Agency Priority Goal | Action Plan | FY 2024 – Quarter 1 PDF Free Download
1 / 11/11
100%
SENSITIVE BUT UNCLASSIFIED
Data
-Informed Diplomacy
Goal Leader(s):
Matthew Graviss, PhD
Chief Data and AI Officer, Managing Director of the Center for Analytics,
Office of Management Strategy and Solutions
Agency Priority Goal | Action Plan | FY 2024 – Quarter 1
Department of State
SENSITIVE BUT UNCLASSIFIED
Goal statement Goal Overview
2
Goal Statement
oThe Department’s global workforce will be empowered with the skills and tools to derive
actionable mission insights from data, and its data assets will be securely shared and
effectively managed. By September 30, 2025, in alignment with its Enterprise Data and AI
Strategies, the Department will double in-person training hours and the number of domestic
data experts; increase data capacity at Post by training Chief of Missions (COMs) and Deputy
Chiefs of Mission (DCMs); stand up a dozen Post Data Programs; double adoption of
enterprise analytics infrastructure; increase workload efficiencies through use of AI and AI
pilots; publish the Department’s first AI strategy, and modernize data governance.
Problem to Be Solved
oData consumers across the Department of State need to be able to access trusted and AI-
ready data in a timely manner to support decision-making and reduce workload burden.
oSome impediments are data and AI literacy, access to training, access to data assets, access
to modern analytic platforms and AI tools, secure data management and storage, and
transparent and effective governance.
What Success Looks Like
oThe Department of State’s global workforce will be empowered with the skills and tools to
derive actionable mission insights from data and trustworthy artificial intelligence to advance
global diplomacy and shape the future of statecraft.
oThe Department of State will have enhanced the data acumen of its global workforce and
improved tools and processes at its disposal to drive more effective, data-informed decision
making at all levels through enhanced data access, responsible artificial intelligence, and data
governance capabilities.
SENSITIVE BUT UNCLASSIFIED
Goal Target(s)
3
Achievement statement Key indicator(s) Quantify progress* Frequency
We will…
Name of indicator (units in
parentheses)
Start
value
As of
(Date)
Target
value
Current
value
As of
(Date)
Update cycle
1
Double
personnel
training
hours
Number of person
-hours trained
in data analytics (includes full
trainings, modules in larger non
-
data
-specific trainings, FSI and
tradecraft trainings, and online
self
-study courses)
62,610 10/1/23 105,000 69,976 1/1/24 Quarterly
2
Improve Post
leadership
data literacy
awareness
Number of Chief of Missions
(COMs and Deputy COM person
-
hours trained in data literacy
78 10/1/23 120 114 1/1/24 Quarterly
3
Increase the number of
domestic data experts
Number of Bureau Chief Data
Officers (BCDOs) hired at the
Department
410/1/23 20 91/1/24 Quarterly
4
Double
adoption of
enterprise analytics
infrastructure
Number of data assets available
on
Data.State 265 10/1/23 520 269 2/5/24 Quarterly
5
Increase workload
efficiencies through use of
AI and AI pilots
Number of
implemented AI use
cases reported on
Data.State (as
submitted via the inventory)
37 10/1/23 80 37 2/5/24 Annually
UPDATED
SENSITIVE BUT UNCLASSIFIED
UPDATED
Narrative – FY2024, Quarter 1
I. Indicators
Number of Person-Hours Trained: This indicator is ahead of schedule. The Department provided 7,366 person-hours of training in
FY24 Q1, bringing the cumulative number of person-hours trained to 69,976. This progress underscores the success of the Department’s
continued expansion of data literacy offerings to the workforce. The Department continues to make strides in expanding
training partnerships with the School for Applied Information Technology (SAIT) and other schools in FSI, promising to further increase
the rate at which we develop the Department’s workforce data capabilities.
