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Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology. What you’ll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder. What you’ll be responsible for: As a Data Analyst at Circle, you’ll work closely with business partners to better understand our products, better understand the ecosystem, and enable better decision-making with data. We are a passionate team with a deeply analytical approach and your work will support our mission to be a world-class company driven by data. If you are curious about data, enjoy deriving insights, have experience improving data insights, and are motivated by impacting business, we want to hear from you. What you'll work on: Partner with the business by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights Perform strategic analysis and research to identify new opportunities where business can be improved Create data visualizations to translate analytic results for broad understanding across the business Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the organization Partner with leaders effectively employing clear and structured communication to tell a “story” focused on business insights & data Develop strategic problem-solving, quantitative analytics, and communication skills What you'll bring to Circle: Senior Data Analyst (III) 4+ years of industry experience in data analytics Bachelor’s Degree or equivalent experience in a quantitative major (Finance, Accounting, Economics, Mathematics, Engineering) Strong analytical and data skills, including top notch SQL skills. Ideally (but not necessary to apply), you will also be able to build simple pipelines to help scale yourself Good communication skills - be able partner across the organization and identify business needs and difficulties, articulate issues clearly and concisely, and present effectively in both oral and written presentations to all levels in the organization Strong business sense and the ability to work through complex and ambiguous business requirements Self-starter - an entrepreneurial spirit that thrives in a fast-paced environment, deals well with ambiguity and focuses on driving impact Prior experience with visualization using Superset, Tableau or similar BI tools Expert in data analyses using SQL Basic understanding of Python is an added advantage Good understanding of statistics and experience applying them to solve business problems Domain experience in one of the following areas: financial services, business banking, product analytics, marketing, crypto ecosystem, or risk analytics Lead Data Analyst (IV) Includes all Senior Data Analyst requirements, plus: 8+ years of industry experience in data analytics Deep understanding of statistics and experience applying them to solve business problems Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: Senior Data Analyst: $122,500 - $162,500 Lead Data Analyst: $145,000 - $192,500 We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation. The Manager, Data Center Operations will be responsible for the effective and efficient operation of the critical infrastructure equipment supporting the Data Centers, direct or indirect supervision of 1-2 assistant managers or leads and/or direct and indirect supervision of 10-20 operations technicians. They have the primary responsibility to ensure that the facility’s power, cooling, and various other subsystems are operating at peak performance, are maintained according to IMDC and Manufacturer’s schedules and recommendations, meet Customer SLA’s in terms of redundancy and uptime, and that these activities are managed in accordance with all regulatory and compliance frameworks. This position is in a 7x24 environment with on call and call in requirements and responding outside of normal business hours will be required. The location will be: 1680 Touhy Avenue Des Plaines, IL 60018 Responsibilities: Manage multiple data center facilities, critical equipment and operations teams. Development of method of procedures (MOP), Standard Operating Procedures (SOP), and Emergency Operating Procedures (EOP), to support a 100% uptime mission critical environment. Manage the operations, maintenance and repair of equipment such as CRAHs, AHUs, Chillers, Pumps, Cooling Towers, UPS’s, Generators, Automatic Transfer Switches, Switchgear. Supervise and schedule external vendors, electrical, mechanical, construction and low voltage contractors, to ensure that maintenance is completed and projects are done safely and with 0 downtime, and that all IMDC operational procedures are being followed. Build and develop a diverse skilled team of facilities technicians, to support multiple mission critical environments. Review staff’s performance, identify training needs, develop training plans, and plan training sessions to improve quality of service and staff development. Ensure Data Center facility complies with public utility, environmental, Federal, State, City and County, and other agencies as required. Ensure compliance with OSHA, EPA and fire/life/safety requirements. Develop the annual budget, ensure budget adherence, including oversight of Opex and Capex procurement and monthly spend forecasting. Respond as an escalation point to the after hours on-call rotation. This will include managing the investigation, mitigation, and recovery of the issue(s) to completion. Key Skills, Requirements and Competencies: High School Diploma or equivalent required. Six (6) to ten (10) years’ experience in a critical operations environment. Data center experience preferred, electrical maintenance experience required. Technical (Military/Trade School) training and/or six (6) plus years’ relevant experience preferred. Have a thorough knowledge of mechanical, electrical, controls and building systems. Understanding and ability to read complex mechanical and electrical drawings. In depth mechanical knowledge, for operating, servicing and replacing parts on air handlers, pumps and pipes, and troubleshooting the critical infrastructure Ability to analyze and solve problems at their root, stepping back to understand the broader context to ensure we provide the best service to our customers possible. Have knowledge of the theory of operation of: Generators, double conversion UPS, transformers, circuit breaker panels, switchgear, centrifugal pumps, variable frequency drives, remotely actuated valves, cooling towers, chillers (including the refrigeration cycle), and heat exchangers Familiarity with the procedures for performing hot work on energized electrical panels including OSHA safeguards and protective equipment Knowledge of the theory of data center fire detection and suppression Able to demonstrate the ability to take ownership of technical issues brought to them by the customer. If they are unable to resolve certain issues by themselves, can demonstrate a willingness to actively engage other support teams to drive it to resolution. Up to 10% travel may be required Reasonably expected salary range: $104,800.00 - $139,700.00 Category: Operations Group

Job Description: We are seeking a meticulous and detail-oriented Data Entry Clerk to join our team. The ideal candidate will be responsible for inputting, verifying, and maintaining accurate records of various types of data. This position requires exceptional attention to detail, efficiency, and the ability to work independently. Responsibilities: Inputting, updating, and maintaining accurate data into databases, spreadsheets, and other electronic systems. Verifying data accuracy and resolving discrepancies. Organizing and maintaining documents and files in a systematic manner. Assisting with data cleanup and quality assurance initiatives. Generating reports and summaries as required. Collaborating with other team members to ensure data integrity and completeness. Following established procedures and protocols to ensure compliance with data privacy and security regulations. $25 - $45 an hour Requirements: High school diploma or equivalent; additional education or certification in data entry or related field is a plus. Proven experience as a data entry clerk or similar role. Proficiency in typing and data entry skills. Excellent attention to detail and accuracy. Strong organizational and time management skills. Ability to work independently with minimal supervision. Proficiency in Microsoft Office Suite (Excel, Word, Outlook). Familiarity with database management systems and software applications. Strong communication skills, both written and verbal. Ability to maintain confidentiality and handle sensitive information appropriately. Preferred Qualifications: Experience with specialized data entry software or systems. Previous experience in a similar industry or environment. Familiarity with data analysis and reporting tools. Ability to adapt to changing priorities and multitask effectively. Benefits: Competitive salary and benefits package. Opportunities for career growth and advancement. Positive and collaborative work environment. Flexible work schedule options (if applicable). Training and development opportunities.

