous opportunities to leverage data-driven insights to influence product development. To continue our fast-paced growth, we must build a world-class data science and analytics team to deliver strategic product insights. You'll help us get there by defining key metrics and developing data-driven insights to maximize impact. We're looking for someone ready to get their hands dirty, motivated by impacting the business, and constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high-growth startup. WHAT YOU'LL DO As a member of the data science analytics team, you'll play a pivotal role in building the data culture at Retool. You'll initiate projects to generate strategic insights and help the company remain data-driven. You'll build data pipelines, dashboards, and reports to streamline operations, inform strategic priorities, and empower stakeholders to make data-informed decisions. You'll apply statistical knowledge and the scientific method to the data questions we face today, and help us think critically about the questions of tomorrow. WHO YOU'LL WORK WITH As a data scientist, you'll work closely with engineering, design, and product teams to size opportunities, prioritize product features, set goals, and quantify impact. We're a hard-working, passionate bunch who are motivated by collaboration, strong results, and bringing the impact of Retool to our customers. When we're in the office, we enjoy eating lunch (and occasionally dinner!) together, and we've been known for our lively game nights. But at the root of it all, we come together to show our customers and not-quite-yet customers how Retool can make them and their companies more efficient and successful. If this sounds like a fit, we'd love to hear from you! THE SKILLSET YOU'LL BRING: 4+ years of experience working in data science and/or product analytics, ideally at a high-growth enterprise SaaS business Experience defining and implementing product metrics Expertise in leveraging data to deliver actionable insights for non-technical stakeholders Skilled at data visualization, with strong opinions on the right way to distill information to various audiences Strong SQL and data modeling skills, with experience applying skills to create data models thoughtfully in a warehouse environment Proficiency in statistical analysis (e.g., descriptive statistics) A bias towards communication and collaboration with business and technical stakeholders Experience bolstering quantitative analysis with qualitative insights A solution-oriented growth mindset. You'll need to be a self-starter and thrive in a dynamic environment Comfortable with common git workflows and at least one scripting or statistical programming language (ideally Python and/or R) IN THIS ROLE, YOU'LL: Embed with engineering, product, and design teams to surface key insights Develop dashboards and define metrics that drive key product and business decisions Build and maintain ETL pipelines Work with our engineering teams to validate existing data sources, identify opportunities to improve data quality, and craft requirements for robust new instrumentation as needed Be a self-starter

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Truist Senior Internal Auditor is responsible for assisting in the completion and documentation of risk based internal audit assurance activities that may include complex assignments. The Truist Senior Internal Auditor will interpret the results of audit work performed, determine internal control weaknesses, and make value-added recommendations. As appropriate, the Truist Senior Internal Auditor may lead segments or primary elements of smaller audits or special reviews. Please note - to be considered for this role, candidates must work in one of the following Truist office locations in a hybrid capacity: Charlotte NC - 214 North Tryon Street (Preferred) Atlanta, GA - 303 Peachtree Street (Preferred) Raleigh NC - 3201 Beechleaf Court Richmond, VA - 1001 Semmes Ave Winston-Salem, NC - 101 North Cherry Street No Full Remote/Telecommute. No Relocation Assistance. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Prepare for and lead effective client interviews and document interview results via narratives, flowcharts and process maps for complex business processes. Analyze process documentation to evaluate design effectiveness and efficiency of controls. Design and execute testing strategy by incorporating the use of data analytics. Identify internal control weaknesses, including risks, and root cause. Assist in guiding junior team members to enhance achievement of goals and objectives Present and effectively communicate identified audit issues to Management and the Engagement Manager. Develop advanced audit skills and begin developing risk assessment and project management skills Deepen knowledge of the organization, operations, policies and procedures (including banking laws and regulations) under which Truist operates. Create work papers in line with Truist Audit Services procedures and documentation requirements. Work independently with minimal oversight to ensure work is completed on time and within deadlines. Receive constructive feedback and apply to future assignments. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in accounting, business or related field or equivalent education and related training or experience. Four to six years of banking, auditing or other relevant experience related to area of responsibility. Developing knowledge, ability and expertise in the principles and practices of technology, cybersecurity, IT infrastructure, IT service management processes and IT industry trends. Developing knowledge of IT General Controls (ITGCs), IT Application Controls (ITACs), and the System Development Life Cycle (SDLC). Developing knowledge of IT, information security and Cloud management and control frameworks (COSO, COBIT, NIST, SOX, PCI DSS). Good decision-making skills. Strong knowledge of audit principles, practices, and methodologies including risk assessment, and audit documentation. Good aptitude for learning analytical, audit and/or facilitation skills. Ability to grasp the underlying concepts in complex information. Ability to identify root causes of problems. Ability to formulate solutions based on a synthesis of information. Proficiency in computer applications, such as Microsoft Office software products. Ability to manage multiple priorities of varying complexities. Ability to work independently with minimal oversight. Preferred Qualifications: Possess appropriate professional certification or willing to pursue Certified Data Management Professional (CDMP), (Certified Information Systems Auditor (CISA), Certified Internal Auditor (CIA). Possess knowledge of Truist Audit Services audit software and business specific software. Knowledge of Data Management and Data Risk Knowledge of principles and practices of Data Management Body Of Knowledge (DMBOK) General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Enterprise Data Hub Product Lead New York-Hybrid Who We Are SiriusPoint is a global underwriter of insurance and reinsurance. We utilize deep risk capabilities to protect our customers and provide intelligent risk solutions to clients and brokers around the world. Bermuda-headquartered and listed on the New York Stock Exchange (SPNT), we work as 'One SiriusPoint', to apply expertise and underwrite risks across our four operational areas- International Insurance, North American Insurance, Global Accident and Health, and Global Reinsurance. We have underwriting hubs in Bermuda, Liege, London, New York, Stockholm and Toronto, and licenses to write Property & Casualty and Accident & Health insurance and reinsurance globally. Join Our Team You will be our Enterprise Data Warehouse / Enterprise Data Hub Product Lead, responsible for overseeing the architecture, implementation, and management of enterprise data products. This role involves ensuring data quality, optimizing data processes, and aligning data strategies with business objectives. The role is a key member of the Enterprise Data Committee and reports to the Chief Data Officer. Your responsibilities will include: Product Vision and Strategy: Lead the creation, implementation, and maintenance of the vision and strategy for the Enterprise Data Warehouse / Enterprise Data Hub, ensuring it aligns with overall business goals. Roadmap Development: Develop and maintain a product roadmap that outlines key initiatives, milestones, and deliverables. Stakeholder Engagement: Work with business units, enterprise architecture, and delivery leads to translate requirements into data solutions, ensuring the Enterprise Data Warehouse / Enterprise Data Hub meets business needs. Technical Expertise: Develop and enforce practices in areas such as master and reference data management, data mapping, data modeling, and data integrations. DataOps Management: Implement and oversee DataOps processes to ensure efficient, reliable, scalable, and secure data operations. ETL Processes: Lead the development of ETL (Extract, Transform, Load) processes to ensure seamless data flow and integration. Data Quality Assurance: Develop a data quality strategy to ensure data accuracy and consistency, identifying and resolving any data issues. Reporting and Analytics: Design and implement a consumption layer to make data accessible and actionable for internal stakeholders. Team Leadership: Manage the daily activities of the data team, providing guidance and support. Stakeholder Adoption: Drive training and adoption