IT Skill Sets of the Future - J. Gray, J. Julin, K. Bennet, D. Logan

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Los Angeles DGS 2013 presentationIT Skill Sets of the Futureby Jeremy Gray, Johan Julin, K. Bennett, Dean Logan

Transcript of IT Skill Sets of the Future - J. Gray, J. Julin, K. Bennet, D. Logan

Page 1: IT Skill Sets of the Future - J. Gray, J. Julin,  K. Bennet, D. Logan
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Jeramy Gray Chief Information Officer

County of Los Angeles Department of Human Resources

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Transactional information on paper

Government explores technology for arm forces and national intelligence

Technology becomes commercial and government lags behind the industry

Government partners with commercial industry but still hoards information

Public demand pushes for transparency and accessibility to information and e-services

Evolution of eGovernment

1970s-80s

1990s…

Millennium Today

1950s-60s

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The New Constituent

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New Government Employee

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From Utility to Service

Utility IT Support Model IT as a Service Model

• Software as a Service • Infrastructure as a Service • Platform as a Service

• Infrastructure Support • Desktop Support • Business applications

Support

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Techie Consultant

Technical area of expertise

Knowledge of the technology industry

Writing

Speaking

Political acumen

Knowledge of government as a business

Methodical

Analytical

Creativity

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Dr. Johan Julin Principal Analyst

County of Los Angeles Department of Human Resources

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“What Do You Do for a Living?”

• Job Analysis – Systematic study of work – Yields data on Knowledge Areas, Skills, Abilities,

and Other Characteristics (KSAOs) – Useful for:

• Hiring • Training • Performance Management

– Can track changes over time

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Information Technology Consultant

• Consults with departments on hardware, software or IT issues

• Manages highly technical special projects • Develops IT business criteria and concepts • Requires:

– BS in Computer Science or MPA with significant computer coursework

– Two years of experience

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IT Consultant in 2004

37%

10% 13%

22%

11% 6%

Technical Skills Analytical Skills Interpersonal Skills Work Skills Work Habits Communication Skills

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IT Consultant 2004-2011

2004 2008 2011 0%

5%

10%

15%

20%

25%

30%

35%

40%

Technical Skills Analytical Skills Interpersonal Skills Work Skills Work Habits Communication Skills

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Big Changes!

• What is the County’s HR doing about it? – More frequent job analysis – Greater overall emphasis on communications – Shift in “hard skills” testing

• Technical skills to general analytic ability

– Introduction of “soft skills” testing

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Work Styles Assessment

• Introduced in 2011 • Assessment of “soft skills”

– Reliability; Confidence; Conscientiousness; Leadership Potential; etc.

• Objective; Norm-based • State-of-the-Art

– “Adaptive”; driven by computer algorithms

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WSA Usage & Effectiveness

• Expanded to over 20k annual administrations • Effectiveness

– Predicts many work-related outcomes • Supervisory ratings of job performance • Advancement • Etc

– Anecdotal evidence – Empirical County study

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Dean Logan Registrar Recorder/County Clerk

County of Los Angeles Department of Registrar Recorder/County Clerk

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Kenneth Bennett Information Technology Manager

County of Los Angeles Department of Registrar Recorder/County Clerk

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The IT Communication Gap

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IT Evolution

• Back office, stationary

• Arcane IT skills

• Transaction focused

• “Wizard behind the curtain” mentality

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IT Evolution

• Location dependent

• Transaction focused

• IT skills diffusion

• Automation, multi-tasking

• Desktop internet

• User orientation

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IT Evolution

• Mobile, cloud

• Smart, personal, and interactive

• IT skills pervasive organization-wide

• Usability

• Behavior and knowledge driven

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Internet Life in America • Interconnected

• Collaboration

• Civic engagement

• Always on, always there

• Just-in-time mobile information

• Smart, visual information

• Technology integration

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New IT Paradigm Shift

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Voting System Assessment Project

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Old IT Perspectives on Voting Systems

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Old IT Results for Voting Systems

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Lessons Learned from HAVA

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Applying New IT Perspectives

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Human Factors • Who are the voters?

• What do they value?

• What do they want/need?

• How do they interact?

• How does technology shape their attitudes and behavior?

• What makes them confident and trusting?

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Voting System Principles

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Empathetic Design

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The Voting Experience

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Design Blueprint

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Other Considerations

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Where’s The IT in VSAP?

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