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What We're Looking For At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. This opportunity entails serving as the technical lead for enterprise application operations, with a focus on resolving complex issues across platforms such as WebFocus, Databricks with Fabric, SQL Server, and aec360. The role involves leading efforts in the design, configuration, implementation, and continuous improvement of integrated application systems. Responsibilities include maintaining system health, optimizing performance, and ensuring secure, scalable solutions aligned with business goals. The position also supports automation initiatives, cross-functional collaboration, and vendor coordination in a lean IT environment. Participation in a 24/7 on-call rotation is required. What You'll Do: Provides guidance and oversight of tier 2 support and maintenance of applications to meet daily operational needs. Acts as escalation point if needed. Configures, maintains, and upgrades applications to meet daily operational needs and supports strategic IT projects. Designs, implements, and maintains customizations of applications to meet evolving business needs including reports, dashboards, and workflows. Designs, implements, and maintains third-party software connections and applications to support various business needs. Acts as the lead during debugging system integration and functionality issues including engagement with vendor support for defect resolution. Develops, documents, implements, and provides recommendations for enhancements to policies, procedures, and guidelines to ensure data integrity, change protocols, customization, usage, etc. Maintains up-to-date knowledge of application functionality, customization, and integration. Researches upcoming enhancements or upgrades to applications and recommends procedures for implementation. Performs other duties as assigned. What You'll Need: Associate's Degree in Computer Science or related degree and 8 years of relevant experience, or In lieu of education, 10 years of relevant experience What You'll Bring Acts as a subject matter expert in enterprise applications, including (or similar to) WebFocus and Synapse/Databricks with Fabric, with a strong grasp of application security and the ability to make informed recommendations. Demonstrates proficiency in SQL Server administration, including performance tuning, backups, alerting, and security protocols. Applies strong critical and analytical thinking to influence technical direction and validate standards across teams. Collaborates effectively across IT disciplines, enhancing cross-functional alignment and operational efficiency. Navigates ambiguity with confidence, adapting to evolving business needs and leading initiatives with clarity. Employs strong technical writing skills to produce high-quality documentation for departmental and cross-team use. Identifies opportunities for improvement in applications, policies, and procedures, and proactively enacts solutions. Leverages scripting and automation tools (PowerShell, T-SQL, Python) to streamline operations and reduce manual effort. What We Prefer 6+ years of experience in Application Operations, ideally within lean IT environments. Hands-on experience with WebFocus (or other reporting tools), SQL Server, and cloud-based database platforms (e.g., Azure SQL, AWS RDS). Familiarity with compliance and security frameworks such as SOX, HIPAA, or NIST. Experience with vendor management or fractional support models. Professional certifications such as: Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Power Platform Functional Consultant Associate AWS Certified Database - Specialty CompTIA Data+ or Security+ Additional Information Click here for benefits information: HNTB Total Rewards Click here to learn more about Equal Opportunity Employer/Disability/Veteran Visa sponsorship is not available for this position. #NF . Locations: Kansas City, MO . . . . . . . . . . . . . . . . . . NOTICE TO THIRD-PARTY AGENCIES: HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.

