Tools alone are not the answer: Career roles and growth tracks for data professionals. In today’s (Big) data-driven information economy, it is even more critical to focus on data as an asset that directly supports business imperatives. But tools alone are not the answer. Organizations that want to rise above their competition can only do so with the help of skilled professionals who know how to manage, mine, and draw actionable insights from the multitudes of (Big) data sources. Numerous new roles and job titles have emerged to address the high demand for specialized data professionals. This webinar brings together three individuals well qualified to contribute to this important industry-wide discussion of data jobs. We will take a closer look at these newer data management roles and present recommendations on how to enhance career paths. Check out more webinars here: http://www.datablueprint.com/resource-center/webinar-archive/

1. Emerging Trends
in Data Jobs
Peter Aiken, PhD
Mehmet Orun, CDMP
Eva Smith, CDMP
1

2. Panelist Introductions:
Different Backgrounds Coming Together
I want to find the best
people I can hire, and
the best ways I can
continue to develop
them through their
career, while advising
my consulting clients
how they can do the
same
As an educator and
mentor, I want to be
able to advise students
who are mid-level
professionals into data
management careers
and help them to be
successful
Mehmet Orun, CDMP
Director, Data Solutions
Salesforce.com
Eva Smith, CDMP
Director of IT and eLearning
Edmonds Community College
I am very concerned
with raising the
profile of our sole,
non-depletable, non-
degrading, durable,
strategic asset within
organizations
Peter Aiken, PhD
Founding Director, Data Blueprint
Associate Professor, VCU
Past President DAMA International
2

3. We want to enable
“Intentional Development”
Programs to develop the
individuals
Framework for finding the best
development paths
Basic Data
Management Principles
Job Titles
& Roles
Working with Data Enabling Data in
Systems
Specify/Govern Design
Use/Maintain Build
Analyze Store/Secure
Title/Role Scope Planning
Horizon
Operational
Analyst
Daily
Transactions
Daily - < 3
months
Data Architect … 1-3 years
Chief Data
Officer
… 5+ years
Main Duties Primary Tasks
Data Modeling Define Scope,
Write Definitions, …
Data Analysis Identify DQ Metrics…
Data Governance ID Responsible Partiy,
Manage Change, …
3

4. What is the Data Profession
and Why is it So Hot?
4

5. Why is the Data Profession so Hot?
(It is not just about “Data Scientists”)
Source: EMC2 Big Data Study
5

6. Why is the Data Profession so Hot?
(It is not just about “Data Scientists”)
6

7. There are many roles and career paths
Other
Data Profession
Starting Points Specialized and Senior Roles
Support
Specialist
Developer
Business Analyst
Data Steward
Privacy/Compliance
Specialist
Database
Designer
Data Analyst
Data Governance
Manager
Data Modeler
Chief Info
Security Officer
Chief Data
Officer
Data Architect
System
Administrator
7

8. How does someone get into
this profession?
This is an ‘elusive’, often mid-career profession,
without clear entry points and training paths
Technical training is
easy. To be good or
effective, it is about
aligning skills and
passion, with effective
mentoring
Yes, but what do I tell
someone who is just
getting started?
And how can we
institutionalize the
knowledge skills and
abilities transforming
this from a craft to a
recognized profession
8

9. Typical Answers from DM
Professionals
How I got into this career...
• I just fell into this role
• An opportunity came along in my company
• Another data professional was a mentor to me
• I found a professional association (DAMA, TDWI) and
started attending meetings, classes, webinars and
conferences.
• I took a class that sparked my interest and decided to
learned more on my own
• I've been in IT for 10+ years and had an epiphany that if
we got the data right then a lot of other aspects of IT
would become easier
9

10. Not So Typical...
• A college or high school career advisor steered me
toward this profession
• I pursued a college degree in data management and
got a job
• I found a job description in the Department of Labor
Occupational Handbook or other online career
guidance site
10

11. The “Elusive” Data Management Career
Work + other IT
experience
vs. direct from college
??
Principal Analyst /
Enterprise Architect
Manager / Executive
In 2006, based on the results of a DAMA
International survey, typical data management
professional was:
● ~45 years old
● Had ~20 years of work experience with ~12
years working with data
● Typically began a professional career in
mid-twenties, joined the data management
field about 8 years later
In 2013, demographics evolved
● Strata Big Data conference dominated by
mid 20s-late 30s analyst/developers
● Analytics emphasis attract talent from
management and hard sciences
● Academic programs continue to evolve,
and allow earlier entry to the field
11

