10 jobs found

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

The Manager, Program Management & Analytics is a senior-level role responsible for managing highly complex projects that integrate data analytics, process improvement, and traditional project management. This position ensures projects meet objectives, deliver measurable value, and drive operational and strategic decision-making across the organization. Builds and sustains strong working relationships with internal and external stakeholders through in-person engagement. This position is full time M-F 8am to 4pm with no weekend or holiday hours. Essential Responsibilities: Leads and manages multiple, highly complex projects and project teams simultaneously from original conception through final implementation. Manages project plans, budgets, and schedules to ensure successful project execution and on-time, on-budget delivery. Defines project scope, goals, and deliverables in collaboration with leaders and stakeholders, tracks progres, and identifies/resolves issues related to the project. Utilizes business intelligence and data analytics to gather insights, drive data-backed decision-making, and improve operational efficiency. Designs, develops, and maintains data visualization dashboards using tools like Tableau to monitor key performance indicators (KPIs), track project benefits realization, and present complex information clearly to stakeholders. Applies advanced proficiency in Microsoft Excel for detailed data analysis, modeling, and reporting. Leads efforts in process mapping and workflow analysis to identify bottlenecks, inefficiencies, and opportunities for continuous improvement within operational and project delivery processes. Develops and implements standardized operating procedures (SOPs) informed by data insights to optimize processes and governance. Leads project team meetings, develops a clear vision of project objectives, and motivates the team to achieve peak performance. Acts as a central liaison and single point of contact for multiple projects, effectively communicating with and managing stakeholder expectations at all levels of the organization. Leads teams, provides staff development mentorship, and facilitates team members' growth in project management and analytical skills. Serves as a visible accessible point of contact for stakeholders during all project phases. Conducts on-site observations, walk throughs and assessments as needed to support project success. Recruits, develops, and motivates staff; initiates and communicates personnel actions including employment, performance reviews, and disciplinary actions. Performs other duties as assigned Job Specification: Bachelor's degree in a work-related discipline/field (e.g., Business, Data Science, Operations Management, Finance, or equivalent) from an accredited college is required. Master's degree highly desirable. Minimum of five (5) years of progressive responsibility in project management or a related analytical/operations role. Minimum of three (3) years of experience directly leading and managing complex projects and cross-functional teams. Proven expertise in data analysis, process mapping, and dashboard development. Advanced proficiency in Microsoft Excel and experience utilizing data visualization tools such as Tableau. Flexibility to adjust on-site schedule based on project phases and stakeholder needs. Strong interpersonal and communication skills, with comfort engaging stakeholders face-to-face. Demonstrated ability to analyze data, write analytical reports, make executive-level presentations, and lead high-stakes meetings. Certifications in Six Sigma, Lean, PMP, or Business Analysis (CBAP) are desirable but not required. Covid vaccine preferred but not required. Flu shot required. EEO Statement Element Care is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, sexual orientation, protected veteran status, or on the basis of disability. Element Care is committed to valuing diversity and contributing to an inclusive working environment. Compensation details: 00 Yearly Salary PI7d4e2b7a5-

WHAT WE CAN OFFER YOU: Estimated Salary: $125,500 - 180,000, plus annual bonus opportunity. 401(k) plan with a 2% company contribution and 6% company match. Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details. Applicants for this position must not now, nor at any point in the future, require sponsorship for employment. WHAT YOU'LL DO: Lead and develop a high performing Business Intelligence team by overseeing staffing, performance management, coaching, compensation administration, and compliance with employment and affirmative action guidelines while fostering an engaged, equitable work environment. Provide strategic and operational leadership for business intelligence initiatives, including data quality, data availability, analytics, reporting, and enterprise data management standards across source systems and the data warehouse. Direct and oversee complex BI and analytics projects, guiding teams to identify business needs, leverage existing solutions, manage resources, and deliver results aligned to business priorities, timelines, and enterprise architecture standards. Partner with business and technology leaders to support strategic and operational planning, develop tactical plans and metrics, estimate resources, and recommend technology and process solutions to meet current and future business needs. Ensure data governance, regulatory compliance, and advanced analytics execution, including oversight of data models, industry and regulatory filings, data discovery, predictive modeling, and collaboration with Compliance, Regulatory, and I/S partners. WHAT YOU'LL BRING: Demonstrated people and project leadership experience, including managing teams, coaching and developing talent, and leading large scale, project oriented initiatives in highly data driven environments while driving accountability and results. Strong executive level communication and influence skills, with the ability to lead complex, cross functional projects, present insights to senior leadership, and build trusted partnerships across business, technology, and external stakeholders. Advanced analytical, quantitative, and business intelligence expertise, including experience building data models, dashboards, and visualizations, applying segmentation, clustering, predictive modeling, algorithms, and emerging AI driven analytics to support strategic decision making. Deep knowledge of business intelligence platforms, data management, data quality, and enterprise BI technologies, with 5+ years of experience developing reports and visualizations in Tableau and translating complex data into actionable insights through scalable reporting and analytics solutions. Solid understanding of data governance, privacy, and regulatory requirements (e.g., HIPAA, Patriot Act, and applicable privacy laws), with the ability to align BI and analytics solutions to organizational strategy across Finance, Customer Service, Product, Marketing, Sales, and IT. You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do. Ability to work at our home office located in Omaha, Nebraska, in a hybrid environment We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! If you have questions about your application or the hiring process , email our Talent Acquisition area at . Please allow at least one week from time of applying if you are checking on the status. Stay Safe from Job Scams Mutual of Omaha only accepts applications from . Legitimate communications will come from We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs . Stay alert for scams and apply securely! Fair Chance Notices

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

Senior Manager, Enterprise Integration Austin Community College Job Posting Closing Times: Job postings are removed from advertising at 12:00 A.M. on the closing date e.g., at midnight on the day before the closing date. Austin Community College employees are required to maintain a domicile in the State of Texas while working for the college and throughout the duration of employment. - AR 4.0300.01 If you are a current Austin Community College employee, please click this link to apply through your Workday account . Austin Community College is a public two-year institution that serves a multicultural population of approximately 41,000 credit students each Fall and Spring semester. We embrace our identity as a community college, as reflected in our mission statement. We promote student success and community development by providing affordable access, through traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area. As a community college committed to our mission, we seek to recruit and retain a workforce that: Values intellectual curiosity and innovative teaching Is attracted by the college's mission to promote equitable access to educational opportunities Cares about student success and collaborates on strategies to facilitate success for populations including; first generation college students, low-income students, and students from underserved communities. Focused on student academic achievement and postgraduate outcomes Welcomes difference and models respectful interaction with others Engages with the community both within and outside of ACC Job Posting Title: Senior Manager, Enterprise Integration Job Description Summary: The Sr. Manager Enterprise Integration is responsible to build and manage enterprise data hub to share the data among multiple systems and Identify silos and bring such data into the main stream and create a strategy for such silo systems. The Manager should also have Data Architect knowledge and able to leading the definition and roadmap for the college's BI Strategy that includes data warehousing, analytical reporting, operational reporting, ETL, data governance, and master data management. Job Description: Description of Duties and Tasks Supervises, trains, coaches, directs, coordinates, and disciplines personnel while adhering to organizational human resource policies and procedures as well as related employment laws. Recommends hire and termination personnel actions for positions supervised. Defines and designs the data warehousing solution and ETL/ELT processes. Works closely with the business to understand the data and provide meaningful analytics to users/customers. Manages Informatica IICS and data projects, performs strategic analysis of data best practices, design databases and data profiling. Supervises the ETL and Informatica Developers. Prioritizes and delegates requests received by the product owner and scrum manager. Communicates with the multiple teams for the data requirement. Analyzes data and develop data architecture. In coordination with Quality Control team, ensures accuracy of standards and procedural documentation related to data. Participates in the definition, implementation, and support of the overall integration strategy. Participates in the selection, design, and implementation of the data hub, the data warehouse, operational data layers, and ETL. Participates in meeting with customers, gathering requirements, and working with developers to provide solutions to end users. Provides technical leadership to other members of the Business Intelligence Team. Participates in BI product evaluations and business decisions to ensure fit and scale into the platform and the organization. Participates in an energetic team of experienced people in an agile environment. Creates high level and detailed design of current and future state of BI System. Creates architecture diagrams and models of Data, Data Warehouse, and Integration and mapping documents with high level design. Knowledge Familiar with data technology design, implementation, or consulting in one or more of the following areas: Enterprise Data Warehouse Business Intelligence Reporting & Analytics Tools Cloud Platforms Data Lake and Big Data Artificial Intelligence Familiar working with enterprise architecture or solution architecture frameworks, methodologies, templates, and tools. Extensive knowledge in good data modeling techniques. Competent in MS SQL Server, Oracle SQL, stored procedures, and other SQL. Unidata experience a plus. Knowledge of best practice for Data Quality Management, Master Data Management and near real time data warehousing. Experience with ETL/ELT tools such as Informatica IICS Suite. Skills Maintaining an established work schedule. Effectively using interpersonal and communications skills including tact and diplomacy. Effectively using organizational and planning skills with attention to detail and follow-through. Outstanding analytical and problem-solving abilities. Presentation skills with a high degree of comfort with both large and small audiences. Ability to take complex concepts and create models for discussion, evaluation, and collaboration. Excellent oral and written communication skills. This includes the ability to explain technology concepts to business leaders, as well as business concepts to technologists, and the ability to sell ideas and processes internally at all levels. Ability to work independently and be self-motivated, committed and detail oriented. Ability to understand and follow instructions precisely. Maintaining confidentiality of work-related information and materials. Establishing and maintaining effective working relationships. Experience in strategic technology planning and execution, as well as policy development and maintenance. Knowledge and skills in SQL (structured Query language). Technology Skills Use a variety of spreadsheet, word processing, database, and presentation software. Use query and control languages, administer applications, and provide technical support to end users. Skills in modelling tools such as ERWIN, Embarcadero, Visio, and LucidChart. Preferred Work Experience Experience with modern databases such as SQL Server, Oracle, or DB2. Experience in modern analytics platforms such as Tableau, SAS, Domo, Microsoft Power BI. Hands on experience with ETL using leading ETL vendor software such as Informatica cloud (IICS) Suite, DataStage, Micrsoft SSIS. Hands on experience with SQL and ETL Tuning. Required Education Bachelor's degree. Special Requirements Reliable transportation for travel in the Austin area as required. Safety Supervise safe operation of unit. Facilitate safety inspections. Take reasonable and prudent actions to eliminate identified hazards. Ensure employees receive appropriate safety training and foster a workplace safety culture. Salary Range (PG 127) $99,155 - $123,943 Number of Openings: 1 Job Posting Close Date: January 22, 2026 Clery Act As required by the US Department of Education, employees are required to report violations under Title IX and, under the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act), select individuals are required to report crimes. If this position is identified as a Campus Security Authority (Clery Act), you will be notified, trained, and provided resources for reporting. Disclaimer The above description is an overview of the job. It is not intended to be an all-inclusive list of duties and responsibilities of the job, nor is it an all-inclusive list of the skills and abilities required to do the job. Duties and responsibilities may change with business needs. ACC reserves the right to add, change, amend, or delete portions of this job description at any time, with or without notice. Employees may be required to perform other duties as requested, directed, or assigned. In addition, reasonable accommodations may be made by ACC at its discretion to enable individuals with disabilities to perform essential functions of the job. To apply, please visit: Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-bfd995ade5e166469e657654d06007eb

Job Title: Manager-Cyber Security Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293947 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. The Office of Information Technology (OIT) provides information technology leadership and support to the Georgia Institute of Technology, working in partnership with academic and business units to meet the unique needs of a leading research university. OIT serves as the primary source of enterprise-wide information technology and telecommunications services in support of students, faculty, staff, and researchers. Location Atlanta, GA On-site Department Information The Security Operations Center (SOC) Manager leads a modern, risk-driven SOC operating under aFederated Attack Surface Management (ASM) and Continuous Exposure Management (CEM) model. This role integrates attack surface visibility, exposure intelligence, detection engineering, and incident response into a unified operation focused on measurable risk reduction rather than alert volume. The SOC Manager translates technical exposure data into actionable business risk, drives cross-functional collaboration, and ensures security operations align with enterprise priorities and threat realities. Job Summary The Manager of Cyber Security is responsible for developing and implementing comprehensive cybersecurity strategies to protect the institution's information systems and sensitive data. This role involves leading a team of cybersecurity professionals to monitor, assess, and respond to security threats while ensuring compliance with relevant regulations and best practices. Additionally, the manager collaborates with various departments to promote cybersecurity awareness and establish protocols that safeguard the institution's digital assets. Responsibilities Job Duty 1 - Develop and implement cybersecurity policies and procedures to protect the institution's information systems and data from unauthorized access and breaches. Job Duty 2 - Lead a team of cybersecurity professionals in monitoring network activity and identifying potential security threats and vulnerabilities. Job Duty 3 - Conduct regular security assessments and audits to evaluate the effectiveness of existing security measures and identify areas for improvement. Job Duty 4 - Manage incident response efforts, coordinating investigations of security breaches and implementing remediation plans to mitigate risks. Job Duty 5 - Provide cybersecurity training and awareness programs for faculty, staff, and students to promote a culture of security within the institution. Job Duty 6 - Stay informed about emerging cybersecurity threats and trends, adjusting strategies and practices to address new risks effectively. Job Duty 7 - Work with external partners and regulatory bodies to ensure compliance with relevant laws, regulations, and industry standards in cybersecurity. Job Duty 8 - Prepare and present reports on cybersecurity metrics, incidents, and initiatives to senior leadership, demonstrating the effectiveness of the institution's cybersecurity posture. Job Duty 9 - Collaborate with Information Technology and academic departments to ensure that all technology initiatives comply with cybersecurity standards and best practices. Job Duty 10 - Perform other duties as assigned. Responsibilities Key ResponsibilitiesLead SOC detection, triage, investigation, and incident response using risk-based prioritizationEnsure SOC workflows are informed by current attack surface, asset, and exposure intelligenceOperationalize ASM and CEM as foundational inputs to security operationsEnsure alerts and investigations are mapped to known assets, ownership, and exposure contextPartner with ASM, vulnerability management, and engineering teams to drive exposure remediationOperate effectively within a federated security model, establishing SLAs, OLAs, RACI, and risk acceptance processesCollaborate across IT, cloud, network, endpoint, identity, and application teams to reduce systemic riskProvide strategic oversight of detection engineering lifecycle and coverage alignment to threat modelsDemonstrated experience leading automation-first security operations, leveraging ASM, exposure intelligence, and SOAR to reduce manual effort and improve risk outcomesStrong understanding of automated triage, enrichment, alert suppression, and response orchestration, including human-in-the-loop controlsProven ability to measure and improve automation effectiveness using risk-aligned metrics and continuous improvement practicesDefine and report risk-aligned SOC metrics and deliver executive-level security narrativesDevelop SOC talent across incident response, exposure analysis, detection engineering, and automationRequired Qualifications Educational Requirements Bachelor's degree in related discipline or equivalent, related experience. Other Required Qualifications The job requires one who is task and detail orievented; flexible, and able years perform multiple, various tasks concurrevently. Excellevent communications skills are required as well as the ability years troubleshoot and solve problems that are varied y nature. Required Experience 5+ years of relevant experience; 3+ years of supervisory knowledge. Preferred Qualifications Additional Preferred Qualifications Certified Information Systems Security Professional (CISSP), GIAC Certified Incident Handler (GCIH) Preferred Educational Qualifications Master's degree in related discipline or equivalent, related experience. Preferred Experience Seven years of related experience Preferred Qualifications Preferred QualificationsExperience transforming a traditional SOC into a risk-based or Fusion SOCBackground in detection engineering, threat hunting, or security analyticsFamiliarity with Lean, Six Sigma, ITIL, ITSM, or similar operational frameworksExperience supporting audit, compliance, or regulated environments7-10+ years in cybersecurity operations, incident response, or detection engineering3-5+ years leading SOC, IR, or security operations teams in enterprise or federated environmentsStrong knowledge of ASM, CEM, SIEM, XDR, SOAR, and detection engineering conceptsFamiliarity with vulnerability management, cloud and SaaS exposure, and identity riskProven ability to influence without authority and communicate risk effectively to executivesProposed Salary $152,167 Knowledge, Skills, & Abilities SKILLS Ability to partner with many stakeholders to deliver security risk management services USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization . click apply for full job details

Space Data Manager School of Medicine, Stanford, California, United States Information Analytics Dec 18, 2025 Post Date 107709 Requisition # The mission of the Office of Facilities Planning and Management (OFPM) in the School of Medicine is to plan for and manage the facilities needs of the School of Medicine community in the areas of facilities operations, capital planning and budgeting, projects from programming through occupancy, space inventory, and facility assets. In pursuit of this mission, the department is seeking a Space Data Manager who will oversee and manage space data analytics and reporting for the School of Medicine (SoM). The Space Data Manager will serve as the primary contact and subject matter expert on all SOM space and occupancy information. This position actively participates in strategic space planning and presents SoM space analyses and recommendations to various senior leadership space and planning committees. This position is a hybrid position. Duties include : Serve as primary contact and subject matter expert on all SoM space and occupancy information. Serve as subject matter expert for all SoM space data classification, coding, and reporting requests. Create and perform space planning scenario modeling for large SoM planning projects for existing and proposed future locations. Contribute to Stanford Medicine integrated space planning scenario modeling for joint planning projects for existing and proposed future locations. Maintain high level schedule of large planning projects and critical dependencies. Develop and implement a consistent and continuous process across SoM to input and maintain accurate and complete space data in our Stanford University (SU) space data systems. Design and utilize space data reporting to inform in strategic space planning. Utilize reporting to effectively communicate and advocate for School of Medicine interests on various space and planning committees. Utilize considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Provide advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Distribute and disseminate reports to applicable agencies, researchers, management, and other internal end-users. Develop and collect data for space metrics and Key Performance Indicators (KPIs) for the monthly Tableau dashboard. Analyze data for key strengths and trends. Lead annual Space Data Certification process across SoM. Facilitate the annual Inter-entity Reporting process representing SoM. Create tracking system to track all space MOU's involving SU/Stanford Medicine entities. Manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Effectively manage multiple requests from internal and external customers. Lead and supervise the OFPM Space Management Team by managing their professional development and providing strategic direction for driving the implementation of the Space Management team goals. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Experience with space management and/or space planning required. Able to develop insightful business intelligence reports (KPI's, metrics, ad hoc queries) and/or dashboards. Able to examine data problem areas, find process redundancies, and automate or standardize the data collection process. Must have experience in space database management (e.g. Archibus). Advanced Microsoft Office (Excel, PowerPoint, etc.) skills. Experience in AutoCAD, Excel Visual Basic, PLSQL, Oracle Database, OBIEE, Tableau. Have a broad understanding of system integration, database structures, and table field mappings. Previous Stanford or University experience a plus. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Advanced ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Advanced experience utilizing complex statistical tools and techniques. Considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of complexity, quality, and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Effectively manage multiple requests from internal and external customers. Demonstrated experience in leading projects with users/clients. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. Occasionally write by hand, twist, bend, stoop and squat. Rarely stand, walk, reach or work above shoulders and use a telephone. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours during peak business cycles. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $132,498 to $157,989 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a positionupon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information Schedule: Full-time Job Code: 4746 Employee Status: Regular Grade: J Requisition ID: 107709 Work Arrangement : Hybrid Eligible

Job Overview: Architecture & Design Support Support the definition of system and data integration architecture for eCommerce platforms and enterprise systems. Contribute to solution design documents, data flow diagrams, interface specifications, and integration standards. Work with senior architects to evaluate design options and ensure alignment with overall platform strategy. Data Engineering & Integrations Help design and implement data pipelines supporting analytics, tagging, customer data, product information, inventory, orders, and other commerce workflows. Configure and maintain integration patterns such as APIs, streaming, webhooks, batch jobs, and middleware workflows. Participate in building data models, schemas, and event structures that support digital commerce operations. Assist in maintaining data quality, monitoring, governance, and synchronization across systems. Help design and implement data visualization using BI tools such as Microsoft Power BI , Tableau etc. Implementation & Delivery Collaborate with engineering teams to translate integration requirements into technical tasks. Support testing, debugging, and validation of integrations across upstream and downstream systems. Contribute to documentation and knowledge sharing within the team. Ensure solutions meet requirements for security, reliability, observability, and performance. Cross-Functional Collaboration Work closely with product managers, analytics teams, marketing, operations, and customer experience teams to understand data and integration needs. Help clarify data requirements and ensure correct flow of customer, product, and transaction information. Communicate technical concepts clearly to both technical and business partners. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Total Rewards: Salary Range: $71,000 - $115,500 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Requirements: 4-7 years of experience in solution architecture, data engineering, systems integration, or similar roles. Strong understanding of eCommerce ecosystems and how data flows between CRM, CDP, ERP, OMS, PIM, tagging/analytics, and marketing platforms. Experience building or supporting API integrations and event-driven workflows. Working knowledge of data modeling, ETL/ELT pipelines, and cloud-based data infrastructure. Familiarity with digital tagging, analytics measurement, and customer data capture. Strong technical documentation, communication, and problem-solving skills. Ability to work collaboratively within a cross-functional team environment. Preferred Qualifications Experience contributing to large-scale digital commerce or replatforming initiatives. Exposure to headless or composable commerce concepts. Some familiarity with DevOps practices, CI/CD, and cloud-based integration tooling. Understanding of data privacy and compliance considerations (GDPR, CCPA). Relevant industry ceritifications such as Microsoft Azure, AWS, Google Cloud or equivalent Company Overview: Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the single-serve coffee brewing system in North America at KDP, and we have fun doing it! Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us? We strive to be an employer of choice, providing a culture and opportunities that empower our team of 29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.

Job Overview: Architecture & Design Support Support the definition of system and data integration architecture for eCommerce platforms and enterprise systems. Contribute to solution design documents, data flow diagrams, interface specifications, and integration standards. Work with senior architects to evaluate design options and ensure alignment with overall platform strategy. Data Engineering & Integrations Help design and implement data pipelines supporting analytics, tagging, customer data, product information, inventory, orders, and other commerce workflows. Configure and maintain integration patterns such as APIs, streaming, webhooks, batch jobs, and middleware workflows. Participate in building data models, schemas, and event structures that support digital commerce operations. Assist in maintaining data quality, monitoring, governance, and synchronization across systems. Help design and implement data visualization using BI tools such as Microsoft Power BI , Tableau etc. Implementation & Delivery Collaborate with engineering teams to translate integration requirements into technical tasks. Support testing, debugging, and validation of integrations across upstream and downstream systems. Contribute to documentation and knowledge sharing within the team. Ensure solutions meet requirements for security, reliability, observability, and performance. Cross-Functional Collaboration Work closely with product managers, analytics teams, marketing, operations, and customer experience teams to understand data and integration needs. Help clarify data requirements and ensure correct flow of customer, product, and transaction information. Communicate technical concepts clearly to both technical and business partners. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Total Rewards: Salary Range: $71,000 - $115,500 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Requirements: 4-7 years of experience in solution architecture, data engineering, systems integration, or similar roles. Strong understanding of eCommerce ecosystems and how data flows between CRM, CDP, ERP, OMS, PIM, tagging/analytics, and marketing platforms. Experience building or supporting API integrations and event-driven workflows. Working knowledge of data modeling, ETL/ELT pipelines, and cloud-based data infrastructure. Familiarity with digital tagging, analytics measurement, and customer data capture. Strong technical documentation, communication, and problem-solving skills. Ability to work collaboratively within a cross-functional team environment. Preferred Qualifications Experience contributing to large-scale digital commerce or replatforming initiatives. Exposure to headless or composable commerce concepts. Some familiarity with DevOps practices, CI/CD, and cloud-based integration tooling. Understanding of data privacy and compliance considerations (GDPR, CCPA). Relevant industry ceritifications such as Microsoft Azure, AWS, Google Cloud or equivalent Company Overview: Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the single-serve coffee brewing system in North America at KDP, and we have fun doing it! Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us? We strive to be an employer of choice, providing a culture and opportunities that empower our team of 29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.

The Senior Program Manager, BI and Analytics Delivery, drives the successful execution of Integrity's business intelligence and analytics program, ensuring timely and high-quality delivery that creates value throughout the organization. Leveraging your deep knowledge of data and analytics methods and practices is essential for effective management of resources and budgets. As a subject matter expert, you will contribute to the development of operational plans and risk management strategies, ensuring the highest quality and professionalism in service delivery. This role serves as a key liaison between business, IT, and analytics teams, fostering collaboration and transparency. Primary Responsibilities Develop and execute comprehensive project plans, incorporating technical requirements, resource requirements/allocation, and timelines to ensure on-time delivery of data and analytic solutions. Manage day-to-day project schedule, deliverables, and resources, coordinating with cross-functional teams including executive leadership, technology, legal, compliance, human resources, marketing, and business units. Lead project planning and milestone delivery. Identify potential risks and implement mitigation strategies. Collaborate with cross-functional teams to gather requirements, define project objectives, scope, timelines and success criteria in alignment with key stakeholders. Must have excellent communication skills, with the ability to work closely with business and technology partners to understand their needs. Facilitate effective project and stakeholder team working sessions to identify requirements, impacts and resource requirements. Maintain effective communication with stakeholders, providing regular updates on project status, risks, and issues. Understand and represent the team's strategy in meetings. Prepare executive ready presentations outlining strategic plans, performance updates, and key insights. Knowledge, Skills & Requirements Bachelor's degree in a quantitative discipline (e.g. Math, Economics, Computer Science, Statistics, Data Analytics), or equivalent, with a Master's degree or MBA preferred 7+ years of experience managing data and analytic programs, ideally reporting directly to a CDAO, VP/SVP or equivalent Proven experience leading through project/program lifecycles Expert level skills with tools like Jira, Confluence, Smartsheet and Excel to create and manage dashboards and reports. Familiarity with data and analytics tools (e.g., SQL, Python, Tableau, Power BI), cloud platforms (AWS, Azure), ETL tools, API integration, and AI Deep understanding of data management, data governance and analytics Proficient in stakeholder management and cross-functional collaboration Strong conflict resolution with ability to navigate interpersonal dynamics Excellent communication, interpersonal, and time management skills Ability to excel in a fast-paced, client-centric environment, with the ability to quickly adapt as business priorities shift About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit . Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities. PandoLogic. Category:Executive,