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Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. About the Role Strider is seeking a Senior Data Scientist to architect, build, and scale AI-driven capabilities that power Strider’s core products. You’ll own some of the most technically challenging problems Strider faces and you’ll be responsible for defining what we build and how we do it. This is a hands-on role for a data scientist who thrives on complexity and is eager to apply machine learning an AI in creative, production-ready ways. You’ll collaborate across teams, shape analytical methods, and help bring clarity and structure to massive, messy, proprietary data. You’ll prototype fast, iterate intelligently, and help shape how AI elevates Strider’s ecosystem. What You Will Do Architect data services that power Strider’s current and future products — think entity resolution, knowledge graphs, large-scale systems that transform unstructured data into structured intelligence. Integrate AI and machine learning into workflows to make our data science stack faster, smarter, and more autonomous. Own end-to-end delivery of complex technical projects, from scoping and design to deployment and validation, balancing innovation, velocity, and precision. Partner cross-functionally with Engineering, Product, and Intelligence teams to translate ambiguous mission statements into technical solutions. Define and track metrics for progress and impact, ensuring that every model matures from experimentation to product, delivering quantifiable value. Push the team’s technical boundaries – exploring new methods and tools that expand what’s possible for Strider’s AI and data science capabilities What You Will Need to Be Successful 4+ years of hands-on data science experience, including production-grade model development. Deep expertise in Python; experience with a search infrastructure (e.g., Elasticsearch), graph-based methods, or distributed data frameworks (Spark, Ray, etc.) is a strong plus. Demonstrated success building AI-augmented workflows, tools, or data services that scale. Proven ability to take a nebulous question, frame it as a technical problem, and deliver a working system that people actually use. You know when to go deep and when to ship. Curiosity that borders on obsession — you read papers, explore new methodologies, test new tools, and challenge yourself because you love it. Relentless pusuit of excellence. Why Join This Team You’ll work at the intersection of AI, data science, and intelligence , developing systems that power Strider’s most critical missions. You’ll play a central role in transitioning Strider from smart people solving hard problems to smart systems solving them at scale . You’ll have the autonomy to innovate—designing architecture, improving processes, and influencing the evolution of Strider’s AI capabilities. You’ll collaborate with a team of motivated engineers, data scientists, and intelligence analysts committed to pushing technical boundaries and redefining what is possible in data-driven intelligence. Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.We’re actively seeking a talented Data Engineer to join our Pacific Life Team in Newport Beach, CA. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Data Operations Engineer you’ll move Pacific Life, and your career, forward by leading and acting as an individual contributor in our Data Ops support team. You will fill Data Operations Engineer role that sits on a team of 15 people in the PL Data division. Your colleagues will include other Data Ops Engineering professionals and you will be interfacing with internal/external, business and IT Stakeholders. How you’ll help move us forward: Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an urgent and effective manner. Implementing automated workflows to streamline data collection, processing, and analysis. Monitoring data pipelines to detect and resolve issues promptly. Reducing manual intervention to minimize errors and increase efficiency. ·Promoting a culture of continuous improvement and agile methodologies. Demonstrate adaptability, initiative and inquisitiveness in issues resolution. Ensuring compliance with data governance policies and regulations. Skills in analyzing data to identify trends, patterns, and insights. Design, build, and maintain scalable data pipelines for data extraction, transformation, and loading. Proficiency in languages such as Python and PowerShell for data pipeline management Strong knowledge of SQL for querying, optimizing and innovating databases and managing data. The experience you bring: Bachelor's degree in Computer Science, Mathematics, Data Science or Statistics 5+ years of experience in design, development, and data management 5+ years of experience and proficiency in SQL, ETL, data transformation, and data operations tools (Snowflake, Redshift, Informatica, Matillion, DBT, Python, Control-M) 2+ years of experience with DevOps and CI/CD Effective communication & facilitation; both verbal and written Team-Oriented: Collaborating effectively with team and stakeholders Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: 2+ years of experience in Snowflake and Data Build Tool (DBT), and cloud services Experience with automation, optimization and innovation in data management and batch cycle environments Understanding of data catalogs, glossary, data quality, and effective data governance Financial services domain knowledge Data driven individual with ability to setup effective processes in your sphere of ownership Strong communication with the ability to translate business requirements into technical specification You can be who you are.People come first here. We’re committed to a diverse, equitable and inclusive workforce. Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at www.pacificlife.com. What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife.Benefits start Day 1.Your wellbeing is important. We’re committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.• Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents• Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off• Paid Parental Leave as well as an Adoption Assistance Program• Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $134,280.00 - $164,120.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative. The Team Biohub supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing novel imaging technologies to map, measure and model complex biological systems Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease The Opportunity At Biohub, we are generating unprecedented scientific datasets that drive biological modeling innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples PB-scale static and dynamic imaging datasets TB-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease. What You'll Do Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, and analysis pipelines. Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance. Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team. Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem. What You'll Bring 10+ years of experience with large scale biological imaging data. Demonstrated delivery of multiple large biological data products. Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis. Experience with processing and orchestration pipelines, such as Argo Workflows , Databricks Strong fundamentals in statistical reasoning and machine learning. Experience with biological data analysis and QC best practices Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a multidisciplinary environment (engineering, product, AI Research). Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Better Together As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Hybrid