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

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Summary: MUSO Enterprise Risk is looking for a detail-oriented and motivated Assistant Vice President (AVP) to join the Historical Market Data (HMD) team. This role reports into the Head of Risk Appetite and Capital Analysis and focuses on managing the historical market data used in calculating Value at Risk (VaR), Stressed VaR (SVaR), and other key risk metrics. The ideal candidate will have a strong interest in financial markets, statistics, and data management, and be eager to learn and grow within a collaborative team environment. Key Responsibilities: Lead front-to-back implementations of onboarding new time series data, including spot, curve, and volatility surface time series. Identify and propose solutions to data/IT issues and follow through to ensure proper implementation. Collaborate with senior team members and Risk Analytics to develop new proxy and backfill approaches. Contribute towards the development of enhanced tooling for time series data management, working closely with IT and Risk Analytics teams. Help prepare reports on data quality, proxy usage, and backfilling updates. Contribute to impact analyses related to changes in time series data and proxy improvements. Learn from and support senior team members in day-to-day tasks and projects. Requirements: Master's degree in a quantitative field (e.g. Statistics, Financial Engineering, Mathematics, Economics, Data Science). 2-5 years of experience in financial services or data analysis. Ability to propose effective solutions to technical and data-related problems, and drive implementation to completion. Manage time series onboarding projects end-to-end, from understanding requirements to implementation and delivery. Ability to understand complex data/process flows. Proficiency in Python, SQL, Excel. Good communication skills and ability to work in a team-oriented environment. The expected base salary ranges from $95,000 - $140,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus. #LI-Hybrid Other requirements Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process. Company Overview Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit www.mizuhoamericas.com. Mizuho Americas offers a competitive total rewards package. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law. #LI-MIZUHO

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. Pay Range: $100,800.00 - $165,600.00 The Manager, Master Data Management (MDM) is responsible for leading the strategy, implementation, and ongoing governance of enterprise-wide master data initiatives and systems. This role ensures the accuracy, consistency, and integrity of key data domains (e.g., customer, product, vendor, employee) across systems and business units. The MDM Manager will collaborate with cross-functional teams to define data standards, drive adoption, and deliver measurable business value through improved data quality and governance. Key Responsibilities Develop and execute the enterprise MDM strategy aligned with business goals. Oversee the integration of master data across various enterprise systems, platforms, and data pipelines to ensure consistency and a single source of truth. Secures resources and provides direction to the project team. Act as a liaison between IT and business stakeholders to understand data requirements, provide a comprehensive view of data, and ensure MDM solutions meet business needs. Executes the project plan and tracks activities at the micro level. Lead cross-functional MDM initiatives, including planning, budgeting, and resource allocation. Define and manage program KPIs, success metrics, and reporting. Establish and enforce data governance policies, standards, and procedures. Partner with data stewards and business owners to ensure accountability for data quality. Facilitate data domain councils and governance forums. Oversee the selection, implementation, and maintenance of MDM tools and platforms. Collaborate with IT and data architecture teams to integrate MDM solutions with enterprise systems. Manage vendor relationships and ensure solution scalability and performance. Drive organizational change through training, communication, and stakeholder engagement. Promote data literacy and the value of master data across the organization. Act as a liaison between business and technical teams to ensure alignment. Qualifications Bachelor's degree in Information Systems, Computer Science, Business, or related field (Master's preferred). 7-10+ years of experience in data management, data governance, or enterprise data programs. 3-5+ years of experience managing MDM initiatives or programs. Strong understanding of MDM data architecture (possibly using CDM from Microsoft D365), data integration methods (ETL, API), enterprise MDM platforms, and data quality tools Experience with MDM platforms (e.g., Informatica, Reltio, New Data Lake tools etc.). Excellent project management, communication, and stakeholder engagement skills. Proven ability to lead cross-functional teams and drive enterprise-wide initiatives. Preferred Skills Experience in a regulated industry (e.g., healthcare, finance, manufacturing). Familiarity with data privacy regulations (e.g., GDPR, CCPA). Certification in data management or governance (e.g., CDMP, DGSP). Why Join Bio-Techne: We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield. We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA. We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more. We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging. We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave. We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table. Bio-Techne is an E-Verify Employer in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: We are seeking a talented senior level data reporting engineer who will support Austin Business Intelligence, business management reporting, and the Prudential data integration projects. This role involves collaboration with product teams, data engineering, and business intelligence to effectively prepare and cleanse data for data visualization. Responsibilities: Develop comprehensive technical and business requirements using advanced diagnostic and prognostic problem-solving methodologies. Collaborate with business leaders to define KPIs, reporting needs, and data-driven solutions aligned with