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State/Tribe Assignments

Published: March 17, 2015
Information Systems

States and tribes are encouraged to contact their analysts by telephone or email about a variety of issues, including the following:

  • The planning, design, development, installation, and operations of automated child welfare information systems
  • Advance Planning Document (APD) content and submission requirements
  • Information technology procurement, contract content, and prior approval requirements
  • Assessment process and requirements for a Statewide/Tribal Child Welfare Information System (SACWIS/TACWIS)

The following are the state and tribe assignments for DSS analysts.

Terry Watt, Director, Division of State Systems

State Assignments

Dian Carroll

Peter Howe

Mark Jazo

Geeta Mannes

Tresa Young

Delaware Colorado Alabama Arizona Alaska
Illinois Connecticut California District of Columbia Arkansas
Kansas Iowa Georgia Indiana Florida
Kentucky Massachusetts Idaho Louisiana Hawaii
Maryland Michigan Missouri Minnesota Maine
Nevada New Jersey Mississippi New York Montana
North Carolina Ohio Nebraska Puerto Rico New Mexico
North Dakota Oregon New Hampshire West Virginia Rhode Island
Oklahoma South Carolina Pennsylvania Wisconsin South Dakota
Wyoming Washington Tennessee Virginia Vermont


Native American Tribe Assignments

Dian Carroll – Eastern Band of Cherokee, Washoe, Chickasaw Nation, and Sac & Fox
Geeta Mannes – Salt River Pima Maricopa Indian Community (SRPMIC), Pascua Yaqui, and Navajo
Mark Jazo – Yurok, Smith River Rancheria, Shoshone-Bannock, Winnebago Tribe of Nebraska, and Ute Indian Tribe
Peter Howe – Keweenaw Bay, Siletz, Muckleshoot, Lummi Nation, Port Gamble, South Puget Intertribal Planning Agency (SPIPA), and The Confederated Tribes of the Colville Indian Reservation
Tresa Young – Aleut Community of St. Paul Island, Ketchikan Indian Community, Penobscot Indian Nation, Chippewa Cree Tribe, Salish & Kootenai, Oglala Sioux Tribe, Standing Rock Sioux Tribe (HQ in ND),and Rosebud Sioux

The state and tribe assignments are subject to change based on staff composition, current workload, and other factors.

Last Reviewed: June 19, 2015