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Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: Drive Excellence in Managed Account Data at Caterpillar. Are you passionate about leading teams and shaping the future of data management? Do you possess expert knowledge in the stewardship, integrity, and governance of managed account data? Join our dynamic team at Caterpillar as a Lead Data Specialist, where you'll play a pivotal role in maintaining and optimizing managed account data within the Customer Master system to support our strategic business growth. The Lead Data Specialist for Managed Account Data is responsible for overseeing the quality and completeness of managed account information within Customer Master. This role will guide initiatives to ensure that Caterpillar's managed accounts are accurately represented in Helios, gather the voice of the business with respect to data needs, and work closely with Data Product Owners to deliver on those needs. What You Will Do: Lead the stewardship and management of managed account data in Customer Master, ensuring Dealer and Caterpillar Managed Accounts data is accurate, aligned, and visible through dashboards Oversee customer data change requests from managed account teams, collaborating with technical teams for bulk requests, ensuring requirements fulfilled efficiently. Champion and uphold data quality and governance standards. Collaborate with Industry Managed Account teams to develop business requirements for additional Data Product features that support managed account data and processes Partner with the analytics team to proactively identify data issues and corrective actions Effectively communicate with business partners and dealers on data and process improvements Minimal travel required (less than 15% working time) What You Will Have: Value Realization: Basic knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case. Modeling: Data, Process, Events, Objects: Working knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events. Communicating Complex Concepts: Working knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience. Information Management: Extensive knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency. Agile Development: Working knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications. Considerations for Top Candidates: Extensive experience in data management (typically 5-7+ years) Typically a college or university degree or 9 to 12 years of experience Previous experience with Snowflake and Microsoft Excel Existing knowledge of Managed Accounts and processes Experience in managing data & data governance Strong organization and analytical skills Ability to work and communicate effectively in a complex, rapidly changing, and culturally diverse environment. Strong process management skills to understand incoming data feeds and requests while also understanding the use/impact in user applications Additional Information: This position will have the option to be based out of our Chicago, IL; Peoria, IL or Irving, TX offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $112,710.00 - $169,060.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers. Posting Dates: February 12, 2026 - February 22, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Internal title: Associate Director, Psychometric Operations & Data Science External Posting Role Title: Applied Data Scientist / Assessment Data Scientist College Board - Global Strategy and Talent, College Board LATAM Location: San Juan, Puerto Rico. This is a hybrid role and requires the candidate to be on-site at CB offices every Tuesday and Wednesday. Role Type: This is a full-time position. About the Team The Latin America Office at the College Board is dedicated to expanding educational opportunities and improving student outcomes across the region. Embedded within the Research and Development (R&D) division, the Research & Measurement (R&M) team is dedicated to ensuring that our assessments are scientifically sound, evidence-based, and aligned with our mission. We work at the intersection of psychometrics, data science, and applied research, guiding how our assessments are designed, scored, and continuously improved. Our team ensures that research and measurement practices are transparent, defensible, and grounded in robust methodological standards. R&M also collaborates with internal and external stakeholders to generate insights that advance the region's educational goals, promote equitable test use, and strengthen the link between assessment results and educational outcomes. Together with colleagues in Technology, Assessment Operations, and Market Development, we are building the data systems and analytic capabilities that will power the next generation of digital, research-informed assessments across Latin America. About the Opportunity The (Applied Data Scientist / Assessment Data Scientist), internally known as, Associate Director, Psychometric Operations & Data Science, plays a hands-on role in strengthening the accuracy, efficiency, and innovation of CB-LATAM's psychometric and operational data workflows. You will design and maintain automated data pipelines that enable scoring, scaling, and reporting processes to run smoothly and reproducibly. You will also perform item calibration, statistical analysis, and quality control to support scoring operations and ensure that the item bank remains current, valid, and reliable. By improving data workflows and implementing analytics-driven solutions, you will help modernize psychometric operations and embed quality controls throughout the data lifecycle. Beyond R&M, you will also serve as CB-LATAM's data governor-understanding what comes in and what goes out, where it's stored, how long it's stored, and what it's used for. You will act as an owner of the architecture of our data, ensuring its integrity, accessibility, and compliance with internal policies and professional standards. Working in close partnership with Psychometricians, R&D staff, and Technology teams, you will apply advanced statistical and programming skills to streamline complex workflows, automate recurring processes, and transform data into actionable insights. This role is ideal for a technically skilled and analytically curious professional who wants to contribute directly to evidence-based innovation in educational measurement, while ensuring that CB-LATAM's data systems are accurate, policy-compliant, and future-ready. In this role, you will: Psychometric Operations (40%) Support scoring operations through quality assurance routines, data validation, and review of scoring keys, parameters, and distributions. Maintain and update the item bank database, ensuring data accuracy, version control, and metadata integrity. Execute item calibrations and test-level analyses using classical test theory (CTT) and item response theory (IRT) models. Conduct statistical and psychometric analyses for pretests, operational forms, and field test data. Collaborate with Psychometricians to ensure operational equating and scaling are performed with precision and consistency. Data Operations, Automation & Governance (35%) Serve as CB-LATAM data governor: overseeing data flow, architecture, and lifecycle management across psychometric and operational systems. Ensure that all data systems comply with College Board governance policies, professional testing standards, and privacy requirements. Monitor data inflow/outflow and document data usage, ensuring transparency and ethical stewardship. Implement reproducible scripts and validation routines (in R or Python) to standardize workflows. Build, maintain, and automate data pipelines for scoring, equating, and reporting. Contribute to research documentation, technical reports, and internal publications summarizing results and innovations. Applied Data Science & Analytics (25%) Develop dashboards and visualizations that summarize psychometric and operational indicators. Identify opportunities to automate repetitive processes, reduce manual dependencies, and strengthen quality assurance. Apply AI and machine learning techniques to detect data anomalies and enhance workflow efficiency. Partner with Psychometricians, Technology, and R&D staff to deploy analytic solutions into production environments and improve system interoperability and reporting efficiency. About You: Master's degree in Statistics, Data Science, Psychometrics, or related field. 