NCF Category: Data Science

Plans and leads data engineering activities for strategic, large and complex analytics programmes.

Sets direction, ensuring that analytical work is enabled by appropriate, effective and ethical data engineering, modelling, techniques and tools, drawing on deep understanding of industry trends and emerging technologies.

Develops organisational policies, standards, and guidelines for the secure and resilient operation of data analysis services and products.

Works across the NHS and externally to identify opportunities to exploit the value of data sharing taking account of legal and ethical considerations.

Develops organisational policies, standards, and guidelines for data engineering and modelling for analysis, aligned with ethical principles.

Takes responsibility for the secure and resilient operation of data analysis services and products.

Ensures that programming work is co-ordinated across projects and is accountable for overall quality and performance of software developed in area of responsibility.

Co-ordinates allocation of resource across development teams, ensuring right skills are available and utilised.

Develops organisational policies, standards, and guidelines for software construction and refactoring, and for reproducible analytical pipeline principles. Takes account of departmental and cross government best practice / guidance adopting where relevant and influencing direction of these.

Sets long term strategy and plans work to ensure long-term sustainability and flexibility of products and minimise risk during development.

Assesses risk and opportunity of emerging technology and practices and influences development of strategic technology capabilities and processes to enable effective and efficient delivery of data product development.

Leads development of a culture that encourages innovation, risk taking and collaboration.

Leads and plans the development of innovation capabilities and the implementation of innovation processes, tools and frameworks.

Leads the communication of an open flow of creative ideas between interested parties and the set-up of innovation networks and communities.

Plans and leads strategic large and complex business process improvement activities through automation.

Directs the identification, evaluation and adoption of new or existing data technologies to improve business processes.

Exploits existing or new data technologies and ensures adoption with adherence to policies and standards.

Engages at a strategic level with external stakeholders/suppliers to identify opportunities, influencing the direction of travel in partner organisations for mutual benefit.

Takes strategic view identifying long term opportunities and ensures the organisation is well placed to take advantage of cutting-edge developments.

Directs the strategy for data science innovation services.

Manages the provision and operation of data science innovation services.

Engages with and maintains vendor relationships.

Establishes vendor agreements/contracts and manages completion and disengagement.

Coordinates work that constructs data pipelines and datasets for analysis which draws on data engineering best practices.

Builds capability to extract maximum analytical value from the broadest range of data – structured and unstructured, internal and open – including exploiting potential to link and match data.

Leads the selection and development of data engineering methods, tools and techniques. Ensures adherence to technical strategies and architectures.

Ensures benefits of data acquisition, data modelling and data engineering are shared to benefit the wider analytical community.

Enables the wider analytical group to derive maximum value from such systems through reuse and sharing of best practice.

Assesses issues which might prevent the organisation from making maximum analytical use of its information assets and recommends appropriate remedies.

Drives the overall data management plan which supports data exploitation for analysis, including linking and matching across diverse datasets.

Leads, develops and is accountable for an organisational approach and commitment to quality assurance and ethics. Ensures that quality assurance processes and ethics consideration activities are robust and based on industry best practice.

Considers the implications of emerging technology, approaches, trends, regulations and legislation.

Plans and resources the organisational quality assurance and ethics activities.

Reviews and analyses results from audit activities and identifies improvement opportunities for the organisation. Exercises sound ethical judgement in leadership of analytical work.

Develops the organisation’s approach to embedding ethical & legal considerations within analytical work, including evidencing how such considerations are taken into account.

Reviews findings and recommendations of analytical work from a wide range of sources with decision-makers and is able to convince senior officials about the implications of analytical evidence.

Communicates key messages from analytical work in clear and concise lay terms for senior officials.

Influences external partners, stakeholders and customers successfully securing mutually beneficial outcomes.

Delivers confident and engaging presentations on data science and analytical work to a wide range of internal and external audiences.

Demonstrates and promotes communicating data science with honesty, integrity, impartiality and objectivity; challenging others when communication of analysis does not meet these standards.

Ensures analysis and data products developed by the organisation add distinct value amongst the wider ecosystem. Engages with senior peers in partner organisations to develop complementary strategies and focus delivery to maximise overall impact.

Influences and champions the use of presentation and dissemination tools at the organisation level or wider.

Encourages the design and evaluation of data products through user engagement, establishing a culture of meeting diverse user needs through user centred design and continuous improvement.

Promotes best practice in communicating analysis, including engaging with external debate.

Sets organisational standards for development and use of data science solutions.

Partners with others to ensure tools and infrastructure for development and delivery of data products are fit for current and future purpose.

Influences decision-makers to ensure capabilities and processes designed and delivered by others provide the infrastructure and environment that enable effective delivery of data science.

Uses personal influence to make a positive difference across the NHS and externally.

5

Leads the provision of the organisation’s data science and analytics capabilities.

Utilises awareness of leading-edge developments in analytics techniques and tools to identify and evaluate new opportunities for the organisation and leads on developing capability to take advantage of these.

Directs the creation and review of a cross-functional, enterprise-wide approach and culture for generating value from data science and analytics.

Ensures that the strategic application of data science and analytics is embedded in the governance and leadership of the organisation.

Builds and leads data science capability to take advantage of a wide range of techniques enabling the efficient and effective analysis of structured and unstructured information which delivers business value.

Influences within and beyond own organisation to encourage adopting data science methods to add value for healthcare.

Convinces senior officials of the value and the limitations of analytics.

Oversees departmental data science resourcing- ensuring direct recruitment / retention of skilled data scientists and making effective use of external staff.

Drives progressive professional and technical development of all staff and sets direction for data science professionals across the business area.

Identifies areas where data science can make fresh contributions.

Promotes the group’s reputation for professionalism, good service, and advanced analysis.

Leads the provision of the organisation’s data science and analytics capabilities.