strategies to ensure that data can be used to drive actionable outcomes. Production Support: Monitor and analyze the performance of the Enterprise Data Warehouse / Enterprise Data United behind common goals At SiriusPoint we work as one team across our global business, and we unite that team behind common goals, understanding the positive impact we can all make at SiriusPoint. We aim to retain and attract great people, knowing they can achieve a rewarding and enriching career. Our Purpose is to provide security and resilience in an uncertain world. Our Vision is to be recognized as a best-in-class insurer and reinsurer utilizing deep risk capabilities to protect our customers. Blending our talent, expertise and data to provide intelligent risk solutions. Our culture is one of performance and accountability. Our people are our experts and you will be empowered to apply your expertise in a supportive, collaborative and purposeful environment. Our Values are at the heart of our business, and which guide every day actions and decision making. Integrity: Integrity, respect and trust are our core principles Customer Focused: Our customers are the reason we exist Solution Driven: Creating solutions is our mindset Diversity: Diversity, inclusion and allyship make us stronger Collaboration: Collaboration drives outperformance Your skills and abilities should include: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. 10+ years of experience in data warehousing and data architecture. 5+ years of experience in the Insurance industry, preferably including experience working with bordereaux files (Program / MGA business). Experience in the Reinsurance industry is a plus Strong expertise in AWS technologies, including but not limited to S3, Redshift, Glue, and Lambda. Experience in leading large-scale data warehousing initiatives. Proven experience with DataOps practices and tools. Strong understanding of data modeling, SQL, and ETL processes. Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels. Excellent organizational, written, verbal and presentation skills. Experience leading and mentoring technical teams. Strong leadership skills fostering collaboration and driving solutions within a data team. Ability to work individually with limited oversight. Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment. Excellent technical architecture and technical support documentation skills. Demonstrated ability to influence and work effectively within a global organization with employees at all levels. Motivated, team-oriented, with strong problem-solving and project management skills. SALARY: The estimated salary range for this position is $180,000 to $200,000 per yearThis is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, SiriusPoint will consider a candidate's relevant experience, location, and other job-related factors. Why Should You Join SiriusPoint? Our people are our experts, and from day one you will be empowered to apply your expertise in a supportive, collaborative, and purposeful environment. Our Values- Integrity, Customer Focused, Solution Driven, Diversity, and Collaboration - are at the heart of our business, and they guide our everyday actions and decision making. We also unite our global team behind common goals, ensuring you can make a meaningful impact. We aim to retain and attract great people, knowing they can achieve a rewarding and enriching career. We offer a competitive and above market compensation package. The following are some of the benefits and perks we offer our employees: Medical Dental Vision FSA Medical and Dependent care Health Savings Account (HSA) EAP Basic Life and AD&D (company paid) Basic Long-Term Disability (employer) paid-Taxable income Employee paid Long Term Disability(voluntary) Company Medical Leave, Parental leave- 8 weeks full pay after 6 months of service Voluntary benefits: short term disability, Critical illness, Hospital Indemnity, Accident Travel assistance programs Company paid 401(k) 6 % safe harbor match, fully vested after two years, pre- and post-tax contributions allowed Gym reimbursement Legal plan Pet Insurance Tuition reimbursement Generous PTO Flexible work arrangement Fully stacked pantry on-site Team outings ERG Groups We Achieve More Together At SiriusPoint, we know that diversity, inclusion and allyship make us stronger. We value and are committed to supporting the unique voices, backgrounds, cultures, lifestyles, and contributions of the diverse global employee base that make up our business. We know that a diverse and equitable culture, where all voices are included and heard, is critical to our success as an employer. We are committed to developing our DE&I strategy to ensure that SiriusPoint remains a supportive and empowering place of work.