5-8 years of experience in data analytics, psychometric operations, or applied quantitative research. Proficiency in R, Python, SQL, and data visualization tools (Tableau, Power BI). Working knowledge of IRT and CTT models, scaling, and equating procedures. High attention to data quality, compliance, and ethical standards and the ability to dissect complex data problems, troubleshoot issues, and craft actionable solutions. Experience leveraging data insights to influence both operational and strategic decisions. Skilled in automation, analytical rigor, programming proficiency and reproducible workflow design. Ability to travel 1-2 times a year to College Board offices or on behalf of College Board business. Bilingual proficiency in Spanish and English. This position primarily involves sedentary work performed at a computer. The role requires the ability to sit or stand for extended periods, communicate effectively, and operate standard office equipment. All roles at College Board require: A passion for expanding educational and career opportunities and mission-driven work Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively. Clear and concise communication skills, written and verbal A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input. A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking. A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success Authorization to work in the United States About Our Process Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days. While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks. What We Offer At College Board, we offer more than a paycheck- we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation grounded in your qualifications, experience, impact, and the market. A Thoughtful Approach to Compensation The hiring range for this role is $45,000 -$61,000. Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board. We aim to make our best offer upfront, rooted in fairness, transparency, and market data. We adjust salaries by location to ensure fairness, no matter where you live. You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more. #LI-LATAM #LI-MD1

Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're pioneers in cloud and AI who deliver magical experiences that make our customers' lives easier. We're revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps-enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity; however, you can find out more about our locations by visiting our website. Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. This role will be primarily focused on building data assets and analytics solutions for the revenue organization. As a Staff Data Scientist, you'll have the unique, challenging, and rewarding opportunity to be responsible for using the latest developments in statistics and machine learning. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build accurate and reliable Machine Learning models for use throughout the organization. You'll be able to create and own greenfield opportunities to make big positive impacts on the revenue organization. You'll have the chance to own the data science technology of one or more critical initiatives core business domains, from collaborating with stakeholders, through the full model development lifecycle. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you will be doing: Provide subject matter expertise and ownership of one or more foundational models involving measurement, forecasting, or optimization of our content Establish and lead best practices, setting the example for the team Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior Provide customized views of large and complex datasets to support data analysis and business decision-making Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance Harden data pipelines and models for production deployment and monitoring of performance over time as required Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta's suite of data to answer domain specific business questions through advanced analytic techniques Provide mentoring and education to this team and other teams across the company Embrace and uphold Ibotta's Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: 7+ years of experience making significant positive impacts in a professional data science or machine learning role Bachelor's degree in Computer Science, Engineering, Analytics or a related field required A history of and passion for driving important decisions using data and data storytelling A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms Expert-level Python knowledge, skills, and abilities. Spark/PySpark and MLOps experience is a strong plus Excellent statistical analysis skills, with a solid understanding of experimental design About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. Additional Details: This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. Base compensation range: $152,000 - $175,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. Applicants are accepted until the position is filled. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Hybrid #BI-Hybrid

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: Drive Excellence in Managed Account Data at Caterpillar. Are you passionate about leading teams and shaping the future of data management? Do you possess expert knowledge in the stewardship, integrity, and governance of managed account data? Join our dynamic team at Caterpillar as a Lead Data Specialist, where you'll play a pivotal role in maintaining and optimizing managed account data within the Customer Master system to support our strategic business growth. The Lead Data Specialist for Managed Account Data is responsible for overseeing the quality and completeness of managed account information within Customer Master. This role will guide initiatives to ensure that Caterpillar's managed accounts are accurately represented in Helios, gather the voice of the business with respect to data needs, and work closely with Data Product Owners to deliver on those needs. What You Will Do: Lead the stewardship and management of managed account data in Customer Master, ensuring Dealer and Caterpillar Managed Accounts data is accurate, aligned, and visible through dashboards Oversee customer data change requests from managed account teams, collaborating with technical teams for bulk requests, ensuring requirements fulfilled efficiently. Champion and uphold data quality and governance standards. Collaborate with Industry Managed Account teams to develop business requirements for additional Data Product features that support managed account data and processes Partner with the analytics team to proactively identify data issues and corrective actions Effectively communicate with business partners and dealers on data and process improvements Minimal travel required (less than 15% working time) What You Will Have: Value Realization: Basic knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case. Modeling: Data, Process, Events, Objects: Working knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events. Communicating Complex Concepts: Working knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience. Information Management: Extensive knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency. Agile Development: Working knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications. Considerations for Top Candidates: Extensive experience in data management (typically 5-7+ years) Typically a college or university degree or 9 to 12 years of experience Previous experience with Snowflake and Microsoft Excel Existing knowledge of Managed Accounts and processes Experience in managing data & data governance Strong organization and analytical skills Ability to work and communicate effectively in a complex, rapidly changing, and culturally diverse environment. Strong process management skills to understand incoming data feeds and requests while also understanding the use/impact in user applications Additional Information: This position will have the option to be based out of our Chicago, IL; Peoria, IL or Irving, TX offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $112,710.00 - $169,060.