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POSITION SUMMARY: In this role, you will ensure accurate cost estimation for metal fabrication and manufacturing projects. This role involves evaluating project requirements, analyzing specifications, sourcing material costs, and collaborating with various departments to ensure that estimates align with the company’s financial goals and the scope of work. The Estimator will be responsible for preparing bids, cost analyses, and supporting project teams with cost-related inquiries throughout the project lifecycle.

ESSENTIAL DUTIESAND RESPONSIBILITIES:

• Cost Estimation: Develop accurate cost estimates for steel fabrication, manufacturing, and installation projects by assessing material quantities, labor costs, equipment needs, and other project-specific requirements.
• Project Analysis: Review blueprints, project plans, specifications, and other relevant documents to determine project scope, requirements, and potential challenges.
• Material Sourcing: Identify and source the appropriate materials for each project, considering cost, quality, and delivery schedules.
• Collaboration: Work closely with project managers, engineers, procurement teams, and contractors to ensure accurate costs and maintain effective communication throughout the project.
• Bid Preparation: Prepare competitive bids for tender submissions by gathering all necessary cost data and ensuring adherence to client specifications and project timelines.
• Risk Assessment: Evaluate potential risks and contingencies that could impact the project’s budget and schedule and incorporate these into the final estimate.
• Data Management: Maintain accurate records of estimates, revisions, and project data for future reference and audits.
• Client Relations: Participate in meetings with clients to explain estimates, adjustments, and clarify any questions regarding the cost of the project.

QUALIFICATIONS: Must be able to perform each essential duty daily.

• Bachelor’s degree in construction management, Engineering, Business, or a related field (preferred). Experience in estimating structural/miscellaneous metals can be substituted.
• Minimum of 5 years’ experience in structural steel takeoffs and bid proposals.
• Apply manufacturing standards to determine shop and installation hours.
• Full-time, office based, occasional job site visits.
• Strong knowledge of materials, fabrication techniques, and industry standards.
• Proficiency in estimation software, i.e. Bluebeam, Tekla, Excel and Microsoft Office Suite.
• Ability to read and interpret blueprints, drawings, and project specifications.
• Ability to analyze complex project data and propose solutions to cost challenges.
• Capable of managing multiple estimates simultaneously while meeting deadlines.
• Works well with a cross-functional team, providing valuable input to ensure project success.

PHYSICAL DEMANDS: Must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions on a case-by-case basis in conjunction with the official Company doctor and clinic.

• Ability to sit for extended periods of time while working at a desk or computer, with regular use of hands and fingers for typing, using a computer mouse, and handling documents.
• Occasional lifting and moving files, supplies, or materials typically up to 40 pounds.

WORK ENVIRONMENT:

• Primarily works in a standard office environment with minimal exposure to temperature changes.
• Job site visits as needed will include outdoor environments and/or work from site trailers. Outdoor temperatures are unregulated, meaning depending on the season and location temperatures could be hot or cold in the immediate areas where work assignments must occur.
• Shop visits as needed will include industrial manufacturing environments with heavy machinery, forklifts and overhead cranes.
• Required to wear Personal Protective Equipment (PPE) such head protection, eye protection, and steel-toed footwear in designated areas.

EEO:

SME Industries, Inc. is an Equal Opportunity (EEO) Employer. All qualified applicants will receive consideration without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, status as a protected veteran, status as an individual with disability, or any other protected group status or non-job-related characteristic as directed by law.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Job Title: Distribution and Marketing Data Product Manager

Division: Beazley Shared Services - Data Management

Location: Multiple Locations, US

Hybrid Role

Reports To: Head of Data Products

Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders

Beazley:

Beazley is a global specialist insurance company with over 30 years' experience helping people,

communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.

We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.

Data @ Beazley:

Our Data team supports Beazley's vision by...

* Being bold through pioneering & championing an exciting vision of how people interact with data

* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies

* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently

* Being the single source of truth for enterprise-wide reporting metrics and KPIs

Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.

The Role:

Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.

