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WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we're saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US At SimCorp, we facilitate the streamlining of investments, accounting, and operations for major global financial institutions. We do this through IT systems, processes, and financial knowledge. Implementing our software by way of high-quality projects is at the core of what we do. To introduce our software to our clients, business consultants are essential to us. In the role of Lead Business Consultant specializing in Data Management and Data Integration, your participation will be instrumental in the expansion of our market unit and in advancing the outcomes of our clients' projects. You will normally be working full-time on implementation projects, which require your special expertise in Data Management and Data Integration, and you will be responsible for all aspects of the project stream. You will act as an important sparring partner for your clients and effectively monitor, coordinate, and escalate issues as needed. WHAT YOU WILL BE RESPONSIBLE FOR Responsibility for major parts of SimCorp One implementation projects: You know the customer requirements and processes related to Investment Operations at banks, asset managers and insurers and outline solutions for optimal use of SimCorp One Close cooperation with the project manager and key role in developing projects to success Gain understanding of SimCorp's Global Standard Solutions and utilize them for project delivery Key contact for our customers for all questions in connection with SimCorp One Instruct and mentor less experienced colleagues on the job Contribute to improving best practices for implementation processes and promote topics across projects Actively participate in know-how exchange with colleagues on an international level WHAT WE VALUE Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to have expertise at several of the following: Previous experience as an Analyst or (Implementation) Consultant for asset managers, asset owners, banks or consulting firms Hands-on experience with SimCorp One / SimCorp Dimension (SCD) Excellent know-how in at least two of the following areas: Enterprise Data Management Data Integration architecture, patterns and standards WS*, REST API, JSON XML, XSLT and other scripting languages like Phyton Relational Databases: Oracle, SQL Server and/or ETL tools C# or any other object-oriented language Testing e.g., Test-Driven Development, agile testing, test automation, test methodologies System performance improvements Continuous integration and delivery (CI/CD) Experience working on software implementation projects in the financial industry. Ability to manage assigned tasks and deliver the results on time Basic understanding of financial industry/products and related workflows Very good communication skills and proficiency in English - both oral and written Ability to travel to client's site BENEFITS An attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an extensive work-life balance and opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. For New York City only: The salary range for this position is $133,000 - $170,000. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave, and retirement plans. Your total compensation may vary based on role, location, department and individual performance. NEXT STEPS Applications are continuously assessed, so please send your CV in English as soon as possible. Please note: Only applications sent through our system will be processed. For those keen on exploring opportunities with SimCorp but questioning the alignment with this position, we welcome you to submit your CV for consideration. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you in discovering the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. Therefore, during the process, we will ask you to provide your feedback, which is highly appreciated . WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, education, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients, with SimCorp as the overarching company brand and Axioma as a key product brand. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. #Li-Hybrid

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are seeking an experienced Data Operations Engineer to support our Commercial and Medical Affairs team, ensuring that critical data is readily available, reliable, and secure. In this position, you will design and automate robust data pipelines that support data-driven insights and decisions in our emerging oncology biopharmaceutical company. You'll work at the intersection of data engineering and operations, managing cloud infrastructure and upholding data governance standards to maintain data quality and compliance. This role is key to empowering analysts and data scientists with timely, well-governed data - ultimately helping the organization bring life-saving cancer therapies to patients more efficiently. The ideal candidate has experience in DataOps, cloud-based data platforms, and automation, with a strong background in handling data sources such as sales performance, claims, patient data, CRM, and digital marketing metrics. Responsibilities will include: Design, build, and automate ETL/ELT workflows to ingest, transform, and integrate data from multiple sources (sales, marketing, clinical, etc.) into our cloud data platform. Ensure pipelines are scalable, efficient, and minimize downtime through automation and monitoring. Manage and optimize cloud-based data infrastructure (AWS and Azure) for data storage and processing. Oversee the provisioning of resources, scheduling of jobs, and infrastructure-as-code deployments to ensure high availability and performance of data systems. Implement data governance best practices, including data quality checks, validation processes, and metadata management. Maintain data privacy and compliance with industry regulations (e.g., HIPAA, GDPR), ensuring that sensitive data is handled securely and ethically. Develop continuous integration/continuous deployment (CI/CD) pipelines for data workflows and analytics applications. Use modern DevOps tools and containerization (Docker, Kubernetes) to deploy updates to data pipelines, databases, and analytics tools rapidly and reliably. Work closely with data scientists, BI analysts, and business stakeholders to understand data needs and translate them into technical solutions. Ensure data is accessible and well-structured for analytics, machine learning models, and business intelligence dashboards. Set up monitoring, alerting, and logging for data pipelines and databases to proactively identify issues and improve system reliability Troubleshoot and resolve data pipeline failures, data discrepancies, or performance bottlenecks in a timely manner to minimize impact on business operations. Create and maintain clear documentation for data pipelines, infrastructure configurations, and processes. Champion DataOps best practices across teams, mentoring junior engineers and guiding developers in efficient data engineering and operational excellence. Required Skills, Experience and Education: Bachelor's degree (or equivalent experience) in Computer Science, Data Engineering, Information Systems, or related field. 