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers. Posting Dates: February 12, 2026 - February 22, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Who We Are At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You'll Work With You will be working with Head of Data Management & Strategy. About the Role The Data Governance Analyst is a foundational member of the Corebridge Data Office, supporting the Data Governance Lead and the broader governance program. This role will help design, implement, and monitor governance processes that ensure trusted, high-quality data across the enterprise. The analyst will work closely with business and technology teams, helping to document standards, track governance activities, and monitor adherence to policies and controls. Responsibilities Support data classification and data protection capabilities, including policy and standards documentation, control implementation tracking, and driving awareness and adoption in partnership with business, security, and data stewardship teams. Support enterprise data governance activities: assist with implementing policies, standards, and data classification frameworks. Partner with data stewards and business SMEs to build an enterprise data domain taxonomy, capture data definitions, lineage, and ownership details. Assist in monitoring data quality: track Critical Data Elements (CDEs), log issues, and document remediation actions. Provide reporting and metrics for governance forums, including the Data Governance Committee. Maintain inventories of metadata, policies, and stewardship assignments. Contribute to culture and awareness: support training, data literacy initiatives, and internal communications. Skills and Qualifications Bachelor's degree in Business, Information Systems, Data Management, or related field. 3+ years of relevant experience in data management, governance, analytics, or operations. Familiarity with data catalog, metadata, or data quality tools (experience in financial services a plus). Strong organizational, documentation, and reporting skills. Analytical mindset with ability to support problem-solving and process improvements. • Excellent communication and collaboration skills; comfortable working across business and technology. Compensation The anticipated salary range for this position is $65,000 to $91,000 at the commencement of employment. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications. Work Location This position is based in Corebridge Financial's Jersey City, NJ and Houston, TX office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Estimated Travel May include up to 25%. Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com. Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: DT - Data Estimated Travel Percentage (%): Up to 25% Relocation Provided: No American General Life Insurance Company

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role We are looking for a Staff Data Platform Engineer to shape the strategy, architecture, and execution of our next-generation data ecosystem. In this role, you will partner closely with our autonomy stack teams-the "customers" of our platform-to deeply understand their workflows, pain points, and evolving needs. You will lead the design and development of robust, scalable, and data-intensive distributed systems that power the full lifecycle of autonomous driving data: collection, ingestion, curation, machine learning training, and evaluation. You'll be a key decision-maker in defining best practices, data contracts, and integration patterns across upstream and downstream systems. This is a highly impactful role for someone who thrives at the intersection of technical leadership, system design, and cross-team collaboration, and who wants to elevate the capabilities of our data platform to support cutting-edge ML and autonomy development. At Applied Intuition, you will: Drive Data Platform Strategy- Define the long-term vision and technical roadmap for the data ecosystem, balancing scalability, reliability, cost efficiency, and developer experience Partner with Customers- Engage deeply with autonomy stack teams to gather requirements, uncover pain points, and translate them into platform capabilities Lead Complex Workflow Development- Architect and build end-to-end, large-scale ETL and data workflows for data collection, ingestion, transformation, and delivery Establish Data Contracts- Define and enforce clear SLAs and contracts with upstream data producers and downstream data consumers Set Best Practices- Champion data engineering best practices around governance, schema evolution, lineage, quality, and observability Mentor and Influence- Guide other engineers and teams on designing scalable data systems and making strategic technology choices Collaborate Across Functions- Work with infrastructure, ML platform, autonomy stack, and labeling teams to ensure smooth data flow and ecosystem integration We're looking for someone who has: 10+ years of experience in data engineering, distributed systems, or related backend engineering roles Proven track record of architecting and building large-scale, data-intensive, distributed systems Deep experience with complex ETL pipelines, data ingestion frameworks, and data processing engines (e.g., Spark, Flink, Airflow, Flyte, Kafka, etc) Strong understanding of data modeling, partitioning, schema evolution, and metadata management at scale Hands-on experience with cloud object stores (e.g., AWS S3), lakehouse architectures, and data warehouse technologies Ability to drive technical discussions with both engineers and non-technical stakeholders Strong communication and leadership skills, with the ability to influence across teams and functions Nice to have: Experience supporting ML/AI workflows at scale, from raw data ingestion to model training and evaluation Familiarity with data governance, lineage tracking, and observability tools Experience in autonomous systems, robotics, or other high-volume sensor data domains Contributions to open-source data infrastructure projects Why Join Us? You'll be at the heart of enabling autonomous driving innovation-building the systems that allow teams to harness massive amounts of real-world and simulated data for developing and validating our stack. You'll have the autonomy to set the technical direction, the opportunity to solve some of the hardest data engineering problems, and the ability to make a measurable impact on the success of our platform and products. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $180,000 - $225,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

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: This role bridges business strategy, data governance, and technology delivery, ensuring our advisor platform has accurate, governed, and high-quality participant and party data across systems. The ideal candidate combines product ownership expertise, data governance acumen, and technical literacy, enabling them to translate business needs into scalable, governed data solutions that power client and advisor experiences. Responsibilities: Own the vision, strategy, and roadmap for Participant/Party SOR capabilities and integrations across the advisor platform. Collaborate with business, data, and technology stakeholders to ensure alignment on goals, requirements, and governance principles. Serve as liaison to Commonwealth and future M&A integration teams for metadata documentation, data quality, and lineage validation. Write and manage epics, stories, and acceptance criteria in Jira, ensuring traceability between business and technical requirements. Define and maintain data governance standards, including quality rules, scorecards, and SOR documentation in Confluence. Oversee data profiling, lineage analysis, and validation to ensure integrity across source and target systems. Lead and mentor team members in agile practices, sprint planning, and continuous improvement. Monitor and communicate project progress, risks, and dependencies, driving resolution and stakeholder transparency. Advocate for customer-centric, data-driven decision-making and continuous improvement of data quality and usability. Requirements: Bachelor's degree in related field (advanced degree preferred). Minimum of 7 years in data-centric product ownership, data management, or governance roles within financial services or fintech. Minimum of 5 plus year experience with SQL, data modeling (star/snowflake), and data governance tools. Minimum of 5 plus years experience translating complex data concepts into business value and vice versa. 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. Preferred Skills: Experience with AWS, Snowflake, and data pipeline transformations. Background in wealth management or financial advisory services. Familiarity with API-based & Kafka integrations, and CRM data flows. Proficiency in Tableau, Power BI or other visualization tools. Proven ability to mentor team members and drive a culture of collaboration and governance excellence. Core Competencies Deep understanding of CRM party data architecture, data integration, and systems of record (SOR). Hands-on experience in agile delivery, Jira, and Confluence. Strong analytical, communication, and stakeholder management skills. Experience in Product Ownership, Analytical Thinking & Problem Solving, Communication & Leadership, and a Continuous Improvement Mindset Technical Acumen (SQL, Data Models, APIs) Pay Range: $109,270-$182,117/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) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. 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. For further information about LPL, please visit www.lpl.com. 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. EAC12.9.25

Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you'll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken's focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto! Employer: Payward Operations LLC (dba Kraken) Position: Senior Engineering Manager, Data Analytics - Data & AI Job Location: 1603 Capitol Ave, Suite 517B, Cheyenne, WY 82001 Duties: Drive decision making in building cutting-edge products. Transform large datasets from complex systems, generate actionable insights, and share the results with stakeholders at all levels of the company. Partner and lead projects with product management, engineering, client engagement, finance, and other enterprise level teams. Build out analytics and management report dashboards by collaborating closely with directors and cross functional teams to infuse analytics insights into major business priorities and enable data driven decisions. Partner closely with data engineering and enterprise systems team to define, plan, implement, and support the data infrastructure. Lead the definition of data requirements and controls to enable the integrity of the company's analytics and management reporting. Drive projects and initiatives for assessment of current data and process infrastructure to support team objects. Support data analysis and reporting requirements, building and maintaining knowledge repository and technical documentation libraries for data lake and reporting. Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track. Telecommuting / work from home is permitted. Minimum education and experience required: Master's degree or the equivalent in Computer Science, Management Information Systems, or a related field plus 8 years of experience in data analytics or related experience. Skills required: Must have experience with: Data pipelines, ETL/ELT, data warehousing, and orchestration tools; BI tools (Tableau, Looker or similar); Data platforms such as Snowflake, Big Query, Redshift; and observability and experiment platforms; Statistics experimentation (A/B testing), modeling techniques and casual inference; languages such as Python, SQL, Scala, or Java for data systems; Hiring a technical team, including providing feedback and mentoring for career growth; Translating business problems into technical plans; Driving strategy for data products and platforms, such as self-serve analytics; Balancing long-term tech investments with short-term business needs; Agile or hybrid methods tailored to analytics projects; Working with product and business leaders to define KPIs, dashboards, and success metrics for product performance; Aligning data strategy with company and product goals; and Driving data quality, engineering best practices, and scalable systems. Employer will accept any amount of experience with the required skills. Payward Operations LLC (dba Kraken) is an Equal Opportunity/Affirmative Action Employer. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

The Role: The Senior Data Engineer is responsible for building and maintaining scalable data ingestion infrastructure and operational systems. You focus on the "EL" portion of our ELT stack, collaborating closely with analytics engineers. You are an expert at building robust, configuration-driven systems and event-driven processes that handle large enterprise datasets. This role requires deep experience in incremental data migration from sources like RDS and DynamoDB into Snowflake using tools like Kinesis or Airbyte. You are comfortable with containerization and committed to building maintainable toolsets that the broader engineering team can utilize. What You'll be Doing: Developing and optimizing scalable data ingestion pipelines from platform sources (RDS, DynamoDB) into Snowflake. Building event-driven pipelines using Kinesis, Airbyte, or other open-source frameworks to handle high-volume healthcare data. Implementing and maintaining a staging-layer architecture that supports the broader medallion (staging → intermediate → marts) structure. Creating configuration-driven, containerized toolsets (Docker/Kubernetes) to ensure data solutions are portable and maintainable. Ensuring data reliability by building comprehensive monitoring, alerting, and automated testing for all ingestion processes. Collaborating with analytics engineers to streamline the flow of data for dbt transformation. Applying software engineering best practices, including modular design and test-driven development, to all data infrastructure. Refactoring existing ingestion processes to improve performance, cost-efficiency, and scalability. Mentoring mid-level and junior engineers through code reviews and sharing best practices in data operations. Who You Are and What You Bring: 4-6+ years of professional experience in data engineering with a focus on data ingestion and infrastructure. Proficiency in Python and SQL, with a track record of building production-grade data pipelines. Strong experience with ingestion tools such as Kinesis, Airbyte, Kafka, or similar frameworks. Hands-on experience with Snowflake and moving data from operational databases (RDS, DynamoDB) to cloud data warehouses. Solid understanding of AWS services (S3, Lambda, Step Functions, RDS). Experience with containerization (Docker) and deploying maintainable systems. Knowledge of ELT patterns, specifically supporting analytics engineering workflows and dbt. Experience with CDC (Change Data Capture) and incremental processing methodologies. Detail-oriented mindset regarding data privacy and compliance (HIPAA experience is a plus). Strong communication skills, with the ability to collaborate effectively across data science and engineering teams. Remote Work Requirements: An established private work area that ensures information privacy A stable high-speed internet connection for remote work This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. The posted range represents the expected salary for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $150,000-170,000/year. #LI- Remote

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as statisticians, researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other product teams and business units, applying the full scope of the company's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Business Unit: Insights - Health Data Science Team This team is the data subject matter expert within the Insights business unit. Their role is to support teams across the organization to bridge the gap between product and engineering. Assist with translating the high-level product vision from the product lead by: 1) Writing detailed logic/algorithm requirements 2) Building prototypes 3) Best practices consulting, and 4) User acceptance testing. This also involves data profiling, data investigation, root-cause analyses, etc. Duties and Responsibilities: Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; Serve as lead when working closely with Inovalon's Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company's data processes; Troubleshoot complex production-related issues and coordinate successful resolution; Assist with the evaluation of data analytic vendors and tools; Maintain compliance with Inovalon's policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and electronic medical records; Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, and Python; Demonstrated problem