Key Responsibilities:

• Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.

• Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.

• Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.

• Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.

• Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.

• Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.

• Represent the business in data governance discussions, escalating issues as appropriate.

• Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.

• Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.

• Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.

• Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.

• Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.

• Provide leadership, direction, development and support to direct reports (including off-shore resources).

Essential Criteria:

• Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred

• Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services

• Experience working with data, building data models, and sharing insights

Skills and Abilities:

• Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth

• Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred

• Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred

• Strong organization and communication skills with the ability to direct work, document requirements and present demos

• Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data

• Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth

Knowledge and Experience:

• Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred

• Strong understanding of MDM and CRM systems and their use with Customer and Broker data

• Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling

• Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance

• Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities

• Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes

• Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles

• Experience in managing and manipulating large internal and external datasets

• Knowledge of relational and dimensional database structures, theories, principles, and practices

• Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment

• Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority

Who We Are:

Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.

Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.

Our Culture

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.

• Be bold
• Strive for better
• Do the right thing

Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.

We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.

Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:

• Beazley RACE - Including, understanding and celebrating People of Colour
• Beazley SHE - Successful, High potential, Empowered women in insurance
• Beazley Proud - Our global LGBTQ+ community
• Beazley Wellbeing - Supporting employees with their mental wellbeing
• Beazley Families - Supporting families and parents-to-be

We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:

• Internal Pathways (helping you grow into an underwriting role)
• iLearn (our own learning & development platform)
• LinkedIn Learning
• Mentorship program
• External qualification sponsorship
• Continuing education and tuition reimbursement
• Secondment assignments

The Rewards

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
• Attractive base compensation and discretionary performance related bonus
• Competitively priced medical, dental and vision insurance
• Company paid life, and short- and long-term disability insurance
• 401(k) plan with 5% company match and immediate vesting
• 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
• Up to $700 reimbursement for home office setup
• Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
• Up to 26 weeks of fully paid parental leave
• Up to 2.5 days paid annually for volunteering at a charity of your choice
• Flexible working policy, trusting our employees to do what works best for them and their teams

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.

Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.

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.
  

• 
  
• 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

• 
  
• Bachelor's degree or equivalent international degree required.
  

• 
  
• 5 or more years of professional industry work experience since degree.
  

• 
  
• 6 or more years of professional industry work experience in the course subject.
  
• Advanced degree in course subject preferred.
  
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/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.
  
  (Optional)

  
  

• Sample Syllabi and/or Teaching Evaluations (Optional)

  
  

• 
  
• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

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
  

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact:

• Develop and maintain shared semantic models in Power BI using star schema design.

• Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.

• Define and implement best practice report/data management through Microsoft Fabric integrations

• Review and maintain reports for performance optimizations, style consistency, and best practice improvements.

• Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.

• Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.

• Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.

We are looking for people who have:

• Experience (4+ years) in Data Modelling, Data Analysis, or similar.

• Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

• Demonstrated proficiency creating SQL queries to manipulate large datasets.

• Strong analytical and problem-solving skills, with a focus on best practice and data governance.

• Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.

• Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

• Experience with BigQuery or other data warehousing platforms.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

Job Posting Title:

Location:

Electrical Engineer - Data Centers - San Francisco

Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.

This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.

Responsibilities:

• Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
• Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
• Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
• Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
• Conducting technical due diligence and maintaining quality standards in line with client expectations.
• Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
• Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
• Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.

Background Required

• Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
• At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
• Confident in power systems analysis and the software tools that come with it.
• Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
• Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
• Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

About the Job

Ecorobotix Inc. creates innovative robotic solutions that reduce the negative ecological impact of modern agriculture. We have developed an AI-based ultra-high precision spot spraying technology that drastically reduces the amount of chemicals used in crop fields while keeping costs competitive. The technology is currently deployed on our tractor-towed ARA machine. By joining our talented and dynamic team, you will contribute to a more sustainable, environment-friendly agriculture in an innovative scale-up at the cutting edge of technology. We are a revolutionary organization with a great work environment that supports creativity through self-motivation.