Job Description: We are seeking a meticulous and detail-oriented Data Entry Clerk to join our team. The ideal candidate will be responsible for inputting, verifying, and maintaining accurate records of various types of data. This position requires exceptional attention to detail, efficiency, and the ability to work independently. Responsibilities: Inputting, updating, and maintaining accurate data into databases, spreadsheets, and other electronic systems. Verifying data accuracy and resolving discrepancies. Organizing and maintaining documents and files in a systematic manner. Assisting with data cleanup and quality assurance initiatives. Generating reports and summaries as required. Collaborating with other team members to ensure data integrity and completeness. Following established procedures and protocols to ensure compliance with data privacy and security regulations. $25 - $45 an hour Requirements: High school diploma or equivalent; additional education or certification in data entry or related field is a plus. Proven experience as a data entry clerk or similar role. Proficiency in typing and data entry skills. Excellent attention to detail and accuracy. Strong organizational and time management skills. Ability to work independently with minimal supervision. Proficiency in Microsoft Office Suite (Excel, Word, Outlook). Familiarity with database management systems and software applications. Strong communication skills, both written and verbal. Ability to maintain confidentiality and handle sensitive information appropriately. Preferred Qualifications: Experience with specialized data entry software or systems. Previous experience in a similar industry or environment. Familiarity with data analysis and reporting tools. Ability to adapt to changing priorities and multitask effectively. Benefits: Competitive salary and benefits package. Opportunities for career growth and advancement. Positive and collaborative work environment. Flexible work schedule options (if applicable). Training and development opportunities.

About VuMedi: VuMedi is a leading video education platform for healthcare professionals, offering expert-driven content across medical specialties. Our mission is to provide doctors with the most up-to-date, high-quality education to improve patient outcomes. We're growing rapidly and seeking a talented Principal Data Analyst to join our dynamic team. Position Summary: The Principal Analyst at VuMedi will play a key role in driving data-driven decision-making across the organization. This position will be responsible for conducting complex data analyses, creating reports, and providing insights to support business operations, product development, and strategic initiatives. The Senior Analyst will lead data/analytic efforts among various stakeholder teams, including product, marketing, and finance, to ensure that data informs all aspects of decision-making. Key Responsibilities: Data Analysis & Reporting: Analyze large datasets from multiple sources (internal platforms, web analytics, financial data) to identify trends, generate actionable insights, and produce regular and ad-hoc reports. Strategic Insights: Provide recommendations based on data analysis to support business growth, product enhancements, and user engagement strategies. Collaboration: Work closely with cross-functional teams, including product, sales, and operations, to understand their needs and provide data-driven insights. Dashboards & Visualization: Build and maintain dashboards and data visualization tools to monitor key performance indicators (KPIs) and track the success of various initiatives. Process Improvement: Identify areas for automation and efficiency improvements in data collection, processing, and analysis. Market Research: Conduct competitive analysis and market research to inform business strategy and development. Mentorship & Guidance: Act as a subject matter expert, providing mentorship and guidance to junior analysts and data teams. Leadership: Provide analytics thought leadership around key initiatives, and participate in scoping out larger analytics projects. Qualifications: Bachelor's degree in data science, statistics, economics, business analytics, or a related field. Master's degree preferred. 7-10 years of experience in data analysis, business intelligence, or a related field, preferably in the healthcare, tech, or education industries, at least 3 of those in a senior position. Proficiency with SQL, Python, R, or other analytical tools for data manipulation and analysis. Strong experience with data visualization platforms (e.g., Tableau, Power BI, Looker). Proven ability to handle and analyze large datasets, with excellent attention to detail. Strong problem-solving skills and the ability to synthesize complex data into clear, actionable insights. Excellent communication skills, with the ability to present findings to both technical and non-technical audiences. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Preferred Skills: Experience in the healthcare or medical education industry. Familiarity with cloud platforms (AWS, Google Cloud) for data storage and processing. Knowledge of A/B testing, predictive analytics, and statistical modeling.