12. The Classification Problem…
What do we want to be when we grow up…. 12

13. Many roles, specializations, titles….
Or on business cards…
Information Architect
Information Quality Program Manager
Information Resource Analyst
Information Specialist
Information Support Manager
Information Systems Analyst
IT Project Lead
IT Project Manager
IT Architect
IT Consultant
Data Analyst
Data Scientist
Financial Data Analyst
Operations Data Analyst
Compliance Analyst
Compensation Analyst
…
13

14. Roles are about what we want to do
and with what we want to work
14
Working with Data Enabling Data in Systems
Specify/Govern
* Data Governance Manager
* Compliance Specialist
Design
* Data Modeler / Database Designer / SOA Architect
* Data Architect
* Information Architects (i.e. presentation of information)
Use/Maintain
* Data Steward
Build
* Integration Developer (ETL, EAI, EII, B2B, DW, MDM…)
* Application Developer
* Reporting & BI Developer (Metrics, Dashboards…)
Analyze
* Data (in general)
* Data (in specific context, e.g. Finance)
Store/Secure
* DBA
* Security Admins
What are your top two natural interest and tendencies?

15. Sample of reported job titles from
O*Net Occupational Handbook:
Database Administrator (DBA), Database
Analyst, Database Administration Manager,
Database Coordinator, Database
Programmer, Information Systems Manager,
Management Information Systems Director
(MIS Director), Programmer Analyst,
Systems Manager
O*Net Occupational Handbook
While roles maybe common, common title
definitions still lag behind…
10 years ago…
15

16. “Newer” Data Related
Job Categories
Today
O*Net Occupational Handbook… even after the recent evolution and expansions
16

17. We are not there yet
“Design strategies for enterprise database
systems and set standards for operations,
programming, and security. Design and
construct large relational databases.
Integrate new systems with existing
warehouse structure and refine system
performance and functionality.
Database Architect:
“This title represents an occupation for
which data collection is currently underway.”
17

18. So how does someone intentionally
prepare for this career?
Abilities
(my dependable
strengths)
Knowledge
(what I know)
Skills
(what I can do)
18

19. Preferred attributes required of the
typical Data Management
Professional*
*From Facilitated Workshop on the Data Management Profession, December 6, 2013, Edmonds Community College
Blue = most important aptitudes for the DM
Professional
Works
Independentl
y
Can see the big
picture
Sees patterns
and
relationships
Good organizer
of information
Good
listener
Good with words
Thinks visually
Inquisitive
Self Confident
Can handle
ambiguity
Is “thick skinned”
Markets well
Can work through a
problem to a
solution
Self motivated
Analytical yet
creative in problem
solving
Communicates well
Articulate and
friendly
Oriented more
toward business
than technical
matters
Abilities
19

20. Recommended
Knowledge Areas for Data
Professionals
*From Facilitated Workshop on the Data Management Profession, December 6, 2013, Edmonds Community College
Knowledge
20

21. Preferred
Core Skill Sets for
Data Management
Professionals
*From Facilitated Workshop on the Data Management Profession, December 6, 2013, Edmonds Community College
Skills
21

22. Work Profile
*From Facilitated Workshop on the Data Management Profession, December 6, 2013, Edmonds Community College
22

23. Information
Technology
Enterprise
Architecture
(EABOK)
Business Analysis
(BABOK)
Project
Management
(PMBOK)
Business/Industry
Knowledge
Data Management
(DAMA-DMBOK)
Multiple Knowledge Domains
23

24. How do I get hired into this Career?
What are my Growth Paths?
Attributes
(my dependable
strengths)
Knowledge
(what I know)
Skills
(what I can do)
Understand
the Role
Skills
(what I can do)
Knowledge
(what I know)
Understand
the
Expectations
Understand
how the role
can Evolve
24

