Vogel alcove is an equal opportunity employer. We accept resumes for posted, open positions. We do not accept unsolicited resumes. Resumes are kept on file for six months.Cognitive machine learning vogel alcove is an at-will employer. Our open positions are listed below. We offer a competitive salary commensurate with experience and qualifications, a generous benefits plan and a great working environment.Cognitive machine learning qualified candidates should submit their resume and cover letter with salary history to hr@vogelalcove.Org. No phone calls, please.

General description: the director of the parent opportunity center directs and manages daily operations of the programs for families; provides supervision to clinical family support specialists; provides strategic leadership in program planning and evaluation; provides clinical support to staff; and provides supervision of all consultants and vendors supporting the parent opportunity center.Cognitive machine learning this position assures the department functions as an ethical and professional team that works effectively with all departments within the organization.Cognitive machine learning this position is a member of the senior management team and actively participates as a contributing member of this team to insure the effectiveness of the organization to carry out the mission of vogel alcove.Cognitive machine learning this position is also a member of the center management team and collaborates with director, early childhood programming; director, innovation; and the director of operations.Cognitive machine learning

A master’s degree in social work, LMSW, LCSW and clinical experience documented. A minimum of five years of program management experience and staff supervision and a minimum of three years working in programs serving children and families.Cognitive machine learning experience with homeless clients, preferred. Exhibit excellent written and verbal communication skills, professionalism, customer service, and team work.Cognitive machine learning strong organizational and computer skills. Ability to strategically plan, implement, and lead creative and innovative programming serving homeless children and families.Cognitive machine learning

Working with the vogel alcove development team, the assistant director, events and special projects is responsible for creating and executing projects and programs that support and enhance the organization’s fundraising efforts.Cognitive machine learning responsibilities include prospect research, assisting with donor cultivation, donor stewardship, annual campaigns, and events, grant writing support and provides administrative support to the president/CEO.Cognitive machine learning this position reports directly to the president/CEO and works closely with other directors – chief development officer, chief marketing officer, and director of grants and research.Cognitive machine learning

This is a regular, full-time position that serves as an assistant working collaboratively with classroom teachers. The assistant implements age-appropriate activities in coordination with the lead teacher according to the curriculum selected by vogel alcove, NAEYC standards and texas minimum standards.Cognitive machine learning assistants can work independently in a lead teacher’s absence but typically will work other classroom teachers. All activities support the social, emotional, cognitive and physical development of children assigned to a specific constant care group, which maintains an anti-bias, non-sexist, non-racist environment.Cognitive machine learning

This position is a perfect fit for college students or parents needing flexible monday-friday hours while their children are in school. The minimum requirements for the position are a CDA or 12 credit hours in early childhood education courses, associate’s degree preferred.Cognitive machine learning at least three years’ experience working with and caring for young children would be a plus. Salary: $12 per hour.

This is a regular, full-time position that plans and implements appropriate activities that support the social, emotional, cognitive, language and physical development of the children in our care.Cognitive machine learning the ideal candidate must be flexible and able to communicate well with parents, volunteers and staff. This position must work well with other teachers to support the team approach to classroom staffing.Cognitive machine learning the candidate also must understand that the families we serve are living in traumatic circumstances.

Vogel alcove, a 30+ year old nonprofit organization, has an opening for a full-time prep cook in their NAEYC accredited early childhood education program which serves children birth to twelve years of age from homeless and domestic abuse shelters.Cognitive machine learning we are looking for an energetic, enthusiastic individual who appreciates and understands the special needs and concerns of the children in our program and their families.Cognitive machine learning

We are a community funded center and we are growing by the day to support the children we serve. Our program serves infants 6 weeks to children 12 years of age and we are responsible for food production in accordance to the USDA CACFP program.Cognitive machine learning this position is responsible for all aspects of preparing food and other duties as assigned. The vogel alcove kitchen is licensed by the dallas county health department and produces quality meals and snacks to children adhering to serving sizes and focusing on fresh ingredients.Cognitive machine learning must have exceptional organization, math and technology skills to successfully perform functions required of this position.

Vogel alcove, an over 30 year old non-profit in dallas, whose mission is dedicated to the care and early childhood education of young children from homeless and domestic abuse shelters has an opening for a preschool lead teacher in their NAEYC accredited child care facility.Cognitive machine learning we are looking for an energetic, enthusiastic individual to work with children 6 weeks to five years in the classroom setting who is eager to learn about and provide therapeutic care to the youngest victims of homelessness.Cognitive machine learning