Number of Chiefs of Mission (COMs) and Deputy COMs Person-Hours Trained: This indicator is ahead of schedule. The
Department provided 36 person-hours of training to COMs and Deputy COMs in FY24 Q1, bringing the cumulative number of person-
hours trained to 114. The Department continues to make strides in expanding training opportunities to Department leadership, promising
to further expand the Department’s data-literate culture at post.
Number of Hired Bureau Chief Data Officers (BCDOs): This indicator is ahead of schedule. The Department hired nine new BCDOs in
FY24 Q1, including a GS-14 1560-series temporarily assigned to the BCDO role on a TDY. This brings the cumulative number of BCDOs
to 13. The Department is committed to expanding BCDO hiring efforts and plans to submit a BCDO Hiring Implementation Plan Memo to
Congress by FY24 Q4.
Number of Data Assets Available on Data.State: This indicator is on track. The Department added four new data assets to the data
inventory and catalog in FY24 Q1, bringing the cumulative number of shared data assets to 269. The Department released an inventory
data call in FY24 Q1 that will likely result in a substantial increase in Q2 and Q3.
Number of Implemented and Inventoried AI Projects: This indicator is on track. There are 37 AI projects in the AI Inventory,
cumulatively. The inventory is currently collected on a yearly basis, per requirements from OMB. M/SS/CfA coordinates that inventory
and will do so in FY24, once OMB issues this year's guidance.
II. Key Milestones
AI Strategy: Launched First-Ever Enterprise AI Strategy on November 13, 2023.
Data Governance Operating Model: Finalized Data Governance Operating Model; Launching tactical-level data governance body in
FY24 Q2 to meet quarterly going forward.
Scalable Data Science Training Services: CfA's pilot with AI training partner DataCamp maxed out our use of licenses in FY23. We
expanded to 100 licenses in FY24 to accommodate increasing demand across the Department. Licenses are currently used by CfA staff
and select individuals and groups throughout the Department.
Existing Analytics Products from Other Bureaus: In FY24 Q1, the Department tasked domestic bureaus to update the enterprise data
asset inventory, and bureaus continue to add dozens of datasets and analytics products for others to explore.
Zero Trust Data Categorization Taxonomy: Finalizing this taxonomy in FY24 Q2 in line with the Department-wide data inventory
tasker.
SENSITIVE BUT UNCLASSIFIED
Goal Team
Foster a Data
and AI Culture
Unlock Innovation
with Analytics and AI
Leverage Mission-Driven
Technology
Effectively and
Responsibly Govern
Data and AI
The Office of Management Strategy & Solutions (M/SS) is the home of the Center for
Analytics (M/SS/CfA). Led by the Department’s Chief Data and AI Officer (CDAO), CfA is
charged with improving the Department workforce’s ability to leverage data as a strategic
asset and more efficiently and effectively use data to inform decisions at all organizational
levels, across the globe. In addition to the teams below, the CDAO is supported by the Deputy
CDAO, the Department’s Statistical Official, and the Department’s dual-hatted Chief Data
Scientist and Responsible AI Official (RAIO).
The Enterprise Analytics (CfA/Analytics) team uses data and analytics to help solve policy
and management challenges by advising, enabling, and partnering with entities across the
enterprise.
The Technology Modernization (CfA/Tech) team is a hybrid organization that is aligned to
both the CDAO and the Chief Information Officer (CIO) in the Bureau for Information and
Resource Management (IRM). This team is continuously researching and developing tools
that will make siloed information discoverable and interoperable.
The Enterprise Data Management (CfA/EDM) team is responsible for building the
Department’s capacity to inventory, align, govern, secure, and leverage data from across the
enterprise. It is also charged with modernizing the Department’s data policies and leading the
execution of the Department’s first-ever Enterprise Data Strategy and AI Strategy.
The Communications, Culture, and Training (CfA/CCT) team works to enhance employees’
capacities to effectively use data for informed decision making through training (FSI), building
a force of skilled data specialists, and fostering a culture of data and analytics enterprise wide.