25. Sample Job Profile: Data Analyst
Data Analyst is a data professional who analyzes content
against information expectations or specifications, looks for
patterns of conformance or deviation, and seeks to identify
ways of building new rules, insights, metrics, data
improvement approaches.
Data Analyst is a data professional who analyzes content
against information expectations or specifications, looks for
patterns of conformance or deviation, and seeks to identify
ways of building new rules, insights, metrics, data
improvement approaches.
Source: Data Management Association (DAMA) Dictionary of Data ManagementSource: Data Management Association (DAMA) Dictionary of Data Management
Typical Academic Background:
Computer Science
Information Systems
Management Information Systems
Information and Communications
Technology
Mathematics
Other Academic Background/Career Paths
Include:
Business
History
Science
…
25

26. Data Analyst Levels and Titles
Typical Title Typical Role
Associate Data Analyst /
Operations Analyst
Operational monitoring and support, execution of
pre-determined tasks. Conducting research against
well defined data sets.
Data Analyst /
[Functional Area] Analyst
Data profiling and analysis against new data sets or
scenarios looking for patterns in response to
business needs. Data set comparisons for
inconsistency and quality identifications. Scripts to
format data for improved processing.
Senior Data Analyst
Data profiling and analysis against new data sets or
scenarios looking for patterns in response to
business needs. Data set comparisons for
inconsistency and quality identifications. Scripts to
format data for improved processing.
Lead Data Analyst /
Data Scientist
Defining detailed, end-to-end data quality
management and improvement processes for one
or multiple solutions. Driving requirements for
metrics and data quality improvement areas, as well
as comprehensive evaluations of different
improvement techniques. Coordination and
mentoring of other analysts.
Principal Data Analyst /
Senior+ Data Scientist
Defining detailed, end-to-end data quality
management and improvement processes for one
or multiple solutions. Driving requirements for
metrics and data quality improvement areas, as well
as comprehensive evaluations of different
improvement techniques. Coordination and
mentoring of other analysts.
26

27. Typical Role
Demonstrated
Behavior
Key Skills
Sample: BI Need
Sample: DQ Need
Operational monitoring and support, execution of pre-determined tasks.
Conducting research against well defined data sets.
Disciplined execution, consistent results, timely escalations
Data aggregation through spreadsheets, use of WYSYIG reporting or query
tools, simple SQL
Creates reports against pre-defined metrics, aggregations or calculations
against pre-defined tables against specific business questions
Run monitoring scripts, identify key area of concern, report on trends
Associate Data Analyst
27

28. Typical Role
Demonstrated
Behavior
Key Skills
Sample: BI Need
Sample: DQ Need
Data profiling and analysis against new data sets or scenarios looking for
patterns in response to business needs. Data set comparisons for inconsistency
and quality identifications. Scripts to format data for improved processing.
Ability to own and drive data quality and test assessment for a a feature across
data sources, understanding how each hand off point may impact content.
Complex SQL and scripting. Advanced analytics and aggregations for trends
research and deviation analysis. Ability to define formulas to test business rules
of increasing complexity against thresholds, define alerts.
Develop data driven formulas that will act on trends, supported by alerts to notify
stakeholders when significant deviations occur. Translate business metrics into
actionable, technical metrics.
Develop database tables and associated scripts to capture data as well as
metadata to support trend analysis. Effective design would demonstrate
automation code to be able to run on the metadata for sustained operations.
Senior Data Analyst
28

29. Hiring and Promoting Resources
Increasingly more about Skills and
Consistently Demonstrated Behavior
vs.
# of years of experience, list of projects
Soft Skills matter!!
- Interviewing
- Listening
- Telling Data Stories
(see Attributes slide for more examples)
29

30. What about more senior roles?
30

31. Copyright 2013 by Data Blueprint
Requisite (Natural) Order Organization Principles
31
Adapted from Elliott Jaques Levels Theory
and other materials from http://globalro.org
RO
Level
Organizational
Title
Data
Professionals
Title
in charge
of ...
Planning
Horizon
7 CEO
Global
Organization
20+ years
6 EVP
Multi-Business
Organization
10 - 20
years
5
President/
Managing
Director
Business Unit
5 - 10
years
4
VP/General
Manager
Organizational
Unit
2 - 5 years
3
Director/
Department
Manager
Department
Evolution/
Optimization
< 2 years
2
(often first)
Line Manager
Operational
Function
< 1 year
1
Front Line/
Operator
Prescribed
Function
< 3 months
RO Principles ...
• Patterns of language moving from
the concrete to higher and higher
levels of abstraction
• Approaches to problem solving
moving through: declarative –
cumulative – serial – parallel
• Changes in the number of
functions/areas of knowledge that
needed to be understood in making
a decision (few going to many)
• Thanks to Ken Sheppard, PhD
President, Global Organization Design Society