About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance About the Role As the Product Manager - Data Governance, you'll will be a part of a transformative change in our organization. Your responsibilities include supporting the creation and maintenance of common data structures across our products, ensuring compliance with regulatory requirements, consistency across products and establishing and maintaining a product asset repository. The governance strategy will streamline our innovations, deliver accelerated speed to market and evolve the buying process for customers. Additionally, you'll foster collaboration among stakeholders to maintain linkages between products and data assets. Position will be hybrid from Alpharetta, GA - 3x week Responsibilities Common Data Structure Creation and Maintenance: Establish and enforce data standards to ensure a common structure across all products. Monitor data quality, accuracy, and completeness. Collaborate with data stewards and owners to maintain consistency. Product Asset Repository: Create and manage a centralized repository for product-related data assets. Organize and categorize data assets for easy retrieval and usage. Ensure proper version control and access controls for assets. Stakeholder Collaboration: Work closely with cross-functional teams (IT, business units) to align data practices. Maintain linkages between products and associated data assets. Lead and facilitate communication on data governance guidelines. Lead the data governance committees to ensure decision making around data consistently evolves to suit customer needs. Continuous Improvement: Identify areas for process improvement? enhancement and efficiency. Drive initiatives to improve data management practices. Requirements Bachelor's degree in a related field (e.g., Information Management, Computer Science). Proven experience in data governance, integration, or similar roles. Motivate and able to hold teams accountable to rules, frameworks, or delivery. Experience in partnering with and influencing diverse teams in multiple locations. Experience with SQL, dashboarding and\or technical background. Strong understanding of regulatory frameworks. Knowledge preferred in API Testing tools such as Postman, Bruno or SoapUI. Knowledge preferred in API Design tools such as Swagger Editor, Apiary or Postman Excellent communication and collaboration skills. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice Familiarity with data governance tools and frameworks. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. USA Job Seekers: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; 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 cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, 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: $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

Upgrade is a fintech company that provides affordable and responsible credit, mobile banking, and payment products to everyday consumers. We were the fastest growing company in the Americas last year according to the Financial Times and Upgrade Card was the fastest growing credit card in America two years in a row. We have delivered over $33 billion in affordable and responsible credit to our 5.5M customers. The company is backed by some of the most prominent technology investors and was recently valued at $6.3B. We have built an energizing, collaborative and inclusive culture where team members help each other, learn and innovate to move the company and its customers in the right direction, and own the outcome of their efforts. Upgrade has been named a "Best Place to Work in the Bay Area" three years in a row, "Top Companies to work for in Arizona" and one of the "Best Engineering Department" awarded annually by Comparably. We've also received recognition for being a best company for Diversity, Women, Culture, and Veterans. We are looking for new team members who get excited about designing and delivering new and better products to join a team of 1850 talented and dedicated professionals. Come work with us if you like to tackle big problems and make a meaningful difference in people's lives. About the Role: We are seeking a highly analytical and results-driven Data Scientist to join our growing analytics team in the financial services sector. You will play a key role in building predictive models, optimizing financial decisions, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and financial domain knowledge. This position is based in our San Francisco office in a hybrid capacity, specifically on Tuesdays, Wednesdays, and Thursdays. What You'll Do: Build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution. Validate models to identify factors that may affect model performance. Analyze large, structured and unstructured datasets using SQL, Python or similar tools. Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development. Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies. What We Look For: Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline. 0-2 years of hands-on experience in a data science or analytics role, preferably in financial services. Experience and/or strong interest in the latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred. Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL. Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.). Detail oriented and strong analytical skill set. Proactive, driven, and ability to work in a fast paced environment. Nice to Have: Experience working with cloud platforms (AWS, GCP, or Azure). Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of big data technologies like Spark or Hadoop. Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value. What We Offer You: Competitive salary and stock option plan 100% paid coverage of medical, dental and vision insurance Competitive 401(k) and RRSP program Flexible PTO Opportunities for professional growth and development Paid parental leave Health & wellness initiatives The compensation range of this position in San Francisco, CA is USD $100,000-$115,000 annually plus equity and benefits. Within this range, an individual's base pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience. #BI-Hybrid #LI-Hybrid For California residents: Upgrade's California Notice at Collection and Privacy Policy describes our practices regarding the collection, use, and disclosure of the personal information of job applicants. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties. Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee. Agencies must obtain advance written approval from Upgrade's Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement.