About CareScout Services: Join us on a mission to simplify and dignify the aging experience. We are the children, siblings, neighbors, and friends of those navigating the fragmented and confusing system of long-term care. Our team is ferociously curious and relentless in our pursuit of a better system – and we are deeply committed to a sense of belonging for all, in all phases of life. We’re creating a new experience for care seekers and their families, bringing together long-term care options, resources, education, and human support into one place. We work hard, we have fun, we care about each other, and we share the mission. If this sounds like a place where you could thrive, join us! CareScout is a division of Genworth Financial, Inc, a Fortune 500 provider of products, services and solutions that help families address the financial challenges of aging. Job Summary: The Director of Data Engineering will lead the development and execution of our data strategy, with a strong focus on building and leveraging a robust data lake on the Azure platform. This role will be instrumental in enabling advanced analytics, driving marketing integrations, and fostering a data-driven culture. The ideal candidate will have deep technical expertise in Data Engineering and a proven track record of delivering impactful data solutions that enhance marketing effectiveness and overall business performance. Responsibilities: Strategic Data Leadership: Develop and implement a comprehensive data strategy aligned with business objectives Identify opportunities to leverage data for competitive advantage, particularly in marketing and customer engagement. Provide thought leadership on data trends, technologies, and best practices.. Develop and implement an enterprise data model & data dictionary to standardize our reporting needs. Data Lake Development and Management: Design, build, and maintain a scalable and secure data lake on Azure. Design and build scalable ETL pipelines, establish data ingestion, transformation, and storage patterns. Architect data warehouse schema (Star, Snowflake, Galaxy) Optimize data lake performance and ensure data quality and integrity. Establish balancing and reconciliation queries to ensure Data warehouse is stable after failures, numbers and records match to expectations to ensure quality, consistency and availability Enabling the business to leverage Artificial Intelligence and Machine Learning: Work with the product managers, and the business stakeholders to identify opportunities to use AI/ML solutions. Stay abreast on trends in AI/ML Ensure data availability and quality Establish data governance for ML – Define & Implement policies and procedures that ensure quality, consistency and security for ML models Manage data pipelines for ML Address data privacy and ethical considerations Collaborate with data scientists and engineers Establish ML model lifecycle management – develop process for model development, deployment, monitoring and maintenance. Enable model operationalization (MLOps)- adopt MLOps practices to manage process Measure and monitor ML model performance: Establish metrics and processes for measuring and monitoring the performance of ML models in production Marketing Data Integration and Activation: Lead the integration of marketing data from various sources (CRM, marketing automation platforms, and other operational systems) into the data lake. Enable the use of data lake data for targeted marketing campaigns, customer segmentation, and personalized experiences. Collaborate with marketing teams to develop and implement data-driven marketing strategies. Oversee the activation of data to marketing platforms, and ensure a smooth flow of information. Data Governance and Compliance: Establish and enforce data governance policies and procedures, ensuring compliance with relevant data privacy regulations. Implement data security measures to protect sensitive data within the Azure environment. Define and manage data access controls and permissions. Data Analytics and Insights: Partner with analytics teams to leverage the data lake for advanced analytics, reporting, and business intelligence. Promote the use of data analytics to drive informed decision-making across the organization. Project Execution Develop project plans and estimates Develop milestones, and identify risks Establish project control and communicate progress, risks and mitigation plans Team Leadership and Collaboration: Build and lead a high-performing data strategy team with expertise in Azure data services. Hire coach and mentor staff and contracting team members Collaborate with cross-functional teams, including product management, marketing, operations, sales, and analytics, to achieve data-related objectives. Manage relationships with vendors. Plan and manage budget Qualifications: Bachelor's degree in computer science, data science, or a related field (Master's degree preferred). Minimum of 10 years of experience in data strategy, data engineering, or a related field, with a focus on Azure data services. Proven experience building and managing data lakes on the Azure platform. Strong expertise in Data Lake technologies such as Databricks or Azure Synapse, or Snowflake. Experience with marketing data integration and activation. Strong understanding of data governance, data security, and compliance principles. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Experience in managing globally distributed teams of data engineers as staff and contractors Desired Skills: Experience with Databricks or Snowflake or Azure Syanpse/Fabric Experience in Extract Transform and Load (ETL) tools like Fivetran or others like Azure Data Factory, AWS Glue, Apache airflow Hands-on experience in architecting data warehouse using Star, Snowflake or Galaxy schema Proficiency with at least one cloud platform (Azure, AWS, or GCP) Experience in data security Strong understanding of relational databases (MySQL, Postgress, SQL Server, MongoDB) Advanced SQL skills Experience in data dictionary, data quality and lineage tools Experience in machine learning frameworks: Pytorch, MLFlow, and or Tensorflow Experience with marketing automation platforms (e.g., Iterable, Dynamic 360). Experience with CRM platforms (e.g. Dynamics 365). Experience with API integrations. Experience with data visualization tools like Power BI or Tableau Experience with Data visualizations tools such as Power BI. Understanding of ML concepts and algorithms (supervised learning, unsupervised learning, deep learning) Understanding of ML Ops best practices Understanding of API concepts with experience in integrating data from diverse sources Experience in Metadata Management, and Data Modeling For candidates based in the New York City Metropolitan area, the base salary pay range for this role starts at a minimum rate of $190,000 up to the maximum of $240,000. An employee’s pay position within the base salary pay range will be based on several factors at the time of this job posting including but not limited to geographic location, experience, and qualifications. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 20% of your base compensation. The final determination on base pay for this position will be based on multiple factors to ensure pay equity within the organization. WHY CARESCOUT SERVICES? • We have a real impact on the lives of the people we serve • We work on challenging and rewarding projects • We give back to the communities where we live • We offer competitive benefits including: o Medical, Dental, Vision, Flexible Spending Account options beginning your first day o Generous Choice Time Off your first full year o 12 Paid Holidays o 40 hours of volunteer time off o 401k Account with matching contributions o Tuition Reimbursement and Student Loan Repayment o Paid Family Leave o Child Care Subsidy Program

Overview: Schedule: Full-time, Monday-Friday (Day Shift) Work environment: Hybrid position upon completion of probation. Job Description Summary: Analyzes data to identify patterns and trends, interprets results, and provides insights to support business decisions. Job Description: Essential Functions: Analyzes large datasets to identify trends, patterns, and insights. Develops and maintains databases and data systems to ensure accuracy and integrity. Collaborates with cross-functional teams to identify business needs and provide data-driven solutions. Creates reports and visualizations to communicate findings to stakeholders. Cleans and preprocesses data to ensure it is ready for analysis. Stays up-to-date with industry trends and best practices to continually improve data analysis processes. Education Requirement: Bachelor's Degree in Statistics, Health Informatics, or related field, required. Master's Degree in Business Administration, Healthcare Administration,or related field, preferred. Licensure Requirement: (not specified) Certifications: (not specified) Skills: (not specified) Experience: Two years of experience in healthcare data analysis or equivalent, required. One year of experience in SQL and other programming languages, required. Physical Requirements: OCCASIONALLY: Lifting / Carrying: 0-10 lbs, Standing, Walking FREQUENTLY: (none specified) CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Repetitive hand/arm use, Seeing – Far/near, Sitting Additional Physical Requirements performed but not listed above: (not specified) "The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"