32. Copyright 2013 by Data Blueprint
Data Management Career Titles
32
RO
Level
Organizatio
nal Title
Data
Professionals Title
in charge
of ...
Planning
Horizon
7 CEO n/a
Global
Organization
20+ years
6 EVP Chief Data Officer
Organizational Data
Governance
BU/Process Data
Governance
Multi-Business
Organization
10 - 20
years
5
President/
Managing
Director
Chief Data Officer
Organizational Data
Governance
BU/Process Data
Governance
Business Unit
5 - 10
years
4
VP/General
Manager
Deputy CDO
Department Data
Governance
Enterprise Architect
Organizational
Unit
2 - 5 years
3
Director/
Department
Manager
Data Director
Chief Data Steward
Portfolio Architect
Department
Evolution/
Optimization
< 2 years
2
(often first)
Line Manager
Data Manager
Data Modeler
Operational
Function
< 1 year
1
Front Line/
Operator
Data Steward
Prescribed
Function
< 3 months
Managers of ...
• Data architects
• Data engineers
• Data designers
• Database designers
• ETL specialists
• Model Curriculum Framework
Clusters?
– Business and Systems Analysts
– Data Warehouse Specialist
– Data Analysis or Data Modeling
– Database Administration and
Development
– Project Management
– Quality Assurance / Test Analyst
– Technical Trainer or Writer
– Data Architect or Administrator

33. Evolutions in Education
33

34. Attempt to engage academia:
DAMA Curriculum Framework (2005)
34

35. Recent Academic Trends:
More Curriculum Frameworks (2012)
http://library.umassmed.edu/data_management_frameworks.pdf
35

36. Academic Trends:
Masters Degree and
Certificate Programs
http://www.informationweek.com/big-data/big-data-analytics/big-
data-analytics-masters-degrees-20-top-programs/d/d-id/1108042?
PACE-IT
Certificate in Data Management
(Being Developed through a US Department of Labor Grant)
36

37. Academic Trends:
Career Guidance
http://education-portal.com/articles/
Data_Management_Analyst_Job_Description_and_Requireme
nts_for_Becoming_a_Data_Management_Analyst.html
“Information on specific programs may be
found at Data Management International
(DAMA) www.DAMA.org”
37

38. CDMP Professional Certification
38

39. Refinement of the
Data Management Body of Knowledge
Data Management Functions
DMBOK v. 1
Data Management Functions
DMBOK v. 2
Was Data
Development
New
Function
39

40. Upcoming Learning & Discussion Opportunities
40
Designing the Smarter Organization
5 T H B I E N N I A L O R G A N I Z A T I O N D E S I G N W O R L D C O N F E R E N C E
LEARN HOW to identify and
use your organization’s work
levels and talent capability to
design and align – strategy –
analytics – structure – people
- innovation to capture big
data’s full potential.
DISCUSS AND SHARE with
your peers from around
the world – CEOs, CHROs,
CIOs, CDOs and the senior
consultants who support
them.
July 31-August 5,
2014
IBM Palisades
Conference Center
New York City area
Click for detailed
conference information.
HRPS and SHRM affiliates
receive a 15% discount
on the conference price.
Scholarships for non-
profit executives and
academics.
Email or call the Society
at +1-416-463-0423
www.globalro.org
Engage before, during, and after the conference:
Before
identify and articulate strategic design issues.
oncept knowledge through our e-learning modules.
During
practitioners share their latest insights and experiences in
smarter design.
After

41. Thank you!
Mehmet Orun, CDMP
Director, Data Solutions
Salesforce.com
Eva Smith, CDMP
Director of IT and eLearning
Edmonds Community College
Peter Aiken, PhD
Founding Director, Data Blueprint
Associate Professor, VCU
Past President DAMA International
Now it’s your turn!
41

42. Copyright 2013 by Data Blueprint
Upcoming Events
42
April Webinar: Data Quality Engineering
April 8, 2014 @ 2:00 PM – 3:30 PM ET
(11:00 AM-12:30 PM PT)
May Webinar: Data Architecture Requirements
May 13, 2014 @ 2:00 PM – 3:30 PM ET
(11:00 AM-12:30 PM PT)
Sign up here:
• www.datablueprint.com/webinar-schedule
• www.Dataversity.net
Brought to you by:

43. Tell your story…
• What is your job title?
• What is your highest level of education?
• What was your degree major(s)
• How long have you been working in Data Management?
• What are the top five skills you need to perform your job?
• What are the top five knowledge areas needed to perform
your job?
• What are the top five personal traits that contribute to
success in the data management profession?
• Please share your personal story about how you came into
the data management profession so that others can learn
from your experiences.
43

44. Appendix
44

45. Copyright 2013 by Data Blueprint
Thank to input and consultation from ...
• Ken Sheppard, PhD
President, Global Organization Design Society
ken.globalro@gmail.com - http://globalro.org
45

46. Copyright 2013 by Data Blueprint
Designing the Smarter Organization
5 T H B I E N N I A L O R G A N I Z A T I O N D E S I G N W O R L D C O N F E R E N C E
LEARN HOW to identify and
use your organization’s work
levels and talent capability to
design and align – strategy –
analytics – structure – people
- innovation to capture big
data’s full potential.
DISCUSS AND SHARE with
your peers from around
the world – CEOs, CHROs,
CIOs, CDOs and the senior
consultants who support
them.
July 31-August 5,
2014
IBM Palisades
Conference Center
New York City area
Click for detailed
conference information.
HRPS and SHRM affiliates
receive a 15% discount
on the conference price.
Scholarships for non-
profit executives and
academics.
Email or call the Society
at +1-416-463-0423
www.globalro.org
Engage before, during, and after the conference:
Before
identify and articulate strategic design issues.
oncept knowledge through our e-learning modules.
During
practitioners share their latest insights and experiences in
smarter design.
After
46

47. Scope of the Profession
Data Analyst
Data Architect
Data Modeler
Data Governance
Analyst/Manager
Database
Administrator
IT Security
Administrator
Integration
Analyst
ETL Programmer
Document &
Content Metadata
Specialists
MDM Specialist
Master Data
Architect
DW Specialist
BI Analyst
Metadata Architect
Metadata
Librarian
Data Quality Analyst
Enterprise Architect
Jobs / Specializations
47

48. Copyright 2013 by Data Blueprint
Level 2 - Data Manager
48
RO
Level
Organizational
Title
Data
Professionals Title
in charge
of ...
Planning
Horizon
1
Front Line/
Operator
n/a
Prescribed
Function
< 3 months
2
(often first)
Line Manager
Data Manager
Operational
Function
< 1 year
• Not planning horizon
– but Time for the longest task in the role
• Able to manage groups of data
professionals
– Understands both the technical nature of
their work but also how it complements
specifics in the business
• Focus:
– Identifies and delivers the current and
(immediate) future tactical data needs of
this organization
– Back office
– Risk concept: avoidance
• Note: The vast majority of data
professionals also have
– Little formal training;
– A largely technical focus
– An emergent body of knowledge;
– No recognition of the role of their craft by
IT peers
– No governance role
– Source of future CDOs

49. Copyright 2013 by Data Blueprint
Level 3 - Data Director
49
RO
Level
Organizational
Title
Data
Professionals Title
in charge
of ...
Planning
Horizon
1
Front Line/
Operator
n/a
Prescribed
Function
< 3 months
2
(often first)
Line Manager
Data Manager
Operational
Function
< 1 year
3
Director/
Department
Manager
Data Director/
Data Steward
Department
Evolution/
Optimizatio
n
< 2 years
• Focus: How can data be better
leveraged?
– Efficient support for data costs (i.e.,
regulatory compliance)
– Business/data reengineering
improvements
– Annual focus cycle
– Risk concepts: data quality, accuracy,
recovery, failure to meet regulatory/
compliance deadlines/requirements
• (Departmental) Data Director
– Simultaneously is the unit's data
steward
– Unit level expertise
– Application or application family context
(e.g.; Oracle Applications)
– Owns processes, supporting
technologies, and personnel required to
advantageously share the area's data
– Possess many of the requisite CDO
KSAs, but lacks CDO authority and
cannot influence IT

