Summary
As a senior leader in this role is central to leading across data science and business intelligence to develop a strategy that supports a generational change in how we deliver health and/or social care.
The post holder will be responsible for the management of the data and intelligence teams that deliver services to all teams across the organisation. They will be responsible for developing a data strategy and for delivering that within the allocated resources. Plans to achieve the strategy will be underpinned by the delivery of short to medium term objectives.
The post holder will manage a team of analysts and data scientists within and will be expected to regularly work with Exec directors, the board and other senior stakeholders.
Work Activity Components
| Title | Details |
|---|---|
| Capability development (DATS) (Level 6) | Leads the development of organisational capabilities for data science. |
| 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. |
| Model evaluation and advice (Level Six)(DATS) | Leads the introduction and use of data science and analytics to drive innovation and business value. |
| Solution development (DATS) (Level 6) | Plans and leads strategic, large and complex data science initiatives to generate insights, create value and drive decision-making |
| BI reporting (BINT) (Level 5) | Ensures that appropriate reporting techniques are used and manages the reporting of results to clients, management and external audiences. |
| Information requirements and search (Level 5)(BINT) | Evaluates the need for analytics, and assesses the problems to be solved and which internal or external data sources to use or acquire. |
| 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. |
| 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. |
| Career paths and mentoring (PEMT) (Level 5) | Advises individuals on career paths, and encourages pro-active development of skills and capabilities. Provides mentoring to support professional development. |
| Empowerment and role model(PEMT) (Level 5) | Facilitates effective working relationships within and between teams of staff. Motivates groups of staff and teams towards a high level of performance. Engages with, and empowers groups of staff. Acts as a role model for groups of staff, setting a standard, acting professionally at all times and working to a professional code of conduct and ethics. |
| Formal appraisals (PEMT) (Level 5) | Conducts formal appraisals of the performance of team members. Facilitates a dialogue with team members about expectations, progress, performance and development needs. Participates, as appropriate, in formal processes such as compensation negotiations, grievance procedures, and disciplinary procedures. |
| Guidance, performance and feedback (PEMT) (Level 5) | Optimises the performance of people, measuring and reporting on performance against agreed quality and performance criteria. Collects data on the performance of groups of staff. Gives regular feedback to teams and senior staff as to team performance on work packages. |
| Team dynamics (PEMT) (Level 5) | Integrates staff into teams to perform packages of work, taking account of individual and team capabilities. Consider the importance of skill mix within teams. Is sensitive towards team dynamics. |
| Transformation and change (PEMT) (Level 5) | Manages teams involved in significant transformation projects and/or during times of change, aligning change programmes with staff skills and capabilities. Supports staff, through difficult and challenging change programmes. |
| Work allocation, support and delegation (PEMT) (Level 5) | Allocates responsibilities, including supervisory and assigns packages of work to groups of staff. Ensures that work packages are aligned with the particular skills and abilities of teams. Supports teams in the delivery of work packages. Delegates work to individuals and teams, taking full account of skills and capabilities. |
Behavioural Skills
| Title | Details |
|---|---|
| Analytical Thinking | Acquiring a proper understanding of a problem or situation by breaking it down systematically into its component parts and identifying the relationships between these parts. Selecting the appropriate method/tool to resolve the problem and reflecting critically on the result, so that what is learnt is identified and assimilated. |
| Conceptual Thinking | Acquiring understanding and insights regarding the underlying issues in complex problems or situations through the development of abstract representations, the identification of patterns and the analysis of hypotheses. |
| Creativity | Taking innovative approaches to problem solving and/or devising inventive and creative solutions. |
| Critical Thinking | The ability to think clearly and rationally; review and evaluation of processes and outputs; the ability to engage in reflective and independent thinking; reasoned thinking involving critique. |
| Customer Focus | Understanding the needs of the internal or external customer and keeping these in mind when taking actions or making decisions. |
| Delegation | Delegating tasks, responsibilities and authorities effectively. |
| Follow-up and Monitoring | Checking progress against targets, taking action to resolve exceptions/ issues and reporting and escalating where necessary. |
| Holistic Thinking | The ability to place problems in the context of the wider business landscape or area of interest. Understanding how different business functions work together to achieve shared goals. |
| Influence, Persuasion and Personal Impact | Conveying a level of confidence and professionalism when engaging with stakeholders, influencing positively and persuading others to take a specific course of action when not in a position of authority. |
