Development and implementation – FEDIP Job Profiles

Sub-sets of data and storage (DATM) (Level 6)

Takes overall responsibility for planning effective data storage, security, quality, sharing, availability, publishing, disposal and retention within the organisation.

Process improvement (BINT) (Level 5)

Manages the review of the value created through business intelligence reports/outputs in order to assess process improvement opportunities, to democratise data, and maximise business benefit.

BI reporting (BINT) (Level 5)

Ensures that appropriate reporting techniques are used and manages the reporting of results to clients, management and external audiences.

Solution development (DATS) (Level 6)

Plans and leads strategic, large and complex data science initiatives to generate insights, create value and drive decision-making

Data sourcing and preparation (DATS) (Level 6)

Provides oversight of the integrity of data sources and ensures that data scientists understand that biases may exist in data. Drives the importance of the application of ethics and sound data governance in the development of data science solutions and mitigation of business risk.

Capability development (DATS) (Level 6)

Leads the development of organisational capabilities for data science.

User-centred design (URCH) (Level 4)

Creates data-driven user personas and uses them as a tool to support user-centred design decision-making.

User research (URCH) (Level 4)

Conduct hands-on user research, including guerrilla/pop-up testing, moderating usability sessions, interviewing, and designing simple surveys and questionnaires.

Organisational capabilities (URCH) (Level 4)

Sources and procures participants and facilities in order to conduct user research activities. Writes effective screeners for procured suppliers, in order to source participants.

Methods, standards and policies (URCH) (Level 4)

Contributes to the development of organisational methods and standards for user research. Facilitates input from users and stakeholders. Provides constructive challenge and enables effective prioritisation of requirements.

Generative research (URCH) (Level 4)

Executes generative research in order to find opportunities for innovation in, and enhancement of, systems, products and services.

Accessibility (URCH) (Level 4)

Identifies needs of users with accessibility requirements, and employs appropriate user research techniques to ensure these needs are reflected and met.

Standards/methods/tools (SFEN) (Level 6)

Champions the NHS safety standards (DCB0129/0160), methods and tools and ensures that they are applied effectively.

Safety assurance/compliance (SFEN) (Level 6)

Captures, evaluates and specifies clinical safety requirements for digital systems, ensuring they are proportionate to the level of risk and appropriate to the system’s intended use.

Hazard/risk assessment (SFEN) (Level 6)

Leads and takes full responsibility for clinical safety hazard analysis and risk assessment on systems.

Complex projects (SFEN) (Level 6)

Manages clinical risk activities for digital health products of any scale, adapting the clinical risk management system to match the complexity of the solution. Provides leadership, guidance and expert advice to ensure safe delivery in complex or high-risk environments.

System development standards (DLMG) (Level 6)

Sets the clinical risk management system and drives adherence for standards for systems development projects, whether predictive (plan-driven) approaches or more adaptive (iterative/agile) approaches.

Review planning (SFAS) (Level 6)

Approves the Clinical Risk Management Plan and aligns this with the organisational Clinical Risk Management System, where required can advise on alignment with project plans and wider governance requirements.

Assessment reporting (SFAS) (Level 6)

Liaises with the leadership to provide clinical risk assessment findings including face-to-face discussion and written feedback. Produces clinical risk assessment reports to agreed standards, including written outputs and verbal feedback. Reviews and approves clinical risk assessment reports written by others.

Analysis review (SFAS) (Level 6)

Assesses clinical risk management outputs included within the risk management file by others. Takes responsibility for quality assurance of all clinical risk management activities.

Advice and guidance (SFAS) (Level 6)

Provides advice and guidance on the clinical risk management of regulated and unregulated software to digital teams, highlighting non-compliance with standards and agreeing appropriate actions to address them.

Stakeholder engagement (Level 5) (BINT)

Plans and manages clinical coding activities in line with stakeholder requirements. Ensures that clinical coding processes are robust efficient and fit for purpose.

Security and safeguards (Level 5) (BINT)

Establishes strategic approaches to safeguarding clinical coding data and any analysis results, looking ahead to new and innovative approaches to data security

Policies, standards, and guidelines (Level 5) (BINT)

Leads the development of clinical coding policy, standards and guidelines to meet the current and future needs of the organisation.

Policies, standards, and guidelines (Level 5) (BINT)

Leads the development of clinical coding policy, standards and guidelines to meet the current and future needs of the organisation.

Methods and techniques (Level 5) (BINT)

Champions the organisation’s commitment to efficient and effective clinical coding.

Process, methods and standards (Level 7) (AUDT)

Sets direction and leads the introduction and use of clinical coding processes, methods and standards to meet business requirements, ensuring consistency of application and service provision.

Review findings (Level 7) (AUDT)

Leads the process improvement function to assess process improvement opportunities and maximise benefit.

Review findings (Level 6) (AUDT)

Authorises the issue of formal reports to management on the effectiveness and efficiency of control mechanisms and the extent of compliance of systems with standards, regulations and/or legislation.