7+ years of hands-on experience in Data Engineering, DevOps, or DataOps roles, with a track record of designing scalable data pipelines and infrastructure Experience in pharma/life sciences. Excellent written and verbal communication skills, able to clearly explain complex data pipelines and infrastructure concepts to both technical colleagues and non-technical stakeholders. Strong team player who partners well with cross-functional teams on requirements and solutions, open to giving and receiving constructive feedback and sharing knowledge. Analytical mindset with a solution-oriented approach, capable of troubleshooting issues across the tech stack (data, code, infrastructure) and driving problems to resolution. Comfortable working in ambiguous environments, defining operating models, processes, roles, and responsibilities while executing and building capabilities and platforms. Self-motivated and accountable, with a high sense of ownership over deliverables. Strong experience with cloud platforms such as AWS or Azure (e.g., S3/ADLS, Lambda/Functions, EC2/VMs, Glue/Data Factory, etc.). Ability to architect and manage data warehouses or lakehouse solutions on the cloud (Databricks preferred). Proficiency in SQL for data querying and manipulation, as well as programming in Python (Pandas, PySpark, or similar data frameworks) for building pipeline logic and automation. Experience with containerization and orchestration tools (Docker and Kubernetes) to deploy data services and ensure reproducible environments. Knowledge of workflow orchestration platforms (Airflow, Airbyte, Fivetran, or similar) for scheduling and managing complex data workflows and integrations. Hands-on experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps. Expertise in using infrastructure-as-code (Terraform, CloudFormation) and configuration management (Ansible, Helm) to automate deployments and environment management. Experience with big data processing frameworks (Spark) or streaming platforms (Kafka, Kinesis). Demonstrated ability to implement monitoring/logging (CloudWatch, Datadog, Splunk, or ELK stack) for data systems. Familiarity with version control (Git) and collaborative development workflows. Experience with supporting data science and AI/ML workflows, such as provisioning data for machine learning models or knowledge of MLOps principles. Solid understanding of relational and NoSQL databases (e.g., PostgreSQL, SQL Server, MongoDB) and data modeling concepts. Preferred Skills: Experience with oncology data or commercial/medical affairs pharma data at time of launch. Understanding of industry-specific data sources, terminology, and compliance requirements is a strong plus. Familiarity with regulations and standards such as HIPAA, GDPR, and GxP as they pertain to data handling and software validation in pharma. Ability to optimize data pipelines for analytics tools like R, SAS, or visualization platforms (Tableau, Power BI). Relevant certifications such as AWS Certified Data Analytics or Azure Data Engineer that demonstrate validated expertise. Experience leading data engineering projects or initiatives. Ability to coordinate work among team members, manage project timelines, and engage with stakeholders to gather requirements and report progress. The base salary range for this full-time position is $158,000 to $198,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base salary is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. #LI-Hybrid #LI-YG1

WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we're saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US At SimCorp, we facilitate the streamlining of investments, accounting, and operations for major global financial institutions. We do this through IT systems, processes, and financial knowledge. Implementing our software by way of high-quality projects is at the core of what we do. To introduce our software to our clients, business consultants are essential to us. In the role of Lead Business Consultant specializing in Data Management and Data Integration, your participation will be instrumental in the expansion of our market unit and in advancing the outcomes of our clients' projects. You will normally be working full-time on implementation projects, which require your special expertise in Data Management and Data Integration, and you will be responsible for all aspects of the project stream. You will act as an important sparring partner for your clients and effectively monitor, coordinate, and escalate issues as needed. WHAT YOU WILL BE RESPONSIBLE FOR Responsibility for major parts of SimCorp One implementation projects: You know the customer requirements and processes related to Investment Operations at banks, asset managers and insurers and outline solutions for optimal use of SimCorp One Close cooperation with the project manager and key role in developing projects to success Gain understanding of SimCorp's Global Standard Solutions and utilize them for project delivery Key contact for our customers for all questions in connection with SimCorp One Instruct and mentor less experienced colleagues on the job Contribute to improving best practices for implementation processes and promote topics across projects Actively participate in know-how exchange with colleagues on an international level WHAT WE VALUE Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to have expertise at several of the following: Previous experience as an Analyst or (Implementation) Consultant for asset managers, asset owners, banks or consulting firms Hands-on experience with SimCorp One / SimCorp Dimension (SCD) Excellent know-how in at least two of the following areas: Enterprise Data Management Data Integration architecture, patterns and standards WS*, REST API, JSON XML, XSLT and other scripting languages like Phyton Relational Databases: Oracle, SQL Server and/or ETL tools C# or any other object-oriented language Testing e.g., Test-Driven Development, agile testing, test automation, test methodologies System performance improvements Continuous integration and delivery (CI/CD) Experience working on software implementation projects in the financial industry. Ability to manage assigned tasks and deliver the results on time Basic understanding of financial industry/products and related workflows Very good communication skills and proficiency in English - both oral and written Ability to travel to client's site BENEFITS An attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an extensive work-life balance and opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. For New York City only: The salary range for this position is $133,000 - $170,000. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave, and retirement plans. Your total compensation may vary based on role, location, department and individual performance. NEXT STEPS Applications are continuously assessed, so please send your CV in English as soon as possible. Please note: Only applications sent through our system will be processed. For those keen on exploring opportunities with SimCorp but questioning the alignment with this position, we welcome you to submit your CV for consideration. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you in discovering the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. Therefore, during the process, we will ask you to provide your feedback, which is highly appreciated . WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, education, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients, with SimCorp as the overarching company brand and Axioma as a key product brand. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. #Li-Hybrid

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. FOR INTERNAL USE ONLY (NOT POSTED) The Data Operations Group at Eisai, Inc. is looking for an Director- Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. The Data Operations Group at Eisai, Inc. is looking for an Director- Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. THIS SECTION IS FOR INTERNAL USE ONLY (NOT POSTED) The Data Operations Group at Eisai, Inc. is looking for Associate Director- Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. The Data Operations Group at Eisai, Inc. is looking for Associate Director- Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science Master's degree from an accredited institution with research projects. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Industry/Sector Not Applicable Specialism Cybersecurity & Privacy Management Level Senior Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in information security at PwC will focus on protecting sensitive data and systems from cyber threats through risk assessments, security audits, and implementing robust security measures. Your work will help enable the confidentiality, integrity, and availability of information assets for clients. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Cybersecurity team you contribute to the development and implementation of data governance strategies and practices. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building client relationships and developing a deeper understanding of the business context. You are responsible for leading data governance projects, defining strategies and roadmaps, and supporting technology implementation in a complex business environment. Responsibilities - Lead initiatives in data governance and strategy development - Develop, implement, and maintain data quality processes to ensure data integrity across the organization. - Develop and implement data integration solutions for metadata, data lineage, and data quality. - Monitor data quality metrics and perform regular data quality assessments. - Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards. - Collaborate with data owners and stewards to ensure compliance with data quality standards. - Guide and mentor team members to uphold exemplary standards - Cultivate meaningful client relationships and understand their business needs - Drive the execution of data governance projects and roadmaps - Support the integration of technology solutions in complex settings - Analyze intricate problems to deliver impactful solutions - Foster a culture of continuous improvement and learning - Maintain adherence to cybersecurity and information security protocols What You Must Have - Bachelor's Degree in Computer Engineering, Computer Applications, Computer Management, Computer Science, Computer and Information Science, Computer Programming - 3 years of experience What Sets You Apart - Master's Degree preferred - EDM Council DCAM Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Data Management Professional (CDMP) certifications preferred - Managing projects with data governance strategy and architecture - Leading Data Governance projects and defining strategy - Deploying data lineage and data flow inventory solutions - Implementing structured data archiving and lifecycle management - Understanding data privacy and regulatory aspects - Experience with implementation of Batch, and API pipelines. - Experience with SQL, DQ tools like collibra , monte carlo , soda, informatica, anomalo , - Experience implementing data quality framework and socialization Understanding of data observability frameworks - Hands on experience with platform observability tools like datadog , Grafana, Splunk - Experience driving incident management initiatives. Good understanding of the stages of incidents - Designing conceptual and physical data architecture - Utilizing data quality tools for rule development Travel Requirements Up to 40% 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

Job Title: Data Architect - Business and Go-To-Market Data Architecture Job Location: Westminster, CO Our Department: Trimble Field Systems - Business Transformation Team Are you passionate about transforming complex data into clear, actionable insights that drive business success? We are seeking a highly skilled, motivated, experienced, and strategic-thinking Data Architect to lead the overhaul of our underlying data architecture in our Field Systems Business Systems. You will be responsible for working across Field Systems and corporate stakeholders to understand challenges with the current architecture, evolving business needs, and defining how we can better manage our offerings with underlying part number data to meet our evolving needs. This role requires gaining a deep understanding of the current data architecture framework and the ability to work collaboratively with cross-functional teams to understand current challenges, define and document the strategy, and plan the creation, implementation, and migration of the new architecture. We are looking for ways to better manage product data (part numbers, categories, etc.) to enable greater flexibility in how we define offerings, optimize managing dealer portfolio access, dealer incentives, sales reporting, forecasting, inventory, and more. This role will enable the businesses to reduce the part numbers we are offering and manage, and consolidate parts between different business units within Field Systems. Once the architecture is final and approved, you will be responsible for planning and leading the implementation and transition with cross-functional stakeholders from the business, finance, channel management, and operations. This will require strong change management and communication skills, as changing the data architecture and structure will have a significant impact on business processes and business systems. What You Will Do Lead the redesign of our data architecture, focusing on the organization and management of part numbers, SKUs, and their categorization into product families, product lines, and product groups. Collaborate with stakeholders to understand business requirements and translate them into effective data architecture solutions. Ensure consistency, accuracy, and scalability of part numbers and part number groupings across all businesses. Develop and implement strategies to optimize the management of dealer portfolio access, dealer incentives, and sales reporting. Collaborate with cross-functional teams to plan the implementation and migration of the new data architecture. Ensure the new data architecture aligns with corporate requirements and objectives. Create and validate the new data architecture with stakeholders, ensuring it meets business requirements and objectives, especially those of the channel strategy. Lead the implementation of the new data architecture, working closely with cross-functional stakeholders to ensure a smooth transition. Provide technical leadership and guidance to the data migration team and other relevant teams. Develop and enforce data governance policies and standards to ensure data quality and integrity. Work closely with data engineers, data analysts, and other IT professionals to implement and maintain the new data architecture. Conduct regular audits and assessments of the data architecture to identify areas for improvement and ensure compliance with industry best practices. ​ What Skills & Experience You Should Bring Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience with data architecture, with a strong background in data architecture principles and data governance. Extensive experience in redesigning and optimizing data management processes, particularly in organizing and managing part numbers, SKUs, and categorization. Good understanding of channel operations, dealer incentives, sales reporting, and forecasting. Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams. Demonstrated ability to lead the implementation of new data architectures and manage the migration process. Strong problem-solving skills and attention to detail. Experience with data modeling, database design, and data integration. Project Management skills. Systems thinking mindset. ​ About Your Location This position is based in Westminster, CO. This role may be eligible for a flexible work arrangement (hybrid), where you will work with your manager to establish a mutually agreeable schedule for your time working in the office based on the position and business need. Typically, hybrid positions are 1-3 days per week, or 20%-60% of the month in the office. Trimble’s Privacy Policy - Pay Equity - Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law. - Hiring Range: 144584 - 195252 - Bonus Eligible? Yes - Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. - Trimble is proud to be an equal opportunity employer. We welcome and embrace our candidates' diversity and take affirmative action to employ and advance individuals without regard to race, color, sex, gender identity or expression, sexual orientation, religion, age, physical or mental disability, veteran status, pregnancy (including childbirth or related medical conditions), national origin, marital status, genetic information, and all other legally protected characteristics. We forbid discrimination and harassment in the workplace based on any protected status or characteristic. A criminal history is not an automatic bar to employment with the Company, and we consider qualified applicants consistent with applicable federal, state, and local law. The Company is also committed to providing reasonable accommodations for individuals with disabilities, and individuals with sincerely held religious beliefs in our job application procedures. If you need assistance or an accommodation for your job, contact AskPX@px.trimble.com