***Please note: This is not a cybersecurity role. This technical specialist focuses on the physical security systems/tech stack (CCTV, Access Control, biometric scanners, etc).*** We are seeking a Security Systems Technician (aka Global Security Systems Specialist) to support our physical data center security systems/tech stack, both onsite at our Sterling, VA data center and remotely for other CyrusOne data centers globally. This role will primarily focus on installations, maintenance, and troubleshooting of security hardware and software systems to ensure high service availability. The ideal candidate will have experience in physical security technologies, including access control systems, video surveillance, intrusion detection, and alarm monitoring. They must possess strong problem-solving skills, a proactive approach to system improvements, and the ability to collaborate and effectively communicate with cross-functional teams. Maintaining high uptime and service metrics is critical to this role. Responsibilities: Technical Support & Troubleshooting Technical support and troubleshooting of physical data center security systems such as: CCTV, Access Management, Intrusion Detection, Biometric Scanners, etc. Handle incoming security system tickets in Zendesk, ensuring timely resolution while maintaining system integrity. Work with vendors and internal teams to resolve system outages and service disruptions. Maintain service-level agreements (SLAs) and uptime metrics to ensure operational excellence. System Maintenance & Upgrades Perform routine maintenance, firmware updates, and patch management for security devices. Assist with small-scale installation projects, including adding or replacing security devices. Ensure documentation is up to date for all security assets and system configurations. Monitor system performance and proactively identify areas for improvement. Process Improvement & Optimization Analyze system performance and provide recommendations for improving uptime and efficiency. Collaborate with internal stakeholders to enhance security system effectiveness. Document recurring issues and develop knowledge base articles for internal reference. Training & User Support Conduct training sessions for onsite teams to improve troubleshooting capabilities. Provide guidance to security personnel on system usage and best practices. Develop and maintain user guides and SOPs for security technologies. Qualifications: 3+ years of experience in a technical support role focused on physical security systems. Hands-on experience with access control systems, CCTV (IP-based & analog), and intrusion detection systems. Experience working in data center environments or in other types of high-security facilities. Understanding of ITIL processes for service management preferred. Education/Certifications: No degree required Certifications in security technologies (e.g., CCURE, Genetec, Access Control, etc) is a plus Work Environment: Work Schedule: Working hours are Monday to Friday, 8:00 am to 5:00 pm, with on-call responsibilities for emergencies and critical issues. Physical Demands: The position involves significant physical activity, including standing for extended periods, lifting up to 50 pounds, and frequent bending and climbing ladders CyrusOne is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. CyrusOne provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. We will respond to requests for reasonable accommodations to assist you in applying for positions at CyrusOne, or to submit a resume.

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Manager, IT Data Center Operations will lead a talented and diverse technical support team, ensuring the seamless support of multiple core business functions and services. As a key member of the Data Center Operations team, you will oversee the delivery of exceptional services to our clients through a 24x7x365 Enterprise Service Desk. This includes Incident Management, Monitoring, Call Center support, and Tier 1 technical support for NTT Customers and Employees. Your responsibilities will also encompass the delivery of Data Center services such as Remote Hands and Eyes, and Cross Connects, all aimed at maintaining the highest levels of service delivery, client satisfaction, and business continuity. In this management role, you will be responsible for the day-to-day operations of your team(s), providing guidance and mentorship while fostering a collaborative and high-performing work environment. What you'll be doing ESSENTIAL DUTIES & RESPONSIBILITIES Input duties and responsibilities. The most critical / primary duties / most frequently performed should be listed first. Please use clear language and avoid using acronyms or terminology unless it has been defined. KNOWLEDGE, SKILLS & ABILITIES Lead, mentor, and develop the 24x7x365 Service Desk team, including Service Desk Technicians, IT Data Center Technicians, and Supervisors. Foster a positive and collaborative work environment, promoting continuous improvement, knowledge sharing, and teamwork. Provide support and technical guidance to 24/7 teams, including developing training plans and materials for the Service Desk Team, and facilitating cross-training. Enforce policies, processes, and procedures to ensure timely and accurate support is provided by the Service Desk Team. Oversee the performance of the Service Desk team to maintain the highest levels of service delivery, including monitoring and reviewing KPIs and SLAs. Oversees and monitors the performance of assigned computing systems through subordinates and ensures systems are managed to client SLA requirements. Respond to incidents during and after business hours, ensuring the incident management process is followed, including problem management. Collaborate with internal teams to develop, complete, and maintain incident reports. Responsible for resource planning and work allocation to meet agreed service levels and identifies opportunities for continuous service improvement. Ensures any routine and emergency administration of hosted systems and sub-systems in accordance with standard procedures and processes. Contribute to or generate management reports and present reports during service review meetings. Monitor the Service Desk performance to maintain the highest levels of service delivery. Collaborate with other teams and stakeholders to investigate, diagnose, and resolve complex issues. Manages client incidents by investigating and providing solutions that help solve client problems as escalated. May participate in any technical troubleshooting calls including participation in technical QA review. Identify areas for improvement and enforce strategies to enhance operations. Contributes to production of scheduled management reports and attends and presents reports at service review meetings. Ensures QA and measurement of vendor compliance with negotiated and guarantee service levels and delivery targets. Work with the Sr. Manager of Data Center Operations and Finance to develop and track annual budgets. Manage budget, staff planning, NPS feedback, and operation efficiency, etc. Other duties as assigned. KNOWLEDGE, SKILLS & ABILITIES Strong background in I.T. Data Center Infrastructure (Servers, Switches, Cabling). Data Center Knowledge of cable plants, racking, power connectors and technologies. Ability to be highly confidential. Knowledge of the principles of service management as defined in the ITIL framework. Working knowledge of enterprise ticketing systems. Knowledge of managed services products within the IT field. Knowledge of data center and collocation products and services. Possess strong leadership, organizational development and communication skills. Possess strong problem solving, conflict resolution and critical thinking skills. Process driven individual capable of managing and scaling team responsible for consistent, high quality service delivery to enterprise client base. Must have the ability to work independently and be an effective contributor to a diversified team. Sense of ownership and accountability. Familiarity with data trending / tracking and analysis and ability to rapidly learn and use PC based, integrated critical monitoring systems. Excellent customer service skills. Excellent verbal and written communications skills. Must be detail oriented, organized, flexible and ability to handle multiple priorities simultaneously. Strong proficiency with MS Office Suite (Word, Excel, PowerPoint, Project). Must possess demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT. Ability to conduct power system capacity, safety and code compliance assessments. Ability to train the Service Desk Team on systems and procedures. Ability to operate in and promote a rigorous process-driven, team environment. Ability to logically analyze and solve problems. Detailed oriented. Analytical thinking, problem solving, customer oriented, and commitment to quality. Excellent problem-solving skills. List the minimum knowledge, skill, or capabilities required to perform the work associated with this role. This should include any technical, application, certification, specialization, etc. that an incumbent requires to perform all duties. #GlobalDataCentersCareers #LI-NP1 EDUCATION & EXPERIENCE High School Diploma required. Bachelor’s degree required or equivalent education and work experience to meet requisite skill level, normally obtained with 4-6 years of related experience. MCSE or 2 years of Helpdesk Experience 3-4 years of experience working in a Helpdesk, NOC, or Service Desk. 2-4 years of management experience working in a IT Operations responsible for providing support to revenue-generating customers. Familiarity with technologies associated with top call reasons including Active Directory, Azure, Office 365, MS Office suite, Outlook, Windows operating systems, VPN, wireless connectivity, and remote access. Familiarity with HDI and ITIL best practices. Experience managing a geographically disparate Service Desk and/or remote employees; including personnel and scheduling. Outline the minimum education required, and / or experience an incumbent must have to perform the work. If experience is in lieu of a degree or certification, list the minimum required experience an individual must have to have gained similar knowledge without required education. Be sure to mark preferences clearly. PHYSICAL REQUIREMENTS Ability to lift heavy equipment, up to 50 lbs. Primarily sitting with some walking, standing, and bending. Able to hear and speak into a telephone. Close visual work on a computer terminal. Dexterity of hands and fingers to operate any required to operate computer keyboard, mouse, and other technical instruments. Regularly moves equipment and other hardware up to 50 lbs. Frequently move about inside and outside of data center / facility Remain stationary for long periods of time. Ascend / Descend a ladder and perform duties atop a raised platform. Position self in small spaces. Operate computer, peripherals, and other office equipment. Perform work during US business hours and time zones. WORK CONDITIONS & OTHER REQUIREMENTS Typical data center work environment with varying temperatures and loud noises. Extensive daily usage of a computer or workstation. Must be comfortable working in a highly critical, fast paced environment with shifting priorities. Must be able to respond to emergency situations at the data center. Must be available by phone during assigned work schedule and after hours for emergency situations. Must be willing to work outside normal business hours, including weekends, late nights, holidays and on-call support. Participate in a on call schedule and respond to escalations and incidents after hours. SPECIAL REQUIREMENTS May travel to other NTT domestic sites as needed. Must work on-site; telecommuting is not permitted. CPR/First Aid/AED Certification during employment. A valid driver's license is required for onsite leaders with direct reports to support employee transportation and meet company needs. This position requires work to be done onsite at a data center facility and may require use of a personal mobile device. A monthly stipend will be provided to cover expenses incurred for using a personal device, if applicable. NTT Global Data Centers Americas, Inc. offers competitive compensation based on experience, education, and location. Base salary for this position is $ 124,600 - $ 155,700. All regular full-time employees are eligible for an annual bonus; payout is dependent upon individual and company performance. Employees receive paid time-off, medical, dental, and vision benefits, life and supplemental insurance, short-term and long-term disability, flexible spending account, and 401k retirement plan to create a rich Total Rewards package. Workplace type : On-site Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Tennessee Oncology, one of the nation’s largest, community-based cancer care specialists, is home to one of the leading clinical trial networks in the country. Established 1976 in Nashville, Tennessee Oncology’s mission remains unchanged: To provide access to high-quality cancer care and the expertise of clinical research for all patients, at convenient locations within their community and close to their home. Our growing network of physicians and locations is based on this mission. Tennessee Oncology is committed to advancing both the science of detection and targeted treatments, and to making these advances available to every patient. We believe caring for cancer patients is a privilege. Why Join Us? We are looking for talented and highly-motivated individuals who demonstrate a natural desire to support the meaningful work of community oncologists and the patients we serve. Job Description: The Research Data Coordinator is responsible for collecting, transcribing, and transmitting clinical data for multiple investigational drug studies performed. This role provides accurate data in a timely manner for pharmaceutical sponsors. Key Responsibilities and Duties Input data from electronic medical records (EMR) and other relevant documents into the electronic data collection system (EDC) within the required contractual timelines. Address sponsor study team queries within the EDC, ensuring responses meet contract deadlines. Communicate effectively with nursing staff to ensure timely internal query resolution. Schedule, prepare for, and attend monitoring visits, including closeout visits, by ensuring all data is current and all queries have been addressed prior to the review. Provide regular updates to the Clinical Trial Specialist (CTS) on the status of data and queries and escalate any issues promptly. Submit protocol deviations in accordance with contract timelines. Review, redline, and file confirmation and follow-up letters from monitoring visits. Meet data management deadlines as set by both internal and external teams. Ensure the protection of patient rights, safety, and welfare throughout the trial. Foster positive and professional relationships with clinic staff, clients, and administrative personnel. Maintain required certifications in Good Clinical Practice (GCP) and Good Documentation Practice (GDP). Uphold a professional demeanor, always respecting patient dignity and confidentiality. Ensure consistent attendance and punctuality in reporting to work. Maintain a professional appearance and attitude. Proactively identify and resolve trial-related issues with minimal guidance. Perform job duties with an understanding of how your work impacts other team members and areas related to the project. Required Skills and Qualifications Bachelor’s Degree (preferred) or a minimum of 1-2 years of experience in a healthcare or research related field Excellent organizational, communication, and time-management skills Ability to manage multiple projects simultaneously and work effectively under tight deadlines Microsoft Office product knowledge (Word, Excel, PowerPoint, SharePoint and OneNote) Working knowledge of medical and pharmaceutical terminology