solving, analytical reasoning, and decision-making skills; Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex, and incomplete sources; Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; Ability to work under minimal supervision in a fast-paced multidisciplinary environment; Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; Superior customer service in the form of first-rate work product and project management; Strong ability to manage challenging client situations; Strong ability to troubleshoot and recommend solutions; and Strong ability to translate complex information for a wide range of clients. Education: Master's degree in computer science, data science, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience Physical Demands and Work Environment: Sedentary work (i.e. sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $113,000-$150,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW Data powers everything we do at CR—and it’s the foundation for our AI and machine learning efforts that are transforming how we serve consumers. The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment. If you’re passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR’s mission, this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We’re looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. As a Data Engineer ( AI/M & Data Science) you will: Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring. Build and optimize data processing workflows in Databricks , AWS SageMaker , or similar cloud platforms. Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference. Implement data quality, observability, and lineage tracking within the ML lifecycle. Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards. Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads. Ensure adherence to CR’s data governance, security, and compliance standards across all AI and data workflows. Work with Product, Engineering and other stakeholders to define project requirements and deliverables. Integrate data from multiple internal and external systems, including APIs, third-party datasets, and cloud storage. ABOUT YOU You’ll Be Highly Rated If: You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads. You have the education. You’ve earned a Bachelor’s degree in Computer Science, Engineering, or a related field. You have programming skills. You are skilled in Python , SQL , and have experience with Py Spark on large-scale datasets. You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery. You have experience with Data and AI/ML platforms such as Databricks , AWS SageMaker or similar. You have experience working with Kubernetes on cloud platforms like - AWS , GCP , or Azure . You'll Be One of Our Top Picks If: You are passionate about automation and continuous improvement. You have excellent documentation and technical communication skills. You are an analytical thinker with troubleshooting abilities. You are self-driven and proactive in solving infrastructure bottlenecks. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges NY/California: $120K-$140K annually DMV/Massachusetts: $115K-$135K annually Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week OR remote, if you're located in Boston or the San Francisco Bay Area. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities Works with team and manager to impact longer term strategies and roadmap Sets shorter term roadmap for team Interacts and collaborates closely with data and business counterparts across functional areas Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Qualifications 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries Travel Up to 5% This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week OR remote, if you're located in Boston or the San Francisco Bay Area. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities Works with team and manager to impact longer term strategies and roadmap Sets shorter term roadmap for team Interacts and collaborates closely with data and business counterparts across functional areas Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Qualifications 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries Travel Up to 5% This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely , the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services. Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool , Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, LinkedIn, YouTube, and Pinterest. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI. About this position: Later’s biggest opportunity in the creator economy is turning our unique, multi-source creator data into meaningful intelligence that drives better outcomes for brands, creators, and our internal teams. As Principal Product Manager, Data Product & Data Science , you will own the strategic data product roadmap that powers how creators are understood, evaluated, and matched to the right brand opportunities. This is a net-new, highly visible role reporting directly to the Chief Product Officer. You will operate at the intersection of product strategy, data engineering, data science, and go-to-market teams—shaping how raw data becomes trusted signals, differentiated insights, and defensible competitive advantage across Later’s platform, agency, and services offerings. What you'll be doing: Strategy Own and evolve the end-to-end creator data product strategy , spanning data acquisition, enrichment, modeling, quality, and insight generation. Define and maintain a long-term roadmap that improves the breadth, depth, freshness, and reliability of creator and audience data across all internal and external sources. Identify high-leverage data opportunities that unlock differentiation for Sales, Strategy, and Agency teams—turning data into a compelling narrative brands can buy into. Translate ambiguous business problems into clear data product bets, success metrics, and sequencing decisions. Technical/ Execution Partner closely with Data Engineering and Data Science to shape schemas, pipelines, models, and feature sets that support scalable data products. Drive improvements to creator-level data including (but not limited to): social content signals, audience attributes, campaign performance metrics, Link in Bio behavior, commerce outcomes, and historical brand partnerships. Define and track a Data Quality Score and related KPIs that quantify completeness, accuracy, timeliness, and usability. Work hands-on with datasets using SQL and analytics tools to validate assumptions, explore opportunities, and pressure-test solutions. Guide development of data-derived insights that improve brand–creator matching, campaign planning, and performance prediction. Team / Collaboration Serve as a trusted product partner to Strategy, Sales, Agency/Services, Search, Campaigns, Reporting & Analytics, and Platform Services teams. Align cross-functional stakeholders around shared definitions, priorities, and tradeoffs for data initiatives. Act as the connective tissue between technical teams and business leaders—ensuring data products are both technically sound and commercially meaningful. Influence without authority, using clarity, data, and strong product judgment to move teams forward. Leadership Set a high bar for data product thinking, rigor, and storytelling across the Product organization. Mentor other product managers on data literacy, experimentation, and outcome-oriented product discovery. Champion a culture of curiosity, accountability, and customer-driven decision-making. Research/Best Practices Stay ahead of emerging trends in data products, applied ML, creator analytics, and measurement. Continuously assess new data sources, modeling approaches, and tooling that could strengthen Later’s competitive position. Bring external best practices into the organization while adapting them to Later’s scale and business model. What success looks like: Measurable improvement in creator data quality, coverage, and freshness , reflected in a consistently rising Data Quality Score. Internal teams trust and actively use creator data to make decisions about matching, pricing, strategy, and campaign design. Brands see clearer differentiation in how Later helps them identify the right creators—not just popular ones—for their goals. Sales and Strategy teams are equipped with data-backed stories that elevate conversations from execution to insight. Product, Data Engineering, and Data Science teams operate with shared clarity on priorities, metrics, and outcomes. What you bring: 8+ years of product management experience, with meaningful ownership of data-heavy or platform-level products . Demonstrated experience building or scaling data products , not just dashboards—schemas, pipelines, signals, or models that power downstream use cases. Hands-on comfort with data tools and concepts (e.g., SQL, BigQuery, analytics workflows) and the ability to engage deeply in the details. Experience working alongside data science teams on algorithms, modeling, or applied ML—even if you were not the primary model builder. A proven ability to zoom out to the strategic narrative and zoom in to the weeds when necessary. Strong stakeholder management skills and a track record of influencing senior leaders in ambiguous environments. Nice to have: Experience at a data-first or analytics-driven company. Exposure to social platforms, creator economy products, advertising technology, or agency environments. Familiarity with programmatic advertising, marketplace dynamics, or matching/recommendation systems. How you work: Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear. Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights. Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement. Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high. Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth. Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity. Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range: $210,000 - 250,000 OTE #LI-Hybrid Where we work: We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. Diversity, inclusion, and accessibility: At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit . We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer . All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

In-Person round of interview mandatory. Tech Stack: Big Data, Spark, Python, SQL, GCP is must. Need a hardcore, heavy hitting Data Engineer who is extremely skilled and is able to function independently and manage their deliverables Capable of writing ETL pipelines using Python from scratch Expert in OOP principles and concepts Ability to independently write efficient and reusable code for ETL pipelines Expert in data modeling concepts such as schemas and entity relationships Expert at analyzing and developing queries in SQL in various dialects (SQL Server, DB2, Oracle) Familiarity with Airflow and understands how to develop DAGs Expert in data warehouses like BigQuery, Databricks Deltalakehouse and how to programmatically ingest, cleanse, govern and report data out of them Expertise in Spark. Powered by JazzHR

Position: Data Management Specialist-Data (Union)-REVISED Position code: 26-02 Position Location: Administrative Building Current Work hours: 40HRS/WK Compensation Range: $18.91/HR-$23.82/HR; Annualized: $39,342.10-$49,549.19 Position Dates: ASAP Supervisor: Chief Program Officer Date Position Posted: 10/20/2025, Revised: 11/14/2025 Internal Deadline: 10/27/2025 Revised: 11/20/2025 Requirements: Bachelor's degree in a related field from four-year College or University preferred. Experience in a combination of Quality, Training, and Audits and Plans of Corrections preferred. Two or more years working in Data Management and/or EMR systems required. Critical thinking, Excel and Pivot Table testing will be conducted. Testing Requirements: Critical Thinking, Excel and Pivot Table All internal and external job applicants are required to use UltiPro to apply for this position. Please see the Sanilac County CMH website at www.sanilaccmh.org and click on “Employment”. JOB DESCRIPTION Job Title: Data Management Specialist- Data Department: Data Management Location: CMH Administration Building Supervisor: CPO Shift: 8:00am-5:00pm Monday- Friday Classification: 6 (Six) Prepared Date: 09/27/2022 HR Review: 10/24/2022, 10/30/2023, 3/22/2024, 6/28/2024 Revised By: CIO Supervisor Review: 9/28/2023, 10/30/2023, 3/25/2024 Revised Date: 10/30/2023, 3/22/2024, 10/20/2025, 11/14/2025, 12/19/2025 SUMMARY Monitors, coordinates, completes, and assists with tasks for the Contract/Data Management Department. Enters and tracks data by performing the following duties: ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: Responsible for completing and sending reports using the EMR/OASIS on a predetermined schedule. Those reports include, but are not limited to: Unsigned Documents, Children’s Count, Fee Assessments, Attendance Report, Case List per Department, Data Quality Issues, and SAL Change Requests. Generates reports for Program Secretaries related to caseloads for clinicians and care managers of ACT, Care Management, Clinical Services along with Children’s Services to assist with running Medicaid changes report, IPOS renewal reports, Fee Assessment renewal reports, etc. Provides training and assistance to staff for EMR/OASIS, including the creation of a monthly newsletter offering tidbit reminders of EMR/OASIS processes. Provides troubleshooting assistance as it relates to OASIS for scheduling, data collection and tracking. Enters non-billable individuals for grants/hospital liaison to EMR/OASIS. Adds staff for contractors to EMR/OASIS Monitors BH TEDS completeness and accuracy. Works with staff to correct errors found. Assists CPO and CIO with internal, external audits and reviews for areas of responsibility. Collecting appropriate evidence and coordinating completion of responses. This includes assisting with Plan of Correction (POC) follow up. Compiling all POC responses and working with the appropriate administrator to finalize. Monitoring status reports. Collecting evidence of compliance with POC. Follows up with CPO on any outliers that require corrective action plans/plans of correction/root cause analysis. Completes Satisfaction and Accessibility survey collection in conjunction with Data Management Specialist – Quality. Responsible for entry into survey application and notifying supervisor when complete. Assists with report prep. Assists with Quality Improvement projects and reports both for the Region and internally by the deadlines set forth. Pulls data and prepares reports for agency programs as requested by supervisor. Assists with the completion of weekly, monthly, quarterly, bi-annual, and annual reports for the Region and State. (Delegation report, mortality report, accuracy and completeness report, annual submission, etc.) Responsible to initiate, track and assist in the coordination of HCBS Waiver and Self-Determination/Fiscal Intermediary process. Responsible to assist with gathering and monitoring data for accreditation reviews. Back up for integrated care calls with Region 10 and Health Plans. Attends and participates in committees as assigned. Perform other duties as assigned. SPECIAL KNOWLEDGE AND SKILLS: This role requires a mix of administrative skills and effective communication to facilitate the enrollment processes. Has the ability to coordinate data, Care Management schedules, staff meetings, and training material to effectively meet audit/POC requirements. Relates effectively with supervisors, professional staff, and peers as well as other organizations. Has working knowledge of computer software such as Microsoft 365, Excel, pivot tables, Word and EMRs. Has demonstrated experience and competency in maintaining and organizing large amounts of data and evidence. Has demonstrated experience and competency in organizing, monitoring, and completing multiple projects with multiple due dates and meeting each deadline. Has the ability to accurately and efficiently enter data into appropriate computer systems from forms, minutes or other written material. COMPETENCIES FOR ADMINISTRATIVE STAFF Sanilac CMH staff are dedicated to providing services to the community to improve lives. When they see a task that needs to be completed, they step in to assist or are first in line to help the Agency in promoting recovery, discovery, and independence. Each staff member works within their strengths and collaborates with their coworkers so that collectively we are a stronger whole. Staff provide positive feedback and suggestions to improve the quality of care in the Agency. They hold their coworkers, the individuals they serve and the community in high esteem. To perform the job successfully, an individual should demonstrate the following competencies: Initiative/Organization/Reasoning: Takes initiative and steps in to take on