Company Overview: Conagra Brands is on a journey to build an Enterprise Data Platform to deliver best-in-class data solutions. Join our Enterprise Data Engineering team as a Senior Data Engineer and contribute to shaping and maintaining products responsible for our data-driven future. Leverage cutting-edge cloud-based technologies like Databricks, Snowflake, Palantir and other world-class tools to deliver solutions that empower our business. Position Overview: As a Senior Data Engineer, reporting to the Director of Information Technology, you will be responsible for leading and owning the Enterprise Data Platform and its data products. In today's data-driven world, Enterprise Data Products are an absolute necessity, streamlining the process of accessing crucial data, ensuring data accuracy and reliability, enabling efficient decision-making, and empowering teams across the organization to collaborate effectively. You will work with cross-functional Portfolio and Business Teams, ensuring data accessibility, quality, and efficient decision-making. You will be the subject matter expert and mentor for data-related activities, driving the success of our data initiatives. Key Responsibilities: Lead the development and implementation of data-related features and stories within the Enterprise Data Platform. Collaborate with data scientists, business analysts, and cross-functional teams to understand data requirements and priorities. Break down complex data tasks into manageable chunks and assign tasks to team members for delivery. Ensure high data quality standards and maintain the accuracy and reliability of data. Create and manage data models, and validate them with key business representatives, data owners, data architects, and end-users. Build automations to validate source-to-target data accuracy during build, testing, and support phases. Identify and resolve data-related issues proactively or based on input from end-users. Create complex and efficient SQL data transformations and views for various use cases. Perform SQL performance tuning, including identifying and resolving performance bottlenecks, join optimization, data model optimization, and data pre-processing. Oversee the creation of automated test cases to ensure data values are within expected ranges, complete, and within quality parameters. Develop job schedules for data flows and ensure seamless data integration. Mentor junior team members and offshore data engineers. Operate within a DevOps framework for maintaining source control and deploying database objects; create automated test cases when checking in DB objects. Ensure the health and quality of operational support provided by third-party services. Position Qualifications: Bachelor's degree from an accredited university preferred or 5+ years of experience in an IT data-related role. Ability to communicate effectively with analysts, offshore resources, and leadership; prior experience leading junior team members. Demonstrated knowledge of business concepts and processes related to supported data domains. Deep experience (5+ years) in writing and debugging complex SQL on RDBMS platforms like Snowflake, SQL Server, and Oracle. Proficient in Python and PySpark for data processing and transformation. Experience with DevOps frameworks and source control. Proficient in using ETL tools like Informatica IICS, Talend, Data Services, and SSIS. Experience with cloud-based technologies like Databricks, Snowflake and Palantir. Experience operating within an Agile framework to break down, estimate, assign, and complete work. Preference will be given to candidates who are legally authorized to work in the United States without requiring employer sponsorship now or in the future. Our Modern Workplace: Conagra's culture of collaboration enhances our ability to meet critical business goals, deliver value to customers and consumers, and provide you with the flexibility to achieve a better work-life balance. We carefully consider each role and how often each team member needs to collaborate in person. This position requires you to work from our Omaha or Chicago office 2 days a week. Join Conagra Brands and be part of our exciting journey to build the Enterprise Data Platform, delivering high-quality data products that drive business success and innovation. Compensation: Pay Range:$93,200-$135,700 The annual salary listed above is the expected offering for this position. An employee's actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees' equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees. Our Benefits: We care about your total well-being and will support you with the following, subject to your location and role: Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities Our Company: At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions - within our people and our iconic brands like Birds Eye , Slim Jim and Reddi-Wip. Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome. Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $230,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.

Job Description: We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with a specialization in Matillion, SSIS, Azure DevOps, and ETL processes. This role will involve designing, developing, testing, and deploying ETL jobs, collaborating with cross-functional teams, and ensuring efficient data processing. Key Responsibilities: Design, develop, test, and deploy Matillion ETL jobs in accordance with project requirements. Collaborate with the Data and BI team to understand data integration needs and translate them into Matillion ETL solutions. Create and modify Python code/components in Matillion jobs. Identify opportunities for performance optimization and implement enhancements to ensure efficient data processing. Collaborate with cross-functional teams, including database administrators, data engineers, and business analysts, to ensure seamless integration of ETL processes. Create and maintain comprehensive documentation for Matillion ETL jobs, ensuring knowledge transfer within the team. Create, test, and deploy SQL Server Integration Service (SSIS) packages and schedule them via Active Batch scheduling tool. Create Matillion deployment builds using Azure DevOps CI/CD pipeline and perform release manager activities. Review code of other developers (L2, L3-BI/DI) to ensure code standards and provide approval as part of code review activities. Resolve escalation tickets from the L2 team as part of the on-call schedule. Working knowledge of API and Postman tool is an added advantage. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with a focus on ETL processes. Proficiency in Matillion, SSIS, Azure DevOps, and ETL. Strong knowledge of SQL, Python, and data integration techniques. Experience with performance optimization and data processing enhancements. Excellent collaboration and communication skills. Ability to work in a fast-paced, dynamic environment. Preferred Skills: Experience with cloud platforms such as AWS or Azure. Knowledge of data warehousing and data modeling. Familiarity with DevOps practices and CI/CD pipelines. Strong problem-solving skills and attention to detail.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com Please review our Candidate Privacy Notice here .