Description Perform data cleaning and ensure the accuracy and quality of data within the Intellectual Property databases. Design various utility scripts in R and Python for model analysis. Utilize tools such as Tableau and PowerBI to visualize data, presenting findings as charts, maps, and other graphics. Communicate data insights effectively to the IP team, managers, and executives through reports and presentations. Collect data from IP docketing system. Analyze docketing data to identify trends, patterns, and opportunities for process optimization to improve patent and trademark prosecution efficiency. Collect and categorize data from annuity payment system, generate data reports, and analyze reports to facilitate expense saving. Perform patent award data analysis. Analyze and benchmark industry’s award to improve invention disclosures from various engineering functions. Conduct patent & trademark prosecution expenses analysis and identify areas for improvements inside IP team and/or outside (US and non US) patent & trademark law firms. Lead internal coordination efforts to compile and provide "proof of use" evidence for company trademarks in collaboration with external law firms (US and non US). Conduct aged issued patent analysis and their possible applications to image sensor products. Develop summarization algorithms to support patent analysis. Participate in reviewing Invention Disclosure Forms (IDFs). Offer insights to motivate engineer, enhancing IDF submission numbers. Effectively present technical insights to the patent committee with engineer, aiding in the clear articulation of new inventions. Job Requirements: Master’s degree in Operations Research, Industrial Engineering, Mathematics, or related fields. Required knowledge or skills of: Demonstrated knowledge of study designs and statistical analysis conventions. Analyzing data to answer business questions. Presenting and reporting analysis result with visualization tools, such as Tableau and Excel. Proficiency in Python and familiarity with machine learning tasks. Schema design and dimensional data modeling. Familiarity with algorithm design for modeling and analytics. Software applications with computer vision techniques, motion sensor, and statistical analysis methods. Ensuring the accuracy, quality, and integrity of data. #LI-DNI Annual base salary for this role in California, US is expected to be between $148,699 - $150,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.

