Lead manager datagovernance

You can:

• turn complex data into compelling, clear and actionable stories
• share data communication skills with the team and across government
• present analysis and visualisations in clear ways to communicate complex messages
• communicate negative and positive information to stakeholders
• give tactical and strategic recommendations

You can:

• listen to and interpret the needs of technical and non-technical stakeholders, and manage their expectations
• manage active and reactive communication
• support or host difficult discussions within the team or with diverse senior stakeholders

You can:

• work with stakeholders to identify and address ethical and privacy concerns
• demonstrate and communicate how data ethical issues fit into the wider organisational context
• research developments in data ethics and privacy to improve compliance and processes
• assess and constructively challenge proposed data ethics policies

You can:

• implement and monitor data governance using standard methodology throughout the data life cycle, within a large organisation
• meet the requirement for relevant data governance accreditation
• take responsibility for specific parts of a data governance framework within the organisation

You can:

• test and evaluate the feasibility of unfamiliar and emerging technologies, or familiar technologies in new data contexts
• share what you learn with the organisation, explaining potential benefits, risks, and practical considerations
• recommend, design and implement innovative data solutions based on organisation objectives, user needs, and operational constraints

You can:

• understand and apply data governance structures and principles over a data life cycle, ensuring best practice at each phase
• demonstrate knowledge of data governance industry standards
• design and implement continuous improvements to optimise data governance over a data life cycle
• work with internal and external stakeholders to build organisational capacity and capability in data governance

You can:

• recommend data literacy as a valuable skill across all levels of the organisation
• identify employee training courses and other opportunities to improve the organisation’s data literacy skills and data-driven culture

You can:

• advocate for effective data governance and data management policies and guidelines within your team and across your organisation
• monitor and improve data management practices in your team
• help define, develop and support the use of data management tools, procedures and methods in compliance with data governance policies

You can:

• lead the implementation of data best practices
• communicate opportunities to improve data maturity
• lead on monitoring and improving areas of data maturity

You can:

• create data standards for different subjects and ensure senior leaders understand them
• work with subject matter experts across the organisation to introduce data standards best practice
• monitor compliance with policies and standards in the organisation
• make recommendations about how the organisation should resolve breaches of standards

You can:

• work with higher impact or more complex risks, advising on the impact and whether it's within risk tolerance
• apply different risk methodologies in proportion to the risk

You can:

• work with the team to develop and maintain an understanding of stakeholders
• work with the team to develop and implement stakeholder communications strategies
• identify and resolve issues, influence stakeholders and manage relationships effectively
• build long-term strategic relationships and communicate clearly and regularly with stakeholders

You can:

• define strategies and policies, providing guidance to others on working in the strategic context
• evaluate current strategies to ensure business requirements are being met and exceeded where possible

U kunt:

• analyseren hoe een dienst past in zorgpaden over organisaties heen
• met clinici, zorgpersoneel en patiënten werken om digitale diensten vorm te geven
• het effect van digitale beslissingen op zorg, veiligheid en werkdruk van personeel uitleggen

U kunt:

• beoordelingen van gevolgen voor gegevensbescherming en overeenkomsten voor het delen van informatie leiden
• teams adviseren over rechtsgrond, toestemming, vertrouwelijkheid en bewaring
• incidenten onderzoeken en verbeteringen aanbevelen

U kunt:

• regels en maten voor datakwaliteit definiëren
• met leveranciers van data de grondoorzaken van slechte kwaliteit oplossen

U kunt:

• datamodellen en referentiesets ontwerpen met klinische terminologieën
• koppelen tussen terminologieën en classificaties en de grenzen van een koppeling uitleggen
• teams adviseren over het gebruik van terminologie in producten en analyse

U kunt:

• FHIR-resources, -profielen en -API’s lezen en gebruiken
• onder begeleiding eenvoudige integraties bouwen of testen
• berichten controleren tegen een specificatie

U kunt:

• methoden voor pseudonimisering en koppeling ontwerpen die identificatoren gescheiden houden van analysedata
• het risico van heridentificatie van een dataset of publicatie beoordelen en geschikte beheersmaatregelen kiezen
• teams adviseren over veilige omgevingen, zoals vertrouwde onderzoeksomgevingen

U kunt:

• het risicoproces voor een directoraat of programma uitvoeren
• risico’s beoordelen tegen de risicobereidheid en ze escaleren
• over risico’s rapporteren aan commissies

U kunt:

• hiërarchisch leiding geven aan een team, doelen stellen en beoordelingsgesprekken voeren
• welzijn ondersteunen en verzuim, prestaties en gedrag beheren
• de ontwikkeling en opvolging van het team plannen

U kunt:

• uitgaven tegen een klein budget volgen en afwijkingen melden
• uitgaven binnen uw grens autoriseren