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 actdecisively 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 The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles. About The Role We are seeking a highly skilled Salesforce Data Integration Engineer / Architect to design, implement, and optimize integration solutions that connect Salesforce with enterprise systems, data warehouses, and third-party applications. The role combines technical expertise in integration patterns with architectural vision to ensure secure, scalable, and high-performance data flows across platforms. You will design, build, and maintains seamless data flow between Salesforce and other systems, ensuring data quality, security, and accessibility. The candidate will be part of the Information management organization responsible developing integration solutions using Salesforce APIs, creating ETL pipelines for data migration, troubleshooting issues, and collaborating with cross-functional teams to meet business data needs. Responsibilities As a Leader, you are respected for your deep technical expertise and/or ability to oversee programs and processes. You balance the needs of multiple stakeholders, making sound decisions using data, analysis, experience, and judgment, along with a risk mindset. Ultimately, you take ownership for key outcomes. Responsibilities: Architecture & Design Design scalable data integration architecture between Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, AgentForce etc) and external systems. Define integration patterns (real-time, batch, event-driven, API-led, ETL) and select the appropriate approach per use case. Establish data governance, security, and compliance standards for data movement. Recommend middleware or integration platforms. Implementation Build, configure, and maintain integrations using REST/SOAP APIs, ETL tools, or custom solutions. Develop data pipelines for ingesting, transforming, and synchronizing Salesforce data with on-premises or cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Implement event-driven integrations using Salesforce Platform Events, Change Data Capture, or Streaming APIs. Optimize data flows for performance, error handling, retry logic, and resiliency. Data Management Define data models, mapping, and transformations between Salesforce and other systems. Ensure high-quality, clean, and consistent data across environments. Manage large-scale data migrations into and out of Salesforce, including validation, deduplication, and reconciliation. Monitor data pipelines and integrations for performance, availability, and compliance. Collaboration & Leadership Partner with Salesforce administrators, developers, business analysts, and enterprise architects to align integration design with business needs. Provide technical leadership and mentoring to integration developers or data engineers. Participate in code reviews, solution design sessions, and technical workshops. Document integration architecture, data flows, and technical standards. Skills and Qualifications The position calls for a seasoned IT professional with senior leadership qualities and background with 10+ years’ experience in IT. 10+ years of experience of salesforce integration work. 5 + years of experience in delivering enterprise-level data integration projects. 5 + years of experience with cloud platforms AWS, Azure. Salesforce + integration platform certifications strongly recommended. Bachelor's degree in Information Technology or related field preferred, or equivalent work experience. 10+ years of experience in the IT Industry. Technical Expertise Strong hands-on experience with Salesforce APIs (REST, SOAP, Bulk, Streaming, Metadata APIs). Strong hands-on experience on Salesforce cloud applications like Service cloud, Experience cloud, Marketing Cloud, Data cloud . Experience with Salesforce AgentForce platform. Strong hands-on experience with Tableau as BI Platform to architect BI solutions on Salesforce ecosystem apps and third party data outside of salesforce. Proficiency with integration/middleware platforms (AWS API Gateway, MuleSoft) . Experience with ETL/ELT processes and data pipeline development. Proficiency in SQL and working with relational databases (Oracle, SQL Server, PostgreSQL). Experience with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake). Architecture Skills Ability to define integration architecture patterns (real-time sync, batch, event-driven, microservices-based). Understanding of API management, versioning, throttling, and security (OAuth, SAML, JWT, TLS) . Knowledge of data governance, security, and compliance (GDPR, HIPAA, SOC2). Other Competencies Strong problem-solving and debugging skills. Experience with Agile/Scrum delivery. Excellent documentation and communication skills. Strong SQL skills and experience working with relational/dimensional databases (e.g., Oracle, SQL Server, Snowflake) and no-SQL databases like Cassandra/AWS Dynamo DB. Familiarity with data warehousing concepts and ETL processes Compensation The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate’s geographic location, skills, experience and other qualifications. In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan. Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below. Work Location This position is based in Corebridge Financial’s Houston, TX, Woodland Hills, CA, or Jersey City, NJ 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%. #LI-SAFG #LI-CW1 #LI-Hybrid 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: IT - Information TechnologyEstimated Travel Percentage (%):Relocation Provided:American General Life Insurance Company

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