difficult challenges. Willing to identify problems and work to resolve them in the early stages. Plans and organizes work activities and uses time efficiently. Properly organizes and carries out job tasks in a timely manner. Is a self-starter in attaining job objectives. Know and understands job expectations and is willing to expand job knowledge and skills to be more effective to the Agency and the individuals served. Is enthusiastic about the Agency’s Mission and is a positive influence for co-workers and individuals served. Demonstrates an understanding of and adherence to Agency policies and procedures and is willing to provide suggestions to make policies and procedures more efficient. Is willing to think outside of the box while able to make sound decisions and taking actions based on sound reasoning and weighing possible outcomes. Ethics/Teamwork: Consistently treats all people with dignity and respect. Demonstrates expected ethics and principles. Accepts responsibility for actions and follows through on commitments. Demonstrates ability and willingness to work cooperatively and effectively as part of a team. Willingly acknowledges team members and co-workers’ value to your work. Emotional Intelligence: Verbal and written communication is constructive, effective, respectful, and clear. Demonstrates the ability to adapt to changes in work situations. Willing to take the time to learn about co-workers’ personality so that working together is more effective. Willingness to ask questions, listen to others’ ideas, and understand how the impact of your work, impacts your co-workers/team. Establishes and maintains effective relationships. Willing/Ability to be cost conscious Staff are expected to learn and understand job functions and carryout tasks in a proficient manner. SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. QUALIFICATIONS REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily and have the specific special knowledge and skills required. The requirements listed below are representative of additional knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Bachelor's degree in a related field from four-year College or University preferred. Experience in a combination of Quality, Training, and Audits and Plans of Corrections preferred. Two or more years working in Data Management and/or EMR systems preferred. Critical thinking, Excel and Pivot Table testing will be conducted. LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions one on one, from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS Intermediate Skills: Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Has the ability to apply concepts of basic algebra and geometry. REASONING ABILITY Intermediate Skills: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. CERTIFICATES, LICENSES, REGISTRATIONS Valid Driver’s License. COMPUTER SKILLS To perform this job successfully, an individual should have a working knowledge of Excel, pivot tables, and EMRs. Typing speed of 45 wpm preferred. OTHER SKILLS AND ABILITIES To perform this job successfully, the person must be comfortable with public speaking, cooperate with others and maintain quality relationships, be a self-starter on projects but work with direction from various staff and have the ability to represent the Agency professionally at community events. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee is occasionally required to stand; use hands to finger, handle, or feel objects, tools, or controls; and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Sanilac County CMH embraces an employment environment that promotes recovery and discovery, a person-centered approach to treatment/services, and cultural competence. An employee in this or any position is expected to support the employment environment. This includes having lived experience with behavioral health issues. Welcome to Sanilac County Community Mental Health AFSCME Employees In your orientation, you will find several benefits. You may want to take a moment to review the benefits listed below and costs associated with each of them. You must work over 30 hours per week to be eligible for medical and café benefits. Paid time off accruals are based on hours worked. Benefit Plan Eligibility Contributions per Month Medical Insurance POS $1,000/$2,000- 20% BCN POS Annual Deductibles- In Network- Individual-$1,000/Family- $2,000 First of month following hire date. $123.27 - Single $256.79- Two Person $338.27- Family Medical Insurance BCN HMO $2,000/$4,000 BCN HMO HDHP H.S.A. Eligible Plan Annual Deductibles- Single-$2,000/Family- $4,000 First of month following hire date. $57.03- Single $118.35 - Two Person $157.45 -Family Medical/Rx Alternate HMO HSA $3300/$6600 *Exchange State Bank-H.S.A Host BCN HMO HDHP H.S.A. Eligible Plan Annual Deductibles- In Network- Single-$3,300/Family-$6,600 First of month following hire date. $0.00 - Single $0.00 - Two Person $0.00- Family Annuity/Decline Medical Plans Nationwide 457b Eligible if waived all medical plans $233/Month (less Social Security & Medicare taxes) Dental Insurance BCBSM Annual Max-$1,500 per member Orthodontics-$1,500-lifetime First of month following hire date. $42.22- Single $84.45 - Two Person $147.78 – Family Vision Insurance Nation Vision Administrators -NVA First of month following hire date. $10.54-Single $18.94-Employee+ Spouse $16.84-Employee+ Child(ren) $27.38-Family AFLAC Multiple plans available for review for employee only and for family members First of month following hire date. Costs vary depending on plans purchased. Deferred Compensation Nationwide-457B *same account as your retirement contributions. Prior to the first of each month. Set up your own account or $233 (pretax) from medical opt out option Life Insurance RELIANCE- $40,000 Policy Automatically if Union member. *Can purchase additional Personal and Dependent/Spouse coverage. First of month following 1 st full month of employment. Employee Only - $0.00 *Additional Personal and Dependents/ Spouse coverage charges will vary. Retirement Nationwide 401(a)- If hired on or after 9/1/2019 the Authority shall contribute an amount equal to three percent (3%) of the employee’s base wage. Pension- For Employees hired prior to 09/01/2019, the pension formula will be a two percent (2%) multiplier and the Employer will continue to provide contributions as actuarially determined to insure the financial soundness of the fund. Vested in the Authority’s contributions once thirty-six (36) months of service are completed with the Authority. Vested in the Authority’s contributions once eight years of service are completed. The Authority shall contribute fifty cents ($0.50) to the 401(a) Plan for each dollar ($1.00) an Employee contributes to his or her 457B Plan up to the first four percent (4%) of the employee’s base wage. The Authority shall not contribute more than five percent (5%) of the employee’s base wage for its total contributions under this section. Long Term Disability RELIANCE – 90-day disability waiting period & receive 66 2/3% of your income First of month following 1 st full month of employment. No cost to employee PTO Upon commencement of Employment- 25 days After completion of Three Years of Employment – 30 days After completion of Nine Years of Employment – 35 days After completion of Twelve Years of Employment – 40 days Accrued bi-weekly at the close of the pay period based on hours worked. 40 hours worked receives full accruals. If time is used before 3 months and employee leaves, they must repay used portion. See Union Contract. Holiday Days 14 days per year Paid upon 1 st day with Agency. If part time, then you receive pay for regularly scheduled days/hours only. Union Local 1518 Must be employed for three months to reach Just Cause Status. Monthly Union Dues - $47.90(F/T- above20 hrs./wk.) - $35.80 (P/T –12 hrs./wk. or more not to exceed 20 hrs.) - $22.40 (Lower P/T- 12hrs. or less/wk.) Tuition Reimbursement May be reimbursed up to $5,250 annually. *Requires approval and funding availability limited spaces approved each year / contingent upon funding & Agency need. - *Note if you do not need medical insurance, $233.00 per month (less Social Security & Medicare Taxes) will be deposited into an annuity account. You will need to set up the annuity account through Nationwide Retirement. For time off, it is calculated upon the number of hours worked – to reach the maximum benefit, you must work 40 hours per week.

About Us: We give businesses and their customers peace of mind by solving complex credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver better outcomes, every time. We're a fast-growing fintech empowering enterprise merchants with smarter, more adaptive pay-over-time solutions. From point-of-sale financing to “Buy Now, Pay Later” programs and loyalty integrated offers, we’re building configurable credit tools that help businesses serve more of their customers. We value teamwork, clarity of purpose, and rigorous attention to data to drive action. We balance speed and excellence to deliver an exceptional customer experience. Role Overview: ClarityPay is undertaking a transformative approach to our data strategy, tech stack, and data products and platforms. We are looking for a Head of Data Strategy to architect and build our future state. This is not a traditional, hands-off executive role. We possess a data infrastructure that requires significant upliftment to meet the demands of our scale. We need a visionary leader who is equally passionate about writing code as they are about defining strategy. You will lead the migration from a legacy setup to a modern, scalable AWS ecosystem, establishing the data governance, MLOps, and AIOps frameworks that will allow us to become a truly data and intelligence driven operations organization. You will be a catalyst for our healthy and growing business, taking ownership of the entire data lifecycle—from ingestion to insight to automated decision-making. Key Responsibilities: Data Strategy & Transformation: Define and execute the roadmap to modernize our data architecture. You will lead the transition from suboptimal legacy systems to a best-in-class cloud environment, ensuring our infrastructure supports hyper-scale analytics and real-time ML inference. Infrastructure Engineering (Hands-on): Architect and implement a robust data lakehouse solution using the AWS ecosystem (S3, Glue, Redshift/Athena), and potentially onboard Databricks. You will ensure the pipes are clean, reliable, near real-time, and scalable. MLOps & AIOps Leadership: Build the rails for our models to run on. You will design the CI/CD pipelines for Machine Learning (using tools like SageMaker), ensuring that our underwriting and operational models can be deployed, monitored, and retrained with minimal friction. Data Governance & Quality: Establish the "rules of the road." You will implement rigorous data governance standards, ensuring data lineage, security, and quality control are baked into the architecture, not added as an afterthought. Operationalizing Intelligence: Champion scientific rigor in data-driven decision-making. Work with Operations, Technology, and Product to embed data signals directly into our operational workflows, moving the company from "reporting on the past" to "predicting the future." Team Leadership: Recruit and mentor a team of high-performing data engineers and ML engineers. We believe in empowering our people to be successful, and you will foster a culture of technical excellence and curiosity. What We're Looking For Experience: 5+ years in Data Engineering or ML Engineering, with at least 4+ years in a leadership role scaling data platforms. Technical Mastery (AWS): Deep, hands-on experience with AWS Sagemaker, Glue, Lambda, Step Functions, and Redshift. You should be comfortable discussing partition strategies in S3 one minute and presenting to the Board the next. Strong Programming Skills: Proficiency in Python, Spark, Distributing Computing, and SQL is non-negotiable. You must be able to create, maintain, audit code and contribute to the repository when necessary. MLOps Expertise: Proven experience building Machine Learning Operations pipelines. You understand the complexities of model drift, feature stores, and inference latency, in additional to Bayesian approaches to uncertainty. Governance Mindset: Experience implementing data governance frameworks in a regulated industry (FinTech/Banking) is highly preferred. Builder Spirit: You thrive in environments where the path isn't fully paved. You enjoy the challenge of taking a "suboptimal" infrastructure and turning it into a competitive advantage. What Sets Us Apart: High Impact: You will have the unique opportunity to shape the data strategy from the ground up at a company with a very healthy core business and tremendous runway. Collaborative Culture: We are a collaborative team and genuinely enjoy working with each other. You will work side-by-side with the C-Suite to drive the business forward. Innovation: We are building a product that reimagines the way merchants serve their customers through embedded financing, and your data strategy will be the engine that powers that vision. What We Offer: Competitive compensation and equity package. Comprehensive benefits (medical, dental, vision). Collaborative office culture with a strong product mindset. Opportunities to grow, lead, and shape the future of consumer finance. 401k program Ready to redefine consumer lending with us? Apply today and join a passionate team committed to making financial clarity a reality. Salary Range: $175K - $250K per year, based on experience and qualifications. Please email mj@claritypay.com if you are interested along with a resume. ClarityPay is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, age, disability, veteran, marital status, or any other legally protected status.

Conning is a leading global investment management firm with a long history of serving the insurance industry. We develop customized investment strategies that address our clients' unique objectives, requirements and tolerance for risk. We develop solutions by leveraging Conning's risk management tools and utilizing a highly disciplined investment process that relies on fundamental analysis. Position Summary: Maintain data quality at an enterprise level for various market data elements including but not limited to security master, corporate actions, security valuations, asset classifications, and quality ratings for fixed income and equity securities. Work closely with both data providers and consumers to address issues and concerns regarding data accuracy, consistency, and completeness. The position also provides exposure to all aspects of the security life cycle, including but not limited to trading, new issue set up, credit and quality ratings, portfolio compliance, corporate actions, and pricing. Essential Responsibilities: Create, implement, and maintain master data management solutions that enable users to optimize system capabilities. Analyze and research SMF investment data, reconciling data between various sources and internal systems. Apply knowledge of end-to-end data processes to analyze, cleanse, and enrich master data elements, ensuring data flows efficiently and consistently between users and stakeholders. Partner with Risk Management, Portfolio Management, Performance Management, Clients, Investment Operations, 3rd party consultants and external auditors to support a wide range of production related issues. Liaison with all front office departments to identify data requirements and appropriate data source(s) to meet the need. Collaborate among internal teams to create and maintain standard taxonomies for critical enterprise-wide investment data such as asset classifications and quality ratings. Provide data governance and ensure data integrity by coordinating data management efforts across the organization. Troubleshoot issues related to master data management and identify opportunities for improving data management processes. Collaborate with IT when modifications to existing configuration are deemed necessary in the Enterprise Data Management tool. Support all vendor management related processes as needed. Requirements: Bachelor's degree in Business or a related field Minimum of 3 years of data management experience, preferably in financial or investment management industry Ability to contribute to moderately complex aspects of a project High level of interaction with internal & external customers Strong organizational, verbal and written communication skills Detail oriented, analytical mentality with problem solving, research, and follow-up skills Ability to meet tight deadlines and multi-task Ability to work independently and collaboratively in a team environment Advanced prioritization skills and experience with agile methodology Advanced knowledge of finance/accounting data and systems Experience with straight-through process management and project management is a plus Technical Skills: Advanced experience working with Microsoft Excel, Microsoft Teams and Microsoft SQL Query Intermediate knowledge of database architecture and design Intermediate experience with Bloomberg data is a plus Intermediate experience writing Oracle SQL code is a plus Basic experience using visualization tools (Power BI) is a plus Basic experience using Extract Transform Loads (ETL's) is a plus Conning is an equal opportunity employer. Our company embraces the principles of inclusion; our employees can bring the best version of themselves to work every day. We thrive in an environment where everyone's voice is heard, every idea counts, and the differences of our employees are valued. We provide reasonable accommodations to those who need them. If you are unable to complete this application due to a disability, contact us to ask for an accommodation or an alternative application process. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Applicants must exhibit a strong commitment to meet compliance obligations reflecting Conning's core values of honesty and integrity; must accept responsibility for compliance in each role and comply with all applicable rules, regulations, and legal requirements.