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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, CDMPDirector, Data SolutionsSalesforce.com
Eva Smith, CDMPDirector of IT and eLearningEdmonds Community College
I am very concerned with raising the profile of our sole, non-depletable, non-degrading, durable, strategic asset within organizations
Peter Aiken, PhDFounding Director, Data BlueprintAssociate Professor, VCUPast President DAMA International
2
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
Why is the Data Profession so Hot?(It is not just about “Data Scientists”)
Source: EMC2 Big Data Study
5
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
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
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
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
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
Many roles, specializations, titles….Or on business cards…
Information ArchitectInformation Quality Program ManagerInformation Resource AnalystInformation SpecialistInformation Support ManagerInformation Systems AnalystIT Project LeadIT Project ManagerIT ArchitectIT ConsultantData AnalystData ScientistFinancial Data AnalystOperations Data AnalystCompliance AnalystCompensation Analyst…
13
Roles are about what we want to doand 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?
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 HandbookWhile roles maybe common, common title
definitions still lag behind…
10 years ago…
15
“Newer” Data Related Job Categories
Today
O*Net Occupational Handbook… even after the recent evolution and expansions
16
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
So how does someone intentionally prepare for this career?
Abilities (my dependable strengths)
Knowledge (what I know)
Skills (what I can do)
18
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 Independently
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
Recommended Knowledge Areas for Data
Professionals
*From Facilitated Workshop on the Data Management Profession, December 6, 2013, Edmonds Community College
Knowledge
20
Preferred Core Skill Sets for Data Management
Professionals
*From Facilitated Workshop on the Data Management Profession, December 6, 2013, Edmonds Community College
Skills
21
Work Profile
*From Facilitated Workshop on the Data Management Profession, December 6, 2013, Edmonds Community College 22
Information Technology
Enterprise Architecture
(EABOK)
Business Analysis (BABOK)
Project Management
(PMBOK)
Business/Industry Knowledge
Data Management(DAMA-DMBOK)
Multiple Knowledge Domains
23
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
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 ScienceInformation SystemsManagement Information SystemsInformation and Communications TechnologyMathematics
Other Academic Background/Career Paths Include: Business History Science …
25
Data Analyst Levels and TitlesTypical 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
Typical Role
Demonstrated BehaviorKey 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 SQLCreates reports against pre-defined metrics, aggregations or calculations against pre-defined tables against specific business questionsRun monitoring scripts, identify key area of concern, report on trends
Associate Data Analyst
27
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
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
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
Titlein charge
of ...Planning Horizon
7 CEO Global Organization 20+ years
6 EVP Multi-Business Organization
10 - 20 years
5President/ Managing Director
Business Unit 5 - 10 years
4 VP/General Manager
Organizational Unit 2 - 5 years
3Director/
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, PhDPresident, Global Organization Design Society
Copyright 2013 by Data Blueprint
Data Management Career Titles
32
RO Level
Organizational 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
5President/ Managing Director
Chief Data Officer
Organizational Data Governance
BU/Process Data Governance
Business Unit 5 - 10 years
4 VP/General Manager
Deputy CDODepartment Data
GovernanceEnterprise Architect
Organizational Unit 2 - 5 years
3Director/
Department Manager
Data DirectorChief Data StewardPortfolio Architect
Department Evolution/
Optimization< 2 years
2 (often first) Line Manager
Data ManagerData 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
Recent Academic Trends: More Curriculum Frameworks (2012)
http://library.umassmed.edu/data_management_frameworks.pdf
35
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
Academic Trends:Career Guidance
http://education-portal.com/articles/Data_Management_Analyst_Job_Description_and_Requirements_for_Becoming_a_Data_Management_Analyst.html
“Information on specific programs may be found at Data Management International (DAMA) www.DAMA.org”
37
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
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 CenterNew 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
Thank you!
Mehmet Orun, CDMPDirector, Data Solutions
Salesforce.com
Eva Smith, CDMPDirector of IT and eLearning
Edmonds Community College
Peter Aiken, PhDFounding Director, Data Blueprint
Associate Professor, VCUPast President DAMA International
Now it’s your turn!
41
Copyright 2013 by Data Blueprint
Upcoming Events
42
April Webinar: Data Quality EngineeringApril 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:
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
Copyright 2013 by Data Blueprint
Thank to input and consultation from ...
• Ken Sheppard, PhDPresident, Global Organization Design [email protected] - http://globalro.org
45
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 CenterNew 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
Scope of the Profession
Data Analyst
Data Architect
Data Modeler
Data Governance Analyst/Manager
Database Administrator
IT Security Administrator
Integration Analyst
ETL ProgrammerDocument &Content MetadataSpecialists
MDM Specialist
Master Data Architect
DW Specialist
BI Analyst
Metadata Architect
Metadata Librarian
Data Quality Analyst
Enterprise Architect
Jobs / Specializations
47
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
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
3Director/
Department Manager
Data Director/Data Steward
Department Evolution/
Optimization
< 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
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
3Director/
Department Manager
Data Director/Data Steward
Department Evolution/
Optimization< 2 years
4 VP/General Manager
Deputy CDO/Director Unit Data
Governance
Organizational 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
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
3Director/
Department Manager
Data Director/Data Steward
Department Evolution/
Optimization< 2 years
4 VP/General Manager
Deputy CDO/Director Unit Data
Governance
Organizational 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
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
3Director/
Department Manager
Data Director/Data Steward
Department Evolution/
Optimization< 2 years
4 VP/General Manager
Deputy CDO/Director Unit Data
Governance
Organizational Unit 2 - 5 years
5 President/ Managing Director
CDO/Director Unit Data Governance Business Unit 5 - 10
years
6 EVPGlobal CDO/Dir.
Organizational Data Governance
Multi-Business
Organization10 - 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
Copyright 2013 by Data Blueprint
Requisite (Natural Order) Organization Principles
53
RO Level
Organizational Title
Data Professionals Title in charge of ... Planning
Horizon7 CEO n/a Global Organization 20+ years
6 EVPGlobal 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
4VP/General
ManagerDeputy CDO/Director Unit Data Governance Organizational Unit 2 - 5 years
3Director/
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
CD
O O
pera
ting
Ran
ge