strategic goals. Design and optimize complex SQL queries to extract, transform, and analyze data, ensuring alignment with business objectives. Lead deployment, configuration, patching, and upgrades of Tableau Server and Tableau Cloud environments, ensuring seamless integration with enterprise data sources. Maintain high availability and performance of Tableau Server infrastructure, implementing proactive monitoring and disaster recovery strategies. Enforce robust security controls to protect sensitive data within AWS, DBT workflows and across the data pipeline. Gather, cleanse, and analyze large datasets to uncover trends, patterns, and actionable business insights. Embedded AI-powered insights into Tableau dashboards, enabling real-time forecasting, sentiment analysis, and intelligent alerting. Ensure data accuracy and integrity through rigorous validation processes across the software development lifecycle (SDLC). Deliver clear, actionable insights through query and reporting analysis, effectively communicating findings to stakeholders and development teams. Foster strong relationships with business partners, product management, and technical teams to drive alignment and innovation. Regularly prepare and present project status, risks, and outcomes to senior leadership and stakeholders. What are we looking for? We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. Requirements: Cloud Platforms: AWS (S3, Redshift, Lambda, Glue, EC2, IAM) Data Warehousing & Modeling: Snowflake, DBT, SQL, PostGreSQL Data Transformation & Automation: Tableau Desktop, Alteryx Designer, Python Business Intelligence: Tableau Server & Tableau Cloud, KPI Dashboards, Embedded Analytics AI & Machine Learning: Pulse, Copilot, Cortex,Python (scikit-learn, pandas) Data Governance & Security: Role-based access, encryption, compliance Leadership & Collaboration: Agile methodologies, stakeholder engagement, cross-functional team leadership Core Competencies: Strong analytical and problem-solving skills Ability to effectively communicate with business users technical and non technical Bachelor's degree in computer science, or a related field Adaptable individual capable of multitasking and prioritizing workload in a fast-paced, occasionally high-pressure environment Ability to thrive in a collaborative environment that builds and fosters business partnerships Technical Competencies: 5-6 years with Tableau administration (access, security) along with Tableau development Experience with Tableau Cloud Advanced SQL skills Experience with Snowflake and AWS strongly preferred #LI-Hybrid Pay Range: $99,375-$165,625/year 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

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $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

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: Crusoe is seeking an Inventory Controls Specialist to manage the full lifecycle of hardware assets-from receiving and auditing to deployment and decommissioning-across our AI-optimized data centers. This role ensures accurate inventory tracking, enables efficient server builds, and supports day-to-day operations with a high degree of precision and process adherence. What You'll Be Working On: Track and maintain inventory of hardware assets (servers, GPUs, networking gear) using asset management tools and best practices Receive and audit incoming shipments; verify equipment and report discrepancies or damage Manage the lifecycle of all hardware from staging and testing through deployment and decommissioning Monitor and replenish critical spare parts inventory to support timely repairs and build readiness Coordinate inter-site shipments and vendor returns, ensuring correct labeling, documentation, and tracking Manage Return Merchandise Authorization (RMA) process, including ticketing and vendor communication Collaborate with deployment technicians and data center staff to support active operations Document inventory-related standard operating procedures (SOPs) and contribute to process improvements Lift and move equipment up to 50 lbs in a data center environment Must be able to pass a background check. What You'll Bring to the Team: 3+ years of experience in inventory control, logistics, or asset management, ideally in a data center environment Familiarity with server, GPU, and networking hardware Experience using inventory systems, barcoding, and tracking tools Strong organizational skills and attention to detail Associate's degree or equivalent experience in IT, logistics, or supply chain Excellent communication skills and ability to follow established procedures Bonus Points: Experience with liquid-cooled infrastructure Scripting or automation knowledge (Python, Bash) Background in high-performance computing (HPC) environments Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of up to $73,000 - $81,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Insights Delivery at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to outcomes. The Data Analyst 2 role on the Insights Delivery - Customer team is responsible for collecting, analyzing and presenting data to improve decision making around the customer digital experience. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data. They should be able to communicate those insights in a way that builds confidence and enables decisions that drive business value. The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data and the desire to communicate those insights in a way that drives positive business outcomes. We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We're an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data, and technology excites you, join our world-class insights delivery team! A day in the life… Partner with key stakeholders to define success and develop measurement frameworks. Dive deep into complex business problems and provide insights on business vertical performance through hypothesis testing. Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations. Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain. Own the definition and implementation of new metrics. Find opportunities to use data to develop new strategies and improve overall performance. Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes. Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise. Reconcile divergent demands from multiple stakeholders in a fast-paced work environment. Mentor more junior team members on analytics, storytelling and communication best practices. Use advanced analytical and statistical practices to create thorough and actionable insights. Collect data to analyze, execute and measure the customer analysis, marketing campaigns, merchandise and digital experience analysis. Actively collaborate to apply learning to other channels/campaigns/products/business units. You own this if you have… Bachelor's degree in marketing, statistics, math, economics or related quantitative discipline or relevant work experience. 2+ years of professional experience analyzing data, drawing conclusions and making recommendations. 2+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (BigQuery preferred). Coding skills preferred in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data. Experience with statistical and machine learning algorithms to address a business question from analysis through insights delivery (e.g. regression, classification and/or clustering). Strong proficiency with advanced graphics/visualization software (e.g. Tableau, Looker preferred). Clear and effective written/verbal communication and strong interpersonal skills. Ability to develop strong, synergistic relationships with a multitude of teams and personnel Strong problem-solving skills: Can complete ambiguous projects independently Plan out the priority order of tasks Find the right resources to complete the tasks Define and articulate decisions regarding trade-offs to leadership #LI-EB1 We've got you covered… Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. Nordstrom conducts background checks and considers qualified applicants with criminal histories in a manner consistent with all legal requirements. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines. 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $87,500.00 - $145,500.00 Annual This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_16.pdf

Position Summary The Planning and Master Data Specialist is responsible for ensuring accurate product master data and supporting effective production planning processes to optimize service, quality, and efficiency across the organization. This role combines responsibilities for creating and maintaining product master data (BOMs, routings, and related records) with planning and scheduling activities that drive operational performance and support customer needs. The position will collaborate closely with business process owners, supply chain, operations, and cross-functional teams to ensure data accuracy, efficient planning, and seamless execution of product launches and projects. Essential Duties & Responsibilities Master Data Management Create, validate, and maintain product master data records (BOMs, routings, item masters) in ERP and related systems (SAP, PIM, DAM, MDM/Data Quality). Process and distribute new material and data record requests, ensuring compliance with established standards. Ensure accuracy, timeliness, and efficiency of master data to support business processes and customer experience. Identify and implement process improvements and system enhancements to strengthen data integrity and usability. Support ad hoc projects requiring mass data creation or modification. Monitor data quality, identify errors or inconsistencies, and take corrective actions. Planning & Scheduling: Develop, maintain, and execute short- and long-term production plans to meet demand, inventory, and service level objectives. Analyze demand, supply, and capacity requirements to optimize scheduling and resource allocation. Collaborate with manufacturing, procurement, logistics, and customer service to ensure alignment on plans and priorities. Adjust schedules to address changes in demand, supply disruptions, or operational constraints while minimizing impacts on service. Provide visibility into production schedules, material availability, and potential risks to stakeholders. Support new product introductions and product transitions by aligning planning activities with accurate master data. Cross-Functional & Project Support: Partner with cross-functional teams on product launches, system updates, and process improvements. Contribute to system testing, report development, and tool enhancements to support both planning and data management functions. Assist in identifying opportunities for efficiency, cost reduction, and improved service levels. Requirements Associate's degree in Business Analytics, Supply Chain Management, Logistics, or a related field; Bachelor's degree preferred. 2+ years of experience in ERP master data management (SAP strongly preferred) and/or production planning/scheduling. Strong analytical and problem-solving skills with high attention to detail and accuracy. Demonstrated ability to manage multiple priorities in a fast-paced environment. Proficiency in Microsoft Excel and Office Suite; experience with databases, SharePoint, or workflow systems a plus. Effective communicator with strong collaboration skills and customer focus. Ability to adapt to changing business needs, system enhancements, and project requirements. What We Offer A commitment that Safety is #1 Competitive benefits, pay, and retirement plan options! Career growth, stability, and flexible work arrangements. Responsible Manufacturing - Protecting Our Planet for the Future We utilize renewable energy and a closed loop recycled water process. We are committed to reducing greenhouse emissions and water consumption. We are the only flooring company recognized by the Asthma and Allergy foundation. Who we are: With a history of 140 years, Tarkett is a worldwide leader in innovative flooring and sport surface solutions with 12,000 employees and 34 industrial sites. Offering a wide range of products including vinyl, linoleum, rubber, carpet, wood, laminate, artificial turf, and athletic tracks. The Group serves customers in more than 100 countries across the globe. Committed to change the game with circular economy and to reducing its carbon footprint, the Group has implemented an eco-innovation strategy based on Cradle to Cradle principles, fully aligned with its Tarkett Human-Conscious Design approach. Tarkett is listed on Euronext (Compartment B, ISIN FR0004188670, ticker: TKTT). www.tarkett-group.com Tarkett is an equal opportunity employer. We value diversity in backgrounds and in experiences and promote an inclusive workplace where all employees can perform at their best.