| Interacting with People | Establishing relationships, contributing to an open culture and maintaining contacts with people from a variety of backgrounds and disciplines. Effective, approachable and sensitive communicator in different communities and cultures. Ability to adapt style and approach to meet the needs of different audiences. |
| Leadership | Clearly articulating goals and objectives, and motivating and leading others towards their achievement. |
| Organisational Awareness | Understanding the hierarchy and culture of own, customer, supplier and partner organisations and being able to identify the decision makers and influencers. |
| Providing Direction | Directing others to undertake specified tasks within a defined timescale. |
Technical Skills
| Title | Details | Depth |
|---|---|---|
| Analytical Tools | Analytical, statistical and machine learning tools appropriate to the organisational environment. Able to apply these tools and techniques to meet the requirements of stakeholders. | Proficient in |
| Big Data | The discipline associated with data sets so large and/or complex that traditional data processing applications are inadequate. The data files may include structured, unstructured and/or semi-structured data, such as unstructured text, audio, video, etc. Challenges include analysis, capture, curation, search, sharing, storage, transfer, manipulation, analysis, visualization and information privacy. | Proficient in |
| Business Intelligence/Data Warehouse Theory | Knowledge and understanding of business intelligence/data warehouse theory. | Expert in |
| Cyber Security Concepts | The understanding of cyber security concepts and ability to effectively translate and accurately communicate security and risk implications across technical and non-technical stakeholders so that they are understood and applied. | Familiar with |
| Data Handling | The ability to harvest, clean, curate, manage, process and manipulate data in a variety of formats. | Expert in |
| Database Modelling and Design Tools | Tools and techniques that assist in creating a logical entity model and/ or generating a physical database. | Proficient in |
| Database Software | Software that enables the user to capture, create, populate and manipulate data structures and where appropriate unstructured data. | Proficient in |
| Information and Data Visualisation/Presentation | The ability to visualise and present information and data in an appropriate format that helps stakeholders understand the significance of the information and data. | Expert in |
| Information Modelling Tools | Using tools (manual or automated) to record the structure, relationships and use of information within an organisation. | Proficient in |
| Information Retrieval Tools | The application of automated (software) tools that enable selective access to information, or extraction of patterns and knowledge from large amount of data, typically held within some form of database or data warehouse. Also referred to as Data Mining. | Proficient in |
| Machine Learning Tools and Techniques | Knowledge and understanding of the development of intelligent agents, able to mimic cognitive functions, react to stimuli, and improve automatically through experience and the use of data. | Proficient in |
| Metrics | The collection, analysis and application of historical and synthetic measurements in the estimation of IT activities. | Proficient in |
| Programming Languages | A set of codes and syntax (supported by software tools) that enables the unambiguous translation of specified functionality into source code for the creation of computer programs. | Familiar with |
Other Skills
| Title | Details | Depth |
|---|---|---|
| Appraisal Techniques | Methods and techniques for appraising an individual's performance and potential. | Proficient in |
| Artificial Intelligence Concepts | Understanding of concepts and trends in artificial intelligence and the potential benefits and real-world implications, including risk and security, of its deployment within the organisation. | Proficient in |
| Budgets | Principles, methods, techniques and tools for the preparation and monitoring of budgets to manage costs and ensure cost-effectiveness and value for money. | Familiar with |
| Coaching Techniques | Methods and techniques for coaching individuals or groups by a balanced combination of support and direction, which could include use of virtual learning environments plus add-ons to augment feedback specific to work items, workflow or career plans. | Proficient in |
| Data Analysis Techniques | Techniques and tools for the investigation, analysis and recording of data or a system of interest. | Familiar with |
| Data Protection | Principles, practices, tools and techniques to ensure data protection. | Familiar with |
| Disciplinary Issues and Procedures | Managing episodes of unsatisfactory behaviour or performance in accordance with appropriate policies and legislative conformance. Includes changes to circumstances, such as sickness, disability and other personal issues. | Familiar with |
| Function or Department Operations | The activities, structure, and position in the organisation of the functions or departments for which services are provided. | Proficient in |
| Performance Monitoring | Identifying, agreeing and monitoring (usually by face-to-face interviews) objectives and deliverables with individuals. Identifying under-performance issues against agreed quality standards and performance criteria. Identifying gaps in capability and causes, disciplinary or ability-related (needing assistance, training or other support). | Proficient in |