Who we are: First Street is the standard for Climate Risk Financial Modeling. We use transparent and peer-reviewed methodologies to calculate the past, present, and future climate risk for every property in the world. We started working with the world's leading climate scientists to create groundbreaking, climate-adjusted, property specific models over 8 years ago and haven't stopped. Our mission: We exist to connect climate and financial risk. Our data: We create physics-based, deterministic models of flooding, wildfire and hurricanes, and advanced statistical models of extreme heat, air quality, drought, hail, severe convective storms, winter storms, and more. All of this data is used to create property-level financial risk metrics and macroeconomic variables to quantify the impacts of climate, property by property. Our customers: We empower governments at the highest levels to make smart regulations, businesses to avoid bad investments, and everyday Americans to understand their personal risk from climate change. We are relied on every day by: Agencies ranging from the U.S. Department of Treasury to Fannie Mae The world's biggest banks such as Bank of America and Wells Fargo Institutional investors like Nuveen and Blackstone Millions of everyday users on Zillow, Redfin, Realtor.com, Homes.com, and more We believe: With the right data, we can identify the problems, avoid bad investments, and implement solutions. This is why we have invested tens of millions of dollars into our science, data, people, and products and have raised tens of millions more to move even faster. Read more about our culture here and see what Climate Risk Financial Modeling is all about here. Come join us and use your talents to change the world. Team & Role Overview: We're looking for our first dedicated Data Quality Analyst to join our growing team in New York City. You'll be responsible for ensuring the accuracy, reliability, and performance of our climate risk products. This is a hybrid role - you need to be strong in validating and stress-testing datasets and also comfortable with software QA. You'll work at the intersection of software, data, and product-ensuring that our data-driven outputs are trustworthy, especially as we scale our financial risk metrics. This is a hybrid role with in-office presence required on Monday, Wednesday, and Thursday. What you'll do: Define and refine acceptance criteria in collaboration with product, engineering, and data science teams to ensure clarity and testability Deeply understand our datasets, focused on financial and climate risk data-to identify edge cases, anomalies, and potential failure points Create test plans and test cases that stress the system under real-world and corner-case conditions Design and run manual exploratory tests for complex features, using First Street's Enterprise Suite, especially where automated coverage is limited Develop and maintain a comprehensive test portfolio, including unit, integration, regression, and end-to-end tests across both product and data workflows File clear tickets, providing clear documentation and context for the data and engineering team What you'll need: 3+ years of experience as a Data Quality Analyst or Data Analyst Proven experience working with data-centric applications or financial datasets with 100's of millions of data points Hands-on experience with validating APIs, data transformations, and large-scale datasets Comfort working with basic SQL queries and using scripting languages to analyze large CSVs. Excellent attention to detail, communication skills, and a bias for action Ability to work hybrid in NYC three days per week What will make you stand out: Background in climate science, geospatial data, or financial risk modeling Experience being the first data QA hire or building data QA systems from scratch at a startup Experience with Python+ Pandas/Polars, or R + dplyr a plus Proficiency in modern testing frameworks (e.g., Playwright, Jest, or similar) Familiarity with CI/CD tools (e.g., GitHub Actions, CircleCI) Experience building automated QA pipelines that integrate with CI/CD processes to ensure consistent, reliable deployments Passion for our mission to connect climate and financial risk How we work: Impact: We only focus on things that move the needle Drive: We are driven by the role we play in connecting climate and financial risk Ownership: This is our company and we act accordingly Urgency: We move quickly because the world depends on it Resilience: We have a growth mindset in all that we do What we offer: Competitive salary commensurate with experience Ownership interest in the company via Employee Stock Option Plan Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday 15 vacation days along with 5 days for winter break office closure, 8 statutory company holidays, and 10 sick days Health benefits covered at 100% for employee or a significant contribution for family plans Vision and dental benefits with partial employee contribution 12 weeks of paid parental leave Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace Company 401k program Commuter benefits Life Insurance Tech startup environment Weekly team meals and an office stocked with coffee and snacks Working on the world's biggest issue with other passionate professionals We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platform- AWS/Azure/GCP Certification in Snowflake Certification in any ETL/ELT tool Preferred Knowledge/Skills: Demonstrates thorough knowledge and success as both team leader and member roles within a professional services firm or large enterprise. Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos Programming using Python/Spark Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Support cross-functional teams to understand their workflow and automation needs. Design and develop scalable data warehouse solutions that meet the organization's data storage, retrieval, and analysis requirements. Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities success with managing the identification and addressing of client needs: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Contributing as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; and, Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $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