Job Title: Business Analyst (Data Governance and Data Quality Management) Location: Auburn Hills, MI.  Must be local or relocation (out of pocket from day 1).  No exceptions.  HEAVY preference for locals in this group.  NO West Coast candidates (PST) will be considered Duration:  Long-term    Job Type: Contract – W2 Work Type: Hybrid/Onsite Hybrid / on-site 2 days a week in Auburn Hills, MI NOTE: Highlighted Job duties ARE the  REQUIRED SKILLS , please make sure that they have details around these types of duties clearly outlined in their resumes.  Thank you. Location:  Auburn Hills, MI (at least two days on site per week) Business Analyst (Data Governance and Data Quality Management) · Partner with Data Stewards and Information Architects in support of Data Governance and Data Quality Management activities  for the Chief Data & Analytics Office.  · Collaborate with business and technical stakeholders to query/research data sources, and analyze data for various initiatives, include regulatory and operational reporting.  · Responsible for  researching, gathering, and documenting data, metadata, and reference data in our Collibra Data Catalog  to ensure it  aligns with regulatory expectations. · Meet with various stakeholders to gather information, facilitate meetings, conduct research, and document information . · Financial Services / Banking experience preferred .     Kindly please share your resumes to ‪ srikar@isofttekinc.com or ‪(707) 435-3471

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions. At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements: Hybrid People Leaders: must reside in AZ, required to be onsite at least once per week Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month Onsite: daily onsite requirement based on the essential functions of the job Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per month. This position is hybrid within the state of AZ only. This hybrid work opportunity requires residency, and work to be performed, within the State of Arizona. PURPOSE OF THE JOB Designs and implements business intelligence and extract, transform, and load (ETL) solutions using programming, performance tuning, data modeling. Creates databases optimized for performance, implementing schema changes, and maintaining data architecture standards across all of the business’s databases. Serves as a liaison between the Database Administration department and development teams. REQUIRED QUALIFICATIONS Required Work Experience 4 years of experience in computer programming, query design, and databases 6 years of experience in computer programming, query design, and databases (Senior level) Required Education High-School Diploma or GED in general field of study Required Licenses N/A Required Certifications N/A PREFERRED QUALIFICATIONS Preferred Work Experience 4+ years of experience building and managing complex Data Integration solutions. 4+ years of experience in computer programming, query design, and databases 4+ years of experience Database administration with SQL Server 6+ years of experience building and managing complex Data Integration solutions (Senior) 6+ years of experience in computer programming, query design, and databases (Senior) 6+ years of experience Database administration with SQL Server (Senior) Preferred Education Bachelor’s Degree in Information Technology or related field preferred Master’s Degree in Information Technology or related field (Senior) Preferred Licenses N/A Preferred Certifications MS SQL Certification or other certification in current programming languages ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES Data Engineer – Performs job functions with general supervision and peer review Learn area’s direct flow; and how it affects surrounding systems and operational areas. Architect, design, construct, test, tune, deploy, and support Data Integration solutions for various data management systems. Contribute to the team’s knowledge base with useful information such as adopted standards, procedure documentation, problem resolution advice, etc. Participate in the promotion of SQL Server best practices Collaborate with other technology teams and architects to define and develop solutions. Research and experiment with emerging Data Integration technologies and tools. Work with the team to establish and reinforce disciplined software development, processes, standards, and error recovery procedures are deployed; ensuring a high degree of data quality. Support Enterprise database clustering, mirroring, replication among other SQL Server technologies. Develop, write and implement processing requirements and post implementation review Facilitate and/or create new procedures and processes that support advancing technologies or capabilities Design & Implement Extract, Transform, and Load (ETL) solutions utilizing SSIS Apply data mining rules Create logic, system, and program flows for complex systems, including interfaces and metadata Write and execute unit test plans. Track and resolve any processing issues. Implement and maintain operational and disaster-recovery procedures. Participate in the review of code and/or systems for proper design standards, content and functionality. Participate in all aspects of the Software Development Life Cycle Analyze files and map data from one system to another Adhere to established source control versioning policies and procedures Meet timeliness and accuracy goals. Communicate status of work assignments to stakeholders and management. Responsible for technical and production support documentation in accordance with department standards and industry best practices. Maintain current knowledge on new developments in technology-related industries Participate in corporate quality and data governance programs The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. Senior - Performs job functions with minimal supervision in a Lead capacity Research, analyze, track and resolve complex production problems. Build, support, and maintain complex processes, programs, and data. Evaluate high-level project information and assess project components to forecast work effort required. Provide peer-level review and mentoring to peers. Participate and/or lead complex technical projects. Act as a subject matter expert in two or more of areas as assigned: BI Production Reporting Database Architecture Database Architecture and Support Training Act as primary operational contact for internal and external customers when needed or in the absence of manager. Ensure Service Level Agreements between department and operational or technical areas are met. Lead, develop and mentor staff by providing opportunities for growth through delegation, training, and assignment to various project teams. Inform manager of any issues impacting the efficient and effective performance of the department including system, resource, and informational barriers; Provide timely feedback to team member on performance. Assist the manager in the day-to-day operations of the department. ALL LEVELS Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels. Maintain current on new developments in technology-related industries. Participate in corporate quality and data governance programs. Participate in on-call rotation. Perform all other duties as assigned. The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. Participate in on-call rotation. REQUIRED COMPETENCIES Required Job Skills (Applies to All Levels) Intermediate skill in use of office equipment, including copiers, fax machines, scanner and telephones Intermediate PC proficiency in spreadsheet, database and word processing software Advanced knowledge of business intelligence, programming, and data analysis software Intermediate knowledge of Microsoft SQL databases and database administration Intermediate proficiency in T-SQL, NZ-SQL, PostgreSQL, NoSQL, Hadoop, data tuning, enterprise data modeling and schema change management. Working technical knowledge of current software protocols and Internet standards to the extent that they apply to database administration. Excellent database troubleshooting skills Working technical knowledge of PowerShell. Strong object-oriented design and analysis skills Experience consuming, organizing and analyzing JSON and XML messages as data Required Professional Competencies (Applies to All Levels) Knowledge of agile development practices Strong analytical skills to support independent and effective decisions Ability to prioritize tasks and work with multiple priorities, sometimes under limited time constraints. Perserverance in the face of resistance or setbacks. Effective interpersonal skills and ability to maintain positive working relationship with others. Verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Systems research and analysis. Ability to write and present business intelligence documentation Demonstrate the ability to stay current on global threats and vulnerabilities. Maintain confidentiality and privacy Required Leadership Experience and