Explore Tasks
Define master data match and survivorship rules and recommend golden-record changes for the data owner's approval
Data owners and consuming systems receive a governed golden record set for a domain (customers, suppliers, products or employees) with documented match, merge and survivorship rules, duplicates resolved and each change request approved or rejected under the rules.
0jobs do it
13jobs help with it
30skills it needs
- Data Steward
- Data Governance Lead
- Head of Data Governance
- Financial Controller
- Chief Procurement Officer
- Head of HR
- Marketing Operations Lead
- Marketing Operations Manager
- Head of Marketing
- Sales Operations Analyst
- Revenue Operations Lead
- Revenue Operations Manager
- Head of Commercial
Does itHelps with it
- Reading and tracing unfamiliar code
- Reviewing human- and AI-generated code changes for correctness and risk
- Sampling and reviewing a team's work against standards
- Diagnosing misleading data visualisations
- Verifying reports and dashboards before and after release
- Verifying AI-assisted outputs against sources
- Disclosing AI contribution to professional work
- Testing competing explanations with discriminating evidence
- Independently checking analytical conclusions and claims
- Escalating unresolved risks with evidence and clear ownership
- Giving specific developmental feedback on data and AI work
- Judging the materiality of defects and deficiencies for the intended use
- Designing and validating digital analytics event measurement
- Assessing data source credibility and fitness for a question
- Profiling data
- Diagnosing data quality exceptions
- Standardising and cleaning data under agreed rules
- Governing shared data definitions
- Diagnosing duplicate records
- Writing data quality rules
- Repairing data defects reversibly under owner authority
- Monitoring data quality and freshness in production
- Designing and versioning data contracts for consumers
- Applying data classification and handling rules
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Assigning and operating data ownership and stewardship
- Designing enforceable data governance policies
- Managing master data identities and exceptions
- Investigating procurement spend leakage and duplicate commitments
- Influencing change without formal authority
Paths that teach the skills it needs
Skill Path
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Data Literacy for Business Decisions
Judge whether a business claim from a table, KPI, chart or dashboard really holds up.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Data Governance, Catalogues and Lineage
Govern definitions, stewardship, lineage and enforceable policy.
- Modules
- 5 open
- Practice data
- Raket Parts