SENSITIVE BUT UNCLASSIFIED
Goal Strategies
6
Goal Strategies Objectives Impact
Foster a Data and AI Culture
Empower a dynamic workforce that
responsibly leverages data and AI for
effective decision-making through
hiring, training, and support services.
• Provide Data and AI Training and
Support Services
•Hire for the Future
• Define Responsible AI Use
• Enhance Data Collaboration
Increased data and AI fluency enables
employees to recognize tasks optimal for AI
solutions, reduce time-to-decisions, and
optimize the amount of time spent on high-
impact activities aligned to the
Department’s mission.
Unlock Innovation with Analytics
and AI
Identify, test, and scale data and AI
assets, tools, and solutions to
compound successes while
appropriately mitigating risks.
• Facilitate Responsible
Experimentation
•
Pilot and Scale Artificial Intelligence
and Machine Learning Applications
• Provide Modern Analytic Tools and
platforms
Providing the workforce with data tools and
analyses enables evidence-based decision-
making across mission and operational
activities.
Leverage Mission-Driven
Technology
Integrate AI technologies into the
Department’s common analytics
environment to sustainably and
securely create, collect, store, protect,
and share data and AI applications.
• Define Data Architecture
• Fully Utilize Infrastructure for AI
Adoption at Department Scale
• Enable AI Technology Integration
• Modernize Acquisition of AI Tools
An enterprise scaled solution for problem
identification, experimentation, and
deployment equips the Department’s global
workforce with a new capacity to meet their
missions.
Effectively and Responsibly Govern
Data and AI
Enhance oversight and coordination to
assess data quality, manage
algorithmic risk, and ensure
trustworthy and ethical data and AI
use to inform decision-making.
• Establish and Maintain Data and
AI Governance and Policies
• Broker Appropriate Access to AI-
Ready Data
• Facilitate Data Quality Assurance
Responsible data management and AI
governance ensures the availability of high-
quality, trustworthy, and relevant data,
creating a foundation for accurate model
development, reliable insight generation,
and responsible and ethical use.
SENSITIVE BUT UNCLASSIFIED
Key Indicators
7
60,000
70,000
80,000
90,000
100,000
110,000
Start Value
FY24 Q1
Q2
Q3
Q4
FY25 Q1
Q2
Q3
Q4
Target
# of Person-Hours Trained in
Data Analytics
70
80
90
100
110
120
130
Start Value
FY24 Q1
Q2
Q3
Q4
FY25 Q1
Q2
Q3
Q4
Target
# of COM and Deputy COM
Person-Hours Trained
UPDATED
3
5
7
9
11
13
15
17
19
21
Start Value
FY24 Q1
Q2
Q3
Q4
FY25 Q1
Q2
Q3
Q4
Target
# of Hired BCDOs
SENSITIVE BUT UNCLASSIFIED
Key Indicators
8
UPDATED
250
350
450
550
Start Value
FY24 Q1
Q2
Q3
Q4
FY25 Q1
Q2
Q3
Q4
Target
# of Data Assets on
Data.State
35
45
55
65
75
85
Start Value
FY24 Q3
FY25 Q3
Target
# of Implemented AI Use Cases
SENSITIVE BUT UNCLASSIFIED
Milestone Summary
Key Milestone
Milestone Due
Date
Milestone
Status
Change
from last
quarter
Owner
Comments
Launch AI strategy
Q1, FY 2024 Complete MSS
Launched First
-Ever Enterprise AI Strategy on
November 13,
2023
Create Data Governance Operating Model
Q1, FY 2024 Complete MSS
Finalized Data Governance Operating Model;
Launching tactical
-level data governance body in
FY24 Q2, which will meet on a quarterly basis going
forward
Create sensitive data categorization taxonomy
aligned to Zero Trust principles
Q1, FY 2024
In progress
MSS
Finalizing this taxonomy in Q2 in line with the
Department
-wide data inventory tasking