Competencies Build synergy with a diverse team in an ever-changing environment Facilitate and resolve customer requests and inquiries for all levels of management within the Corporation (Senior only) Participation in one or more groups that aids in setting/enforcing standards and/or providing educational opportunities across the IT organization. (Senior only) PREFERRED COMPETENCIES Preferred Job Skills (Applies to All Levels) Knowledge of HIPAA regulations Advanced proficiency in spreadsheet, SQL queries, database, flow charting, and word processing software Advanced knowledge of data mapping techniques Advanced knowledge of computer operating systems Advanced knowledge of decision support systems Advanced knowledge of programming, database systems, and data management. Advanced knowledge of decision support systems Advanced knowledge of Business Objects Preferred Professional Competencies (Applies to All Levels) Advanced systems research and analysis expertise Impeccable project management skills Solid technical ability and problem-solving skills Knowledge of internal departments and operations Strong technical documentation skills and a strong ability to translate technical concepts so that they are easily understood by laypersons Preferred Leadership Experience and Competencies (Applies to Senior level) Ability to provide mentoring and peer review to junior team members Ability to build lesson plans and deliver lessons to junior team members Our Commitment AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group. Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. Unlock the Power of Data at Pacific Life. W e’re seeking talented Sr Data Governance and Quality Analyst to join our Pacific Life Data Team in Newport Beach, CA . This role is Hybrid. We believe in empowering our employees to get work done both in and out of the office. The Sr. Data Governance and Quality Analyst role is a strong functional and technical role with skills in the Data Governance and Quality including, data quality and observability framework, data profiling, quality assurance methodologies and tools providing services and solutions aligned with overall Pacific Life’s PL Data Management strategy. The Sr. Data Governance and Quality Analyst is responsible for the design, implementation, and improvement of the PL data governance quality and observability framework, tools. This individual will partner closely with the Data Governance director, Business stakeholders and other Data Management verticals to contribute to the PL’s Data Strategy to drive improvements in data quality, efficiency, effectiveness, and user experience. How you will help us move forward: Participate in the roadmap, approach, and socialization of Data governance and quality processes to drive our division’s Data governance and quality strategy forward. Define the data quality rules per standard and disseminate this information out to the business and technical communities. Analyze data and partner with domain owners, data stewards, and other business and IT stakeholders to ensure data quality is per business need and provide insights on health of data. Collaborate across business and technical associates to identify and resolve data errors/issues, escalating material issues that could impact business decision-making. Facilitate and ensure that business rules are maintained, and data anomalies are resolved appropriately. Play a leading role within project teams in the development and deployment of Data Quality process improvement deliverables using the lean methodology. Intersect process requirements to Data Quality technology needs and business value measurements by identifying KPIs and build dashboards for DQ Insights. Partner with other Data Management Analysts and the Data Steward community to drive adoption of data quality in each business area, ensuring alignment with Enterprise standards. Build effective relationships with key business partners across the company. Act as the focal point for Divisional and Analytics business partners, who are driving data strategy and requirements. Experience You Bring: Minimum of 6+ years’ of professional Data Quality and governance experience that covers standards and policies, data error resolution, and data quality practices including data profiling and data quality monitoring. 4+ years of experience defining and establishing data governance and quality processes within an enterprise that covers domains such as customer, finance, and compliance. Familiarity with Cloud computing software and leading ETL and orchestration technologies with clear understanding of ETL process Demonstrates understanding of business and data strategy and how it’s connected to Data Quality. Demonstrates experience with metrics gathering, tracking, and reporting. Experience working on complex business/technology initiatives within and across multiple verticals/domains. Ability to analyze complex data issues and determine appropriate policies, standards, and solutions to enhance the experience for data users. Bachelors degree in Computer science or equivalent Strong written communication skills including experience drafting policies and procedures. Strong Stakeholder management, relationship building skills, demonstrated consultative approach, and influencing skills is a must. Demonstrated project management skills. Highly self-motivated, willingness to take personal risk and detail oriented. What makes you stand out: Experience in Data Governance and Quality tools such as Collibra, Alation, Informatica Data Quality, Monte Carlo will make you stand out. Data management experience in the Financial Services Industry Familiarity Data transformation tools like Matillion,, DBT data visualization tools like Tableau, PowerBI are a plus. Intermediate skill set in Python, SQL, CI/CD practices. Knowledge of data warehouse, data lakes and other associated technologies Support effective communication and training for data quality process, tools, and measurements. #LI-DW1 #LI-Hybrid You can be who you are. People come first here. We’re committed to a diverse, equitable and inclusive workforce. Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at www.pacificlife.com. What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Benefits start Day 1. Your wellbeing is important. We’re committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered. • Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents • Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off • Paid Parental Leave as well as an Adoption Assistance Program • Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $110,700.00 - $135,300.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Senior Staff Engineer, Data Security- Nutanix Data Lens Hungry, Humble, Honest, with Heart. The Opportunity This is a high-visibility opportunity to join Nutanix's Unified Storage Group as the Senior Director, Product Management for Nutanix Data Lens (NDL). In this role, you’ll lead strategic product innovation and development of next-generation data management, security, and compliance solutions. You will architect and guide the evolution of critical security features including ransomware protection, data classification, and anomaly detection. This position offers significant career growth potential, providing the chance to expand influence across the entire Nutanix HCI portfolio and shape enterprise-grade data security strategies leveraging cloud, Kubernetes, and advanced analytics. About the Team The Nutanix Unified Storage Group is dedicated to pioneering advanced data management, security, and compliance solutions to empower enterprises in navigating complex storage ecosystems. The Data Lens team is a dynamic, globally-distributed group, passionate about leveraging cloud-native technologies, containers, and AI-driven analytics to deliver transformative solutions that protect and optimize enterprise data assets. Under leadership recognized for collaborative innovation and a bias for action, team members thrive in a culture of ownership, technical excellence, and mutual support. Your Role Lead architecture, design, and innovation of critical data security solutions including ransomware protection, data classification, and anomaly detection for Nutanix Data Lens. Collaborate directly with product management, customers, and engineering teams to deliver scalable, customer-driven security products and features. Provide hands-on technical leadership, mentoring junior engineers and accelerating development processes to enhance product performance and market readiness. Engage cross-functionally to ensure alignment with broader Nutanix product ecosystems and drive a strategic roadmap for unified HCI-wide data security solutions. What You Will Bring Bachelor’s or Master’s degree in Computer Science or a related technical discipline. 