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a customer-obsessed and results-oriented Product Manager to support our Data Ingestion and Movement platform. This role will help drive product direction for our data ingestion, ETL/ELT pipelines, and data movement services, focusing on enabling reliable data flow into our lakehouse and other data stores. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions. Description As a Product Manager for Data Ingestion and Movement, you will be responsible for supporting the product vision and execution for GEICO's data ingestion and movement products. To successfully shape a platform that enables pipeline-as-a-service and supports a scalable data mesh architecture, a strong technical understanding of data pipelines, data integration patterns, data orchestration, ETL/ELT processes, and platform engineering is essential. Your goal is to abstract complexity and empower domain teams to autonomously and efficiently build, deploy, and govern data pipelines. This role also requires stakeholder management skills and the ability to bridge technical solutions with business value. Key Responsibilities Support the development and execution of data ingestion and movement platform vision aligned with business goals and customer needs Help create and maintain a clear, prioritized roadmap for data ingestion and movement capabilities that balances short-term delivery with long-term strategic objectives Support evangelizing the Data Ingestion and Movement platform across the organization and help drive stakeholder alignment Stay abreast of industry trends and competitive landscape (Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.) to inform data ingestion strategy Support requirement gathering and product strategy for data ingestion, ETL/ELT pipelines, and data movement services Understand end-to-end data ingestion workflows and how data movement fits into the broader data ecosystem and downstream analytics Support data governance initiatives for data lineage, quality, and compliance in data ingestion and movement processes Ensure data ingestion and movement processes adhere to regulatory, compliance, and data quality standards Partner with engineering on the development of data ingestion tools, pipeline orchestration services, and data movement capabilities Help define product capabilities for data ingestion, pipeline monitoring, error handling, and data quality validation to improve reliability and performance Support customer roadshows and training on data ingestion and movement capabilities Build instrumentation and observability into data ingestion and movement tools to enable data-driven product decisions and pipeline monitoring Work closely with engineering, data engineering, and data teams to ensure seamless delivery of data ingestion and movement products Partner with customer success, support, and engineering teams to create clear feedback loops Translate data ingestion and movement technical capabilities into business value and user benefits Support alignment across multiple stakeholders and teams in complex, ambiguous environments Qualifications Required Understanding of data ingestion patterns, ETL/ELT processes, and data pipeline architectures (Apache Kafka, Apache Airflow, Apache Spark, AWS Glue, etc.) Experience with data integration APIs, connectors, and data pipeline orchestration tools Basic understanding of data pipeline monitoring, observability, and data quality validation practices Experience in cloud data ecosystems (AWS, GCP, Azure) Proven analytical and problem-solving abilities with a data-driven approach to decision-making Experience working with Agile methodologies and tools (JIRA, Azure DevOps) Good communication, stakeholder management, and cross-functional collaboration skills Strong organizational skills with ability to manage product backlogs Preferred Previous experience as a software or data engineer is a plus Strong business acumen to prioritize features based on customer value and business impact Experience with data ingestion tools (Apache Kafka, Apache NiFi, AWS Kinesis, Azure Event Hubs, etc.) Knowledge of data lineage, data quality frameworks, and compliance requirements for data ingestion Insurance industry experience Experience Minimum 5+ years of technical product management experience building platforms that support data ingestion, ETL/ELT pipelines, data engineering, and data infrastructure Track record of delivering successful products in fast-paced environments Experience supporting complex, multi-stakeholder initiatives Proven ability to work with technical teams and translate business requirements into technical product specifications Experience with customer research, user interviews, and data-driven decision making Education Bachelor's degree in computer science, engineering, management information systems, or related technical field required MBA/MS or equivalent experience preferred Annual Salary $88,150.00 - $157,850.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

As a Senior Technical Product Manager, Clinical Data Platform, you will be a key member of the team responsible for designing scalable technical, service, and unstructured extraction solutions that Support Aledade's various lines of business, with a focus on Medicare Advantage within the clinical data platform. In this role, you will partner with business owners, AI researchers, engineers and clinical informaticists to define project goals, solution scope, implementation approaches, and rollout plans. You will play a critical role in expanding the clinical platform's ability to ingest, standardize and serve clinical data at scale, including structured and unstructured data, to power downstream LLM use cases. Your primary focus will be to help identify and productionize AI/ML capabilities that extract and improve clinical insights from unstructured data in support of enhancing data quality and completeness. As a platform focused product manager, you will bridge the gap between strategic business needs and core platform capabilities, ensuring Aledade delivers a high-quality, future ready clinical data foundation that can support AI innovation and scale operationally. Primary Duties: Define and drive both short and long term technical roadmaps for data pipeline infrastructure, ensuring scalable, reliable ingestion and transformation of structured and unstructured data across diverse upstream sources and downstream consumers to deliver maximum value with minimum risk Partner cross functionally with engineering, analytics and key business stakeholders to identify data requirements, translate them into technical specifications and support implementation through backlog grooming, solution design and adoption oversight Monitor pipeline performance and data quality metrics, proactively investigate anomalies with SQL or equivalent query tools to drive root cause analysis and implement improvements to support data completeness, timeliness, analytics and generative AI initiatives. Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful technical solution designs, use data to test hypotheses, and support teams throughout execution. Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes. Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & internal user feedback Minimum Qualifications: 8+ years of product or technical program management experience in healthcare data platforms, interoperability, or machine learning infrastructure, with a focus on clinical data ingestion and transformation, technology-enabled services industry, or a SaaS product. Experience using and writing queries against data for the purposes of performing preliminary research to inform solution design and build internal business understanding. Strong understanding of the software development lifecycle, Agile methodologies, and cross functional collaboration across engineering, informatics and data science teams. Product development experience supporting LLM pipelines or retrieval-augmented generation workflows using structured and unstructured healthcare data Proven ability to bridge business objectives and platform capabilities in environments requiring data standardization and semantic normalization. Preferred Knowledge, Skills, and/or Abilities: Excellent organizational and communication skills with an emphasis on problem-solving and building subject matter expertise. Intermediate understanding of EHR data integration and applicable data standards, including FHIR, QRDA, CCDA, SNOMED CT, LOINC, ICD-10, CPT and RxNorm Experience applying project management principles and techniques with an eye towards execution. To include skills in leading and managing change within the team and initiative more broadly. Knowledge of healthcare administrative and clinical data sets, including demographics, financials, encounters, labs, diagnoses, and medications. Familiarity with software development environments, version control systems and basic coding or scripting languages to better communicate with development teams and participate in technical discussions. Basic understanding of clinical workflows across inpatient, ambulatory, and ancillary care settings, including how data is captured and used in EHR systems. Experience working with EHR, practice management, revenue cycle tools, or population health platforms to support clinical or operational use cases.. Experience with clinical datasets to ensure accurate patient record linkage, data integration, and interoperability between clinical, administrative and claims data sources. Experience applying NLP and/or named entity extraction methods for extracting structured clinical insights from free-text or unstructured data (e.g., clinical notes, CCDAs, scanned documents, and/or images). Experience working with clinical or similar data pipelines including ingestion, normalization, and mapping to standardized terminologies and schemas. Proficient in SQL, with experience querying large healthcare datasets in PostgresSQL or similar environments. Physical Requirements: Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. Who We Are: Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission. In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members: Flexible work schedules and the ability to work remotely are available for many roles Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners Robust time-off plan (21 days of PTO in your first year) Two paid volunteer days and 11 paid holidays 12 weeks paid parental leave for all new parents Six weeks paid sabbatical after six years of service Educational Assistant Program and Clinical Employee Reimbursement Program 401(k) with up to 4% match Stock options And much more! At Aledade, we don't just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation. Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants

Office of the Illinois Secretary of State Alexi Giannoulias Job Title:      Chief Data Officer (Data Systems Administrator) Division:        Administration Union:            N/A Location:       501 S. 2 nd St., Springfield, IL - Sangamon County Salary:           Range $6,904 to $13,522 monthly – commensurate with experience Benefits:         https://cms.illinois.gov/benefits/stateemployee.html Overview: Leads and directs a statewide enterprise data program through subordinate supervisory staff, overseeing technical, professional, and analytical teams responsible for data governance, data architecture, data quality, and enterprise data management activities. This role is responsible for establishing a vision and strategy for data across the organization, ensuring its alignment with business goals, compliance requirements, and enterprise architecture standards. Duties and Responsibilities: Program Leadership and Oversight - Through subordinate supervisors, plans, organizes, directs, and evaluates the work of data analysts, data stewards, architects, and technical staff supporting enterprise data initiatives, including data quality assessment, metadata management, master data management, and governance policy enforcement. Participate in hiring and workforce planning activities for the Enterprise Data Management team. Enterprise Data Governance Frameworks and Standards - Develops and implements procedures, policies, and governance frameworks for enterprise data use across all departments. Establishes standards for data stewardship, metadata, lineage, and classification. Approves or refines recommendations from subordinate staff regarding department-specific data governance implementation, ensuring consistency and scalability across the organization. Strategic Planning and Policy Development - Analyzes and recommends data strategy enhancements and enterprise-wide data management policies to the Department Director. Leads the creation of long-range data plans that support enterprise goals and digital transformation efforts. Identifies data architecture enhancements, oversees enterprise data integration planning, and ensures alignment with statewide technology initiatives. Consultation and Advisory Services - Serves as the enterprise advisor to division managers statewide regarding data strategy, governance adoption, data-driven decision-making, and compliance with regulatory and internal standards. Provides guidance on organizational readiness for advanced analytics, data modernization efforts, and new data technologies. Budgetary and Investment Planning - Provides expert consultation on the development of proposed budgets related to enterprise data systems, platforms, and tools. Reviews and advises on strategic investments in data technology and services, ensuring cost-effectiveness and alignment with data strategy and business needs. Stakeholder Engagement and Communication - Maintains ongoing communication and engagement with department leaders across all divisions to advocate for enterprise data initiatives and