Function leadership (Level 6) (AUDT)

Ensures audit coverage is sufficient to provide the business with assurance of adequacy and integrity. Obtains and manages appropriate specialist expertise to contribute highly specialised technical knowledge and experience where required.

Audit strategy (Level 6) (AUDT)

Works with senior management to review the effectiveness of existing audit strategy and contributes to strategy revision and/or definition.

Audit standards (Level 6) (AUDT)

Develops organisational policies, standards, procedures and guidelines for the conduct of audits.

Audit roadmap (Level 6) (AUDT)

Leads the production of the audit roadmap.

Audit planning (Level 6) (AUDT)

Leads the planning and resourcing of audits and/or conformance reviews at organisation level, ensuring objectivity and impartiality of the audit process is rigorously applied.

Advice and guidance (Level 6) (AUDT)

Provides general and specific clinical coding advice to senior management on ways of improving the effectiveness and efficiency of control mechanisms.

Security and safeguards (Level 5) (BINT)

Ensures that all clinical coding activity complies with data and information security processes.

Policies, standards, and guidelines (Level 5) (BINT)

Manages the development of clinical coding policy, standards and guidelines to meet the current and future needs of the organisation.

Risk assessment (Level 5) (AUDT)

Leads risk assessments and risk reviews. Identifies and evaluates associated risks and how they can be mitigated.

Audit standards (Level 5) (AUDT)

Contributes to the development of new internal standards and updates to existing standards.

Audit roadmap (Level 5) (AUDT)

Contributes to the development of the audit roadmap.

Audit management (Level 5) (AUDT)

Ensures audits under own responsibility are managed, planned, resourced, and executed within roadmap timescales.

Advice and guidance (Level 5) (AUDT)

Provides general and specific audit advice to management on ways of improving the effectiveness and efficiency of control mechanisms.

Information requirements and search (Level 4) (BINT)

Determines what information is required, and defines search and other criteria to meet a specified requirement.

Analysis (Level Four) (BINT)

Undertakes analytical activities to deliver analysis outputs in accordance with service needs and conforming to agreed standards.

Sourcing and validation (Level Four) (BINT)

Investigates available internal and external information sources to establish what information is available. Identifies and establishes the reliability and data risks of external sources of information of relevance to the operational needs of the enterprise.

Security and safeguards (Level Four) (BINT)

Ensures that all clinical coding activity complies with data and information security processes.

Policies, standards, and guidelines (Level Four) (BINT)

Contributes to the development of local clinical coding policy, standards and guidelines.

Analysis (Level Four) (BINT)

Undertakes analytical activities to deliver analysis outputs, conforming to agreed standards.

Security and safeguards (Level Three) (BINT)

Applies appropriate security and quality safeguards to the handling of data, information, and any analysis results throughout the data lifecycle.

Analysis (Level Three) (BINT)

Undertakes basic analytical activities, and assists with more complex activities, to deliver analysis outputs that conform to agreed standards.

Sourcing and validation (Level Three) (BINT)

Investigates available information sources to establish what information is available. Assesses the integrity and reliability of data from identified sources.

Sourcing and validation (Level Two) (BINT) Copy

Assists in the investigation of available information sources to establish what information is available and the reliability of such information.

Security and safeguards (Level Two) (BINT)

Assists in the application of appropriate safeguards and security procedures to the handling of data and any analysis results.

Validation (DATM) (Level Five)

Independently validates external information from multiple sources.

Management and leadership (DATM) (Level Five)

May take responsibility for managing a team or contributing to the development of staff within an organisation. May be involved in scheduling staff activities and planning future data governance activities.

Data governance (DATM) (Level Five)

Defines and implements data governance processes, including classification, quality, retrieval and retention processes. Champions data ownership and stewardship to raise awareness of data and its value as a strategic asset.

Data structures (DATM) (Level Five)

Derives data governance structures and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation.

Validation (DATM) (Level Four)

Assesses the integrity of data from multiple sources.

Data structures (DATM) (Level Four)

Enables the availability, integrity and searchability of information through the application of formal data and metadata structures and protection measures.

Data governance (DATM) (Level Four)

Understands the concept of managing data as an asset and the roles of data ownership and data stewardship. Provides support, advice and guidance on data governance good practice.

Validation (DATM) (Level Three)

Monitors and maintains data quality through regular reviews and validation checks.

Data structures (DATM) (Level Three)

Protects the availability, integrity and searchability of information through the application of formal data structures and protection measures.

Data governance (DATM) (Level Three)

Communicates the details of data governance procedures to others, helping their understanding and compliance.

Evaluation (Level Four) (MLNG)

Advises on the effectiveness of specific techniques, based on project findings and on knowledge of wider research. Assesses machine learning suitability and designs and develops machine learning solutions for a range of business problems.

Solutions (Level 5) (DAAN)

Leads the implementation of data analytics solutions.

Processes, tools and methods (Level 5) (DAAN)

Guides the selection and application of advanced analytical techniques.

Process and validate (Level 5) (DAAN)

Manages data analytics activities, establishing frameworks and methodologies aligned with business objectives and data governance policies.

