Big data archive librarian to chief data officer
A big data archive librarian already meets 47% of what the chief data officer role asks for. The move turns on 11 required skills not yet in the profile.
60.6/ 100
1 How much of what a chief data officer is expected to do is already part of a big data archive librarian’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 5 of its required skills as things a big data archive librarian already does. You would walk in with these on day one.
- apply information security policies
- information structure
- manage ICT data classification
- manage data
- visual presentation techniques
What stands in the way is 11 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 33 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 big data archive librarian background worth leading with.
- already held manage ICT data classification working with computers
- already held integrate ICT data working with computers
- already held Oracle Relational Database information and communication technologies (icts)
- already held CA Datacom/DB information and communication technologies (icts)
- already held Filemaker (database management systems) information and communication technologies (icts)
- already held IBM Informix information and communication technologies (icts)
All 33 carried skills, including the 5 the chief data officer role treats as required.
Table 3 · What you may need to learn
The 28 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 data storage required
- still to learn decision support systems required
- still to learn data science required
- optional, not held cloud technologies 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 make data-driven decisions required
- optional, not held implement ICT risk management optional
- optional, not held report analysis results optional
- still to learn manage ICT data architecture required
- optional, not held deliver visual presentation of data optional
- still to learn utilise decision support system required
- optional, not held use databases optional
- still to learn data ethics required
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.
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 33 skills that carry over
- already held apply information security policies skill
- already held information structure knowledge
- already held manage ICT data classification skill
- already held manage data skill
- already held visual presentation techniques knowledge
- already held CA Datacom/DB knowledge
- already held DB2 knowledge
- already held Filemaker (database management systems) knowledge
- already held IBM Informix knowledge
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held Microsoft Access knowledge
- already held MySQL knowledge
- already held N1QL knowledge
- already held ObjectStore knowledge
- already held OpenEdge Database knowledge
- already held Oracle Relational Database knowledge
- already held PostgreSQL knowledge
- already held SPARQL knowledge
- already held SQL Server knowledge
- already held Teradata Database knowledge
- already held XQuery knowledge
- already held business intelligence knowledge
- already held data models knowledge
- already held data quality assessment knowledge
- already held database knowledge
- already held database development tools knowledge
- already held database management systems knowledge
- already held information confidentiality knowledge
- already held integrate ICT data skill
- already held query languages knowledge
- already held resource description framework query language knowledge
The 3 learning areas not shown above
- still to learn business processes required
- optional, not held develop information security strategy optional
- optional, not held information categorisation optional
17 supplementary skills, helpful but not required
- optional, not held cloud technologies optional
- optional, not held coordinate technological activities 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 online analytical processing optional
- optional, not held unstructured data optional
- optional, not held apply change management 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
40 held skills the chief data officer role does not ask for
- not needed by the target role IBM InfoSphere DataStage knowledge
- not needed by the target role IBM InfoSphere Information Server knowledge
- not needed by the target role Informatica PowerCenter knowledge
- not needed by the target role MarkLogic knowledge
- not needed by the target role Oracle Data Integrator knowledge
- not needed by the target role Oracle Warehouse Builder knowledge
- not needed by the target role Pentaho Data Integration knowledge
- not needed by the target role QlikView Expressor knowledge
- not needed by the target role SAP Data Services knowledge
- not needed by the target role SAS Data Management knowledge
- not needed by the target role SQL Server Integration Services knowledge
- not needed by the target role TripleStore knowledge
- not needed by the target role analyse big data skill
- not needed by the target role comply with legal regulations skill
- not needed by the target role creatively use digital technologies skill
- not needed by the target role data extraction, transformation and loading tools knowledge
- not needed by the target role design database backup specifications skill
- not needed by the target role design database scheme skill
- not needed by the target role develop ICT workflow skill
- not needed by the target role digital curation knowledge
- not needed by the target role digital data processing skill
- not needed by the target role digitise documents skill
- not needed by the target role digitization knowledge
- not needed by the target role give live presentation skill
- not needed by the target role identify technological needs skill
- not needed by the target role maintain data entry requirements skill
- not needed by the target role maintain database performance skill
- not needed by the target role maintain database security skill
- not needed by the target role manage archive users guidelines skill
- not needed by the target role manage content metadata skill
- not needed by the target role manage data collection systems skill
- not needed by the target role manage database skill
- not needed by the target role manage digital archives skill
- not needed by the target role manage information access aids skill
- not needed by the target role migrate existing data skill
- not needed by the target role monitor technology trends skill
- not needed by the target role normalise data skill
- not needed by the target role perform backups skill
- not needed by the target role statistics knowledge
- not needed by the target role write database documentation skill
15 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 data storage required
- still to learn decision support systems required
- still to learn business processes required
- still to learn data ethics required
- still to learn data science required
- optional, not held cloud technologies 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 data engineering optional
- optional, not held image recognition optional
Other moves recorded from big data archive librarian
Common questions about this move
Can a big data archive librarian become a chief data officer?
Yes, and it is a substantial move. A big data archive librarian already covers 47% of what a chief data officer is expected to do: 33 skills carry over, 5 of which the chief data officer role treats as required.
What skills does a big data archive librarian need to become a chief data officer?
11 required skills are missing, plus 17 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 big data archive librarian to chief data officer?
Its learning distance is 60.6 out of 100, which is the substantial 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.