General Objective of the Role

Support the development of Ecorobotix’s turf-care system through collection of high-quality turf imagery and environmental data to support AI model training and validation. The Regional Turf Data Technician is responsible for building and maintaining relationships with golf courses, sod farms, sports fields to assess whether their facilities have the type of data that we need to photograph and obtain any permits needed to collect those photographs. The Regional Turf Data Technician will need to produce high quality and variety of images of desired turfgrass species and document pests based on business needs. This individual will work outdoors to ensure regular monitoring of turfgrass and associated pests within their geographical area.

Reporting Lines & Interactions

Reports Turf Data Team Manager, Turf Division. This role will collaborate with the AI and Crop Vision team as well as Turf Data Quality teams to ensure they are achieving data quantity and quality goals. The Regional Turf Data Technician will also collaborate with other members of the pre- and after-sales teams of Ecorobotix Inc. as required to scout for data collection locations. Externally, interaction with dealers, superintendents, turf farm managers, and athletic facility managers on turf facilities or at regional association meetings and trade shows is required.

Key Responsibilities

• Become data project specialist for your assigned region
• Collect turfgrass imagery according to defined protocols
• Operate and maintain camera and field data systems
• Work with sales team to collect data at turf facilities in assigned region
• Assist with analysis of future turfgrass model data collection and methods to improve data collection work flow
• Up to 70% required travel within given territory with occasional travel outside of territory based on business needs.

Qualifications

• 2+ years of experience in managing turfgrass field research data collection.
• Familiarity with turf management, turf weeds or agricultural imaging.
• Bachelor’s degree in turfgrass science, agronomy or horticulture
• Two or more years of experience in turfgrass management (e.g. golf course, lawn care, sports field, sod farm management)
• Have a strong knowledge or interest in turfgrass management and pest management
• Knowledge of IT tools (tablets with internal software, smartphones) to manage communications and necessary data.
• 2+ years of experience interacting with turfgrass managers
• Must have a clean driving record

Experience/Skills

• Technical proficiency with sensors and data tools.
• Ability to travel up to 70% and work outdoors in varying conditions in their region.
• Excellent organization and communication skills.
• Knowledge of turfgrass management techniques (knowledge of weeds, diseases, weed control methods, machinery and work on turfgrass managers in general)
• High degree of independence, reliability and initiative.
• Strong team spirit with a desire to work in a fast-paced environment.
• Analytical and structured approach to work with the ability to adapt quickly to changes
• Dedicated person with systematic, goal-oriented working methods
• Ability to manage multiple projects simultaneously and meet deadlines.
• Excellent written and verbal presentation skills with clear and consistent communication.
• Proficiency in Microsoft Excel, PowerPoint and Word
• Interest in precision turfgrass management and innovation in the golf and turf industry.

Project Manager – Data Center Construction

Top‑ranked ENR Electrical Contractor

Multiple U.S. Locations:

Columbus, Ohio - Cedar Rapids, Iowa - Port Washington, WI - Santa Teresa, NM - Sparks, NV.

Data Center Construction

For decades, our client has delivered some of the most complex, high‑profile electrical projects in the United States. Their Data Center Division builds mission‑critical facilities nationwide -installing and commissioning electrical systems that power millions of users every day. Their culture is defined by integrity, safety, innovation, and doing the right thing even when no one is watching.

Salary Range: $120,000–$160,000 base

Bonus: Eligible for annual performance bonus

(Compensation varies by market and experience, supported by a robust benefits program.)

The Position: Project Manager - Data Center

The successful applicant will assume responsibility for:

• Leading electrical data center construction projects from qualification through estimating, pre‑con, mobilization, execution, and closeout.
• Ensuring all project and contractual requirements are fulfilled safely, professionally, and within budget and schedule.
• Developing the project execution plan, and managing scheduling and coordination with the Superintendent and field teams.
• Identifying risks, analyzing issues, and implementing recovery action plans to protect schedule and budget.
• Managing full project financials: invoice approval, job cost tracking, productivity monitoring, variance reporting, and financial performance reviews.
• Negotiating change orders effectively to maintain scope clarity and profitability.
• Serving as the primary point of contact for customers, end‑user owners, and subcontractors; developing and maintaining strong external relationships.
• Sourcing and qualifying new project opportunities.
• Building and mentoring a high‑performance project team, ensuring employee development and long‑term growth.
• Exercising sound judgment within established policies; decisions directly influence schedules, outcomes, and project success.