Cloud Solution Architect- Data & Analytics First Quality was founded in 1989 and has grown to be a global privately held company with over 4,000 employees. Its corporate offices are located in Great Neck, New York, with manufacturing facilities and offices in Pennsylvania, South Carolina, Georgia, and Canada. First Quality is a diversified family of companies manufacturing consumer products ranging from Absorbent Hygiene (adult incontinence, feminine care, and baby care), Tissue (bath and towel), and Industrial (print and packaging materials), serving institutional and retail markets throughout the world. First Quality focuses on private label and branded product lines. We are seeking a Cloud Solution Architect- Data & Analytics for our First Quality Enterprises located remotely. The Enterprise Data and Analytics team provides strategic direction, technical/functional expertise, and product management for First Quality's Data and Analytics systems and Machine Learning applications. The Cloud Solution Architect- Data & Analytics, as a key member of the Enterprise Data and Analytics team, provides functional and technical leadership for the definition, design, and delivery of First Quality's Analytics systems. This position is responsible for architecture, product management, and delivery of analytics systems. The Cloud Solution Architect- Data & Analytics is responsible for maintaining standards and best practices for enterprise Analytics tools and solutions. The incumbent will design and develop reporting frameworks of varied levels of complexity working directly with end users and other Solution Architects to create reporting requirements, design patterns, and implementations. The person in this role will interact with all areas of First Quality to define business requirements, scope solutions, develop specifications, and delivery of solutions. This position is the go-to contact for their assigned Analytics system specialization and, as such, serves as the ultimate support escalation point for their assigned system(s). The person in this position owns their assigned system(s) and interacts with all divisions within First Quality. This position will be held accountable for the training, education, and execution of Analytics systems with the goal to fully utilize their capabilities. Primary responsibilities include: Design and implement data architecture, integration, ETL and analytics solutions on Azure and future state cloud platforms. Collaborate with business stakeholders, data engineers, and data scientists to understand data requirements and design scalable and flexible data models. Develop data ingestion strategies and frameworks to efficiently capture and integrate data from various sources into Azure and other cloud data services. Define data storage and retrieval mechanisms, including multi-tenant data partitioning, indexing, and compression, to optimize performance and cost efficiency. Create and maintain data pipelines and ETL/ELT processes to transform, cleanse, and integrate data across different data sources. Implement data governance and data management practices to ensure data quality, consistency, and compliance with relevant regulations. Collaborate with security and compliance teams to establish and enforce data security measures, including data encryption, access controls, and data masking. Perform data profiling, analysis, and troubleshooting to identify and resolve data-related issues. Stay up to date with the latest advancements in Cloud data services and recommend innovative solutions to enhance data architecture capabilities. Provide technical guidance and mentorship to junior team members and promote best practices in data architecture design and implementation. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Work with external and internal teams to resolve infrastructure-related issues when developing integration modules. Partner with the business teams to evaluate and perform application development and/or business process change requests under minimal direction. Work with IT functional leads to understand the application architecture and setup right integration mechanisms. Implement DevOps practices and CI/CD pipelines across all analytic systems. Ability to communicate complex ideas in simple terms, and effectively interact with decision makers. Knowledge of machine learning and AI technologies and their integration with data architecture May need to travel to manufacturing sites and other First Quality locations to address IT analytics needs The ideal candidate should possess the following: Bachelor's degree in computer science, Information Technology, Engineering, or a related field. Extensive experience in designing and implementing data architecture and analytics solutions on Azure and other cloud platforms. Strong proficiency in Azure data services such as Azure SQL/MI, ADF, Azure Synapse, ADLS, Azure Databricks etc. Deep understanding of data modeling principles and experience with relational, dimensional, and NoSQL data modeling techniques. Solid knowledge of ETL/ELT processes, data integration patterns, and data warehouse concepts. Experience with any visualization tools (QlikView, Tableau, Power BI etc.) Experience with data governance, data security, and compliance practices in Azure and other cloud platforms. Prior experience in the Manufacturing Industry preferred. Proficiency in SQL and programming languages such as Python or Spark. Strong problem-solving and analytical skills with the ability to troubleshoot and resolve complex data-related issues. Excellent communication and collaboration skills to work effectively with stakeholders at all levels. Ability to manage multiple projects and priorities in a fast-paced and dynamic environment. First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