12+ years of proven experience in product engineering and architecture, specifically within data security domains (ransomware protection, data classification, anomaly detection). Demonstrated success developing scalable, enterprise-grade software products, deployed and utilized by multiple enterprise customers. Hands-on programming and software development skills in Golang and Python within Linux-based environments. Deep expertise in cloud services, containerization (Kubernetes), and microservices architecture. Solid understanding of public cloud platforms and associated service ecosystems. Proven track record mentoring technical teams and leading complex projects with multiple stakeholders across product management and customer success teams. Work Arrangement On Site: This role is based on-site, offering the opportunity to collaborate face-to-face with team members in a dynamic and engaging work environment. Being physically present allows for seamless teamwork and direct access to resources that support your success. Additional team-specific guidance and norms will be provided by your manager. The pay range for this position at commencement of employment is expected to be between USD $ 182,400 and USD $ 364,800 per year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith. --

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: A career in our Business Intelligence practice, within Data and Analytics Technology services, will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. Leveraging a collection of organizational technology capabilities, including business intelligence, data management, and data assurance, we help our clients drive innovation, growth, and change within their organization using business intelligence. Our rapid business intelligence solutions, data visualization, and integrated reporting dashboards allow our team to deliver agile, highly interactive reporting and analytics that help our clients to run their business, understand what business questions can be answered and how to unlock the business drivers more effectively. Specific responsibilities include but are not limited to: Crowe is looking for a Data Solutions Architect to be a leader on our team of problem solvers with extensive consulting and industry experience. The primary focus will be helping our clients solve complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment. Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making. Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data. Ensure data quality and integrity through best practices in data management and governance. Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment. Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth. Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies. Keep abreast of evolving regulations and industry standards related to BSA/AML and financial crime prevention. Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements. Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies. Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance. Represent the organization at industry events and conferences as a subject matter expert in data consulting for BSA/AML. Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery. Participate in presales engagements to manage the vision and expectations of a client’s multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team. Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client. Lead and provide technical guidance and mentorship to other team members. Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment. Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation. Document, diagram, and present complex/technical material that can be understood by a non-technical audience. Create and deploy accurate client architecture and analyses in a relatively short period of time. Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required. Advanced degree (Master’s/Ph.D.) is preferred. At least 7–10 years of progressive experience in data analytics, consulting, or financial services; a strong background in banking and regulatory compliance implementations is desired. Proven track record in managing complex data projects and leading cross-functional teams. Experience in working with large datasets, data warehousing, and advanced analytics tools. 8+ years of hands-on experience in enterprise data warehouse and data lake implementations 5+ years of external client consulting experience 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems 5+ years of team management experience (including offshore resources) 5+ years of experience leading multiple external client projects simultaneously 5+ years of preparing detailed external client project budget estimations with strong resource management capabilities 3+ years of in-depth experience in architecting, designing, and implementing complex data architectures on Azure including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics Experience mentoring teammates or conducting technical training Possess integrity and a strong work ethic Strong analytical and verbal/written communication skills Certifications (Preferred) Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner), or related data analytics certifications are a plus. Preferred Skills and Experience In-depth understanding of BSA/AML regulations and compliance requirements. Experience working in or consulting for financial services clients is highly desirable. Hands-on experience with comprehensive dimensional modelling and end-to-end data warehouse projects, including: requirements gathering infrastructure planning and deployment subject matter expert interviews logical and physical dimensional model design and development ETL/ELT development and maintenance model and data validation documentation Previous consulting experience or experience working with external clients Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL). Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies. Familiarity with machine learning frameworks and cloud-based data platforms is advantageous Experience working on projects using agile development practices Azure experience: building landing zones, provisioning resources, establishing security is a big plus Key Stakeholders This Role Interacts With: Internal Senior BI Analyst Data Product Manager BI Architect / Senior Architect Data Engineers Analytics Developers (Power BI, Tableau) External C-Suite Executives (CEO, CFO, CIO, etc.) Clients Operations Leads and Mid-Level Managers Data Owners, Data Stewards Enterprise Information Management and Data Governance Team We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year. Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world. Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge. Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

