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Manager, Data Engineering - Hybrid Opportunity This is a hybrid position based at our corporate office in Brentwood, TN, with on-site work required Monday through Wednesday. Overview: Are you passionate about using data to drive better healthcare outcomes? We're seeking an experienced Manager of Data Engineering to lead our efforts in building modern data solutions that empower clinicians, administrators, and executives with actionable insights. In this role, you'll manage a growing team and play a pivotal part in our cloud-first data transformation strategy using Azure technologies, including Azure Databricks. Join us in our mission to improve patient care through data innovation. Responsibilities: Lead and mentor a team of data engineers (onshore and offshore) in building scalable, secure, and high-performing data solutions. Oversee the development and maintenance of our enterprise data warehouse and data lake, aligning them with healthcare data standards and regulatory requirements (e.g., HIPAA). Design and optimize data pipelines using Azure Databricks, Spark, and other Azure data services to ingest, transform, and deliver healthcare data from multiple sources, including EMRs, claims, and patient portals. Collaborate with clinical, operational, and analytics teams to deliver reliable, self-service data and insights. Ensure robust data governance, privacy, and quality practices across the organization. Drive adoption of Agile and iterative development practices within the team. Play a key role in workforce planning, hiring, coaching, and performance management. Communicate data strategy, roadmap, and results clearly to leadership and cross-functional teams. Education/Qualifications: Bachelor's degree in computer science, Information Systems, or a related field (or equivalent experience). 7+ years of experience in data engineering or related roles, with 2+ years in a leadership or people management capacity. Strong background in SQL, data modeling, and ETL/ELT development. Hands-on expertise with Azure Databricks, including: Building Spark-based data pipelines Managing cluster performance and cost optimization Integrating with Azure Data Factory and Data Lake Storage. Deep understanding of Azure cloud architecture and healthcare-specific data challenges. Familiarity with healthcare data formats and standards, such as HL7, FHIR, or claims data. Proficiency in BI tools like Power BI, Tableau, or Sigma. Strong communication skills and the ability to collaborate with technical and non-technical stakeholders.

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a Privacy and Data Protection Program Manager to join our Legal team. Reporting to the VP, Deputy General Counsel, you will play a critical role in developing, managing, and scaling DigitalOcean's global privacy and data protection program. You will ensure compliance with international, federal, and local regulations-including GDPR, CCPA/CPRA, PIPEDA, and other applicable privacy laws-while working closely with teams across the company to embed data protection practices into our operations and culture. What You'll Do: Driving privacy compliance across the organization, including conducting privacy and AI risk assessments, documenting findings, and recommending remediation measures. Managing the Data Subject Access Request (DSAR) process by reviewing requests, coordinating with business functions to fulfill them, and ensuring timely, accurate responses. Ensuring alignment with applicable regulations (GDPR, HIPAA, CCPA/CPRA, CJIS, and others) by maintaining documentation, managing compliance reviews, and providing guidance to stakeholders. Supporting incident response by maintaining records, assisting with investigations, and helping prepare regulatory notifications as required. Designing, developing, and delivering privacy and data governance training programs for both general awareness and role-specific needs. Serving as a trusted liaison across Product, Engineering, IT, HR, Marketing, and Operations to integrate privacy considerations into technology development, procurement, and deployment. Championing continuous improvement in privacy and data protection practices through proactive program management and cross-departmental collaboration. What You'll Add to DigitalOcean: Expertise in privacy compliance: 5-10 years of experience in privacy, compliance, or legal roles, preferably in a global SaaS or technology company. Strong knowledge of regulations: Hands-on experience applying GDPR, PIPEDA, CCPA/CPRA, HIPAA, and other regional or industry-specific privacy frameworks. Proven risk management skills: Experience conducting privacy impact assessments, audits, and compliance monitoring, with the ability to translate findings into practical recommendations. Cross-functional communication: Excellent written and verbal skills, with the ability to simplify complex legal concepts for non-legal stakeholders. Attention to detail with discretion: Demonstrated ability to manage sensitive data and confidential information responsibly. Organizational strength: Skilled at managing multiple initiatives simultaneously in a fast-paced environment. Technical fluency: Familiarity with IT systems, data mapping, databases, and core security concepts (e.g., encryption, pseudonymization, access controls). Preferred experience: Juris Doctor from an accredited law school, international experience with cross-border data transfer rules, and certifications such as CIPP/US, CIPP/EU, or CIPP/C. Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is $83,600.00 - $104,500.00 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. This is a remote role #LI-Remote