About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Get ready to unleash your potential as a Data Collections Supervisor at Monster Energy! In this electrifying role, you'll dive into data analysis, turbocharge the Data Management team, and fuel our growth with your insights. Master our reporting and data systems, and power through with recommendations that drive decision-making to the next level. Collaborate with our dynamic departments and leadership, championing both existing and new business initiatives. Embrace the thrill of innovation and make a real impact in our fast-paced, high-energy environment! The impact you'll make: Develop team's data expertise by imparting knowledge, learning techniques, resourcefulness and provide appropriate documentation and training as needed. Identify, research, and communicate data related issues to the appropriate parties for resolution and coordinates all status reporting to follow management guidelines. Participate in team meetings and make recommendations to improve methodology, inputs, and compliance with policies to ensure accuracy of reporting. Serve as primary subject matter expert to effectively consult with varying sales teams and distributor partners. Assist with creating or improving processes to retrieve data from various internal and external sources. Maintain a broad understanding of overall organizational structure, routines, data reporting architecture to route customer inquiries to correct team or contact by applying knowledge of roles within hierarchy. Monitor day-to-day operations of department. Oversee Data Management Helpdesk Inbox daily; ensuring all inquiries and ad-hoc requests are resolved within a 48-hour window. Formulate and implement new techniques for data collection to ensure adequacy, accuracy and legitimacy of data. Use large sets of data to identify and resolve issues before they have an adverse effect. Oversee the end-to-end processes for Daily/Weekly/Monthly audits and Quarterly/Yearly Volume Audits; to include making recommendation on process improvements. Supervise the completion of shipments balance between all systems such as: VIP iDIG, SAP, BI Reporting, and Salient. Who you are: Prefer a Bachelor's Degree in the field of -- Statistics, Business, Data Analytics or related field of study Additional Experience Desired: Between 1-3 years of experience in data management and analysis Additional Experience Desired: Between 1-3 years of experience in management, people leadership building high performing teams Computer Skills Desired: Proficient in MS Office with highly developed skills in Excel. Proficiency in using spreadsheets to arrange, manipulate, format, and prepare large amounts of information. Preferred Certifications: N/A Additional Knowledge or Skills to be Successful in this role: N/A Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $68,640 - $78,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

Description If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought leader in data warehousing and love building teams and mentoring talent, this role is for you. You will be responsible for leading delivery of the Production Support team within the Enterprise Data Warehouse, including both onshore and offshore support. You will partner with other IT and Business organizations to ensure quality and timely data is loaded into the data warehouse. Key Responsibilities Manage onshore and offshore production support team. Support incident resolution and continuous improvement to drive efficiency in our operations. Responsible for performance and maintenance of L1 and L2 rotations, point of escalation for priority incidents. Ensure that all assigned production support issues are properly logged, prioritized and resolved. Effectively communicate and turnover incidents when appropriate to delivery teams for level 2 support. Ensure that all assigned business-as-usual (BAU) tasks are properly scheduled, staffed and completed. Coordinate with internal and external teams to perform DataStage production code migrations. Facilitate production support handovers with the build teams for newly developed jobs. Provide monthly operations report, tracking performance against key metrics. Represent operations in design reviews and architectural checkpoints. Monitor Huntington's production landscape to proactively address impactful changes and incident trends. Owner of vendor relationship with support's SOW provider Basic Qualifications Bachelor's degree or military experience in related field (preferably computer science). 5 years of experience leading teams through the project lifecycle. 3 years of experience in the financial services industry. Preferred Qualifications Understanding of enterprise data warehousing best practices including testing and validation approaches and implementation. Strong organization skills. Good communication and interpersonal skills for interacting and collaborating with developers, analysts, and business colleagues throughout the organization. Experience with traditional data architecture: sourcing and staging data, data integration, dimensional/snowflake and de-normalized design, managed views, data marts and analytical sandboxes. Experience with data governance and data management approaches, including data quality. Experience with business intelligence and advanced analytics: canned reporting, self-service insights, integrated data platforms, dashboarding, visualization, data science, machine learning. Experience with SQL, Python, DataStage, AWS and Snowflake. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Ministry Brands is looking for a Sr. Manager, Data Warehouse Engineering to join our growing team! Who we are Ministry Brands is a leading provider of SaaS operational management systems, payments platforms, digital engagement tools and background screening solutions for faith-based, non-profit and for-profit organizations. We serve more than 95,000 customers as a trusted partner in digital transformation and enablement - advancing missions, driving efficiencies, and building engaged communities for more than four decades. The diverse and real-world experiences of our team members serving their communities makes us stronger together and enhances our ability to advance digital transformation for the greater good. Ministry Brands is committed to acknowledging and valuing our employee differences and to creating an environment in which every individual's unique strengths and abilities are developed and valued. Our employees share in the responsibility for creating this environment and demonstrate mutual respect and acceptance in the workplace. We welcome everyone and are dedicated to creating a culture where all our employees have equal opportunity to be heard and reach their full potential. Available Location: Alpharetta, GA Hybrid Working: In this role, you will split your time between working at the designated company office in Alpharetta, GA for a minimum of 3 days per week and will work remotely from your home address up to 2 days per week. Any changes to these work locations must follow the appropriate process as outlined in our handbook. What You'll Do: As the Sr. Manager, Data Warehouse Engineering, you will be responsible for designing, managing and maintaining Azure/AWS data warehouse projects. Your role will also include managing a team of data analysts whose primary functions are to interact with the business to provide meaningful visualizations for statistical modeling, prediction and varying trend analysis. Key Responsibilities: Architect and Lead Implementation of Lakehouse Solutions: Design, build, and optimize scalable Lakehouse architectures on Azure with a focus on integrating data warehouse and data lake paradigms. Lead the implementation of end-to-end data pipelines leveraging Microsoft Data Factory (ADF) and Microsoft Fabric. Establish frameworks and best practices for data ingestion, transformation, and orchestration. Manage and Mentor Data Engineering Teams: Direct, coach, and develop a high-performing team of data engineers, and analysts. Foster a culture of knowledge sharing, continuous learning, and innovation within the team. Oversee resource planning, performance management, and skill development initiatives. Collaborate with Business and Technical Stakeholders: Engage with business leaders, data scientists, analysts, and IT teams to understand data requirements and translate them into technical solutions. Continuous Improvement and Innovation: Evaluate emerging technologies, tools, and frameworks within the Microsoft ecosystem (Databricks, Synapse, Azure Data Lake, Power BI, etc.). Identify and implement process improvements to optimize performance, reduce costs, and accelerate time-to-insight. Champion automation, CI/CD, and DevOps principles in data engineering workflows. Data Architecture and Engineering Excellence Translate complex business requirements into scalable data models and pipelines, leveraging Fabric's robust capabilities such as Dataflows, Pipelines, Notebooks, and Lakehouses. Define standards for data modeling, version control, and documentation across projects. Integrate on-premises and cloud-native data sources, ensuring seamless data movement and transformation. Who You Are: Passionate about data warehousing and engineering and enthusiastic about helping purpose driven organizations Bachelor's degree in Computer Science or related technical field, or equivalent practical experience (10+ years) 8+ years of experience in data engineering, data warehousing, or analytics, including at least 2 years in a leadership or managerial capacity 6+ years of experience modeling, querying and analyzing large datasets using SQL 6+ years ETL/ELT experience Strong background in Fabric and Azure development including PySpark Notebooks, T-SQL, C#, REST API Ingestion, and HTML Comfortable building, integrating, troubleshooting pipelines Self-starter who can roll up their sleeves and drive solutions independently Superior communication, leadership, and interpersonal abilities; able to bridge technical and business conversations Track record of mentoring and developing technical talent Azure, Microsoft Fabric, or other relevant certifications highly desirable Physical Considerations: Ability to work in a general office environment Ability to handle extended periods of computer-based work, including telephone Travel Considerations: Domestic and/or international travel required, estimated up to 5% Benefit offerings designed to promote a life of balance! At Ministry Brands, we recognize that your career is just one important piece of your dynamic life. We offer a robust range of benefit offerings designed to cultivate a lifestyle of balance and personal success. Robust healthcare options- Options include a plan that is 100% covered by Ministry Brands for employee only coverage as well as a generous HSA contribution by the company. Employees have several healthcare options to choose from in order to find what works best for them. Flexible paid time off- There is no perfect, one size fits all balance between work and home. We provide flexible work schedules, PTO for vacation, and up to 80 hours of paid sick/safe leave. We also feature 11.5 days of fully paid holidays! Paid parental leave- Adding a new child to the family is