Update Departmental policies to reflect innovations
in the AI landscape for FY24
Q2, FY 2024
In progress
MSS
Establish and formalize process of hiring and
onboarding LE data expertise in our overseas
missions
Q3, FY 2024
In progress
MSS
Establish data quality program to improve access to
and reliability of high
-quality data assets
Q3, FY 2024
In progress
MSS
Complete four data/AI campaigns by end of FY24
Q4, FY 2024
In progress
MSS
Analyze inventoried/cataloged data assets on
data.state for quality
Q1, FY 2025
Not started
MSS
Update Departmental policies to reflect innovations
in the AI landscape for FY
25
Q2, FY 2025
Not started
MSS
Have a dozen posts participate in the Post Data
Program (PDP) to increase capacity to leverage data
analytics
Q4, FY 2025
In progress
MSS
Complete additional four data/AI campaigns by end
of FY25
Q4, FY 2025
Not started
MSS
Expand data and analytics training modules into
additional internal training courses for Civil Servants,
FSOs, and Chiefs of Mission
Q1, FY 2024-
Q4, 2025
In progress
MSS/FSI
The Department is continuing its pilot with an
industry partner and will continue
to assess
scalability.
Find and share the existing enterprise analytics
products from other bureaus in accordance with
Zero Trust taxonomy
Q1, FY 2024-
Q4, FY 2025
In progress
MSS
In FY24 Q1, the Department tasked domestic
bureaus to update the enterprise data asset
inventory, and bureaus continue to add dozens of
datasets and analytics products for others to
explore.
Key Milestones
9
UPDATED
SENSITIVE BUT UNCLASSIFIED
Data Accuracy & Reliability
Additional information
10
Data Source
Accuracy
Reliability Comments
Goal Strategy #1: Foster a Data and AI Culture
Foreign Service Institute Course
Attendance (Goal Targets 1 and 2)
High High
Will be used to determine person
-hours trained at Department-
sponsored courses
M/SS/CfA
Events Attendance Log
(Goal Target 1 and 2) Med High
Will be used to determine person
-hours trained at Department-
sponsored training events
Bureau of Global Talent
Management (Goal Target 3) High High
Will be used to determine number of BCDOs recruited
Goal Strategy #2: Unlock Innovation with Analytics and AI
Enterprise Data Inventory High High
Will be used to determine number of uses of data, analytics, and AI
products
Goal Strategy #3: Leverage Mission-Driven Technology
Enterprise Data Architecture High High
Will be used to determine the number of organizational units
leveraging common infrastructure
Goal Strategy #4: Effectively and Responsibly Govern Data and AI
Foreign Affairs Manual High High
Will be used to determine if Department has updated its data and
AI policy, including data domains and data taxonomy.
SENSITIVE BUT UNCLASSIFIED
Additional Information
11
Contributing Programs
Organizations Program Activities Regulations Policies Other Federal
Activities
•
Office of
Management
Strategy and
Solutions
(M/SS)
•
Enterprise Data
and AI Council
(EDAC)
•
Bureau of
Information
Resource
Management
(IRM)
•
Foreign Service
Institute (FSI)
•
Bureau for
Global Talent
Management
(GTM)
• Cultivate a Data
and AI Culture
•
Unlock
Innovation with
Analytics and AI
•
Leverage
Mission-Driven
Technology
•
Effectively and
Responsibly
Govern Data
and AI
•
Federal Data
Strategy 2020
Action Plan
• Geospatial Data
Strategy Act of
2018
•
Foundations for
Evidence-
Based
Policymaking
Act of 2018
•
E.O. 13960
•
OMB M 13-13
•
OMB M 19-23
•
OMB M 22-09
•
20 FAM: Data
Policy
•
Enterprise Data
Strategy
•
Enterprise
Artificial
Intelligence
Strategy
•
President’s
Management
Agenda (PMA)