Data Integration Architect - Medicaid Location: Remote About Us : Known for “Delighting the Client” through performance, innovation, and an employee-centric culture, S2Tech is a fast-growing IT consulting company serving clients in over a quarter of the United States. We are widely recognized as a leading provider of both technical and business services in support of Health and Human Services related projects. Feel free to learn more at www.s2tech.com . Why S2Tech? : Stable privately-owned company with a strong reputation for building long-term client relationships through the delivery of consistent value-based service 25+ years providing IT and Business services to private customers and government programs throughout the United States Expansive client portfolio and active projects – employees benefit from innovative project exposure and in-house skill development training/courses Corporate culture that emphasizes the importance of family and promotes healthy work-life balance Offer competitive pay and a range of benefits including: Medical / Dental / Vision Insurance – insurance premium assistance provided Additional Insurance (Life, Disability, etc.) Paid Time Off 401(k) Retirement Savings Plan & Health Savings Account Various training courses to promote continuous learning Corporate Wellness Program Be part of a company that gives back through its non-profit organization, Fortune Fund, which was launched in 2001. The goal of the Fortune Fund is to close the rural/urban divide by ensuring children in rural communities in India and the United States understand the importance of education & are aware of professional career opportunities allowing them to link their professional & educational goals Job Overview : We are seeking a Data Integration Architect to lead the design, implementation, and optimization of data integration solutions within our Medicaid and healthcare IT environments. This role is pivotal in ensuring seamless data exchange across systems, improving interoperability, and supporting analytics and decision-making. The ideal candidate will have extensive experience with data integration technologies, ETL processes, APIs, and cloud-based solutions, with a strong understanding of Medicaid data structures and regulatory requirements. In this role, you will contribute to large-scale implementation projects—either directly leading the integration of technology platforms or supporting the project through oversight and governance in a PMO capacity. Responsibilities : Data Integration Strategy & Architecture : Develop and implement enterprise-level data integration strategies to ensure efficient data flow across Medicaid and healthcare systems Design and oversee the ETL (Extract, Transform, Load) processes, API frameworks, and data pipelines that enable real-time and batch data exchange Define data architecture principles, standards, and best practices for system interoperability and scalability Implementation & Oversight : Lead data integration efforts for system modernization, ensuring compatibility with Medicaid Enterprise Systems and regulatory compliance (HIPAA, FHIR, etc.) Collaborate with cross-functional teams to align integration solutions with business needs and technical requirements Provide technical oversight and governance in a PMO capacity, ensuring data-related project deliverables meet security, performance, and compliance standards Evaluate and optimize existing data integration processes to enhance efficiency, reliability, and scalability Technical Leadership & Innovation : Stay current with emerging data integration technologies, including cloud platforms (AWS, Azure, GCP), middleware solutions, and AI-driven automation Recommend and implement modern data integration tools, such as API gateways, streaming platforms, and master data management (MDM) systems Define data governance frameworks, ensuring high data quality, security, and compliance across integrated platforms Collaboration & Stakeholder Engagement : Partner with business and IT leaders to identify data integration needs and drive alignment between enterprise architecture and operational goals Work closely with state agencies, healthcare providers, and technology vendors to enhance data-sharing capabilities Mentor and support internal teams in data integration best practices and troubleshooting methodologies Qualifications : Governmental Social Services Experience : Minimum of three (3) years of professional experience with Title IV-A (Temporary Assistance for Needy Families) and/or Title IV-D (Child Support Enforcement) programs Electronic Document Management Experience : At least two (2) years of experience managing electronic document management services Project Management Experience : Proven experience managing large-scale projects, including cross-functional teams and complex operational processes Education and Leadership : Bachelor’s degree from an accredited college or university Project Management Professional (PMP) Certification : PMP certification from the Project Management Institute (PMI) or an equivalent project management certification Agile or Lean Six Sigma Certification : Certifications in Agile project management or Lean Six Sigma methodologies are a plus, demonstrating the ability to streamline processes and drive efficiency S2Tech is committed to hiring and retaining a diverse workforce. We are an equal opportunity employer making decisions without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.

RegScale is a continuous controls monitoring (CCM) platform purpose-built to deliver fast and efficient GRC outcomes. We help organizations break out of the slow and expensive realities that plague legacy GRC tools by bridging security, risk, and compliance through controls lifecycle management. By leveraging CCM, organizations experience massive process improvements like 90% faster certification times, and 60% less audit prep time. Today’s expansive security and compliance requirements can only be met with a modern, CCM based approach, and RegScale is the leader in that space. Position: We are looking for a forward-thinking AI Data Engineer to join our growing AI team. In this pivotal role, you will be responsible for designing scalable data architectures, ensuring data integrity across systems, and curating high-quality datasets that power our generative AI and machine learning initiatives. You’ll collaborate closely with data scientists, product teams, and engineering stakeholders to enable reliable, secure, and efficient data operations for AI development and deployment. This role is ideal for someone who thrives at the intersection of data engineering and natural language processing, with a deep understanding of data governance, privacy, and the unique demands of building datasets for AI systems. Key Responsibilities: Data Architecture & Schema Design : Design, implement, and manage robust data schemas and pipelines tailored for AI workflows across systems and integrations, including the core application, model training, fine-tuning, and evaluation. Database Design & Data Modeling : Design and maintain scalable, efficient, and AI-optimized data models and database architectures (relational and NoSQL) to support data ingestion, transformation, and retrieval for generative AI and application needs. Dataset Curation : Lead the creation, organization, and versioning of datasets used in model development (structured and unstructured), including data labeling and augmentation workflows. Metadata & Lineage : Develop and maintain data and metadata tracking systems for datasets and AI models, enabling traceability, reproducibility, and responsible AI practices. Data Governance & Security : Enforce data privacy, compliance (e.g., GDPR, HIPAA), and security best practices throughout the data lifecycle. Cross-functional Collaboration : Work closely with data scientists to understand data needs for fine-tuning and experimentation; partner with product teams to ensure data alignment with application requirements. Quality & Validation : Implement automated validation, lineage tracking, and quality assurance mechanisms to ensure data reliability at scale. Tooling & Automation : Build or integrate tools to support data versioning, synthetic data generation, and performance monitoring. Documentation & Standards : Define and promote best practices for dataset documentation, data contracts, and data lineage to ensure consistency and usability across teams. Minimum Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Science, or a related field. Proficiency in Python, SQL, and ETL. Deep understanding of structured and unstructured data handling. Strong grasp of data modeling, metadata systems, and schema evolution. Experience implementing data governance, security, and privacy controls in regulated environments. Familiarity with tools like DVC, MLflow, Hugging Face Datasets, or custom dataset/metadata management systems. Preferred Qualifications: Experience supporting generative AI applications or LLM fine-tuning workflows. Familiarity with synthetic data generation and data augmentation strategies. Working knowledge of cloud platforms (AWS, GCP, Azure) and infrastructure tools like Docker. Exposure to data contracts and API-based data delivery for downstream AI applications. Knowledge of responsible AI, FAIR data principles, or machine learning compliance frameworks.