50. Copyright 2013 by Data Blueprint
Level 4 - Deputy CDOs
50
RO
Level
Organizational
Title
Data
Professionals Title
in charge
of ...
Planning
Horizon
1
Front Line/
Operator
n/a
Prescribed
Function
< 3 months
2
(often first)
Line Manager
Data Manager
Operational
Function
< 1 year
3
Director/
Department
Manager
Data Director/
Data Steward
Department
Evolution/
Optimization
< 2 years
4
VP/General
Manager
Deputy CDO/Director
Unit Data
Governance
Organizatio
nal Unit
2 - 5 years
• Deputy Chief Data Officer
– A CDO must demonstrate one year
success prior to Deputy CDO
implementation
– CDO potential
– Improves data leveraging across the
organizational unit
– Coordinates with technology, process, and
other architecture levels
– Has "inherited authority" to negotiate with
IT regarding project commencement
• Focus:
– Sub-organizational (e.g.; a Marketing
CDO) integrative thinking
– Implements advantageous data leveraging
throughout the organizational unit
– Developing/implementing a breakthrough
unit data strategy
– Innovative unit-based data products/
services/customers/markets
– Risk concepts: security risks &
information losses

51. Copyright 2013 by Data Blueprint
Level 5 - Chief Data Officer
51
RO
Level
Organizational
Title
Data
Professionals
Title
in charge
of ...
Planning
Horizon
1 Front Line/ Operator n/a
Prescribed
Function
< 3 months
2
(often first)
Line Manager
Data Manager
Operational
Function
< 1 year
3
Director/
Department
Manager
Data Director/
Data Steward
Department
Evolution/
Optimization
< 2 years
4
VP/General
Manager
Deputy CDO/
Director Unit Data
Governance
Organization
al Unit
2 - 5 years
5
President/
Managing Director
CDO/Director Unit
Data Governance
Business
Unit
5 - 10
years
• Chief Data Officer
– Across business units within a holding
company
– Simultaneously is the unit's
Director of Data Governance
– Has 'gateway' authority over IT project
commencement
– Improving data leveraging within the
organizational unit but implemented
using multiple business models
– Reporting results in terms of long- term,
unit valuation
• Focus:
– Transformational business model
innovation through data products and
services
– Multi-generational technology stacks
– Implements advantageous data
leveraging across the organizational unit
– Risk concepts: reputation, vulnerability,
valuation

52. Copyright 2013 by Data Blueprint
Level 6 - Global CDO
52
RO
Level
Organizational
Title
Data
Professionals
Title
in charge
of ...
Planning
Horizon
1
Front Line/
Operator
n/a
Prescribed
Function
< 3 months
2
(often first)
Line Manager
Data Manager
Operational
Function
< 1 year
3
Director/
Department
Manager
Data Director/
Data Steward
Department
Evolution/
Optimization
< 2 years
4
VP/General
Manager
Deputy CDO/Director
Unit Data
Governance
Organization
al Unit
2 - 5 years
5
President/
Managing Director
CDO/Director Unit
Data Governance
Business Unit
5 - 10
years
6 EVP
Global CDO/Dir.
Organizational Data
Governance
Multi-
Business
Organization
10 - 20
years
• Global CDO
– Building data frameworks across
cultures, national legal
frameworks, for the enterprises
ecology of suppliers and
customers as well as internally..
like Google's and Amazon's
platforms that serve ecologies
– Simultaneously is Director,
Organizational Data Governance
– A CDO must demonstrate one
year success prior to the
existence of a Global CDO
• Focus:
– Improving data leveraging
across organizational units
– Risk concepts: reputation,
vulnerability, valuation

53. Copyright 2013 by Data Blueprint
Requisite (Natural Order) Organization Principles
53
RO
Level
Organizational
Title
Data Professionals
Title
in charge of ...
Planning
Horizon
7 CEO n/a Global Organization 20+ years
6 EVP
Global CDO/Dir.
Organizational Data
Governance
Multi-Business
Organization
10 - 20 years
5
President/
Managing Director
CDO/Director Unit
Data Governance
Business Unit 5 - 10 years
4
VP/General
Manager
Deputy CDO/Director
Unit Data Governance
Organizational Unit 2 - 5 years
3
Director/
Department
Manager
Data Director/
Data Steward
Department
Evolution/
Optimization
< 2 years
2
(often first)
Line Manager
Data Manager Operational Function < 1 year
1
Front Line/
Operator
n/a Prescribed Function < 3 months
CDOOperatingRange