educate teams on data governance practices. Leads forums, working groups, and training initiatives to foster a data-literate culture. Maintains contact with external data platform vendors, regulatory bodies, and industry peers to stay informed of data management advancements and opportunities for the Office of the Secretary of State. Performs other duties as required or assigned. Education and Experience: Requires knowledge, skill and mental development equivalent to completion of four years college preferably with courses in computer science, management information systems, mathematics or statistics supplemented by a master's degree in computer science or a related field and two years of managerial experience in a computer-based management information system. Knowledge, Skills and Abilities: Requires thorough knowledge of management information system, data base administration, systems analysis and computer communication systems. Requires thorough knowledge of the principles of organization, management and administration. Requires extensive knowledge of research and statistical procedures, program budgeting and systems modeling. Requires ability to implement program evaluations or system assurance. Requires ability to anticipate and resolve managerial problems. Requires willingness to travel and possession of a valid Illinois driver’s license as required by individual positions within the class. Requires the ability to lift, carry, and push/pull 0-50 lbs. Application Process:  Please visit  https://ilsos.applytojob.gov/apply  to apply by completing the online application; you may also upload a resume or other attachments as needed . Preference will be given to Illinois residents in the hiring and selection process, in accordance with the Illinois Secretary of State Merit Employment Code. Questions regarding this posting or Illinois Secretary of State employment practices may be directed to Job Counselors at our Personnel offices in Chicago (312-793-5515) or Springfield (217-782-4783).     Equal Employment Opportunity Employer. Applicants must be lawfully authorized to work in the United States. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, sexual orientation, age, marital or veteran status, or the presence of a non-job-related medical condition or disability. Powered by JazzHR

Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help. With the support and investment needed to explore new frontiers in Generative AI, you'll be working alongside talented colleagues, innovating and contributing to projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles, and your contribution will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you're excited by the opportunity to create meaningful impact at scale and shape the future of the insurance industry, we'd love to hear from you. Who we are AIG is one of the leading global commercial and personal insurance organizations, with one of the most far-reaching property casualty networks. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. As a Data Architect, you'll have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you're looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong. How you will create an impact As a Data Architect, you will drive the development of AIG's data architecture and ontology frameworks, ensuring that our data systems are robust, scalable, and future-proof. You'll shape how data is modeled, integrated, and governed across the organization, helping business applications deliver faster with greater quality and compliance. Your role will be crucial in creating reusable enterprise information assets, and you will collaborate closely with solution architects, product owners, and engineering teams to deliver high-impact business outcomes. This is an opportunity to play a key role in ensuring data architecture supports innovation, compliance, and improved business performance. Your responsibilities include Creating and managing data models and ontologies for large-scale business applications across multiple geographies Assisting the design and integration of enterprise information assets, services, and business systems to ensure efficient data usage and compliance with governance standards Documenting and continuously improving data architecture systems, while educating teams on data governance standards and best practices Collaborating with product owners, engineers, and the Data Governance team to ensure high data quality, security, and privacy compliance across business applications Monitoring market and industry trends in data architecture and applying them to enhance AIG's information lifecycle management and data integration processes What is needed to be successful Data modeling and data analysis experience: You bring expertise in creating complex data models, and have a proven track record of modeling with 3NF, as well as dimensional and Data Vault methodologies, as well as contributing to the data architecture strategy at an enterprise level Strong data analysis, data profiling and SQL skills You have experience with best practices in data governance, security and privacy in modeling and data architecture Strong knowledge of data technologies, data design practices and data integration Passion for integrity and clarity of data Experience with master and reference data management Experience across sub-functional data domain areas such as reporting, analysis, conceptualization and design of data assets across warehouses and marts You are passionate about using the latest technology for data innovation and are excited to use AI and LLM integration to innovate Experience (or certification) with data modeling tools, ETL tools, Snowflake, Dimensional Modeling, Data Vault modeling, ER modeling Experience (or certification) working with NoSQL databases like MongoDB, experience with XML / JSON Solid communication skills - verbal and written AGILE / Rally development experience or training required Experience with (or strong enthusiasm about) AI-driven solutions It would be nice if Experience in Data Warehousing Experience using Snowflake platform You have a good understanding of ontologies Experience with Palantir Foundry or similar tool is highly desired Experience in insurance or financial services is desired Ready to solve bigger problems? We would love to hear from you. Veterans are encouraged to apply. #LI-AIG #LI-CM1 #AI #GenAI #artificialintelligence #DataEngineering #DataMining At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data AIG PC Global Services, Inc.