a big adjustment! We provide the time and income to allow parents to adjust to their new normal in the healthiest way possible. Mental health support- Ministry Brands is a stigma free company with the National Alliance on Mental Illness. Associates are supported through an Employee Assistance Program which provides access to in-person or virtual counseling at no cost. Professional development reimbursement- Ministry Brands aims to support your professional development and empower you to drive your career by providing financial assistance to our associates seeking to further their education and career. Employee Recognition & Rewards- At Ministry Brands, we use Nectar to celebrate achievements and strengthen our culture of recognition. This social platform empowers employees to send meaningful kudos, award points redeemable for rewards, and highlight contributions that exemplify our values. Through Nectar, we foster engagement and appreciation while providing tangible ways to recognize great work. Ministry Brands is proud to be an Equal Employment Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristic

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role WEX is building a modern, enterprise-wide Data-as-a-Service (DaaS) platform-and at its heart lies the Semantic Data Modeling layer. This layer transforms raw data into trusted, consistent, and reusable 360° data objects that power analytics, automation, and product experiences across domains. As a Senior Staff Software Engineer, you will lead the design and engineering of large-scale semantic data models that represent key business entities like Customer 360, Fleet 360, and Benefits 360. You'll architect systems that enforce data standardization, business logic, and semantic alignment-delivering high-performance, versioned, and auditable data assets to stakeholders across the enterprise. This is more than data modeling-this is about building the shared language of the business. You'll help define and scale the core data objects that every team at WEX will rely on. If you're motivated by systems-level thinking, technical rigor, and semantic clarity, this is your role. This is a high-impact, cross-cutting engineering role that demands deep system thinking, platform mindset, and an ability to influence technical direction at scale. How you'll make an impact Architect and implement the platform foundations for semantic data modeling, including reusable modeling patterns, data versioning, and temporal semantics. Translate complex business definitions into scalable, interpretable, and trustworthy data entities used across analytics, AI/ML, APIs, and operational workflows. Own the modeling of high-volume, high-complexity domains-such as customers, fleets, transactions, and providers-at enterprise scale. Drive rigorous enforcement of data validation, referential integrity, and schema evolution, enabling semantic consistency across domains. Collaborate closely with business, product, and analytics teams to ensure semantic models reflect how WEX understands and uses its data. Define best practices for building modular, testable, and maintainable pipelines, and lead their implementation across a growing team. Guide platform evolution by partnering with Control Plane, Governance, and DataOps teams to embed observability, lineage, and traceability. Experience you'll bring 10+ years of experience in software or data engineering, with a focus on large-scale systems and data modeling platforms. Expertise in data architecture and semantic modeling-with proven experience in designing entity-centric, reusable models (e.g., Customer 360, Provider 360). Deep understanding of data structures, transformation patterns, temporal modeling, and business logic abstraction. Strong software engineering background with experience in building scalable systems using modern architectural patterns. Experience with data lifecycle management, including versioning, auditability, and reproducibility of derived data objects. Excellent communication skills and a track record of cross-functional leadership across engineering, product, and business stakeholders. A passion for building platforms that promote trust, consistency, and scalability in enterprise data usage. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $158,000.00 - $210,000.00

Application Deadline: 10/23/2025 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations. Broader work or accountabilities may be assigned as needed. Qualifications: Foundational level of proficiency: Deep learning. Machine learning. Trust, bias and ethics. Creative thinking. Critical thinking. Intermediate level of proficiency: Mathematics, statistics & operations research. Big data. Data visualization. Computational thinking and programming. Data wrangling. Data preprocessing. Complex problem solving. Analytical acumen. Creative reasoning. Verbal & written communication skills. Collaboration & team skills. Analytical and problem solving skills. Influence skills. Data driven decision making. Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. Technical proficiency gained through education and/or business experience. Salary: $69,000.00 - $127,800.