Associate Data Recon Analyst, Performance & Data Recon Are you a detail oriented? Are you solution-driven and passionate about delivering results? Do you like thinking outside the box, learning new skills and problem solving? Excited to learn more? If so, then this could be the role for you! Job Overview: The Associate Data Recon Analyst provides Advisory Accounting support to the Performance and Data Reconciliation (PDR) department by identifying, troubleshooting, and solving accounting and data issues. This role works closely with Analysts and Senior Analysts to document and maintain department procedures. Responsibilities: Owning accountability to fulfill and complete reconciliation breaks within strict service level agreement (SLA) guidelines. Working effectively and efficiently through month-end transactional and performance quality controls. Supporting data flow management and quality control to ensure processing of investment data into downstream systems. Identifying, troubleshooting and solving for accounting and data related issues Analyzing and addressing abnormalities that impact fee billing calculations with comprehension of monthly rate of returns Supporting process improvement, creation, documentation, and implementation; partnering with Analysts and Senior Analysts to maintain and update department procedures Supporting the team in problem solving and root cause analysis Organizing processes and tracking progress toward team and individual goals Validating performance returns using time- and money-weighted performance calculations What are we looking for? We want strong collaborators who can deliver a world-class client experience . We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented , and are able to execute in a way that encourages creativity and continuous improvement . Requirements: Bachelor's degree (Finance preferred) Proficient in Microsoft Suite with advanced Excel skills (lookups, pivot tables, formulas, etc.) Basic SQL knowledge Database management experience Strong multi-sleeve reconciliation skills Core Competencies: Understanding of complex financial vehicles Strong time management organizational skills with the ability to work independently Professionalism in a virtual environment, along with a team-oriented mindset and engagement Excellent verbal and written communications skills Strong attention to detail with a proactive approach to solving and preventing problems Highly motivated and agile; able to adapt to changing priorities Compensation Grade 4 ** This is a hybrid role, requiring three days a week in-office. LPL Financial Personnel Privacy Policy Why LPL? At LPL, we believe that objective financial guidance is a fundamental need for everyone. As the nation’s leading independent broker-dealer, we offer an integrated platform of proprietary technology, brokerage, and investment advisor services. We provide you with a work environment that encourages your creativity and growth, a leadership team that is supportive and responsive, and the opportunity to create a career that has no limits, only amazing potential. We are one team on one mission. We take care of our advisors, so they can take care of their clients. Because our company is not too big and not too small, you can seize the opportunity to make a real impact. We are committed to supporting workplace equality, and we embrace the different perspectives and backgrounds of our employees. We also care for our communities, and we encourage our employees to do the same. This creates an environment in which you can do your best work. Want to hear from our employees on what it’s like to work at LPL? Watch this! We take social responsibility seriously. Learn more here ! Want to see info on our benefits? Learn more here . Pay Range: $22.61-$37.68/hour Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) was founded on the principle that the firm should work for advisors and institutions, and not the other way around. Today, LPL is a leader in the markets we serve, serving more than 23,000 financial advisors, including advisors at approximately 1,000 institutions and at approximately 580 registered investment advisor ("RIA") firms nationwide. We are steadfast in our commitment to the advisor-mediated model and the belief that Americans deserve access to personalized guidance from a financial professional. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation’s leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission—taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947. EAC1.22.25

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. The hands-on Staff Data Engineer is responsible for designing and architecting highly scalable data storage solutions and platforms/tools for vehicle data, manufacturing, sales, finance and other data systems. If you enjoy architecting large-scale systems, working with a talented team of engineers, and collaborating with some of the brightest minds in the Automotive industry, Lucid is the place to experience it.   The Role: • Data Platform Leadership: Lead the architecture, design, and development of big data streaming systems and tools on business priorities and cost optimization. • Technology Utilization: Leverage cutting-edge distributed big data technologies such as Docker, Kubernetes, Spark, MQTT, gRPC, rosbag, Kafka, S3 Data Lake, and video/audio processing. • Team Leadership: Act as a hands-on technical leader, guiding the team in making key architectural decisions, unblocking challenges, and ensuring successful execution. • Application Architecture: Collaborate on application architecture and deep understanding of cloud data applications. Being able to close the gap between infrastructure and the data team. • Strategic Vision for Data Integration: Drive the technical and strategic vision for our data platform and work closely with the infrastructure team to meet current and future scalability and interoperability needs.   You Bring: • B.S. or M.S. in Computer Science or a related field. • 10+ years of hands-on industry experience in data architecture or software engineering. • 3+ years of experience architecting solutions and platform deployment for big data environments. • Deep knowledge of modern data/compute infrastructure and frameworks, such as Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, rosbag, MQTT, and gRPC. • Proven experience in architecting streaming, real-time, and near real-time data pipelines using tools like Spark or Kafka. • Working knowledge of data lake architectures with Parquet and HCatalog. • Ability to cultivate a strong sense of ownership and build a culture of accountability within the team. • Openness to new ideas and the ability to evaluate multiple approaches, selecting the best based on fundamental qualities and supporting data. • Exceptional communication skills to articulate highly technical problems and solutions to diverse audiences, from engineers to executive leadership. • Proven track record of setting technical vision and delivering results in a collaborative, cross-functional environment. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits : Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $153,100 — $224,510 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

About the job Our Data Team is looking for a Data Engineer to make a difference in the further development of our Data Warehouse solutions, designing and developing our data platform for the business needs. You will have an opportunity to make a difference in the development of our Data Platform The Wow In this role, you will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. You will have the chance to design new data pipelines, maintain platforms hosted both on premise and cloud, manage real-time API integrations and apply transformations on data streams for batch-loading and real-time visualisations. For any Technical Data wiz out there, Betsson Group is the next step! This is the perfect environment to put your skills to the test by building a consolidated Data Platform with innovative features and most importantly joining a bunch of talented and fun group of people. A taste of what you will be involved in Maintaining and evolving our existing data platform; Involved in data integrations which includes internal data, 3rd parties, and also migrations; Ingestion of streaming data and applying transformations to data streams; Being involved in data modelling following data standards such as Inmon and Kimball Ensuring data quality by verifying data consistency and accuracy; Keeping up to date on research and development of new technologies and techniques to enhance our data platform; Collaborating with the Data DevOps, Business Intelligence and other multi-disciplined teams within Betsson; Comfortable working in an agile environment involving SDLC; Familiar with the change and release management process; Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management; Full ownership on projects and tasks assigned together with being able to work within a Team; Able to document well processes and perform knowledge sharing sessions. What We Are Looking For Experience with modern cloud database technologies such as Snowflake; Experience with orchestrating data pipelines using Airflow; Experience with SQL, and Data Integration Tools; Experience with any programming language like Python or Java; Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS; Development experience in both Microsoft, and Linux/Cloud environments; Have strong analytical and problem-solving skills; Nice to have Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault; Familiar with data streaming using technologies such as Kafka; Familiar with software versioning tools like GIT; Familiar with infrastructure scripting like Terraform; Familiar with data flow systems such as Apache NiFi; Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch; Scripting - Powershell, Unix Scripting What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy  

