Data entry supervisor to chief data officer
A data entry supervisor already meets 25% of what the chief data officer role asks for. The move turns on 12 required skills not yet in the profile.
78.7/ 100
1 How much of what a chief data officer is expected to do is already part of a data entry supervisor’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the chief data officer role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A chief data officer role treats 4 of its required skills as things a data entry supervisor already does. You would walk in with these on day one.
- apply information security policies
- data storage
- manage ICT data classification
- manage data
What stands in the way is 12 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 15 skills that carry over, these are the ones fewest other occupations ask for. A chief data officer role needs them, and most people applying for one will not have them already. This is the part of a data entry supervisor background worth leading with.
- already held manage ICT data classification working with computers
- already held database information and communication technologies (icts)
- already held data models information and communication technologies (icts)
- already held apply information security policies assisting and caring
- already held LDAP information and communication technologies (icts)
- already held MDX information and communication technologies (icts)
All 15 carried skills, including the 4 the chief data officer role treats as required.
Table 3 · What you may need to learn
The 46 missing skills fall into 9 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn data mining required
- still to learn decision support systems required
- still to learn information structure required
- still to learn data science required
- optional, not held CA Datacom/DB optional
- optional, not held DB2 optional
- optional, not held Filemaker (database management systems) optional
- optional, not held IBM Informix optional
- optional, not held Microsoft Access optional
- optional, not held MySQL optional
- optional, not held ObjectStore optional
- optional, not held OpenEdge Database optional
- optional, not held Oracle Relational Database optional
- optional, not held PostgreSQL optional
- optional, not held SQL Server optional
- optional, not held Teradata Database optional
- optional, not held cloud technologies optional
- optional, not held database development tools optional
- optional, not held database management systems optional
- optional, not held information architecture optional
- optional, not held information extraction optional
- optional, not held information security strategy optional
- optional, not held online analytical processing optional
- optional, not held unstructured data optional
- optional, not held data engineering optional
- optional, not held image recognition optional
- still to learn define data quality criteria required
- still to learn define technology strategy required
- optional, not held coordinate technological activities optional
- optional, not held apply change management optional
- optional, not held manage business knowledge optional
- still to learn visual presentation techniques required
- still to learn data ethics required
- still to learn business processes required
- optional, not held data quality assessment optional
- optional, not held business intelligence optional
- still to learn make data-driven decisions required
- optional, not held implement ICT risk management optional
- optional, not held report analysis results optional
- still to learn utilise decision support system required
- optional, not held integrate ICT data optional
- optional, not held use databases optional
3 further areas in the appendix
Table 4 · Where to start
The 3 entries a chief data officer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 data mining study this
- 02 decision support systems study this
- 03 define data quality criteria practise this
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 15 skills that carry over
- already held apply information security policies skill
- already held data storage knowledge
- already held manage ICT data classification skill
- already held manage data skill
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held N1QL knowledge
- already held SPARQL knowledge
- already held XQuery knowledge
- already held data models knowledge
- already held database knowledge
- already held information confidentiality knowledge
- already held query languages knowledge
- already held resource description framework query language knowledge
The 3 learning areas not shown above
- still to learn manage ICT data architecture required
- optional, not held deliver visual presentation of data optional
- optional, not held develop information security strategy optional
- optional, not held information categorisation optional
34 supplementary skills, helpful but not required
- optional, not held CA Datacom/DB optional
- optional, not held DB2 optional
- optional, not held Filemaker (database management systems) optional
- optional, not held IBM Informix optional
- optional, not held Microsoft Access optional
- optional, not held MySQL optional
- optional, not held ObjectStore optional
- optional, not held OpenEdge Database optional
- optional, not held Oracle Relational Database optional
- optional, not held PostgreSQL optional
- optional, not held SQL Server optional
- optional, not held Teradata Database optional
- optional, not held cloud technologies optional
- optional, not held coordinate technological activities optional
- optional, not held data quality assessment optional
- optional, not held database development tools optional
- optional, not held database management systems optional
- optional, not held develop information security strategy optional
- optional, not held implement ICT risk management optional
- optional, not held information architecture optional
- optional, not held information categorisation optional
- optional, not held information extraction optional
- optional, not held information security strategy optional
- optional, not held integrate ICT data optional
- optional, not held online analytical processing optional
- optional, not held unstructured data optional
- optional, not held apply change management optional
- optional, not held business intelligence optional
- optional, not held data engineering optional
- optional, not held deliver visual presentation of data optional
- optional, not held image recognition optional
- optional, not held manage business knowledge optional
- optional, not held report analysis results optional
- optional, not held use databases optional
27 held skills the chief data officer role does not ask for
- not needed by the target role ABBYY FineReader knowledge
- not needed by the target role OmniPage knowledge
- not needed by the target role apply organisational techniques skill
- not needed by the target role coach employees skill
- not needed by the target role company policies knowledge
- not needed by the target role develop working procedures skill
- not needed by the target role discharge employees skill
- not needed by the target role documentation types knowledge
- not needed by the target role establish data processes skill
- not needed by the target role estimate duration of work skill
- not needed by the target role evaluate employees skill
- not needed by the target role gather feedback from employees skill
- not needed by the target role implement data quality processes skill
- not needed by the target role implement data warehousing techniques skill
- not needed by the target role introduce new employees skill
- not needed by the target role maintain data entry requirements skill
- not needed by the target role manage data collection systems skill
- not needed by the target role manage employee complaints skill
- not needed by the target role manage schedule of tasks skill
- not needed by the target role motivate employees skill
- not needed by the target role normalise data skill
- not needed by the target role optical character recognition software knowledge
- not needed by the target role perform data cleansing skill
- not needed by the target role process data skill
- not needed by the target role recruit employees skill
- not needed by the target role supervise data entry skill
- not needed by the target role supervise work skill
32 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn data mining required
- still to learn decision support systems required
- still to learn information structure required
- still to learn visual presentation techniques required
- still to learn business processes required
- still to learn data ethics required
- still to learn data science required
- optional, not held CA Datacom/DB optional
- optional, not held DB2 optional
- optional, not held Filemaker (database management systems) optional
- optional, not held IBM Informix optional
- optional, not held Microsoft Access optional
- optional, not held MySQL optional
- optional, not held ObjectStore optional
- optional, not held OpenEdge Database optional
- optional, not held Oracle Relational Database optional
- optional, not held PostgreSQL optional
- optional, not held SQL Server optional
- optional, not held Teradata Database optional
- optional, not held cloud technologies optional
- optional, not held data quality assessment optional
- optional, not held database development tools optional
- optional, not held database management systems optional
- optional, not held information architecture optional
- optional, not held information categorisation optional
- optional, not held information extraction optional
- optional, not held information security strategy optional
- optional, not held online analytical processing optional
- optional, not held unstructured data optional
- optional, not held business intelligence optional
- optional, not held data engineering optional
- optional, not held image recognition optional
Common questions about this move
Can a data entry supervisor become a chief data officer?
Yes, and it is a career change move. A data entry supervisor already covers 25% of what a chief data officer is expected to do: 15 skills carry over, 4 of which the chief data officer role treats as required.
What skills does a data entry supervisor need to become a chief data officer?
12 required skills are missing, plus 34 optional ones. They fall into 9 areas of the ESCO skill hierarchy, led by information and communication technologies (icts). The single most important is data mining.
How hard is the move from data entry supervisor to chief data officer?
Its learning distance is 78.7 out of 100, which is the career change band. That accounts for both how much is missing and how specialised those skills are.
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.