Tech & Engineering Startup (1-50 employees)

Data Governance Specialist at Startup

Defines and enforces policies, standards, and processes that ensure the quality, security, and appropriate use of organizational data.

In startups, this role often covers broader responsibilities than its formal description

Learning speed matters more than prior experience with a specific technology

High emotional stability is the strongest predictor of retention in high-uncertainty contexts

Ideal OCEAN+ Profile

Openness 73 Conscientiousness 75 Extraversion 59 Agreeableness 61 Emotional Stability 78 Structure & Rhythm 73
Ideal range
Openness
65 80

At startups (1-50 employees), technical curiosity to explore new architectures

Conscientiousness
68 82

At startups (1-50 employees), discipline in code and development processes

Extraversion
50 67

At startups (1-50 employees), collaboration with technical teams and stakeholders

Agreeableness
53 68

At startups (1-50 employees), the balance between defending technical decisions and accepting feedback

Emotional Stability
70 85

At startups (1-50 employees), resilience in the face of production bugs and deadline pressure

Structure & Rhythm
65 80

At startups (1-50 employees), effective communication with the team

Strengths and Red Flags

Strengths

  • Design of clear, enforceable data policies in complex organizational contexts
  • Implementation of data catalogs and lineage systems
  • Ability to make architecture decisions with incomplete information and time constraints
  • Versatility to take on responsibilities outside their specialty when the team is small

Red Flags

  • Governance policies so rigid they block productive analytical work
  • Lack of data quality metrics to validate the program's impact
  • Needs formal processes and approvals before being able to execute
  • Freezes up in the face of ambiguous requirements or lack of documentation

Interview Questions

Tell me about a data governance program you implemented. How did you achieve adoption among resistant teams?

Evaluates: Agreeableness and Structure & Rhythm in change management

Describe how you would prioritize which data to classify and protect first at a company with no established governance program.

Evaluates: Conscientiousness and Openness in framework design

Tell me about a technical decision you made with less than 50% of the information you would have wanted. What happened?

Evaluates: Openness and emotional stability under technical uncertainty

How do you handle the pressure when the CEO changes priorities mid-sprint?

Evaluates: Emotional stability and flexibility amid chaos

More about Data Governance Specialist

Career path, personality archetypes and similar roles in the full profile.

This Role in Other Contexts

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