Table 1Transition record

data engineertochief data officer

A data engineer already meets 16% of what the chief data officer role asks for. The move turns on 13 required skills not yet in the profile.

From data engineer

16%

Overlap1

To chief data officer

9 Skills carried over

13 Required, not held

85.2 Difficulty2

Career overlap Distant match

16%

Learning distance A rebuild

85.2/ 100

Easy adjacentmoderatesubstantialcareer change Hard

1 Share of the chief data officer role’s weighted skill requirement already met by the data engineer profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.

Why

Why this move works

A chief data officer role treats 3 of its required skills as things a data engineer already does. These are the ones it depends on most.

data storage
manage ICT data architecture
manage data

What stands in the way is 13 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.

Table 2

Table 2 · What you already bring

Of the 9 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 engineer background worth leading with.

Skill the target role also needs Area

already held manage ICT data architecture communication, collaboration and creativity
already held Teradata Database information and communication technologies (icts)
already held database management systems information and communication technologies (icts)
already held data models information and communication technologies (icts)
already held use databases working with computers
already held unstructured data information and communication technologies (icts)

All 9 carried skills, including the 3 the chief data officer role treats as required.

Table 3

Table 3 · What you would need to learn

The 52 missing skills fall into 9 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.

Skill to acquire Tier

01 information and communication technologies (icts) 4 required, 28 supplementary

required, not held data mining required
required, not held decision support systems required
required, not held information structure required
required, not held 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 LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held Microsoft Access optional
optional, not held MySQL optional
optional, not held N1QL 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 SPARQL optional
optional, not held SQL Server optional
optional, not held XQuery optional
optional, not held database development tools optional
optional, not held information architecture optional
optional, not held information confidentiality optional
optional, not held information extraction optional
optional, not held information security strategy optional
optional, not held online analytical processing optional
optional, not held query languages optional
optional, not held resource description framework query language optional
optional, not held data engineering optional
optional, not held database optional
optional, not held image recognition optional

02 management skills 2 required, 3 supplementary

required, not held define data quality criteria required
required, not held 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

03 working with computers 2 required, 1 supplementary

required, not held manage ICT data classification required
required, not held utilise decision support system required

optional, not held integrate ICT data optional

04 arts and humanities 2 required

required, not held visual presentation techniques required
required, not held data ethics required

05 business, administration and law 1 required, 2 supplementary

required, not held business processes required

optional, not held data quality assessment optional
optional, not held business intelligence optional

06 information skills 1 required, 2 supplementary

required, not held make data-driven decisions required

optional, not held implement ICT risk management optional
optional, not held report analysis results optional

3 further areas in the appendix

Table 4

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

Appendix · The rest of the record

All 9 skills that carry over

Skill Type

already held data storage knowledge
already held manage ICT data architecture skill
already held manage data skill
already held Teradata Database knowledge
already held cloud technologies knowledge
already held data models knowledge
already held database management systems knowledge
already held unstructured data knowledge
already held use databases skill

The 3 learning areas not shown above

Skill to acquire Tier

07 assisting and caring 1 required, 1 supplementary

required, not held apply information security policies required

optional, not held develop information security strategy optional

08 communication, collaboration and creativity 1 supplementary

optional, not held deliver visual presentation of data optional

09 social sciences, journalism and information 1 supplementary

optional, not held information categorisation optional

39 supplementary skills, helpful but not required

Skill to acquire Tier

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 LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held Microsoft Access optional
optional, not held MySQL optional
optional, not held N1QL 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 SPARQL optional
optional, not held SQL Server optional
optional, not held XQuery 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 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 confidentiality 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 query languages optional
optional, not held resource description framework query language optional
optional, not held apply change management optional
optional, not held business intelligence optional
optional, not held data engineering optional
optional, not held database 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

19 held skills the chief data officer role does not ask for

Skill Type

not needed by the target role SAS Data Management knowledge
not needed by the target role analyse pipeline database information skill
not needed by the target role computer science knowledge
not needed by the target role create data models skill
not needed by the target role create data sets skill
not needed by the target role data analytics knowledge
not needed by the target role data warehouse knowledge
not needed by the target role design database in the cloud skill
not needed by the target role develop data processing applications skill
not needed by the target role digital data processing skill
not needed by the target role establish data processes skill
not needed by the target role implement data warehousing techniques skill
not needed by the target role manage quantitative data skill
not needed by the target role manage research data skill
not needed by the target role perform dimensionality reduction skill
not needed by the target role process data skill
not needed by the target role statistics knowledge
not needed by the target role store digital data and systems skill
not needed by the target role use data processing techniques skill

38 gaps that are knowledge rather than practice

Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.

Skill to acquire Tier

required, not held data mining required
required, not held decision support systems required
required, not held information structure required
required, not held visual presentation techniques required
required, not held business processes required
required, not held data ethics required
required, not held 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 LDAP optional
optional, not held LINQ optional
optional, not held MDX optional
optional, not held Microsoft Access optional
optional, not held MySQL optional
optional, not held N1QL 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 SPARQL optional
optional, not held SQL Server optional
optional, not held XQuery optional
optional, not held data quality assessment optional
optional, not held database development tools optional
optional, not held information architecture optional
optional, not held information categorisation optional
optional, not held information confidentiality optional
optional, not held information extraction optional
optional, not held information security strategy optional
optional, not held online analytical processing optional
optional, not held query languages optional
optional, not held resource description framework query language optional
optional, not held business intelligence optional
optional, not held data engineering optional
optional, not held database optional
optional, not held image recognition optional

Index

Other moves recorded from data engineer

Full index of moves from data engineer

Note

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.