| Presentation Techniques | Methods and techniques for delivering effective and accessible presentations, either face-to-face or online within various contexts and to a variety of audiences. | Proficient in |
| Resource Allocation | The effective and efficient routine deployment of resources, (but also including reassessment and reallocation in a dynamic multi-project environment), to achieve optimum results. | Proficient in |
| Standards Writing Techniques | Principles, methods and techniques for establishing, documenting, and maintaining standards. | Proficient in |
| Statistical Sampling Techniques / Assumption Testing | Methods and techniques for ensuring valid results are obtained by means of sampling and assumption testing. | Proficient in |
| Team Dynamics | Knowledge and understanding of the psychological and environmental forces that influence the direction of team behavior and performance and the tools and techniques to improve team cohesion and performance. | Familiar with |
| Techniques for Effective Meetings | Methods and techniques for running effective meetings and for understanding and influencing the roles played by participants. | Proficient in |
Training
| Title | Details |
|---|---|
| Diversity and Inclusion | Raise diversity in-the-workplace awareness in order to better understand how the world looks through the eyes of people of a different age, race, gender, sexuality, etc, improve communications with people from diverse backgrounds and reduce the levels of unconscious bias in decision-making. |
| Human Resource Planning | Techniques and practices involved in planning the numbers and types of personnel needed over time by a particular skillset, department or function within an organisation. |
| Latest Cyber Security Threats for Senior Execs | Short, high-level, up-to-date and to-the-point briefing on the latest threats and vulnerabilities in cyber security. |
| Stakeholder Relationship Management | Negotiation, presentation and engagement skills to adapt and address the needs of different stakeholders to develop and maintain strong stakeholder relationships. |
Professional Development Activity (PDA)
| Title | Details | PDA Group |
|---|---|---|
| Gaining Knowledge of Broader IT Issues | Increasing and maintaining currency of knowledge of broader IT issues through reading, attending and participating in seminars or conferences, special studies, temporary assignments etc. | Increasing Knowledge |
| Gaining Knowledge of Standards and Legislation | Gaining and maintaining knowledge of relevant national and international standards and legislation. | Increasing Knowledge |
| Gaining Strategic Knowledge of Employing Organisation | Developing a comprehensive understanding of the business environment in which the employing organisation operates and its position, policies and direction in relation to health and care, country and global issues. | Increasing Knowledge |
| General Management | Continuing learning and development in general management skills, such as effective communication, leadership styles and skills, team building and team roles, motivation and delegation, planning and resource scheduling, influencing, persuasion and negotiation, so as to be in a position to accept greater responsibility at senior management or director (including non-exec) level. | Developing Professional Skills |
| Mentoring | Acting as a mentor, advising those for whom there is no direct responsibility, on matters to do with their job role, career and professional development. | Broadening Activities |
| Participation in Professional Body Affairs | Taking an active part in professional body affairs at branch, specialist group, committee or board level. | Participation in Professional Activities |
Qualification Components
| Title | Awarding Bodies |
|---|---|
| FEDIP Leading Practitioner | The Federation for Informatics Professionals |
Government Digital and Data Profession Capability Framework Skills
| Skill | Level |
|---|---|
|
Applied maths, statistics and scientific practices Applied social science involves using an understanding of the social sciences to evaluate and challenge assumptions made in relevant projects. |
Expert Applied maths, statistics and scientific practices You can: identify opportunities to develop statistical insight, reports and models to support organisational objectives, while collaborating across the organisation effectively critique statistical analyses use a variety of data analytics techniques (such as data mining and prescriptive and predictive analytics) for complex data analysis through the whole data life cycle use model outputs to produce evidence and help design services and policies understand a broad range of statistical tools, particularly those deployed within the organisation, and can use these appropriately and help others to use them |
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Applying statistical and analytical tools and techniques |
Expert Applying Statistical And Analytical Tools And Techniques You can: identify opportunities to develop statistical insights and reports that support organisational objectives develop and guide others in a range of statistical and analytical techniques and tools oversee the quality assurance of statistical techniques and analytical outputs, continually improving and innovating practices use statistical and analytical outputs to influence stakeholders across the organisation and beyond |
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Communicating between the technical and non-technical |
Expert Communicating between the technical and non-technical You can: mediate between people and mend relationships, communicating with stakeholders at all levels manage stakeholder expectations and moderate discussions about high risk and complexity, even within constrained timescales speak on behalf of and represent the community to large audiences inside and outside of government |