About the Team OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem. The Infrastructure Development (InfraDev) team is central to this mission-setting core infrastructure strategy and executing on that vision. From site selection to facility buildout, this team operates at the critical intersection of commercial, technical, strategic, and operational priorities, engaging with teams and executives both inside and outside OpenAI. About the Role We're seeking a seasoned professional to lead sourcing strategy and commercial execution for mechanical infrastructure across OpenAI's datacenter buildouts. As the Strategic Sourcing Manager - Datacenter Mechanical Infrastructure, you will drive high-impact supplier engagement and procurement for mission-critical systems. You will develop sourcing frameworks, negotiate commercial agreements, and ensure successful integration of mechanical systems into complex facility builds-directly shaping how OpenAI scales its supercomputing capabilities. You Might Thrive in This Role If You: Develop and execute global sourcing strategies for datacenter mechanical infrastructure. Lead supplier evaluation, contract negotiations, and commercial execution for critical systems. Build and maintain long-term supplier partnerships to ensure quality, cost-efficiency, and on-time delivery. Collaborate with engineering and operations teams to translate performance requirements into procurement specifications. Oversee supplier manufacturing, quality control, and delivery schedules to align with project timelines. Identify supply chain risks, implement mitigation strategies, and ensure systems meet safety and industry compliance standards. Stay attuned to market developments and emerging mechanical technologies relevant to datacenter infrastructure. Partner with finance, legal, operations, and program teams to align sourcing strategies with budgetary goals. Provide senior leadership with clear reporting on sourcing progress, costs, and risks. Qualifications 10+ years in strategic sourcing, procurement, or project management-preferably involving datacenter mechanical systems or large-scale industrial infrastructure. Proven track record negotiating and managing complex, high-value contracts. Deep understanding of datacenter mechanical architecture, capacity planning, and operational reliability. Experience managing global suppliers and multi-geography projects. Bachelor's degree in mechanical engineering or a related technical field; advanced degrees or relevant certifications are a plus. Preferred Qualifications 15+ years' experience in hyperscale or large-scale infrastructure delivery. Demonstrated success delivering multi-site projects under accelerated timelines. Familiarity with sustainable and energy-efficient mechanical system design and operations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Description: The Philadelphia Department of Public Health (PDGood Morning DianaPH), Division of Disease Control (DDC) is tasked with the operation and maintenance of reportable disease surveillance systems and other key public health databases. DDC uses public health data to prepare for public health emergencies, monitor and track reportable diseases/conditions, respond to disease outbreaks, and provide education to the community on how to stay safe and healthy. Systems under DDC purview include those used by the following program: Immunizations, Acute Communicable Diseases, STD Control and Health Center 1, Public Health Preparedness, and Viral Hepatitis. The Senior Data Analyst role will support data systems, reporting, and informatics within the Division of Disease Control. Responsibilities will include managing the full life cycle of data analytics, providing support to the Epidemiology Program Manager and other DDC epidemiology and informatics staff, and assisting with DDC and PDPH analytics needs. This job involves viewing a CRT or VDT screen 50 to 75 percent of the time. The position may require some travel and occasional participation in off-site functions. The position requires responding to public health emergencies and at times requires rapid turnaround of communications on short notice. This is not remote work. All City and City-embedded employees are required to work full-time from Philadelphia Department of Public Health offices as assigned. Responsibilities: Oversee the full life cycle of data analytics, including requirements gathering, analysis design, data identification, data collection, data transformation, and delivery of results/reporting Create and maintain custom data repositories, including database design and construction Safeguard PDPH DDC protected health information (PHI) Mentor junior team members in coding techniques and best practices Develop, update, and conduct quality control procedures and code checks/validation to ensure integrity of DDC and PDPH systems Collaborate with DDC and PDPH staff to address issues impacting data quality, including but not limited to response bias/aberrant responding, system issues, and data entry & collection errors Develop appropriate statistical models to analyze research data Support senior and junior staff to analyze study data for technical reports, journal articles, and conference presentations Support public health emergency responses Review Division data visualizations in various platforms (Tableau, R-posit/R-Shiny, ESRI) for clarity and accuracy Other duties as assigned Required Skills: Excellent communication skills, both written and oral Ability to communicate about complex topics Ability to understand and manage complex databases Ability to navigate complex data logistics Must be available to work occasional weekends or after hours Must be able to lift 25lbs Experience: 3-5 years of experience in a public health or related field Experience with managing disease surveillance systems or other public health data repositories Experience creating and building dashboards in Tableau, as well as creating datasets for the application 5 years of Immunization Information System (IIS) or related experience preferred Experience with HL7 experience preferred Experience with SQL Experience with SAS/R Experience with data visualization software preferred Knowledge of reportable diseases and immunizations Understanding of interoperability standards Education Requirement: Master's degree in public health, epidemiology, or health informatics Required Qualifications: Ability or willingness to learn to code in SQL Ability to code in SAS Must be available to work occasional weekends or after hours Must be able to lift 25lbs Desired Qualifications: Familiarity with data visualization software Familiarity with cloud computing Familiarity with one major cloud provider: AWS (Amazon Web Services) Azure Google Cloud Platform (GCP) Understand core services like: Compute (e.g., EC2, GCE, Azure VMs) Storage (e.g., S3, Azure Blob, GCS) Networking basics (VPCs, subnets, security groups) DevOps/Automation Tools Exposure to tools like: Terraform, CloudFormation, or Pulumi (Infrastructure as Code) CI/CD tools: GitHub Actions, Jenkins, GitLab CI/CD Scripting: Python, Bash, or PowerShell Knowledge of ONC and CDC Standards Experience with interoperability Experience with grants and budgeting Experience with health IT Familiarity with ACIP recommended immunization schedules Familiarity with IT systems and hardware PHMC is an Equal Opportunity and E-Verify Employer.

ABOUT IDELIC Idelic uses cutting-edge technology and beautifully designed interfaces to help predict and prevent trucking accidents and reduce driver turnover to ensure drivers get home safely each and every night. Our SaaS solutions are radically transforming the way in which the transportation industry manages safety through advanced Machine Learning (ML) and our driver management platform. We believe that people do their best work while part of a culture that fosters inclusion, innovation, professional development, and teamwork. Together, we can fulfill our mission to make our roads and highways safer for everyone. ABOUT OUR TEAM We are a venture-backed start-up company filled with people who are passionate about our product and seek to deliver the best experience for our clients. At Idelic, we're committed to our mission, our customers, our teammates, and fostering a "work hard, play hard" culture. Considering joining our team? You will be a part of an engaging, energetic, and entrepreneurial work environment headquartered in the heart of the technology boom within Pittsburgh, PA. We hire optimistic, results-oriented, innovative, and adaptable individuals with the desire to help our clients and one another succeed. OVERVIEW OF THE ROLE As a member of the Data Services team at Idelic, you will contribute to building and managing our data processing platform. Our vast number of data collectors and integrations provide our customers with unrivaled knowledge of their fleets. The platform must run reliably and efficiently and must make the data accessible in a fast and secure manner. Our Data Services team works closely with customers & integration partners to help them realize their data & pipelining needs, establishing Safety Suite as the hub for all of the fleet's data. Note: Full-remote during COVID restrictions, with preference long-term to be on-site in Pittsburgh; open to remote for the right candidate. WHAT YOU'LL DO Build new integrations, features, and support our Data Services Platform Define internal development processes & practices for scaling our organization Lead & contribute to the development of tools to scale our business and our customers Participate in internal reviews of code, software components, and systems and make data-driven decisions on how they should evolve Communicate effectively and participate with team members in an Agile environment Work on any task and help solve problems when needed - be humble and scrappy! WHAT YOU'LL NEED TO SUCCEED IN THE ROLE 3+ years of experience as a software developer, preferably in an ETL environment Experience with Python, Google Go (Golang), or similar language Experience with SQL, Linux, BASH, git Experience working within AWS and AWS technologies (e.g. EC2, RDS, VPC, etc.) Experience writing unit, integration, and end-to-end test code Proven ability to work in a collaborative and fast-paced environment WHAT WILL SET YOU APART Experience in the Logistics / Transportation industry Experience with a variety of data sources (API, CSV, SFTP, RDBMS, etc.) Experience with distributed technologies like Kubernetes Experience working in an entrepreneurial or enterprise environment THINGS THAT MAKE IDELIC A GREAT PLACE TO WORK Competitive Compensation Package Including Options Medical, Dental, and Vision Insurance Regular Company Outings and Events Personal Choice of Hardware Kickstarter Company Breakfast every Monday / Lunch Served up Every Friday A Dynamic and Supportive Environment Professional Development Opportunities Be Part of a Small Team (to Start)- Which Translates To You Having A Big Personal Impact Please forward qualified resumes to: https://idelic.com/company/careers/ TYPICAL PHYSICAL DEMANDS The physical demands that are described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to speak, hear and to see. The employee is regularly required to stand and sit. The employee is regularly required to practice manual dexterity sufficient to operate standard office equipment. Specific vision abilities required by this job include close vision and distant vision. WORKING CONDITIONS: While performing the duties of this job, the employee is exposed to standard office equipment. The noise level in the work environment is generally moderate. Occasionally called upon to work hours in excess of the employee's normal daily schedule. Idelic is an equal opportunity employer. Our success depends heavily on the effective utilization of qualified people, regardless of their race, ancestry, religion, color, sex, age, national origin, sexual orientation, gender identity, disability, veteran's status, or any characteristic protected by law.

The Position The Data Reviewer is responsible for ensuring the completion, quality, and compliance of laboratory data and reports produced within the Quality Control (QC) team. This includes the technical review of analytical testing data and related notebooks, forms, logbooks, and more as specified by Standard Operating Procedures (SOPs). This position will evaluate data to ensure compliance with analytical methods, specifications, Good Laboratory Practices (GLP) or Good Manufacturing Practices (GMP) standards. This position will manage deadlines for review completion and aid in the organization and maintenance of data. The ideal candidate will have experience with analytical testing, either in performance or technical review. Responsibilities: Evaluate QC laboratory data for compliance with analytical methods, protocols, specifications, and SOPs. Review sample analysis results for completeness and accurate representation of the data and report findings. Communicate with QC laboratory staff to proactively address the quality of laboratory documentation. Prepare statements noting deficiencies with the analytical data set or notebooks and reports deficiencies to the project leader for correction. Conduct SOP review and writing as well as conducts consultations for quality records. Work cross-functionally to harmonize data review practices and produce a consistent product. Perform other duties as assigned. Requirements: Bachelor's degree in Chemistry (or related scientific field). 2+ years' relevant experience (pharmaceutical CMO/CRO). Knowledge of cGMP and cGLP guidelines for contract manufacturing and analytical laboratories and ICH/FDA guidance documents. Strong verbal and written communication skills and ability to work with diverse professionals in a matrix environment. Solid organizational skills with ability to adapt to changing priorities and deadlines.

Cin7 is a fast-growing global software company that provides solutions for modern-day product sellers. We help these sellers keep track of their inventory at scale, and help them sell their products across multiple sales channels around the world. Cin7 is expanding very quickly with a mission to become the leading Inventory Management Software brand in the world, and we are looking for a motivated and driven individual to join the team. As a Senior DBA / Data Engineer, you will be responsible for the design, implementation, and ongoing management of data infrastructure across cloud environments (PaaS and IaaS). You will ensure the performance, integrity, security, and availability of our databases and data pipelines. This role requires deep expertise in Microsoft SQL Server, Azure SQL, and data integration frameworks. You will work closely with software engineers, analysts, and platform teams to support data-driven decision-making and ensure the reliability of our enterprise data systems. Duties & Responsibilities: Design, deploy, and maintain secure and scalable database environments, primarily in Microsoft SQL Server and Azure SQL. Monitor and optimize database performance, query efficiency, and storage management. Manage backup, restore, high availability (HA), and disaster recovery (DR) strategies. Design and build scalable ETL/ELT pipelines using tools such as Azure Data Factory, Microsoft Fabric Dataflows, or Databricks. Work with stakeholders to understand data needs and deliver robust data integration solutions. Manage Azure data solutions including Azure SQL, Synapse Analytics, Cosmos DB, Microsoft Fabric, and Blob Storage. Develop infrastructure-as-code (IaaC) scripts using Terraform to provision and manage data services. Implement automation for monitoring, patching, and deployment of data infrastructure across cloud environments. Enforce data security, encryption, and access control policies across all data layers. Mentor junior DBAs and data engineers, sharing knowledge and driving best practices in data architecture and engineering. Competencies & Role/Education Requirements: Experience: 6+ years in a DBA or data engineering role with enterprise-scale systems. Database Expertise: Advanced knowledge of Microsoft SQL Server and Azure SQL. Familiarity with PostgreSQL or other relational databases is a plus. Moreover, hands-on experience with Cosmos DB for globally distributed NoSQL scenarios would be an advantage. Data Integration: Strong experience in ETL/ELT design, implementation, and optimization across both batch and streaming data. Cloud & IaC: Hands-on experience with Azure data services including Azure SQL, Cosmos DB, Azure Synapse Analytics, and Microsoft Fabric. Proficiency in infrastructure-as-code using Terraform. Performance Tuning: Deep understanding of query optimization, indexing strategies, execution plans, and performance tuning in both traditional RDBMS and distributed databases like Cosmos DB. Scripting & Automation: Proficiency in T-SQL, PowerShell, and Python for automating database operations, data pipelines, and monitoring solutions. Collaboration: Excellent communication and interpersonal skills, with the ability to convey complex data concepts to both technical and non-technical stakeholders. Certifications: Relevant certifications are highly desirable. Why Work For Us? We are a fast growing business going through a huge amount of growth. You'll have the opportunity to work on products that are used by our global customer-base and at the same time you'll be growing your career and developing new skills. You'll also be receiving: Work From Anywhere for 30 days in a six month period Celebrate your birthday with a paid day off A Global Cin7 Day celebrated companywide, providing you a dedicated holiday to focus on your own wellbeing. Medical Insurance on successful completion of probation Recruitment referral bonus Work for a Great Place to Work Why CIN7? CIN7 is a leader in one of the most exciting software verticals right now, and we're growing exponentially. We're looking to add people to our team who are passionate about working with a fast growth tech company. At CIN7, we make great products available to everyone. Every month, millions of sales orders flow through our platform reducing the cost, effort and time for product sellers so they can quickly get products to customers and build their brands without worrying about their operations. We pride ourselves on providing Inventory Management and Supply Chain software to help medium-large product businesses thrive in a highly competitive, digital world. CIN7 centrally manages inventory across multiple locations and channels, connecting 500+ systems to support receiving, selling and shipping stock. We value diversity at Cin7, and bring people into the heart of everything we do. We hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers' critical path of progress by making them smarter, faster and more efficient. Job Summary & Responsibilities SALES OPERATIONS DATA ANALYST Job Summary: As part of the Sales Operations team, the Sales Operations Data Analyst 1 provides strategic and/or tactical support to the sales organization by creating, implementing and administering software tools & business processes that increase the efficiency and effectiveness of the organization. Focus areas include the order fulfillment process from forecast through revenue recognition, metric tracking & analysis, and tool forecasting/planning. This position requires understanding critical data requirements for Onto Innovation business to operate efficiently, knowledge of the order fulfillment process and ERP systems, and dedication to the excellence and accuracy. Roles and Responsibilities: Extract and Analyze data from source systems, identify anomalies, identify root cause to provide insight to decision-makers. Identify and interpret trends and patterns in datasets to locate influences. Generates forecasts and analyzes trends in sales, finance and other areas of business Acts as a liaison between the IT development group and business units for the development and implementation of new systems and enhancement of existing systems. Plans, monitors and manages internal projects from initiation through completion Maintains and monitors the organization's databases functionality and security, including database support tools, database tables and dictionaries, recovery and backup procedures Collaborates with technology/infrastructure staff to resolves issues related to information flow and content Develops and maintains documentation of business system use cases and provides training to users. Coordinate with IT business applications team and business users to develop business requirements and specifications documents for reports and dashboards Create dashboards and reports to communicate actionable data trends and issues Identify and resolve data reporting issues in a timely fashion Creates specifications for reports and analysis based on business needs and required or available data elements. Perform ad hoc data requests Required Education and Experience: Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or any other quantitative field 0-2 years of relevant experience, New college graduate preferred Proficiency with Microsoft Office with emphasis on Excel and PBI also required Knowledge of Enterprise Business Intelligence tools (Oracle), order acceptance policies and Data Warehousing a plus. Ability to work on multiple projects simultaneously and manage competing priorities Highly analytical and quantitative, with strong attention to detail Self-starter with excellent written and verbal communication as well as interpersonal skills Ability to work independently as well as work collaboratively toward a common goal Ability to work with colleagues across time zones (Asia/Europe) Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or any other quantitative field 0-2 years of relevant experience, New college graduate preferred Proficiency with Microsoft Office with emphasis on Excel and PBI also required Knowledge of Enterprise Business Intelligence tools (Oracle), order acceptance policies and Data Warehousing a plus. Ability to work on multiple projects simultaneously and manage competing priorities Highly analytical and quantitative, with strong attention to detail Self-starter with excellent written and verbal communication as well as interpersonal skills Ability to work independently as well as work collaboratively toward a common goal Ability to work with colleagues across time zones (Asia/Europe) Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Purchase Program (ESPP) along with health & wellness initiatives. We provide a collaborative working environment along with resources, and state-of-the-art tools & equipment to promote success; and a welcoming, inclusive corporate culture where individuals are recognized for their contributions. Onto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. For positions requiring access to technical data, Onto Innovation Inc., Inc. may have to obtain export licensing approval from the U.S. Department of Commerce- Bureau of Industry and Security and/or the U.S. Department of State- Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community. The Role We are looking for a Senior Data Scientist to help build the next generation of Asset Performance Monitoring AI. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with data, in all its forms, including data mining, mathematical modelling, cognitive computing, expert systems, and emerging LLM-based and agentic AI techniques. You will leverage your skills and passion for machine learning, AI and cognitive computing to drive Emerson's Asset Performance Monitoring strategy by developing ground-breaking software solutions. Your Impact Design and develop new machine learning and AI applications for the manufacturing and process industries Collaborate with customers, product managers, designers, and developers to understand customer needs and translate them into product requirements and specifications Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications Contribute to Emerson's intellectual property footprint in the space of AI Evangelize the capabilities of machine learning and artificial intelligence and represent Emerson as a subject matter expert at select venues Contribute to the roadmap of AI research and take the technical lead in AI research and development projects What You'll Need MS in Science or Engineering, PhD preferred, with a strong quantitative focus, such as AI, Statistics, Computer Science, Data Science, or a related quantitative field. 5+ years of experience in data analysis and software development/programming, History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact. Experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing) Experience in Python programming, including data science specific packages, such as Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn etc. Experience in C++ or C# Experience with LLM, generative AI and agentic AI workflow Track record of academic publications related to data science, AI and/or process optimization. A footprint of public code represented by e.g., a GitHub stack and contributions to open-source packages, is preferred. Experience delivering AI/machine learning applications to end-users Problem-solving ability and attention to details Excellent interpersonal, communication, writing, and presentation skills Demonstrated ability to convey complex information in a clear and concise manner You love seeing your work through to customer impact! #LI-DW1

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. As a Staff Quality Engineer for analytics, you will build a small team of quality engineers who will work inside & outside the organization to define, design, develop, and deliver data model architectures and analytics capabilities that support quality management. This role combines great analytics capabilities with real-world quality improvements. You will do both and lead the investment for the quality organization across the entire company. The right person for this role has knowledge of manufacturing, product development, sub-system performance criteria and metrology while building confidence with engineers and leaders in the company through objective, evidence base, data analysis. You will work across the organization, both at HQ and across the Anduril global sites. If you are someone who loves to build world-class Quality processes, work hands-on, and be accountable for results, then this role is for you. WHAT YOU'LL DO Develop and lead quality engineer's analytics process, including the core analytics, product & process improvements, and strategic data architecture investments. Grow, develop, and lead a small team of quality engineers who will develop and deliver the analytics capability which can be used to coached engineers as well as be used to solve complex problems and support our development teams. Work cross-functionally to define and execute the analytic capabilities and roadmaps to meet our internal and customer quality requirements. Develop and maintain analytics documentation, ensuring accuracy and compliance with quality requirements Lead large, complex data improvement projects driving root cause analysis using various problem-solving tools and methodologies (e.g., 5 Whys, Fishbone Diagram, FMEA, statistical interaction analysis, data pattern recognition analysis, learning models, risk based processes, simulation modeling, etc). Lead product health data analysis and improvement activities with partner engineers for impact. Ability to analyze data and generate insights for scaling quality management processes and quality improvements across hardware products. Design, build, and improve non-conformance management software systems to effectively capture, track, and resolve quality issues. Analyze data and develop insights to scale quality management processes across hardware products. REQUIRED QUALIFICATIONS Bachelor's degree in Engineering or similar technical field Experience in Engineering, Manufacturing, or Quality in aircraft product making and complex production process management. Experience in growing & developing teams and managing resources in a technical, data rich environment. Detail-oriented with strong analytical and organizational skills Working knowledge of quality management practices for aviation/aircraft systems, PCBA, harnessing, avionics, systems integration, composites/control surfaces, propulsion systems, and lethality systems. Experience in creating and maintaining production quality reporting systems to provide accurate and actionable insights into product performance and quality metrics. Experience partnering with Deployment, Manufacturing Engineering, Reliability Engineering, Chief Engineers, Architects, responsible engineers, and customer facing team members to analyze, prepare, and present CAPA findings to defense customers. Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP) elements such as Measurement Systems Analysis (MSA), and Geometric Dimensioning and Tolerancing (GD&T). A strong ownership mindset with demonstrated capability to drive projects from start to completion. Proficiency in database management, including SQL and NoSQL databases, and data modeling Analytical skills and experiences for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, MiniTab, etc). Proficiency in data analysis and the use of data visualization tools such as Foundry, Tableau, Power BI, or similar tools to create clear and actionable visualizations. Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders Must be able to obtain and hold a U.S. TS/SCI security clearance PREFERRED QUALIFICATIONS Master's degree in a technical field 5-7 years of experience with developing quality systems for low volume, high complex manufacturing environments and suppliers. Strong knowledge of CAPA & data processes, quality management systems, and regulatory requirements (e.g., ISO 9001, AS9100). Experience with Teamcenter, SolidWorks/NX, Jira, Foundry, and manufacturing execution systems Ability to adapt to a rapidly changing environment and take on new challenges and responsibilities US Salary Range $191,000-$253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Data Scientist - Sales Compensation Analytics & Dashboards will play a critical role in transforming complex sales and compensation data into actionable insights that drive strategic decision-making across the enterprise. Reporting to the Vice President of Sales Compensation, this role will lead the development of advanced analytics, predictive models, and scalable dashboards to evaluate and optimize sales incentive programs. The ideal candidate is a strategic thinker, a hands-on data expert, and a collaborative partner to cross-functional teams including Sales, Finance, HR, and IT. Key Responsibilities: Advanced Analytics & Modeling Design and implement statistical models to evaluate sales compensation performance and forecast outcomes. Conduct scenario analysis and simulations to support incentive plan design and optimization. Develop predictive models for forecasting, anomaly detection, and risk assessment. Dashboard Development Build and maintain interactive dashboards (e.g., Tableau, Power BI) to visualize compensation metrics, attainment, and payout trends. Ensure dashboards are scalable, intuitive, and aligned with business needs. Data Strategy & Governance Collaborate with data engineering teams to enhance data pipelines and infrastructure. Lead efforts to improve data quality, integration, and governance across compensation systems. Ensure compliance with data privacy, security, and ethical guidelines. Stakeholder Engagement Translate complex data into clear, actionable insights for executive leadership and business partners. Present findings through compelling data storytelling, reports, and presentations. Mentorship & Best Practices Mentor Sales Compensation analysts on analytics and visualization best practices. Promote a culture of data-driven decision-making across the organization. Minimum Job Qualifications: Degree or equivalent and typically requires 7+ years of relevant experience. Critical Skills Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data science or analytics, with a focus on sales compensation or sales performance. Proficiency in SQL, Python or R, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of statistical modeling, forecasting, and machine learning techniques. Experience with sales compensation platforms (e.g., Xactly, Varicent, Anaplan) is a plus. Excellent communication and stakeholder management skills. Experience working in a fast-paced, cross-functional corporate environment. First-Year Success Outcomes: Deliver a suite of executive-ready dashboards that provide real-time visibility into sales compensation performance. Develop and deploy at least two predictive models to support incentive plan optimization. Establish a standardized framework for compensation data governance and reporting. Build strong partnerships with Sales, Finance, and HR to align analytics with business strategy. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $107,900 - $179,900 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

A Career with Point72's Platform Team On our proprietary research team-Market Intelligence-you'll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You'll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us-a majority of the leaders in our group were promoted from within. What you'll do Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex, compliance-approved structured and unstructured data sets. Over your 16-week internship as a member of our Data Engineering team in our New York office, you will: Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of P72's data assets Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers/data scientists/researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof-of-concept evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets What excites you Transforming large, unstructured data sets into valuable investment research inputs Learning and working with industry-leading cloud-computing technologies Speaking with experts both inside and outside our firm to understand data needs and offerings Fast-paced work environments that at times require switching gears to address the needs of the business Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals What excites us Excellent attention to detail, organization, and project management skills Superb business intuition and a solution-oriented, methodological approach to problem solving Ability to collaborate and build relationships across multiple business units within the firm People who "elevate the room" through their work ethic, curiosity, and attitude Adherence to the highest ethical standards and working closely with the firm's Compliance team What's required Commitment of 40 hours weekly from January-April 2025 onsite at our office in New York, NY Recent graduation from or current enrollment in a Bachelor's or Master's degree program Experience or demonstrated interest in big data technologies Solid understanding of computer science fundamentals (data structures, algorithms, etc.) Strong experience in Python development Interest in working with data and big data problems and technologies, such as Spark and Scala Ability to devise novel and innovative solutions to challenges Knowledge of/experience with graph databases is a plus What success looks like Integrity-You demonstrate 100% commitment to the highest ethical standards Ownership-You take charge of your work, uphold your commitments, and always do your best Commerciality-You focus on what matters, ask necessary questions, and are diligent about not wasting time Humility-You welcome and are receptive to feedback and learn from past mistakes Adaptability-You can triage business needs and context switch quickly and efficiently Admirability-You elevate the room through your work ethic, domain knowledge, and work product We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Non-profit matching gift program Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/ . The annual base salary range for this role is $130,000-$155,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. Pay Range: $89,300.00 - $146,900.00 Position Summary: As a Senior Data Analyst - Operations & Supply Chain, you will be a key contributor in driving supply chain agility, operational excellence, and cost efficiency through data. This role sits at the intersection of analytics, business operations, and strategy, supporting teams across manufacturing, planning, inventory management, and fulfillment. You will develop scalable analytics tools and provide actionable insights that directly influence decision-making, with a focus on areas such as inventory optimization, demand forecasting, MRP alignment, and capacity planning. You will work cross-functionally with business leaders, stakeholders, and technical teams to build scalable analytics solutions that optimize our supply chain and operational processes. Key Responsibilities: Develop Advanced Analytics Solutions: Build and maintain dashboards and tools using Power BI, SQL, and Excel to deliver end-to-end visibility across supply chain KPIs including inventory turns, forecast accuracy, OTD, and production throughput. Supply Chain & Manufacturing Analysis: Analyze complex datasets from ERP/MRP systems, demand plans, and production schedules to uncover inefficiencies, delays, and root causes. Drive continuous improvement in areas such as order flow, raw material availability, safety stock, and build plans. Inventory Planning & Forecasting: Support demand and supply planning by building models that improve inventory health, predict shortages or overages, and align stock levels with customer demand and production constraints. MRP System Integration: Partner with planning and operations teams to ensure data models and recommendations align with MRP logic and master data structures. Help shape BOM, lead time, and lot size assumptions to improve planning accuracy. Strategic Insights & Decision Support: Translate data into strategic recommendations for operations and supply chain leaders. Focus on balancing service levels, working capital, and operational cost through better planning and scenario modeling. Automation & Scalability: Design and implement automated pipelines, workflows, and reporting processes that reduce manual work, increase visibility, and enable proactive response to supply/demand variability. Stakeholder Engagement: Act as a thought partner to manufacturing, logistics, and finance stakeholders. Communicate findings clearly and tailor insights to operational, technical, and executive audiences. Mentorship & Collaboration: Provide guidance to junior analysts and support a culture of data fluency across the supply chain team. Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals. Required Qualifications: Bachelor's degree in Supply Chain, Finance, Accounting, Operations, Business Analytics, Industrial Engineering, or related field 6-8 years of experience in data analytics with a strong focus on supply chain, operations, or manufacturing Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting Proven experience with inventory planning, demand forecasting, MRP, ERP systems Experience with predictive modeling, regression analysis, and correlation techniques Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership Proven track record of developing scalable, long-term analytical solutions Strong project management skills with the ability to lead and execute initiatives Strong business acumen and understanding of how supply chain data impacts cost, service, and capacity Strong understanding of financial and operational metrics and how they influence business performance Clear and confident communication skills, including stakeholder-facing presentations Preferred Qualifications: Experience working with Salesforce, Smartsheet, or other business intelligence tools is a plus Experience building dashboards and tools that drive operational execution and planning decisions Experience in a warehouse, manufacturing or production environment Familiarity with production scheduling, capacity planning, and BOM structures Statistical or ML modeling experience for forecast or simulation Knowledge of Lean, Six Sigma, or process improvement methodologies Experience working with cross-functional data (e.g., sales, finance, operations) to enable full-picture decision-making Why Join Bio-Techne: We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield. We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA. We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more. We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging. We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave. We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table. Bio-Techne is an E-Verify Employer in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates extensive abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using GCP services; Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP; Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using GCP; Optimize Cloud resources for cost, performance, and scalability; Possess strong proficiency in SQL and experience with relational databases; Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Possess proven analytical, problem-solving, and communication skill; and, Work independently and as part of a team in a fast-paced environment. Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Data Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None The Opportunity: We are seeking a skilled and motivated Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data in a clear and compelling manner. Responsibilities: Work with cross-functional teams to identify, research, and solve complex analytical problems Analyze large data sets to extract meaningful insights Design, build, and maintain machine learning models and algorithms Collaborate with data engineers to improve data collection and storage Present findings and recommendations to stakeholders in a clear and actionable manner Support the organization's broad-spectrum Data Management requirements including, but not limited to: Data Strategy/ Modeling/ Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance Design, develop, and maintain interactive Tableau dashboards and reports to support business objectives. Integrate Tableau with various data sources, including SQL databases, cloud platforms, and spreadsheets Stay updated on the latest Tableau features, best practices, and emerging BI trends. Qualifications: Required: Active TS/SCI Clearance with a Poly 7+ years experience as a Data Scientist, Data Analyst, or similar role Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or a related field. (e.g., Statistics, Mathematics, Computer Science, etc.). Proficiency in data visualization tools such as Tableau, PowerBI, etc., including, but not limited to: data connection, data manipulation, data visualization Knowledge of statistical analysis methodologies and data visualization tools. Excellent problem-solving skills and attention to detail. Excellent communication and collaboration skills Experience with scripting in Tableau (e.g., automation; troubleshooting; integration, performance optimization) Proficiency in Python, R, SQL, and other relevant programming languages. Experience with data warehousing concepts and relational databases. Experience with machine learning, predictive modeling, and data mining. Ability to work independently and manage multiple projects simultaneously Excellent analytical and problem-solving skills and attention to detail Desired: Tableau Certified Professional - Preferred Current Security+ or DOD 8570 IAT Level II Certification Knowledge of cloud data platforms (e.g., AWS, Azure, Google Cloud). Understanding of data governance and security best practices. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $98,500-$206,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Job Description Infosys is seeking an AWS and Snowflake Data Engineer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Candidate must be located within commuting distance of Raleigh, NC or Richardson, TX or be willing to relocate to the area. This position may require travel in the US Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 2 years of Information Technology experience At least 1 years of AWS experience At least 1 years of Snowflake experience Experience in end-to-end implementation using technologies such as AWS and Snowflake, Strong knowledge and hands-on experience in SQL, Unix shell scripting, and Python Preferred Qualifications: Experience in Banking/Financial domain Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL Sound knowledge of software engineering design patterns and practices Good understanding of Agile software development frameworks Strong communication and Analytical skills Good to have experience in Azure/AWS Databricks Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.

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. Job Description: Staff Engineer - Finance Data Specialist GEICO is seeking Finance Data specialists to support the build out of a Finance Data Warehouse/Lake by partnering with both Finance and Technology teams to redesign the way they use their technologies in managing GEICO's business. This individual must have strong functional and technical Finance Systems background to partner with the Business ensuring effective discussions to drive the capture, transformation, and utilization of Finance data to meet Business goals. The Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data repository to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. The Finance Data Specialist will work with multiple Finance and Technology leaders to support the build out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. This role is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies, a background in ERP and Finance Data Warehouses from both technical and functional aspects and has supported the deployment of best practices leveraging their broad knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is needed to be considered. Position Responsibilities As a Staff Engineer, Finance Data Specialist supporting Finance functions you will: Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Support and try to influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Share best practices and improve processes within and across teams Qualifications 15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle; Workday; SAP or PeopleSoft) 3+ years of experience in implementing and supporting FP&A applications (Preferred) 3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Good understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs Experience working with Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Good understanding of FP&A Budgeting, Planning, and forecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Good understanding of accounting process and reporting expectations to partner with Finance teams Ability to communicate and work directly with users across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 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.

In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for. Job Description: Parsons is seeking a talented Data Procurement Systems Engineer to join our growing team! This role offers a unique opportunity to contribute to a critical mission, leveraging advanced technologies to enhance cyber situational awareness and support national security objectives. What You'll Be Doing: Support the acquisition of hundreds of different data feeds for cyber battlespace awareness in a sensitive Department of Defense (DoD) mission Designing and implementing robust data acquisition systems that can securely and efficiently ingest and process large volumes of data from diverse sources. Work closely with cross-functional teams to ensure that data feeds are integrated seamlessly into our cyber battlespace awareness platform, maintaining the highest standards of data integrity and security. Ensuring that all data acquisition activities adhere to relevant regulations and standards What Required Skills You'll Bring: 10+ years of experience in systems engineering, with a strong background in data acquisition processes, procedures, and security Active TS/SCI with CI Poly A deep understanding of data handling and data security requirements is essential for this role. Familiarity with DoD security protocols and compliance requirements What Desired Skills You'll Bring: AWS certifications Experience in the NC3 mission space Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position. This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now. Salary Range: $144,800.00 - $260,600.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .

Klaviyo's Data Infrastructure pillar is responsible for collectively maintaining a centralized, scalable data store with flexible, low latency reads for all of an organization's customer and related data. As Klaviyo has grown to support over 140k customers globally, the internal Klaviyo Database (KDB) has scaled to process over 2.5B average events daily, storing over 7.3B customer profiles. As the Sr. Director of Product, Data Platform for Klaviyo, you will define and lead the higher order product vision and strategy for the Klaviyo Database (KDB) and operationalize this strategy across multiple teams under your domain leadership. This is a pivotal role that will shape how Klaviyo manages and leverages its vast data assets, directly impacting the ability of our application engineers, data scientists, and business intelligence teams to build innovative products and derive critical insights. You will translate Klaviyo's ambitious data infrastructure goals into actionable product plans, ensuring the KDB meets the evolving needs of internal teams and enables future product expansion. You will lead a team of product managers and collaborate closely with engineering leadership to deliver a centralized, resilient, and performant data solution. This role will also have close alignment with Klaviyo's Enterprise Initiative, ensuring our platform and products can increasingly adapt to growing Enterprise customer needs, establishing and driving impact against cross-functional OKRs. Key Responsibilities: Strategic Vision & Execution: Develop and articulate a compelling 3-5 year product vision and strategy for the Klaviyo Database, aligning it with Klaviyo's overall business objectives and long-term data infrastructure goals. Cross-Functional Leadership: Collaborate closely with engineering, design, marketing, sales, and other departments to refine our product roadmap. Ensure cross-functional alignment and smooth execution of product and business initiatives, including supporting Klaviyo's Enterprise motion. Team Development & Management at Scale: Lead, mentor, and develop a team of product managers and people leaders. Foster a culture of innovation, accountability, and continuous improvement. Customer & Market Focus: Gather insights from customers, market trends, and competitive analysis to inform product decisions. Champion a customer-first mindset, ensuring our products solve real problems and enhance user experiences-whether your customers are internal or external. Operational Excellence: Oversee the product development lifecycle, from ideation to launch, ensuring timely delivery and adherence to quality standards. Implement processes and tools that improve efficiency and streamline workflows. Stakeholder Communication: Clearly articulate product vision, progress, and outcomes to stakeholders, including executives and cross-functional teams. Ensure transparency and alignment across the organization. Performance & Metrics: Define and track key performance indicators (KPIs) to measure the success of product initiatives. Use data-driven insights to make informed decisions and iterate on product strategies. Innovation & Thought Leadership: Stay ahead of industry trends and emerging technologies. Drive innovation within the product team and across the organization, exploring new opportunities to enhance Klaviyo's product offerings. Technical Depth: Demonstrate a deep understanding of technology, architecture, and product development. Engage with engineering teams to address technical challenges, unblock issues, and ensure product scalability and reliability. What We're Looking For: 12+ years in product management, with a proven track record of leading large-scale products and initiatives in a SaaS environment; experience defining and executing product strategies for backend infrastructure teams highly preferred. 7+ years leading and developing product leaders and managers; proven ability to inspire, scale, and transform organizations. Strong technical depth in distributed systems, data platforms, and database technologies, with the ability to engage in architecture discussions and guide technical trade-offs. Track record of shaping company-wide strategy and driving impact across multiple functions. Exceptional executive communication and influencing skills; comfortable engaging with customers, C-suite leaders, and external stakeholders. Excellent analytical skills, with the ability to use data to drive decisions and optimize product strategies. Experience with A/B testing, data analytics, and customer feedback integration. Educational Background: Bachelor's degree in a related field, or equivalent experience. Advanced degrees or certifications in product management, business, or technology are a plus. This is a unique opportunity to lead a foundational product area at Klaviyo, directly impacting our ability to innovate and scale. You will play a critical role in building a centralized, cutting-edge data platform that empowers our entire organization and ultimately delivers immense value to our customers. If you are a visionary product leader with a passion for data and distributed systems, we encourage you to apply. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here