Sr. Systems Analyst (Data Analytics) Employment Type:Full-Time, Mid-Level /p> Department: Information Technology As a CGS Systems Analyst, you will be doing the work of setting up Oracle databases in a UNIX environment, including designing, implementing, troubleshooting, populating, maintaining, documenting, and training users on such systems. Other systems environments and specific project requirements will call for other specific sets of technical skills. 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: Requires broad knowledge of the Government's IT environments. Office automation networks. PC and server-based databases and applications. Qualifications: This is a senior-level technical position, often the most senior-level technical position for all work for a particular DOJ component. Must demonstrate substantial, hands-on, successful experience in doing the work on the systems being used, usually at least five years of such experience. Other systems environments will require other specific sets of skills. Requires broad knowledge of the Government's IT environments, including office automation networks, and PC and server-based databases and applications. Experience in a litigation support environment is extremely helpful. Excellent oral and written communication skills are required. The ability to lead a technical team, and to give it direction, will be essential, as will the demonstrated ability to analyze the attorneys' needs and to design and implement a whole system solution responsive to those needs. Ideally, you will also have: Undergraduate degree in the computer science or information management/technology disciplines. Supervisory 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 $149,760 - $216,320 a year

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi's Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company's risk appetite and helps create the products and experiences that put our members' interests first. The Senior Data Scientist will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The initial focus of the role will be on Student Loan Refinance but the candidate may get opportunities to work on other lending products in the future. The Senior Data Scientist will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi. What you'll do: Innovate… Bring your brightest ideas to building risk strategies. This means you will architect the pre-screen and underwriting strategies. Data Driven… Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and uses. Iterate, learn, innovate… We are all responsible for innovation and must embrace data-driven decisions. Control the Risk and Drive Performance Outcomes … Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions. Grow, Grow, Grow!… Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members. What you'll need: 4+ years of related experience Business acumen and work experience in the consumer lending business (loans or credit cards) Direct experience in the credit strategy analytical life cyle, including strategy and decision tree development, presentation, implementation validation, and post-implementation monitoring Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems Proficient skills in Excel, SQL and Python A demonstrated ability to synthesize and communicate analysis to business partners and senior management High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment Knowledge/skills in analytical and modeling techniques such as Decision Trees, regression, logistic regression, A/B Testing, and Tableau Preferred: 4+ years of consumer lending credit strategy work experience Preferred: Experience in analyzing and testing credit strategies or models to meet the fair lending requirements Preferred: Advanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Industry/Sector 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

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Primary Responsibilities: Work in data & business intelligence (BI) to connect dots and create insights (including dashboards) Create business intelligence solutions and models Perform analysis, interpret results, analyze & investigate, develop actionable insights and present recommendations Develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis Work and collaborate closely with US based leaders as a matrixed team environment. Able to partner directly with business stakeholders to understand business problems, gather requirements, and demonstrate tools, solutions and analysis Other duties may apply ENGLISH PROFICIENCY ASSESSMENT WILL BE REQUIRED AFTER APPLICATION* You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 4+ years of total experience working with Power BI 3+ years of total experience in SQL Experience working and presenting to stakeholders Proven solid verbal and written communication skills Proven ability to work in ambiguity Proficient communication in English Ability to work Monday to Friday between 8:00 a.m. and 8:00 p.m. Preferred Qualifications: Tableau Snowflake At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Job Description: Worker Sub-Type: Regular Time Type: Full time

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