The Candidate

Applicants will be expected to demonstrate:

• 5+ years of experience in electrical construction or related fields, including leadership of multi‑million‑dollar projects.
• 5+ years managing people and electrical construction projects across commercial, utility, alternative energy, or data center markets.
• Strong knowledge of estimating, cost accounting, scheduling, procurement, productivity tracking, and reporting.
• Experience working with union labor, labor rate structures, and collective bargaining agreements.
• A proven ability to lead teams, manage risk, influence stakeholders, and drive projects to successful completion.
• Education: High School Diploma or GED required; Bachelor’s in Construction Management, Engineering, Business, or similar preferred.
• Valid driver’s license and satisfactory driving record.
• Must be authorized to work in the U.S. (no sponsorship available).

The Company

Our client is a top‑ranked ENR electrical contractor known for:

• Delivering complex data center builds with excellence, safety, and integrity.
• Buildingmillion's of sq. ft. of mission‑critical data center space valued at over $2 Billion in electrical systems.
• A culture rooted in people-focused leadership, innovation, and long-term career development.

This is a place where employees have real impact, contribute to meaningful work, and grow their careers on challenging, high‑visibility projects.

Compensation & Benefits

• Competitive base salary: $120,000 - $160,000
• Annual performance bonus eligible
• Market‑adjusted compensation aligned with experience and credentials
• Comprehensive, robust benefits program (medical, dental, vision, etc.)
• Strong emphasis on employee development and advancement

Submit your resume along with a detailed project list showcasing your experience in Data Center Construction.

If you have questions, please get in touch on either:

Email:

Cell: (917) 7464831

Job Title: Jr Data Entry Specialist

Location: Atlanta, GA (ATL preferred)

Schedule: Onsite, 5 days/week

Perks: Free parking

About the Role

We’re seeking a Jr Data Entry Specialist to support property and vendor setup while ensuring accurate and timely commission processing. This role is ideal for someone highly detail-oriented who can follow established processes, work across multiple databases, and handle sensitive financial information with care. It’s a strong opportunity for someone eager to gain exposure to a corporate operations environment.

What You’ll Do

• Enter and maintain new properties in internal systems (supporting 170–190+ properties)
• Set up new vendors and establish vendor IDs in coordination with Accounts Payable
• Review and verify tax documentation to ensure vendors are eligible for compensation in their respective states
• Confirm contract payment terms and validate unit counts eligible for compensation
• Calculate and process commissions using internal systems and Excel-based uploads
• Research unpaid commissions and resolve discrepancies or incorrect payments
• Initiate recoupment for overpayments or invalid payments
• Receive and route returned checks to Accounts Payable
• Work through and resolve an existing ticket backlog (approximately 700 tickets from 2025 to present)
• Pull and reconcile data from multiple internal databases while maintaining accuracy
• Handle private banking and compensation data securely within VPN environments

What We’re Looking For

• High attention to detail and ability to follow defined processes consistently
• Comfort working across multiple systems and accurately transferring information
• Strong Excel skills; experience uploading or reconciling spreadsheet-based data
• Proficiency in Microsoft Outlook and professional internal communication
• Ability to work independently and stay organized in a high-volume environment
• Strong interest in gaining exposure to a corporate operations role

Nice to Have

• Experience working with large datasets or running SQL queries (not required)
• Background in data entry, operations, finance, or administrative roles

Why This Role

• Onsite exposure to a structured corporate environment
• Clear processes, hands-on work, and defined expectations
• Growth opportunity for early-career candidates or those transitioning from service or hospitality roles

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

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

Final date: Thursday, Mar 4, 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.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

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

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

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

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 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