Job Title Canoo Data Platform- Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed breakthrough electric vehicles that are reinventing the automotive landscape with pioneering technologies, award-winning designs, and a unique business model that spans all owners in the full lifecycle of the vehicle. Canoo is starting production and is distinguished by its pioneering and experienced team of technologists, engineers, and designers. With offices around the country, the company is scaling quickly and seeking candidates who love to challenge themselves, are motivated by purpose, and possess a strong desire to get things done. The "Canoo Way" Canoo's success is the direct result of our disciplined application of our core operating principles and drills, which are based on three main principles: Think 80/20 ("Important versus less important"), Act 30/30 ("Reduce waste and increase output"), and Live 90/10 ("We have each other's back"). We hire based on "MET"- Mindset, Equipment and willingness to Train - and seek individuals that take accountability and deliver results being Humble, Hungry to succeed, and Hunting for opportunities to win. We train our team to engage with each other by modulating between their intellect (iQ) and emotional intelligence (eQ) applying Facts, Finesse, and Force when they communicate. The principles and drills of the CANOO Way have been fundamental to our success, our ability to grow, continuously improve, innovate and are at the core of our day-to-day operations. Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly scalable data pipelines that enable data transformation and load between internal systems, IoT devices (electric vehicles), external backend systems, and frontend user interfaces. You will design and implement data streams ensuring data quality, data integrity, security, and high performance. Additionally, you will collaborate with cross-functional teams to continually integrate all company systems. Responsibilities (80s of the Position) Work with stakeholders to gather data and reporting requirements, to build dashboards and data flows. Create infrastructure-as-code, deployment pipelines, developer tools, and other automations. Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required. Deliver solutions that can keep up with a rapidly evolving product in a timely fashion. Required Experience Google Cloud Platform (GCP), GCS, BigQuery Expertise with one or more back-end languages such as Python, Go, TypeScript, JavaScript, etc. SQL expertise- DBT experience a plus. Experience with cloud services like GCP, AWS or Azure. Kafka Dashboarding and Reporting- Superset, Looker Git- BitBucket/Gitlab *Kubernetes- Mid-Level Experience Preferred Experience Python Python dependency management and custom packages Expertise with Google Cloud Platform (GCP) Data Warehousing - partitioning, segmentation Internet of Things (IoT) and MQTT Docker Terraform - experience a plus CI/CD tooling- Jenkins/git-ci Understanding of automotive and embedded software systems Travel Requirements Onsite presence in the office, this is not a remote or hybrid role. Travel may be required on an occasional basis for events such as team meetings or working with manufacturers or subject-matter experts on particular tasks ( Physical Requirements for Non-Physical Positions While performing the duties of this job, employees may be required to sit for prolonged periods of time, occasionally bending or stooping, lifting up to 10 pounds, and prolonged periods of computer use. Reasonable Accommodations Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. What's Cool About Working Here... Meaningful, challenging work that will redefine automotive landscape and make EVs available to everyone Comprehensive Health Insurance Equity Compensation Flexible Paid Time Off Casual workplace with an unbelievable feeling of energy Canoo is an equal opportunity-affirmative action employer and considers all qualified applicants for employment based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, age, disability, sexual orientation, gender identity or expression, marital status, past or present military service or any other status protected by the laws or regulations in the locations where we operate. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Canoo Inc. and its subsidiaries and are not subject to payment of referral or placement fees if any such candidate is later hired by Canoo unless you have a signed written agreement in place with us which covers the applicable job posting. Canoo maintains compliance with the OFCCP. As such, please feel free to review the following information: https://www.dol.gov/agencies/ofccp/posters https://www.dol.gov/agencies/olms/poster/labor-rights-federal-contractors If you are a person with a disability needing assistance with the application process, please call (214) 529-8055 or email us at TalentAcquisition@canoo.com Equal Employment Opportunity Posters Equal Employment Opportunity Posters | U.S. Department of Labor (dol.gov)

Description Our Company: At red violet, we build proprietary technologies and apply analytical capabilities to deliver identity intelligence. Our technology powers critical solutions, which empower organizations to operate with confidence. Our solutions enable the real-time identification and location of people, businesses, assets and their interrelationships. These solutions are used for purposes including identity verification, risk mitigation, due diligence, fraud detection and prevention, regulatory compliance, and customer acquisition. Our intelligent platform, CORE, is purpose-built for the enterprise, yet flexible enough for organizations of all sizes, bringing clarity to massive datasets by transforming data into intelligence. Our solutions are used today to enable frictionless commerce, to ensure safety, and to reduce fraud and the concomitant expense borne by society. The Role: We're looking for a Data Scientist with expertise in parallel programming, Linux administration and software systems to join our Seattle team. You'll use your programming, mathematics and analytics experience to write scalable; production facing code and develop creative solutions to challenging problems. Together we'll be working in parallel, highly distributed, Linux-based environments that leverage our proprietary search and computing platform. What You Will Do: Design, develop, debug and maintain the parallel proprietary code bases that are used for complex data fusion and entity resolution algorithms sitting at the core of our risk management offerings. Create novel search capabilities that leverage inverted indices, Bayesian inference and higher order clustering techniques. Work closely with our engineers to integrate your innovations into our production systems. Support business decisions with ad-hoc analysis as needed. What You Bring: Master's Degree or Bachelor's Degree with 2 years of work experience in Computer Science, Math, Statistics, Physics, or related field. Experience using C / C++ and MPI in a Linux environment. Experience debugging and optimizing distributed code. Experience building and maintaining software build systems. Experience working with large data sets for data mining, analytics, modeling. Understanding of relational algebra and database operations. Applicants must have permanent work authorization in the U.S.; we are not sponsoring visas for this role. Base Salary: Commensurate with experience: Salary range for the Data Scientist: $90K - $140K Salary range for the Senior Data Scientist: $120K - $180K What we offer: red violet offers excellent benefits including opportunity for stock (RSU) grants, a 401K and generous company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, team events and more. red violet is proud to be an Equal Opportunity Employer.