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest’s headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater (Greater New York City Area), New Jersey, USA, Shanghai (Pudong Zhangjiang New District), China and Taipei, Taiwan. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients’ needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that’s us…that’s Everest. To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Clinical Data Managers for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy. Key Accountabilities: Plan, manage, control, and perform data processing and management activities for assigned projects. These tasks are performed in a timely and accurate manner and in compliance with trial Sponsors’ requirements. Lead assigned data processing and management projects by applying project management skills, data processing, and management techniques. Manage timelines and coordinate activities for assigned projects. Specify database validation checks for assigned studies. Lead efforts in developing and maintaining standard database validation checks for common modules as well as for therapeutic/drug area specific modules. Define and monitor clinical trial dataflow and quality control (QC) processes in accordance to corporate Standard Operating Procedures (SOPs), Good Working Practices, and unit guidelines. Perform clinical trial site monitors’ training on dataflow and QC processes. Design and review patient Case Report Forms (CRFs) and database schema. Test data capture/entry screens. Accurately and efficiently validate electronically captured data. Write clear queries on missing data and data points failing pre-defined range checks and/or logical checks. Lead efforts in building a standard query library for common database modules, as well as for therapeutic/drug area specific modules. Perform QC procedures on assigned database during the trial and additional database closure checks at the end of the study. Train and supervise Data Entry personnel and junior data management personnel on study procedures, study specific handling, and management of trial data. Validate and distribute study progress status reports to internal and external study team members. Assist in resolving data coding discrepancies resulting from the coding of medical events, treatment procedures, and medications. Maintain and prepare for final archival of data management documentation relevant to the assigned clinical trials and assist the corporate archivist in assembling and archiving clinical trial data and study documentation. Cooperate with and assist, when required, data management quality assurance (QA) personnel in performing QA procedures on trial CRFs, database schema, and databases for assigned studies. Qualifications and Experience: A Bachelors’ degree in health and/or pharmaceutical sciences, physical/biological, or chemistry fields with at least 2 years experience in clinical trial data capture and management, or a Master’s or Ph.D degree in these fields with at least 1 year relevant experience. In-depth understanding of clinical trial data management concepts, processes and procedures, relevant issues related to or impacting clinical data management, as well as pharmaceutical clinical trial regulations, industry guidance, conventions and standards. Strong leadership in clinical data management activities and a desire to excel in leading data management projects. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at www.ecrscorp.com We thank all interested applicants, however, only those selected for an interview will be contacted. Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process. #LI-Remote #LI-KD1