Senior Data Analyst At Current, we’re on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we’re a leading U.S. fintech and one of the fastest growing companies with over million members. No matter your title, we welcome everyone to build great products, grow quickly, and make an impact together. ABOUT THE ROLE We are looking for a Senior Data Analyst with experience in B2C/DTC Member Experience or Customer Success. In this role, you will use data to drive strategic decisions, improve business performance, and enhance our customer interactions to create a seamless user experience. You will use advanced analytics to find trends, evaluate performance, and deliver strategic insights that facilitate data-driven decision-making within the Member Experience team and across the organization. The ideal candidate has a deep understanding of customer behavior, a passion for data-driven decision-making, and a proven ability to translate insights into actionable strategies. RESPONSIBILITIES Analyze member experience data to identify trends, pain points, and opportunities for operational efficiency. Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) that tie customer success effectiveness, member satisfaction, and engagement to business bottomline metrics. Utilize internal and third-party data to conduct in-depth analyses, identify gaps, mitigate friction and pain points, and optimize customer interaction across channels. Partner with cross-functional teams, including Product, Engineering, and Customer Success, and leverage such techniques as A/B testing and customer segmentation to enhance personalization and support strategies. Provide actionable insights to leadership on customer outreach behavior, support efficiency and satisfaction, and areas for innovation. Ensure data integrity, accuracy, and governance in analytics pipelines across multiple customer interaction channels. Participate in on-call rotation to support production analytics data pipelines. Mentor junior analysts and contribute to a data-driven culture within the team. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a customer-centric industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI. Expertise in customer support analytics, customer satisfaction score (CSAT) analysis, and operational efficiency metrics. Experience in A/B testing, customer segmentation, and deep dive analysis in the context of informing business strategies from user behaviors. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Strong project ownership and the ability to drive requirement gathering and prioritization. Experience with CRM systems (e.g., Zendesk) and customer feedback tools is a plus. Experience within the startup space is advantageous. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

If you're passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Nationwide's Information Technology team could be the place for you! At Nationwide, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care. This role will work a hybrid schedule coming into the office 2 days per week at our Columbus, Ohio (preferred), Des Moines, Iowa or Scottsdale, Arizona office. This role is to work on the Annuity Data Platform build out as part of the Annuity Modernization Program. Key Responsibilities: Design, develop, and maintain ETL pipelines using Talend for large-scale data integration projects. Optimize complex SQL queries to extract, transform, and load data across various RDBMS platforms (e.g., Oracle, SQL Server, PostgreSQL, Snowflake). Collaborate with data architects and analysts to translate business requirements into scalable data solutions. Implement and monitor job schedules, handling job failures with appropriate recovery strategies. Participate in peer code reviews to ensure adherence to development best practices and coding standards. Required Technical Skills: Hands-on experience with ETL tools such as Talend (Open Studio/Cloud). Strong proficiency in SQL, including stored procedures, indexing, and query optimization. Experience with relational database platforms such as Oracle, SQL Server, PostgreSQL, and Snowflake. Exposure to job orchestration/scheduling tools like Control-M, Apache Airflow, or equivalent. Experience working in cloud environments (e.g., AWS, Azure). Experience with app containerization using Kubernetes. Familiarity with data modeling concepts, both logical and physical. Preferred Skills: Familiarity with data warehousing concepts and dimensional modeling. Knowledge of Python or Shell scripting for automation and auxiliary data tasks. Applying GenAI tools for rapid development and/or analysis. Compensation Grade: F5 #LI-AC1 Job Description Summary Nationwide's industry leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future forward data enabled culture, we want to hear from you. As a Data Engineer you'll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready-to-use data can be for both real time and batch data processes and may include unstructured data. Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks. You'll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages. Job Description Key Responsibilities: Provides basic to moderate technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to lead in the design, development and implementation of data products. Produces data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities. Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined. Creates simple to moderate business user access methods to structured and unstructured data by such techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations and validation of data content. Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc. Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity. Writes and performs data unit/integration tests for data quality With input from a business requirements/story, creates and executes testing data and scripts to validate that quality and completeness criteria are satisfied. Can create automated testing programs and data that are re-usable for future code changes. Practices code management and integration with engineering Git principle and practice repositories. May perform other responsibilities as assigned. Reporting Relationships: Reports to Manager/Director Data Leader. Typical Skills and Experiences: Education: Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus. License/Certification/Designation: Certifications are not required but encouraged. Experience: Three to five years of relevant experience with data quality rules, data management organization/standards, practices and software development. Experience in data warehousing, statistical analysis, data models, and queries. One to three years' experience with Cloud technology and infrastructure including security and access management. Insurance/financial services industry knowledge a plus. Knowledge, Abilities and Skills: Data application and practices knowledge. Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby). Good problem solving, oral and written communication skills. Other criteria, including leadership skills, competencies and experiences may take precedence. Staffing exceptions to the above must be approved by the hiring manager's leader and HR Business Partner. Values: Regularly and consistently demonstrates the Nationwide Values. Job Conditions: Overtime Eligibility: Exempt (Not Eligible) Working Conditions: Normal office environment. ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties. Benefits We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here. Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law. Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247. NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. THIS SECTION IS FOR INTERNAL USE ONLY (NOT POSTED) The Data Operations Group at Eisai, Inc. is looking for Associate Director- Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. The Data Operations Group at Eisai, Inc. is looking for Associate Director- Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science Master's degree from an accredited institution with research projects. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation