Vantage Data Centers Jobs in Usa

Director, Child Care Center

Position Summary

The Director of the Child Care Center provides strategic leadership, operational management, and regulatory oversight for the organization’s childcare services. This role ensures a safe, high‑quality, developmentally appropriate environment for children while aligning the Center’s operations with the organization’s caregiver experience strategy. The Director leads staff development, program quality, compliance, family engagement, and operational excellence, ensuring the Center supports both children and caregivers effectively.

Key Responsibilities

Program Leadership & Quality Management

• Provide overall leadership and direction for childcare programs serving infants through pre‑K and school‑age children.
• Ensure developmentally appropriate, evidence‑based curriculum and instructional practices.
• Maintain high-quality learning environments using recognized frameworks (e.g., CLASS, Creative Curriculum, state quality standards).
• Lead continuous improvement efforts based on program data, assessments, and compliance findings.

Regulatory Compliance & Safety

• Ensure strict adherence to all state licensing regulations, health and safety standards, accreditation requirements, and organizational policies.
• Conduct routine audits of facility, documentation, operations, and staff practices to maintain compliance.
• Coordinate inspections, reporting, incident management, and corrective action plans.

Operational Management

• Oversee daily operations, scheduling, staffing, enrollment, and financial stewardship of the Center.
• Maintain effective policies, procedures, documentation systems, and operational controls.
• Manage budgeting, purchasing, resource allocation, and cost‑effective program operations.

Staff Leadership & Development

• Recruit, hire, supervise, and develop childcare staff and early‑childhood educators.
• Ensure ongoing professional development, credentialing, performance evaluations, and coaching.
• Build a positive, supportive, inclusive culture that models high-quality childcare practices.

Family Engagement & Communication

• Foster strong relationships with families through communication, responsiveness, and engagement opportunities.
• Promote programs that strengthen family/caregiver involvement and trust.
• Address family concerns professionally and promptly, ensuring transparency and partnership.

Strategic Alignment & Caregiver Experience Integration

• Align Center operations with organizational caregiver experience goals and well‑being strategies.
• Partner with HR, benefits, and employee experience teams to ensure the Center supports workforce needs (e.g., scheduling, priority slots, wrap‑around care).
• Utilize data from satisfaction surveys, trends, and utilization to inform program improvements.

Core Competencies

Early Childhood Leadership

• Demonstrates deep understanding of early childhood development, curriculum frameworks, and quality standards.

Regulatory & Compliance Expertise

• Navigates state licensing, inspections, audits, and corrective action processes with precision and confidence.

Operational Excellence

• Leads efficient, well‑structured operations with strong documentation, scheduling, processes, and resource management.

Safety & Risk Management

• Ensures rigorous safety, supervision, health practices, and emergency preparedness.

Staff Development & Coaching

• Builds a high-performing team through coaching, modeling, observation, and feedback practices.

Family Partnership & Communication

• Communicates effectively with families, resolves concerns, and builds trusting relationships.

Strategic Alignment

• Connects program operations to larger organizational caregiver experience and workforce well‑being strategies.

Data‑Informed Decision Making

• Uses assessments, enrollment trends, satisfaction data, and operational metrics to improve quality and outcomes.

Inclusive & Supportive Leadership

• Creates an environment where children, families, and staff feel valued, respected, and understood.

Qualifications

Required

• Bachelor’s degree required in Early Childhood Education, Child Development, Education, Public Administration, Business, or related field.

The Overnight Assistant Distribution Center Director at John F. Kennedy Distribution Center is responsible for supporting the Distribution Center Director with managing overall distribution center activities for offsite operations with $400+ million in revenue accountability serving multiple airport locations. This role involves assisting with distribution center personnel leadership, vendor relationships, inventory management across multiple locations, regulatory compliance support, and coordinating operations across multiple lines of business including retail, restaurants, and duty-free shops while ensuring operational efficiency and accuracy.

Essential Functions

• Assist in managing inventory accuracy, including transportation of orders and returns to multiple locations, product rotation, temperature control procedures, and reverse logistics using SAP, CrunchTime, and distribution management systems.
• Supervise day-to-day distribution center activities, including staff scheduling, shift coverage, and operational continuity while providing service to multiple airport locations for receiving, processing, and distributing merchandise for retail and food & beverage operations.
• Support vendor relationship management to ensure proper stock levels that support sales objectives across served locations. Assist with coordinating distribution operations across retail, restaurants, and duty-free shops while helping resolve delivery issues, shortages, and quality concerns.
• Assist with monitoring and reporting key performance indicators (KPIs) including inbound throughput, labor efficiency, and operational metrics across multiple locations. Support the implementation of contingency plans for distribution center operations.
• Support compliance with U.S. Customs, FDA, and other regulatory bodies, and assist with maintaining accurate records, particularly for bonded merchandise.
• Assist with enforcing food safety protocols, including FIFO stock rotation, expiration date monitoring, and overall food safety compliance. Participate in Quality Assurance activities and maintain security of food storage areas.
• Support the training, coaching, and development of distribution center staff while assisting with performance management in accordance with company policies and union agreements where applicable.
• Maintain distribution center organization, including fixtures, equipment storage, bin locations, and physical inventory processes. Review incoming orders from multiple locations and ensure accurate data entry into systems.
• Assist with communication and collaboration with airport management teams across served locations to support operational goals while coordinating between associates and management teams.
• Operate company vehicles safely and maintain compliance with all transportation and safety requirements for multi-location distribution operations.

Reporting Relationship & Role Information

• This position typically reports to the Distribution Center Director within the assigned distribution center location.
• The Assistant Distribution Center Director position falls under the Fair Labor Standards Act (FLSA) as an Exempt position.
• Requires scheduling flexibility to work various shifts including days, evenings, nights, weekends, and holidays as operational needs require.
• Must be able to pass government background checks where required for working in a Customs Bonded Warehouse.

Physical Requirements

• Ability to walk extensively throughout distribution centers and coordinate with multiple airport locations for extended periods.
• Lift, carry, and move inventory items up to 50 pounds regularly.
• Visual acuity to review inventory records, conduct physical counts, and analyze data reports.
• Ability to work in varying warehouse and retail environments with different temperature and noise levels.

Minimum Qualifications, Knowledge, Skills, and Work Environment

Education & Experience

The combination of education and professional experience must exceed 5 years:

• Minimum 2 years of supervisory experience leading distribution center, supply chain, and/or logistics teams serving multiple locations. Experience managing in a unionized environment (CBA) preferred.
• In a technical role: 5 years of experience in distribution operations, inventory management, or supply chain coordination with multi-location responsibility.
• High school diploma or GED required. A Bachelor’s degree in Business Administration, Supply Chain Management, Operations Management, or a related program may count toward 2 years of the experience requirement.
• Minimum 2 years of driving experience with a valid state driver's license.

Specialized Training

• Basic understanding of food safety protocols and HACCP principles preferred.
• Training that leads to an understanding of U.S. Customs and FDA regulatory compliance requirements preferred.
• Experience with distribution and warehouse management systems (SAP, CrunchTime preferred).
• OSHA safety and hazardous material handling awareness.

Specialized Skills, Competencies & Traits

• Excellent time management and prioritization skills, with the ability to support multiple concurrent distribution operations across locations while maintaining accuracy in inventory tracking and data entry.
• Valid driver’s license with a clean driving record and the ability to operate commercial vehicles and heavy distribution equipment safely. CDL or commercial truck driving experience preferred but not required, particularly in urban locations.
• Proficiency in Microsoft Office Suite, including intermediate Excel for reporting, and the ability to quickly learn distribution management systems such as SAP and CrunchTime.
• Strong verbal and written communication skills, with the ability to effectively communicate with multiple airport locations, vendors, team members, and management while reading and comprehending technical instructions and policy documents.
• Strong problem-solving abilities to resolve operational issues across multiple locations and escalate complex matters appropriately.
• Demonstrated ability to understand the needs of multiple business locations, stakeholders, and employee populations, including individual circumstances.
• Proven history of creating and maintaining positive work environments.

Disclaimer:

All job requirements are subject to change to reflect the evolving position requirements or to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a threat or risk to the health and safety of themselves or other employees. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with Federal and State Laws). Continued employment remains on an "at-will" basis.

Dufry, Hudson, and HMSHost are equal opportunity employers and do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

The Strategic Data(RWD) Acquisition Manager will be an integral part of Surescripts' data ecosystem by executing negotiations with Surescripts Network Alliance partners to secure data usage rights, while also identifying and acquiring new, strategic data sources. This person will play a critical role in maintaining access to high quality data necessary for the development of solutions that will deliver value and improve the experience for stakeholders across the healthcare ecosystem. This position requires a deep understanding of healthcare data, the regulatory landscape and business development experience to successfully negotiate and secure data agreements that will enhance our product portfolio.

• Identify and evaluate potential data sources of interest that expand Surescripts' data portfolio. Create comprehensive value propositions for how the data could be used within Surescripts' solutions, and valuation of the data to make offers to data sources for data acquisition.
• Drive business development efforts to secure agreements that enhance Surescripts' data portfolio. With guidance from leadership, execute strategies to identify and approach potential data partners, and successfully negotiate terms.
• Collaborate with sales and product teams to develop strategies to align customer incentives with broader data-dependent initiatives. Interface with Surescripts Network Alliance partners to negotiate data usage rights, ensuring alignment with business goals and regulatory requirements.
• Interface with data providers, industry partners, and other stakeholders.
• Manage day-to-day data procurement-related inquiries and negotiations with data providers and customers.
• Maintain a thorough understanding of privacy laws, including HIPAA permitted purposes. Collaborate with compliance, privacy, security, and data governance teams to ensure all data procurement activities comply with all state and federal regulations, internal policies, and customer contracts.
• Monitor and report on data procurement activities. Track progress of data procurement efforts, report on key metrics, and provide regular updates to senior management. Proactively identify and address any challenges or obstacles in the procurement process. Monitor and evaluate the ROI of data acquisition initiatives to prioritize high-impact opportunities.
• Keep up-to-date with the latest developments in data rights, privacy regulations, and the healthcare industry. Apply and share this knowledge to improve data procurement strategies and ensure the company remains compliant and competitive.

Qualifications:

Basic Requirements:

• Bachelor's degree in Business, Economics, Data Science, or related field;
• 8+ years of experience in business development and/or related experience in the procurement/acquisition of healthcare data.
• Strong understanding of regulations around healthcare data, including Health Insurance Portability and Accountability Act (HIPAA) and Trusted Exchange Framework and Common Agreement (TEFCA).
• Ability to evaluate the value and quality of data assets and their applicability to business needs.
• Proven experience in negotiating contracts and managing vendor relationships.
• Demonstrated success in business development and deal negotiation.
• Excellent written and verbal communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Ability to travel for team, customer and vendor meetings as needed.
• Strategic thinker with strong analytical and problem-solving abilities and results-driven mindset.

Preferred Qualifications:

• MBA or advanced degree preferred in a related field.
• Strong understanding of healthcare interoperability standards, such as Fast Healthcare Interoperability Resource (FHIR).
• Strong understanding of electronic health records (EHR), pharmacy and claims data, health information exchanges (HIE), and TEFCA qualified health information networks (QHINs)
• Familiarity with data governance tools (e.g. data mapping, lineage

#LI-remote

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now

We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.

Open date: June 9, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: October 14, 2025

Most recent review date: Friday, Nov 14, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty members. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills.

The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.

Responsibilities

The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.

The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.

The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.

UC Berkeley librarians are expected to participate in library-wide planning and governance and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.

The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.

UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits. This is an externally funded appointment.

This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

UC Berkeley Library Website:

UC Berkeley Library statement of values: about/library-values

Advanced degree or enrolled in an advanced degree program.

• 
  
• Advanced degree.
  
• Two years of experience providing reference and instructional services in an academic or professional setting.
  

• 
  
• Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
  
• Demonstrated commitment to the Library's values.
  
• Demonstrated analytical, presentation, and communication skills.
  
• Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
  
• Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
  
• Participation in The Carpentries or other data science education program.
  
• Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
  
• Experience working collaboratively with multiple stakeholders in an academic environment.
  
• Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
  
• Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• 3-5 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: November 21, 2025

Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Nov 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

• 
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

• 
  
• Introduction to SQL
  
• Introduction to Databases
  
• Data Warehousing and Business Intelligence
  
• Data Visualization
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  
• R for Data Analysis
  
• Data Analytics Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning Using Python
  
• Machine Learning and Deep Learning
  
• Artificial Intelligence Foundations
  
• Data Science Capstone
  

Software Development and Advanced Software Development

• 
  
• Introduction to C Language Programming
  
• C++ Programming
  
• First Course in Java
  
• Programming Python
  
• Data Structures and Algorithms
  
• Front-End Web Development
  
• JavaScript Frameworks
  
• Modern Web Applications and Cloud Computing
  
• Software Design Patterns
  
• Software Quality Assurance
  
• Software Development Capstone
  
• Java: Discovering Its Power
  
• Mastering Python
  
• Back-End Development with Java/Python
  
• Web Software Security Frameworks
  
• Advanced Databases
  
• Advanced Software Development Capstone
  

Cybersecurity

• 
  
• Advanced Network Cybersecurity and AI Monitoring
  
• Cybersecurity AI Risk Management and Governance
  
• Automated Cybersecurity Incident Response and Digital Forensics
  
• Advanced Topics in AI Cybersecurity and Capstone
  

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• 
  
• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

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• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
  

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses

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Role Summary

The Director/Sr Director, Enterprise Data, Analytics & Integrations owns the enterprise data and reporting strategy for a large, distributed retail footprint (~900 locations). This leader is accountable for modernizing and operating the end-to-end analytics ecosystem—from ingestion and integration through semantic modeling, governance, and executive reporting—while partnering deeply with business stakeholders to drive measurable outcomes (sales, margin, inventory productivity, labor efficiency, customer experience).

This role builds and scales a pragmatic operating model (often a BI/Analytics “Center of Excellence” approach) to ensure consistent metrics, trustworthy data, disciplined governance, and high adoption across the organization.

Key Responsibilities

Enterprise Data & Reporting Strategy

• Define and execute a multi-year enterprise data and reporting strategy aligned to corporate and retail operating priorities (store ops, merchandising, supply chain, finance, digital/eComm).
• Establish a single source of truth for KPIs and retail performance management (enterprise metric definitions, hierarchies, dimensional models, semantic layers).
• Build a roadmap for self-service analytics that balances empowerment with governance, standardization, and security (COE patterns, standards, training, adoption).

Retail Analytics Platform Ownership (Oracle Retail Insights + Power BI + Fabric)

• Lead the functional and technical ownership of Oracle Retail Insights as a core retail BI/warehouse capability, including data sourcing, transformations, and retail-ready reporting content.
• Own enterprise reporting and visualization strategy in Power BI, including dataset design, semantic models, performance tuning, governance, and release management.
• Drive the adoption and operationalization of Microsoft Fabric (OneLake/lakehouse patterns, ingestion, transformation, warehousing, real-time/stream needs where applicable) to modernize data workflows end-to-end.

Integrations & Data Movement (Oracle Katalist and broader ecosystem)

• Own integration strategy and execution to connect retail applications, legacy systems, and cloud platforms—ensuring scalable, supportable interfaces and high-quality data synchronization.
• Establish integration standards (API strategy, event vs. batch patterns, SLAs, monitoring/alerting, incident response) and ensure resilience for store-critical and enterprise-critical feeds.
• Partner with application owners and vendors to prioritize integration backlog and deliver at retail speed (testing discipline, cutover planning, rollout across 900 locations).

Data Governance, Quality, Security, and Compliance

• Stand up data governance practices: data ownership, stewardship, data quality rules, lineage, controlled metric definitions, and change control.
• Ensure appropriate security and privacy controls (role-based access, sensitivity labels where used, auditability), especially for customer/loyalty and employee-related data.

Business Partnership & Value Realization

• Serve as a strategic partner to senior business leaders—translating business goals into analytics products and integration capabilities.
• Build a cadence of value measurement (adoption, time-to-insight, KPI improvements, reduced manual effort) and communicate progress through executive-ready dashboards and narratives.
• Lead prioritization across competing demands with a clear “enterprise first” lens.

Vendor / MSP Management and Financial Stewardship

• Manage systems integrators/MSPs delivering data engineering, BI development, and integration services—ensuring quality, velocity, security, and cost control.
• Own budgets and vendor contracts; establish outcome-based SLAs, performance scorecards, and governance routines.

Required Qualifications

• 10+ years in enterprise data/analytics and/or integration leadership, with 5+ years managing teams and/or MSP/SI delivery.
• Demonstrated success building enterprise reporting strategy, KPI governance, and scalable analytics operating models (COE-style governance, enablement, and standards).
• Hands-on leadership experience with modern analytics stacks, including:
• Power BI (semantic modeling, governance, tenant/workspace standards, enterprise rollout)
• Microsoft Fabric (end-to-end analytics workflows across ingestion, transformation, warehousing/lakehouse, and reporting)
• Oracle Retail Insights (retail analytics/BI, data sourcing, retail hierarchies/metrics, operational reporting)
• Strong integration leadership: API-based integrations, ETL/ELT patterns, orchestration, monitoring, and SLAs.
• Proven ability to influence and partner across business and technology (merchandising, store ops, supply chain, finance, digital).
• Experience operating in a multi-site retail environment (hundreds of stores/locations strongly preferred).

Preferred Qualifications

• Experience with Oracle retail ecosystem components and retail data models (merchandise, inventory, pricing, promotions, loyalty/customer).
• Experience implementing or scaling a data governance program (catalog/lineage, DQ rules, stewardship).
• Familiarity with low-code or orchestration integration platforms (including Katalist capabilities where applicable).
• Background in product management for data/analytics (roadmaps, backlogs, adoption).

Leadership Attributes / Competencies

• Retail-first mindset: understands store operations realities, field adoption, and the need for reliable daily metrics.
• Operating model builder: establishes standards, governance, and enablement that scale across functions and geographies.
• Execution + strategy: can set a vision and deliver tangible value iteratively.
• Vendor leadership: drives outcomes with MSPs/SIs through disciplined governance and measurable performance.
• Data trust champion: relentlessly improves data quality, reliability, and clarity of definitions.

Job Title: Data/Software Engineer

Location: Remote

Industry: Pharmaceutical

***NO C2C***

Job Description:

Theoris Services is assisting our client in their search for a Data/Software Engineer to add to their growing team. Our client is seeking someone with data visualization experience and software engineering (create reusable libraries, best practices, troubleshooting).

Responsibilities:

• Data Pipeline & Backend Development
• Design, build, and optimize scalable data pipelines and ETL/ELT processes to integrate and harmonize scientific data (compounds, assays, experiments) from 30+ heterogeneous sources.
• Implement and maintain lakehouse architectures on AWS (S3, Glue, Athena, Iceberg) to support multibillion-record datasets.
• Develop federated query capabilities using Trino (or similar distributed engines) for unified access across platforms like PostgreSQL, Snowflake, and others.
• Build robust backend services, RESTful APIs, and data services using Python (FastAPI, Flask preferred) to enable seamless data flow and integration with scientific tools (e.g., Benchling, computational chemistry systems, AI/ML endpoints).
• Performance Optimization & Troubleshooting
• Optimize query and database performance for complex analytical workloads across PostgreSQL, Iceberg, Trino, and other platforms.
• Implement caching, indexing, and query tuning techniques to improve response times and scalability as data volumes and user bases grow.
• Apply reverse engineering and advanced troubleshooting skills to debug complex data issues, pipeline bottlenecks, application failures, and performance problems proactively.
• Monitor systems, identify root causes, and implement fixes for data and application reliability.
• Data Visualization & User-Facing Analytics
• Design and develop interactive dashboards, visual analytics, and scientific data visualizations using Power BI and Spotfire (or equivalent tools).
• Create reusable visualization components and data-rich UIs (React/TypeScript preferred) to enable scientists to search, filter, explore, and interpret complex datasets—including dose-response curves, chemical structures, and analytical results.
• Translate scientific and engineering data into clear, actionable visual insights for researchers and stakeholders.
• Software Engineering & Quality Practices
• Apply best software engineering practices: modular/reusable design, clean code principles, code reviews, comprehensive documentation, and creation of maintainable libraries/services.
• Write high-quality unit, integration, and end-to-end tests; use mock data effectively to create reliable automated test cases and ensure code stability.
• Implement CI/CD pipelines for automated testing, deployment, and monitoring on AWS (EC2, ECS, Lambda, S3).
• Collaborate on full-stack features from database to frontend, ensuring end-to-end functionality, security (SSO/LDAP), and performance.
• Collaboration & Governance
• Partner with scientists, UX designers, and cross-functional teams to gather requirements, conduct user testing, and iterate on usability.
• Implement data validation, quality checks, metadata management, and governance to ensure compliance and accuracy.
• Contribute to engineering best practices and foster a culture of quality and scalability.

Requirements:

• Education & Experience
• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical field.
• 3+ years of professional experience in data engineering, full-stack development, or closely related roles.
• Proven track record of building and delivering production-grade data pipelines, platforms, and/or user-facing scientific applications.
• Technical Skills
• Programming: Intermediate to strong proficiency in Python (core for pipelines, backend, and data manipulation with pandas/PySpark); familiarity with JavaScript/TypeScript for frontend.
• Data Engineering: Hands-on experience creating scalable pipelines, ETL/ELT processes, and distributed processing (Spark, Trino/Presto).
• Databases & Querying: Deep expertise in relational databases (PostgreSQL), modern warehouses (Snowflake, Redshift), and query engines; strong focus on query performance improvement and optimization.
• Cloud Platforms: Practical experience with AWS services (S3, Glue, Athena, Lambda, RDS, EC2/ECS).
• Data Visualization: Proven experience with Power BI and Spotfire (or similar) for scientific and analytical dashboards/visualizations.
• Frontend (preferred): Modern JavaScript/TypeScript frameworks (React preferred), responsive UI development, and component libraries.
• Testing & Quality: Strong unit testing skills; experience writing automated tests with mock data for robust coverage.
• Tools & Practices: Git for version control; API design (RESTful); CI/CD; clean code and reusable library development.
• Core Competencies
• Excellent reverse engineering and troubleshooting capabilities for complex data and system issues.
• Strong problem-solving skills with attention to detail and commitment to data quality/accuracy.
• Ability to work independently and collaboratively in cross-functional, scientific teams.
• Excellent communication skills to bridge technical concepts with non-technical stakeholders (scientists, researchers).

Best-In-Class-Benefits:

We are in the people business; treating people right is our ONLY priority. Theoris Services consultants are full-time employees with full benefits, including:

• Robust Health Insurance
• 401(k) plan

About Theoris:

Our goal is to Fuel Your Career! As a Theoris team member, you join a culture based on people-centered values and an environment that fosters both personal and professional growth. We build long-term relationships with our clients and our consultants. With over 30 years of building strong relationships in the industry, we’re uniquely positioned to make the right connections. This knowledge is used to find the right job placement. Our recruiting teams are experts dedicated to the information technology and engineering staffing space and are highly respected by our client base.

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.

Responsibilities

• Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
• Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
• Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
• API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
• Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
• Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.

What You Will NOT Do (The Boundaries)

• No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
• No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
• No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.

Intersection with Technical Teams

• With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
• With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.

Experience, Skills, & Ability Requirements

• 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
• SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
• API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
• Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
• You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
• You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.

Bonus Points (Nice-to-Haves)

• Familiarity with Visio/Lucidchart to visualize data flows.
• Ability to build simple dashboards in Tableau to track data health scores.
• Basic familiarity with Python or R for data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.