Data_Strategy_Owner
A senior leader responsible for defining, developing, and executing an organization's overarching data strategy to align with business goals. This role translates business strategy into a data strategy, establishing the roadmap for how data will be collected, managed, governed, and leveraged to drive value and innovation across the company.
| Synonyms of Data_Strategy_Owner |
|---|
| Chief Data Officer (CDO) |
| Chief Analytics Officer (CAO) |
| Head of Data Strategy |
| Director of Data Strategy |
| Data Strategy Lead |
| Data Strategy & Governance Lead |
| FAIR persona related to Data_Strategy_Owner |
|---|
| Business_Leader |
| Technology_Leader |
| Business_Analyst |
| Business_Owner |
| Project_Manager |
| Data_Steward |
Data Strategy Owners set the strategic vision for how data supports business goals and defines priorities for data initiatives. They ensure data management practices align with organizational objectives, enforce data policies, and are accountable for the quality, security, and compliance of the data. The role involves making key decisions on data usage, resource allocation, and approving access or data sharing agreements. They collaborate with business and technical teams to implement governance, manage risks, and support data-driven decision-making. They provide continuous oversight of data quality, regulatory adherence, and alignment of data efforts with business strategy are core to their responsibilities.
Upside
FAIR data are a pre-requisite and enabler for an effective implementation of a data strategy.
Downside
The implementation of a data strategy relies on data that can support the strategy, poor quality and siloed data will cause the strategy to fail.
The impact of a successful data strategy relies on all FAIR dimensions. Operating in a FAIR-compliant data environment enables the Data Strategy Owner to reliably align data initiatives with business strategy, enforce consistent governance at scale, and balance innovation with compliance and risk management. FAIR provides transparency, interoperability, and reuse across the organisation, allowing strategic data investments to deliver measurable value, accelerate analytics and AI adoption, support trusted data sharing, and strengthen regulatory confidence while reducing duplication, fragmentation, and long-term data management costs.
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F1-4 enable data and metadata to be found enabling enterprise-wide analytics
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A1-3 Define access conditions for data and metadata to be available for enterprise-wide analytics.
Fair
F1 provides persistent identifiers that underpin trustworthy, enterprise-wide data assets for strategic decisions.
F2 ensures metadata richness so executives can evaluate the value and readiness of data for business opportunities.
A1 guarantees that critical datasets are reliably accessible, enabling agility in responding to market shifts.
I1 enables cross-domain interoperability, supporting enterprise-wide analytics and innovation.
R1.2 clarifies reuse conditions, allowing leadership to safely unlock data assets for partnerships, monetization, and ecosystem engagement.