Business needs (Level 5) (DAAN)

Translates business needs into analytics requirements and identifies data-driven solutions.

Policies (Level Five) (MLNG)

Contributes to the development of organisational policies for the creation, training and use of machine learning systems.

Evaluation (Level Five) (MLNG)

Architects end-to-end machine learning pipelines and systems. Evaluates and selects appropriate tools, frameworks, and infrastructure for machine learning projects.

Collaboration (Level Four) (MLNG)

Collaborates with cross-functional teams to integrate machine learning models into production systems. Conducts in-depth performance analysis and troubleshoots issues.

Collaboration (Level Five) (MLNG)

Collaborates with stakeholders to align machine learning initiatives with organisational goals.

Strategy (Level Six) (DAAN)

Develops organisational strategies and roadmaps for data analytics.

Process and validate (Level Six) (DAAN)

Oversees the delivery of analytics projects and programmes. Promotes the ethical use of data and data analytics.

Processes, tools and methods (Level Four) (DAAN)

Contributes to the development of data analytics processes and standards. Identifies opportunities for improving data analytics practices.

Data preparation (Level Four) (DAAN)

Cleans raw data by identifying and resolving duplicates, errors, extreme values, and other anomalies.

Data analysis (Level Four) (DAAN)

Conducts end-to-end data analysis, defining data requirements and ensuring data integrity.

Data preparation (Level Three) (DAAN)

Supports data analytics by gathering and preparing data from multiple sources.

Data analysis (Level Three) (DAAN)

Applies analytical and statistical methods and software tools to analyse data and develop reports.

Collaborate (Level Three) (DAAN)

Collaborates with team members to refine analysis techniques and ensure data quality.

Methods and procedures (KNOW) (Level 5)

Maintains an awareness of current and emerging knowledge management methods, technologies and processes. Assesses their relevance and potential business value to establish the feasibility for inclusion in the knowledge management strategy.

Capability development (KNOW) (Level 5)

Contributes to creation or review of a knowledge management capability, preparing background documents, cataloguing existing IT provision and describing the effectiveness of existing policies, strategies, processes and standards.

System development standards (DLMG) (Level 7)

Manages the process for establishing and maintaining the organisation’s systems development standards, methods and procedures and for ensuring that they are adhered to. Manages existing software process improvement approaches and/or develops new approaches to achieving improvement.

Resource planning (DLMG) (Level 7)

Oversees the resourcing of the agreed programme of systems development, taking full responsibility for the provision of IT resources and advising on requirements for client/user resources.

Project and programme definition (DLMG) (Level 7)

Typically, within a large organisation, works with senior client or user management to define a costed and prioritised programme of systems development which supports the organisation’s objectives and strategic plans. Communicates information about the agreed programme, and how it supports the organisation’s objectives.

Programme assurance (DLMG) (Level 7)

Ensures that the programme of systems development is implemented in a coherent and consistent manner, liaising as necessary with IS, ICT and client/user management to ensure that planned systems developments are compatible with the organisation’s existing systems, infrastructure and strategic plans.

Policy making (DLMG) (Level 7)

Plays a major part in the wider policy making and overall management of information within the organisation.

Performance management (DLMG) (Level 7)

Tracks and reports objectives and key results (OKR) progress. Supports PMO with portfolio governance and management, reporting on development activities and supporting preparation of performance management artefacts such as quarterly business reviews.

Monitoring progress and security (DLMG) (Level 7)

Ensures that systems and procedures for monitoring and reporting on the progress of systems development projects are in place and operated effectively, and that action is taken to deal with exceptions, problems and unforeseen events in a timely manner.

Development processes (DLMG) (Level 7)

Facilitates development ceremonies such as Monthly Team Planning, Weekly Scrum of Scrums and Sprint Demos. Identifies, tracks, removes and escalates impediments at intra-department level.

Capability development (DLMG) (Level 7)

Owns function level resource plans, forecasts future resource requirements, and works with appropriate stakeholders to agree future resourcing strategies.

Methods and procedures (KNOW) (Level 2)

Maintains information handling procedures.

Data transformation (KNOW) (Level 2)

Works under supervision to transform information from one format/medium to another — includes reference data as appropriate.

Requirements and advice(KNOW) (Level 4)

Can advise clients/users on suitable knowledge management tools, processes and procedures. Advises on existing knowledge management artefacts.

Performance management (KNOW) (Level 4)

Interrogates existing knowledge content to identify issues, risks and opportunities. Determines the effectiveness of data from a range of sources to determine the value and impact of using that data.

Methods and procedures (KNOW) (Level 4)

Maintains familiarity with all knowledge management processes, methods and techniques used to acquire, capture, classify, store and maintain assets –including organisational policy, intellectual property rights and data protection legislation. Advises less-experienced colleagues, users and partners on these aspects of knowledge management.

Knowledge asset creation (KNOW) (Level 4)

In collaboration with clients/users, uses agreed tools, templates and standards to design and create knowledge management assets. Takes account of the special requirements of the visually impaired and hard of hearing. Takes account of security and sensitivity of data, information and knowledge and the processes that turn data into knowledge.