Data Management And Analytics - Associate Faculty

Salary: See Position Description
Location : Mount Vernon, WA
Job Type:Associate Faculty - part-time
Job Number: A23-007
Department: Professional Technical Education
Opening Date: 11/03/2023
Position Summary
Skagit Valley College (SVC) is accepting applications for a Data Management & Analytics (DATA) Associate Faculty (part-time).
Data Management and Analytics (DATA) is a forward-thinking, interdisciplinary program that allows students to serve as a contractor, consult for businesses, or get an entry level job in the area of Data Management and Analytics. This position will provide instruction for various DATA course offerings. The DATA curriculum focuses on the theory, organization, and process of data collection, transmission, analysis, and utilization. More advanced concepts such as cloud ecosystems, data engineering, machine learning web services, and data security are taught in the DATA program.
This is a hybrid program. This position will provide classroom instruction and a weekly connection opportunity for the program cohort on the Mount Vernon campus, virtual instruction, and student support in multiple modalities. This position will report to the Academic Dean.
Part-time faculty positions are typically filled on a quarterly basis. Part-time faculty are responsible for preparing and providing instruction to students as required by program design.
SVC is nationally known for a strong commitment to student success. We are looking for faculty who show exceptional classroom skills and who challenge students through innovative inclusive pedagogy and teaching strategies. Faculty and staff at SVC respect and work with diverse students, colleagues, staff and others in a campus climate that promotes innovative teaching, quality scholarship, a diverse learning environment, and equitable access and educational achievement for all students.
Skagit Valley College adheres to a set of guiding principles:
Respect, Integrity, Open and Honest Communication, Collaboration, and Compassion
Duties and Responsibilities

• Provide effective classroom and online instruction in Intro to Data and its Applications; Exploring Data Science and Technological Applications; Cloud and Technological Ecosystems; Relational Databases and SQL; Big Data & Data Analytics; Business Intelligence and Predictive Analytics; Ethics and Law in Data and Analytics; Current Trends in Computing Futures; and/or Data Security;
• Deliver culturally appropriate curriculum that reflects diversity of student experience;
• Express appropriate awareness of the history of underrepresented groups and promote an equitable work and learning environment;
• Create a positive learning environment for students using diverse teaching methods to support and enhance student success;
• Develop and provide class syllabi to students and the academic office;
• Assess, monitor, and document student performance;
• Work collaboratively with other program faculty teaching courses that quarter;
• Recommend modifications and improvements to course curriculum and program design;
• Fulfill part-time faculty responsibilities in accordance with the negotiated agreement and Skagit Valley College policies.

Knowledge, Skills, and Abilities:

• Knowledge of modern Data Management and Analytics concepts, techniques, and tools;
• Knowledge of cloud ecosystems, architectural principles, security best practices, and key cloud services for Data Management and Analytics;
• Knowledge of data modeling with modern BI platforms including Power Query;
• Knowledge of data science real-world scenarios;
• Knowledge of data security risks, access control and permissions; disaster planning, and organizational security preparation, processes, and responses;
• Knowledge of data governance frameworks;
• Knowledge of machine learning; preparing data for predictive modeling; and machine learning web services;
• Ability and willingness to employ continuous improvement in curriculum, teaching, and assessment;
• Ability and willingness to teach at the Mount Vernon campus, online, and in a hybrid/ multiple-modality format;
• Impart a productive academic mindset that teaches all students-regardless of background-that they are capable of learning with practice and effort;
• Familiarity with active learning strategies inclusive of all cultures and backgrounds;
• Act according to the principles of integrity, respect, open and honest communication, collaboration, and compassion.

Qualifications
Minimum Qualifications:

• Three (3) years of Data Management and Analytics experience;
• Experience in technology ecosystems in the cloud using ethical practices and security standards;
• Able to successfully work in virtual and hybrid environments;
• Teaching experience in education or industry;
• Strong computer and web technological skills.

Desired Qualifications:

• Five (5) years of Data Management and Analytics experience including two (2) years of leadership or project management;
• Industry experience in technology ecosystems in the cloud, specifically with Data Management and Analytics services;
• Industry experience with machine learning and predictive analytics;
• Bachelor's Degree or higher in Data Analytics, Data Science, Informatics, or related field
• Higher education teaching experience, especially in a community and technical college setting.

Salary, Benefits, Conditions of Employment, Application Procedure
Salary and Benefits:
The salary rate for part-time faculty is in accordance with the negotiated agreement and may be subject to change based on legislative mandates. In order to be eligible for benefits, state regulations must be met.
Rate of Pay: Faculty compensation units (FCU) is computed by total hours (lecture, lab, clinical) identified on the approved course outline for a given course, divided by eleven. Part-time faculty pay is computed by multiplying the faculty compensation unit rate by the number of faculty compensation units. The current FCU rate at Step A is $763.00
Example of Associate Faculty pay (this is for illustrative purposes only):

• Course: BISC 220 | 33 lecture, 44 lab
• 33 + 44 = 77
• 77/11= 7 FCUs
• A Step A faculty member would be paid 7 x FCU rate $763 = $5,341

Conditions of Employment:

• Prior to employment, a background check including criminal record history will be conducted. Information from the background check will not necessarily preclude employment but will be considered in determining the applicant's suitability and competence to perform in the position.
  Additionally, pursuant to RCW 28B.112.080, applicants must declare whether they are the subject of any substantiated findings of sexual misconduct in any current or former employment or are currently being investigated for, or have left a position during an investigation into, a violation of any sexual misconduct policy at the applicant's current or past employer. By law, post-secondary education institutions cannot hire an applicant who refuses to declare the existence or non-existence of an investigation or findings subject to this statute.

