데이터 거버넌스 책임자

You can:

• communicate relevant, compelling stories using the most appropriate medium
• make complex recommendations at a tactical and strategic level

You can:

• mediate between people and strengthen relationships, adopting the appropriate communication method with stakeholders at all levels
• manage stakeholder expectations and moderate difficult discussions about high risk and complex topics, even within constrained timescales
• speak on behalf of, and represent the community to, large audiences inside and outside the organisation

You can:

• oversee compliance with data ethics standards and legislation across the organisation
• develop, manage and continuously improve an ethical framework within your area
• develop a data ethics culture, influencing others to act on it
• ensure data ethics is applied appropriately when formulating, implementing and evaluating organisational policies and programmes

You can:

• define the data governance strategy for the organisation, and connect it with the wider organisational strategy
• design, implement and monitor data governance within a large organisation, throughout the data life cycle
• set the strategy for applying end-to-end data governance frameworks, processes, operational policies, standards, compliance and assurance
• engage and work effectively with technical leaders and senior stakeholders to implement data governance and ensure compliance

You can:

• advocate for adoption of unfamiliar and emerging technologies, or familiar technologies in new data contexts, ensuring organisation objectives, user needs, and operational constraints inform decisions
• develop organisational capability in data innovation through leadership
• anticipate future technology changes and advise how to take advantage of them to realise value from data

You can:

• take responsibility for data governance structures and principles, and ensure that they’re defined and applied with best practice throughout a data life cycle
• direct continuous improvements to optimise data governance over a data life cycle

You can:

• take responsibility for improving the organisation’s data literacy
• encourage a data-driven culture within the organisation by strengthening data literacy skills among all employees
• persuade senior decision-makers that data literacy is a vital part of a data-driven culture, enabling effective decision-making at all levels

You can:

• champion and lead data management and governance processes within your team and across your organisation
• define and lead on the implementation of data management responsibilities
• define data management tools and develop training requirements to implement data governance processes effectively
• enable continuous improvement of data management practices and compliance with data governance policies

You can:

• oversee the implementation of the organisation’s data maturity model
• work with senior stakeholders to provide data assurance
• report assessment findings to boards or committees
• communicate data maturity improvement plans

You can:

• create data standards for the organisation
• advocate for, and oversee compliance with, data policies and standards
• decide where standards need to be set across the organisation, and how to set them in the wider context of government

You can:

• act as a point of escalation
• be trusted by senior risk owners as an expert in security
• apply risk methodologies at the most complex levels of risk

You can:

• direct the stakeholder relationship strategy for your teams
• ensure stakeholder's objectives are set and support teams to meet them
• influence and negotiate with senior stakeholders to resolve issues and enable progress

You can:

• lead the design and implementation of strategy, directing the evaluation of strategies and policies to ensure business requirements are being met

할 수 있는 일:

• 보건·돌봄 시스템에 대한 깊은 이해를 바탕으로 조직 전략을 형성한다
• 보건·돌봄 파트너와 리더에게 조직을 대표한다
• 정책과 서비스 변화가 디지털 서비스와 돌봄에 어떤 영향을 줄지 예측한다

할 수 있는 일:

• 정보 거버넌스 정책과 전략을 정한다
• 정보 리스크와 준수에 대해 이사회에 조언한다
• 규제 기관과 파트너에게 조직을 대표한다

할 수 있는 일:

• 조직과 그 파트너의 데이터 품질 기준을 정한다
• 데이터 품질 개선 프로그램을 이끈다

할 수 있는 일:

• 임상 용어 체계를 사용하여 데이터 모델과 참조 세트를 설계한다
• 용어 체계와 분류 사이를 매핑하고 매핑의 한계를 설명한다
• 프로덕트와 분석에서의 용어 사용에 대해 팀에 조언한다

할 수 있는 일:

• 비식별화와 공개 통제에 관한 조직의 기준을 정한다
• 고위험 데이터 공개와 연결 프로젝트를 보증한다
• 연구와 계획을 위한 안전한 데이터 접근에 관해 파트너와의 협업을 이끈다

할 수 있는 일:

• 조직의 리스크 관리 체계와 리스크 선호도를 설계한다
• 전략적 리스크에 대해 이사회에 조언한다

할 수 있는 일:

• 목표를 설정하고 평가를 하며 팀을 직접 관리한다
• 웰빙을 지원하고 근태, 실적, 행위를 관리한다
• 팀의 육성과 승계를 계획한다

할 수 있는 일:

• 작은 예산에 대한 지출을 추적하고 차이를 알린다
• 자신의 한도 안에서 지출을 승인한다