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Data Engineering Data engineering involves ensuring the correct systems are available to enable the collection, analysis and extrapolation of data. |
Practitioner Data Engineering You can:
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Ethics and privacy (data science) |
Expert Data Ethics And Privacy 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 |
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Data management |
Expert Data management You can: ensure data management and governance processes are in place and adhered to for the products and services your teams provide ensure data management responsibilities are clearly defined and training is in place to enable the execution of data management practices define strategies to enable continual improvement of data management practices and compliance with data governance policies |
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Data preparation and linkage |
Expert Data Preparation And Linkage You can: develop analytical data models using a deep understanding of data sources ensure data models are implemented using tools and systems that align with modelling standards set data quality standards in the organisation or beyond, and ensure stakeholders understand their importance mentor others in data quality and modelling |
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Data science innovation Data protection and ethics involves understanding the ethical and legal obligations of storing and protecting business critical information, and encouraging responsible data use. |
Practitioner Data science innovation You can: demonstrate practical knowledge of data science tools and techniques develop data science solutions that maximise insight identify opportunities for how data science can improve data practices |
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Data visualisation Data visualisation involves producing graphical representations that communicate data, such as charts and graphs. |
Expert Data visualisation You can:
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Delivering business impact |
Expert Delivering business impact You can: champion the role of data science within the organisation understand and champion user research, and can design and manage processes to gather and establish user needs identify and create opportunities to develop and deliver data science products to support organisational objectives, while collaborating across the organisation to fulfil meaningful goals take responsibility for delivering scalable data science products into the organisation, and establishing maintenance support |
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Delivering business impact through data Delivering business impact through data involves identifying the priorities of the organisation, recognising the contribution of data and making decisions with data to ensure you deliver business impact. |
Expert Delivering business impact through data You can:
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Developing code for analysis Developing code for analysis involves designing, implementing and improving analytical approaches, manually or via an interface. |
Expert Developing Code For Analysis You can: oversee and promote the implementation of coding standards and practices on existing and new analytical outcomes, products and services contribute to coding standards across the organisation ensure reproducibility of code and code documentation across the organisation |
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Developing data science capability |
Expert Developing data science capability You can: act as a leader or technical specialist, providing detailed support and guidance within the organisation and helping colleagues to develop skills set the direction of CPD (continuous professional development) within your team keep up to date with new developments in data science and can match those to opportunities in your organisation talk confidently about the benefits of data science approaches to existing and potential customers demonstrate an in-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and detailed knowledge of at least one specialism use these techniques to build data science solutions, including reports, models and dashboards |
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Managing a data project Managing a data project involves understanding, planning and implementing the stages of a data project to solve a problem or design and improve a service. |
Expert Managing a data project You can:
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Programming and build (data science) |
Expert Programming and build (data science) You can: write complex programs and scripts seek to make code open source where appropriate supervise junior analysts and set coding standards for your team understand software architecture and how to write efficient, optimised code perform user testing on products prior to launch |
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Understanding product delivery |
Practitioner Understanding product delivery You can: understand the differences between delivery methods, such as Agile and waterfall, and can choose the most appropriate method to deliver each product define the minimum viable product (MVP) and support decisions about priorities work with specialists in multidisciplinary teams to smoothly deliver data science products into the organisation |
The Professional Body Responsible for this job family is AphA. This job role profile was created in collaboration with BCS, using Role Model Plus.