Data-Ed: Emerging Trends in Data Jobs
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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 ...

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/

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Data-Ed: Emerging Trends in Data Jobs Presentation Transcript

  • 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