• In the interest of providing a healthy, safe, and secure educational and work environment, and in order to meet the requirements of federal legislation, it is the policy of Skagit Valley College to maintain an alcohol and drug-free workplace for our employees and students.
• If hired you will be required to provide proof of identity and documentation of U.S. Citizenship or appropriate authorization to work in this position as required by the Immigration Reform Control Act of 1986.
• Completion of academic degree(s) will be verified through receipt of official transcripts at the time of hire.

Application Procedure:
To be considered for this position, applicants must:

1. Meet the minimum qualifications, and
2. Submit a complete application to the online recruitment system at that includes the following:

• The online application, which includes answers to all supplemental questions and contact information for at least three (3) professional references;
• A current resume; (Attachment: Resume)
• A cover letter/letter of interest addressing the minimum and desired qualifications for the position. (Attachment: Cover Letter)

Application Deadline: Application materials will be accepted until this position is filled. Applications may be kept on file to be considered for openings that may occur in the future. The College reserves the right to hire one or more candidates.
Application Assistance: If you have questions about the position or require special accommodation, you may contact Human Resources at (360) 416-7794, Monday through Thursday, 8:00 am to 5:00 pm Pacific Time. SVC complies with the Americans with Disabilities Act. Applicants with disabilities who require assistance with the recruitment process may leave a TDD/TTY message at (360) 416-7718 by the application closing date. Information on SVC's Reasonable Accommodation policy can be found at OPPM 3040.
For questions regarding the online application system, you may call NEOGOV Applicant Tech Support at (855) 524-5627 from 8:00 am to 5:00 pm Pacific Time. For best results, apply using one of the following browsers supported by NEOGOV: Google Chrome, Mozilla Firefox, Safari, Microsoft Edge, and later versions of Internet Explorer.
SVC Annual Security Report: The U.S. Department of Education and the federal Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act require all colleges to provide information to current and prospective students and employees about campus safety policies, procedures, and statistics on certain crimes, including hate crimes, domestic violence, dating violence, stalking, and sexual assault. We are required to report our campus security information and statistics in an Annual Security Report, which is updated annually each October. All prospective employees may obtain a copy of the Annual Security Report from the Human Resources Office by calling (360) 416-7794 or by accessing the Report at:
Skagit Valley College is an equal-opportunity employer and is committed to providing equitable opportunities for all groups in terms and conditions of employment and personnel practices.
Skagit Valley College provides a drug-free environment and does not discriminate on the basis of race, color, creed, religion, national origin, sex, sexual orientation, and/or gender identity, pregnancy, genetic information, age, marital status, disability, honorably discharged veteran or military status in its programs and employment. For inquiries regarding non-discrimination policies, contact Carolyn Tucker, Vice President of Human Resources/EEO, 360.416.7794 or For inquiries regarding sexual misconduct compliance, contact Title IX Coordinator, Sandy Jordan, 360.416.7923 or Mailing address: 2405 E. College Way, Mount Vernon, WA 98273. All faculty and staff hired at Skagit Valley College are encouraged to embrace, continually support, and enhance diversity and equity on our campus and in our community.
Why work at Skagit Valley College?Nestled between the Cascade Mountains and Puget Sound in the northwest corner of Washington State, Skagit Valley College offers a unique and highly regarded transfer curriculum and professional-technical programs that respond to the workforce needs of the region. The College celebrates diversity in its staff and students, and adheres to a set of guiding principles: respect, integrity, open and honest communication, and collaboration.
Benefits
Benefits eligibility is determined in accordance with state regulations.
01
Select from below the options that best describe your highest education attained.

• Not applicable.
• High School diploma, GED, or equivalent.
• Some college: one (1) to two (2) years of college.
• Some college: three (3) to four (4) years or more of college.
• Associates degree or equivalent.
• Bachelor's degree or equivalent.
• Master's degree, or higher degree.

02
Specify the field of study of your highest education attained if applicable, or if further clarification is needed relating to your highest education attained, please describe in the text box below (if not applicable, type "n/a")
03
Select from below the options that best describe your experience Data Management and Analytics, or closely-related field.

• None / not applicable - no relevant experience.
• 1 month to 6 months of experience.
• 7 month to 11 months of experience.
• 12 months to 23 months of experience.
• 24 months to 35 months of experience.
• 36 months to 47 months of experience.
• 48 months to 59 months of experience.
• 60 months or more of experience.

04
In the text box below, describe how you meet this qualification: technology ecosystems in the cloud using ethical practices and security standards. Responses such as "see resume" or similar may be considered incomplete and result in disqualification.
05
I am aware that a satisfactory result from a background check is a requirement of this position.

• Yes
• No

Required Question