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at http://jobs.bmo.com/us/en BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Data Services Engineer at Reliable Robotics, you will architect, design, and implement software to support the development, simulation, test, certification, and operation of complex automated systems for aircraft. Your software will enable engineers and analysts to efficiently and effectively draw conclusions from test & evaluation data, accelerating the product design life cycle. Responsibilities Design and implement test & evaluation data processing pipeline, data storage, and data retrieval services Deploying and managing self-service data visualization and business intelligence platforms (e.g., Grafana, Metabase, Tableau, Jupyter Notebooks) Collaborate with stakeholders to develop the vision, strategy, and roadmap for company-wide data services and governance Provide consultation to engineering teams, driving adoption and fostering data literacy through hands-on guidance, expert training, and clear documentation Balance the company needs of long-term data retention, ease of data use, low latency of access to new data, reliability of data analysis, and cost awareness Basic Success Criteria Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related field 5+ years of experience with test & evaluation and/or statistical analysis data pipelines 3+ years experience in Python, Go (Golang), and Linux-based development environments and scripting development environments Professional experience with developing timeseries, relational, and NoSQL databases technologies Professional experience with version control, CI/CD, and software testing frameworks Preferred Success Criteria Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker Professional experience with product ownership and roadmapping Demonstrated ability to work in a self-directed manner in a fast-paced environment Strong presentation, synthesis, and storytelling skills Employees working at our Mountain View, CA headquarters can expect little to no travel. The estimated salary range for this position is $185,000 to $230,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co

At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. The Data Engineering Platform team is responsible for building the foundational data systems that power Collective Health's operations and insights. Our team enables reliable, governed, and scalable data flows that support analytics, data science, and external reporting across the company. The Data Ingestion & Modeling team focuses specifically on transforming raw data into robust, trusted data warehouse models that serve as the single source of truth for downstream use. As a Staff Data Engineer, you'll lead the technical strategy and execution for the ingestion and modeling layer of our data platform. You will work hands-on to design, build, and optimize data pipelines and dimensional models, while also setting technical direction and mentoring a small team of 2-4 data engineers. This is a key technical leadership role-not a people management role-that will shape how we transform raw data into clean, analytics-ready datasets. You'll report to the Director of Data Engineering Platforms and work closely with peers across analytics, product, and operations to deliver data solutions that matter. What you'll do: Lead technical design and implementation of ingestion and transformation pipelines from various source systems into our centralized data warehouse. Develop, maintain, and evolve dimensional models (facts and dimensions) to support analytics, reporting, and data science. Partner with data analysts, product managers, and domain experts to ensure models are aligned with business needs and definitions. Review code, mentor teammates, and raise the bar on engineering quality and operational reliability. Own and improve the team's ELT workflows, including orchestration, testing, observability, and CI/CD practices. Drive consistency and reuse across domains through shared data modeling patterns, frameworks, and tools. Help prioritize technical debt and contribute to long-term architecture decisions in collaboration with other data platform leads. To be successful in this role, you'll need: 12+ years of experience as a data engineer or analytics engineer, with deep experience designing and building data warehouse models. Expertise in modern ELT pipelines, data modeling (especially dimensional models), and warehouse technologies like Snowflake, Databricks, or BigQuery. Strong proficiency in SQL and at least one programming language (e.g., Python or Scala). Experience working with orchestration tools such as Airflow or DBT to manage pipeline workflows. A strong sense of data governance, data quality, and testing best practices. A collaborative mindset with the ability to influence and guide peers through technical leadership, not management. Experience in healthcare or other regulated data environments is a plus, but not required. Pay Transparency Statement This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.#LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/ . San Francisco, CA Pay Range $194,670-$243,500 USD Lehi, UT Pay Range $155,500-$194,000 USD Plano, TX Pay Range $171,000-$213,500 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/ .

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, empowering teams to learn quickly and make confident decisions. The team's work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood. As a Data Scientist on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products. This role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making. Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. Assist with established methods, standard approaches, and promote a data-informed culture within the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master's degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000-$220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000-$194,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000-$172,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.