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. About the Role Strider is seeking a Data Science Manager to lead a team of 5-10 data scientists in architecting, building, and scaling AI-driven capabilities that power Strider's core products. Your team will own some of the most technically challenging problems Strider faces and together you'll be responsible for defining what we build and how we do it. This team succeeds by developing high-quality models and systems, accelerating delivery through the smart use of AI, and grounding all work in objective, measurable impact. We're looking for someone who is both a doer and a catalyst - someone who thrives on mentoring others and whose passion drives them to continue coding. As a player-coach, you'll have an opportunity to transform the business through both hands-on technical work and people leadership. You'll lead your team to prototype fast, iterate intelligently, and help shape how AI elevates Strider's ecosystem. What You Will Do Lead, mentor, and grow a team of 5-10 data scientists, fostering a culture of curiosity, experimentation, and impact. Help shape the data science strategy, contributing to the long-term vision of the team while continuously improving how we work. Architect and guide the development of data services and AI systems that power Strider's current and future products - think entity resolution, knowledge graphs, large-scale systems that transform unstructured data into structured intelligence. Drive the integration and adoption of AI and machine learning that make our data science stack faster, smarter, and more autonomous. Oversee end-to-end delivery of complex technical projects, helping the team balance innovation, velocity, and precision. Partner cross-functionally with Engineering, Product, and Intelligence teams to translate ambiguous mission statements into technical solutions. Define and track metrics for progress and impact, ensuring that every model matures from experimentation to product, delivering quantifiable value. Be a coach, technical leader, and mentor - develop talent, guide architecture, and help your team unblock and level up. Push Strider's technical boundaries - propose new methods, prototype novel architectures, advocate for scalable AI systems, and share learnings that move us all forward. What You Will Need to Be Successful 6+ years of hands-on data science experience, including production-grade model development. 2+ years of leadership experience with direct ownership of teams and project delivery. Deep expertise in Python; experience with a search infrastructure (e.g., Elasticsearch), graph-based methods, or distributed data frameworks (Spark, Ray, etc.) is a strong plus. Demonstrated success building AI-augmented workflows, tools, or data services that scale across use cases. Proven ability to take a nebulous question, frame it as a technical problem, and deliver a working system that people actually use. You know when to go deep and when to ship. Curiosity that borders on obsession - you read papers, explore new methodologies, test new tools, and challenge yourself because you love it. Relentless pusuit of excellence. Why Join This Team You'll work at the intersection of AI, data science, and intelligence, leading the team in developing systems that power Strider's most critical missions. You'll play a central role in transitioning Strider from smart people solving hard problems to smart systems solving them at scale. You'll have the autonomy to build-teams, architecture, processes-and define the evolution of Strider's AI capabilities. You'll collaborate with a team of motivated engineers, data scientists, and intelligence analysts committed to pushing technical boundaries and redefining what is possible in data-driven intelligence. Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We're actively seeking a talented Data Engineer to join our Pacific Life Team in Newport Beach, CA. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Data Operations Engineer you'll move Pacific Life, and your career, forward by leading and acting as an individual contributor in our Data Ops support team. You will fill Data Operations Engineer role that sits on a team of 15 people in the PL Data division. Your colleagues will include other Data Ops Engineering professionals and you will be interfacing with internal/external, business and IT Stakeholders. How you'll help move us forward: Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an urgent and effective manner. Implementing automated workflows to streamline data collection, processing, and analysis. Monitoring data pipelines to detect and resolve issues promptly. Reducing manual intervention to minimize errors and increase efficiency. ·Promoting a culture of continuous improvement and agile methodologies. Demonstrate adaptability, initiative and inquisitiveness in issues resolution. Ensuring compliance with data governance policies and regulations. Skills in analyzing data to identify trends, patterns, and insights. Design, build, and maintain scalable data pipelines for data extraction, transformation, and loading. Proficiency in languages such as Python and PowerShell for data pipeline management Strong knowledge of SQL for querying, optimizing and innovating databases and managing data. The experience you bring: Bachelor's degree in Computer Science, Mathematics, Data Science or Statistics 5+ years of experience in design, development, and data management 5+ years of experience and proficiency in SQL, ETL, data transformation, and data operations tools (Snowflake, Redshift, Informatica, Matillion, DBT, Python, Control-M) 2+ years of experience with DevOps and CI/CD Effective communication & facilitation; both verbal and written Team-Oriented: Collaborating effectively with team and stakeholders Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: 2+ years of experience in Snowflake and Data Build Tool (DBT), and cloud services Experience with automation, optimization and innovation in data management and batch cycle environments Understanding of data catalogs, glossary, data quality, and effective data governance Financial services domain knowledge Data driven individual with ability to setup effective processes in your sphere of ownership Strong communication with the ability to translate business requirements into technical specification You can be who you are. People come first here. We're committed to a diverse, equitable and inclusive workforce. Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at www.pacificlife.com. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $134,280.00 - $164,120.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.