Ankura is a team of excellence founded on innovation and growth. Join Our Expert eDiscovery Team at Bright Labs, an Ankura Company Practice Overview: Bright Labs, proudly a part of Ankura, is at the forefront of the eDiscovery industry, having contributed to some of the most significant and globally recognized eDiscovery investigations and litigations. Our eDiscovery team is renowned for its deep expertise and innovative approach, leveraging data, technology, and analytical thought to address complex client issues. We pride ourselves on a unique combination of technical skills, subject-matter expertise, and litigation technology experience, enabling us to deliver comprehensive, creative, and insightful solutions that guide our clients through the intricacies of eDiscovery challenges. The role is located in Chicago, New York, or San Francisco. There will be remote opportunity within these three locations. Role Overview: We are seeking an eDiscovery Associate to join our dynamic team. This role involves applying expertise in forensics, processing, production of Electronically Stored Information (ESI), predictive analytics, machine learning, eDiscovery project management, and technology consulting. Our goal is to enhance case strategies, reduce discovery costs, and optimize litigation profiles by effectively collecting, managing, and analyzing vast amounts of structured and unstructured data. Responsibilities: Collaborate with clients to design efficient eDiscovery workflows. Proactively identify and mitigate risks, ensuring quality control throughout the eDiscovery lifecycle. Solve technological challenges and provide cost-effective solutions. Utilize the latest advances in data science, predictive analytics, and machine learning to transform large datasets into actionable intelligence. Work with a wide range of industry-standard technologies and procedures. What We Offer: The opportunity to work on some of the largest and most recognized global eDiscovery cases. A collaborative environment where creativity and insight are valued. Exposure to cutting-edge technology and methodologies in the field of digital forensics and eDiscovery. A supportive team that fosters professional growth and development. Qualifications: BA/BS in MIS, Business Analytics, Computer Science, Law, Engineering, Finance, Accounting, Economics, Information Technology, or similar degree. Experience with digital forensics, eDiscovery, processing, and production of ESI a plus. Interest in applying detail-oriented project management skills and cutting edge solutions involving analytics and machine learning to novel data. Excellent problem-solving abilities and a proactive approach to challenges. Strong communication skills and the ability to work collaboratively with clients and team members. Join us at Bright Labs, an Ankura Company, and contribute to shaping the future of eDiscovery. Apply now to become part of our expert team! For individuals assigned and/or hired to work in California, Colorado, or New York, Ankura is required to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the said markets and considers a broad range of factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The range does not include additional benefits outside of salary. At Ankura, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each role. A reasonable estimate of the current base pay range is between $50,000 to $120,000; this range is not a promise of a particular wage. #LI-Remote #LI-NT1 * Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment options, innovative technology, and dedicated client service. We focus on making choices clearer, transitions smoother, and the client experience more delightful. Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our clients, be an excellent business partner, and earn the trust of those who rely on us. The Role Great Gray is looking to add a Senior Data Engineer on our Data Science and AI team . As a Senior Data Engineer, you will play a crucial role in building and maintaining the data infrastructure that powers our Analytics Hub platform. You will design, build, and optimize data pipelines that ingest, transform, and deliver critical financial and operational data to support business reporting and analytics capabilities across the organization. Location This position will work from our Boston, MA office. Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Visa sponsorship or transfer of an existing visa is not available for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship or transfer. Responsibilities · Design, build, and maintain scalable data pipelines using Databricks, Delta Lake, and other modern data technologies · Develop robust ETL processes to ingest data from multiple sources including custodians, financial systems, and operational applications · Implement the medallion architecture (bronze, silver, gold) for data processing and storage · Build and optimize data models for the data warehouse (MS SQL Server) to support analytics and reporting needs · Develop automated data quality checks and monitoring systems to ensure data integrity · Create and maintain API layers for integrating with internal and external systems · Implement Master Data Management (MDM) solutions for funds, plans, and other key entities · Build data services to support document management, client/advisor portal, and other integration needs · Collaborate with business stakeholders to understand data requirements and translate them into technical solutions · Work with the analytics team to optimize data structures for reporting and data visualization tools like Power BI · Mentor junior engineers and establish engineering best practices · Complete other related duties as assigned Qualifications & Experience · Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred · 5+ years of experience in data engineering roles with proven track record of building data platforms · Strong expertise in SQL and data modeling techniques · Experience with Databricks, Azure Data Factory, or similar modern data engineering tools · Proficiency in Python, PySpark, Scala, or similar programming languages for data processing · Experience with building and maintaining data warehouses and data lakes · Knowledge of dimensional modeling and data warehouse design principles · Experience with implementing data quality frameworks and processes · Familiarity with APIs and data integration patterns · Experience with cloud platforms, particularly Microsoft Azure · Understanding of financial or investment data structures preferred · Experience with Master Data Management concepts and implementation · Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. · Comfortable navigating ambiguity. · Entrepreneurial mindset to bring best practice ideas to the team. · Exhibits our Great Gray attributes: Results-Driven, Innovative, Resilient, and Decisive. Benefits We have a comprehensive and competitive benefits package at Great Gray. Some of the highlights are: · Be an integral part of an early-stage, high-growth organization! · Hybrid work environment · Competitive compensation package including 401(k) with elective and non-elective match opportunities · Lifestyle spending allowance program · Medical, Dental, Vision Insurance · Employer-paid life and disability insurance · Generous paid time off program Company Background Great Gray is the leading independent provider of trustee and administrative services to Collective Investment Trusts (“CITs”), with over $200 billion in CIT assets under management, across more than 780 funds. We proudly work with 80 subadvisors, including leading firms such as AllianceBernstein, American Funds, BlackRock, Franklin Templeton, MetLife, Neuberger Berman, PGIM, PIMCO and Raymond James. CITs are more than just an investment vehicle. They represent a forward-thinking approach to retirement planning. These tax-exempt, pooled investment vehicles are offered to employer-sponsored retirement plans, like 401(k)s. CITs are comparable to mutual funds, but, because they are tailored for the institutional retirement market, they can offer distinct advantages, including efficient administration and cost-effectiveness. CITs have a history dating back over 90 years; but they have gained favor over the past decade, driven by innovations, and Great Gray has been at the forefront. Great Gray has consistently delivered year-over-year growth at an above market rate and is investing in the continued development of its core CIT business as well as complementary administrative services and technology solutions for the retirement market. Madison Dearborn Partners (“MDP”) purchased Great Gray from Wilmington Trust in April 2023. As a result, Great Gray is an independent company owned by funds affiliated with MDP. Investor Background MDP is a leading private equity investment firm based in Chicago. Since MDP's formation in 1992, the firm has raised aggregate capital of over $28 billion and has completed over 150 platform investments. MDP invests across five dedicated industry verticals, including basic industries; business and government software and services; financial and transaction services; health care; and telecom, media, and technology services. Equal Employment Opportunity Policy Great Gray, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status or other non-merit factor.

Description Position at BlackBear Professional Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING Data Analyst Job Summary Our growing technology firm is looking for an experienced Data Analyst who is able to turn project requirements into custom-formatted data reports. The ideal candidate for this position is able to do complete life cycle data generation and outline critical information for each Project Manager. We also need someone who is able to analyze business procedures and recommend specific types of data that can be used to improve upon them. Data Analyst responsibilities • Use statistical methods to analyze data and generate useful business reports • Work with management team to create a prioritized list of needs for each business segment • Identify and recommend new ways to save money by streamlining business processes • Use data to create models that depict trends in the customer base and the consumer population as a whole • Work with departmental managers to outline the specific data needs for each business method project. Data Analyst S kills • Bachelor’s Degree in Mathematics or Computer Engineering • 2+ years’ Data mining experience • 4+ years in a data analyst role • Ability to collaborate effectively and work as part of a team • Strong attention to detail "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

About the Company Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries. Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom. The Department: Trust & Safety Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, legal, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection. The Role: Senior Data Scientist As a member of our Trust and Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization. This role is required to be in person twice a week at either our Seattle, WA, New York City, NY, or Miami, FL office. Responsibilities: Process, clean, and visualize data from complex databases and create top-notch reporting solutions Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team Design experimentation frameworks such as decision trees and A/B tests, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates Design, build and enhance data for BI solutions Perform root cause analysis and resolve production and data issues Create test plans, test scripts, and perform data validation Tune SQL queries, reports, and ETL pipelines Build and maintain data dictionary and process documentation Research new tools and technologies to improve existing processes Minimum Qualifications: 5+ years experience in data analytics, or strategy analytics 5+ years experience developing a BI applications (Tableau/Looker/Power BI, etc) Advanced skills with SQL are a must Proficient in Python Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc) Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc) Experienced in working collaboratively across different teams and departments Strong technical and business communication This role may require on call rotations Preferred Qualifications: Proficient in Developing LookML Knowledge and experience of financial markets, banking or exchanges Experience working in small firms or start up technology first It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range : The base salary range for this role is between $126,000 - $180,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our offices in Seattle and Miami. Employees within the New York, Seattle, and Miami metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC, Seattle, and Miami offices increases productivity through more in-person collaboration where possible. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-ES1

Responsibilities:  Enter financial receipt data into Excel  Maintain high accuracy and attention to detail  Organize and verify data for consistency Requirements:  Basic Excel knowledge  Strong typing speed and accuracy  Prior data entry experience preferred  Ability to start immediately