Finance Systems, Data and Technology | Grade 7

Summary

Role Summary

Finance Systems, Data and Technology G7s lead the delivery of financial systems and data management within an organisation. They will ensure that the delivery of financial systems and data management are efficient, effective and meet the needs of other finance processes. Their knowledge of systems, technology and data management, stakeholder insight and ability to work constructively with people at all grades will make them a valued contributor to the decision-making process. They are a champion for change, helping to deliver continuous improvement as well as supporting wider transformation efforts. This post holder will need to establish and develop effective working relationships with a number of stakeholders across the organisation, the wider finance function, in particular in the Digital and Data functions as well as colleagues in other functions and public sector organisations.

Typical Role Responsibilities

G7s are expected to:

Management:

Oversee team priorities and resourcing to ensure the effective delivery of the financial system, data and technology.

Systems:

Lead the development of financial system technologies being a focal point for change and a subject matter expert.

Data Management:

Use insights from stakeholder engagement and data to effectively manage and improve the performance of systems.

Ensure the integrity and accuracy of data in use across all financial systems through application of appropriate system controls, regulatory standards and policies.

Intelligent Customer Function:

Provide expert advice regarding systems and technology to stakeholders within the organisation and across government.

Enable and manage change that allows more flexibility, responsiveness and improved service delivery and user experience.

Manage financial system contract.

Entry Route

Suitable for candidates from:

Finance
Government Digital Service - GOV.UK (previously known as Digital Data and Technology)
Project Delivery
Analysis & Insight

Typical Qualifications

Essential:

Level 4 qualified with AAT, CCAB or CIMA?(for example CIMA Operational Level)

And / Or

Hold a relevant qualification in Digital or Project Delivery with significant exposure to Financial / Finance Enterprise Resource Planning Systems dependent on the role/departmental structure

And

Extensive relevant financial expertise

Please see desirable criteria on the detailed grade page.?

Responsibilites

Tasks

Overseeing team priorities and resourcing to ensure the effectively delivery of the financial system(s), data and technology within the organisation.
Using insights from stakeholder engagement and data to effectively manage and improve the performance of systems, the data model, and empower the wider business to make best use of data assets.
Feeding into reviews of finance systems effectiveness, root cause analysis, and data policies and governance processes to ensure fit for purpose.
Developing automated processes to deal with repetitive and complex finance tasks; refining existing machine learning algorithms and generative AI tools to generate insights and predict future outcomes based on historical data. Integrating AI tools into traditional financial models to enhance accuracy and efficiency.
Ensuring the integrity and accuracy of data in use across all financial systems through application of appropriate system controls, regulatory standards and policies, utilising modern analytic tools.
Leading on the use of advanced data analytics and visualisation tools to identify patterns, trends and extract meaningful insights to support effective decision making, drive efficiency and effectiveness.
Managing aspects of financial systems contracts.
Enabling and managing change that allows more flexibility, responsiveness and improved service delivery and user experience. Forms of change can include both continuous improvement or transformation.
Providing expert advice regarding systems, technology and data to stakeholders within the organisation and across government.
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Please note - The above list includes typical tasks at this grade.

To see the role responsibilities, please visit Finance Systems, Data and Technology for more info.

Expectations

Behaviours

For details of Behaviours read the Success Profiles guidance on GOV.UK.

Seeing the Big Picture
Working Together
Making Effective Decisions
Leadership
Communicating and Influencing
Delivery at Pace
Managing a Quality Service
Developing Self and Others

Interpersonal Skills

Excellent people management skills with the ability to promote team cohesion, adapt to changes and improvements.
Strong communication and presentation skills and able to communicate at all levels and areas of expertise.
Excellent stakeholder management skills to build collaborative relationships with a range of people and teams, being able to manage conflict effectively.
Organisational design skills in leading and/or influencing organisational change.
Highly developed planning and organisational skills in a financial environment, including experience of delivery and meeting tight deadlines.
Effective personal resilience to work flexibly and adapt to changing priorities to meet the organisation's outcomes
Effective personal resilience to work flexibly and adapt to changing priorities to meet the organisation's outcomes.

Professional Skills

Key for Levels of Professional skills

A = Awareness

W = Working

P = Practitioner

L4 = Level 4

L5 = Level 5

Subheadings	Professional Skills	Level	Learning Resources
	Communication skills	P	"Communicating with customers"
	Strategic analysis and insight	W	"Strategic Finance Knowledge Network"
	Influencing skills	P	"Influencing skills"
	Commercial acumen	P	"The Commercial Journey"
	Financial reporting	W/P	"Financial skills for all"
	Project management	W/P	"Project planning"
	Change management	W/P	"Managing change toolkit"
	Business analysis	W/P	"Understanding and using business cases"
	User research	A/W	"Customer insight"
	Data analysis	A/W	"Data analysis"
Desirable	Understanding of government finance guidance	A	"Finance Foundations"
	Risk management	A	"Risk Management"
	Data Science	A	"Data and analysis"
	Data Analysis: Proficiency in tools like Excel, SQL, R, Python, and data visualization tools such as Tableau or Power BI for developing AI models and data analysis; SQL for database management and querying	A/W
	Statistical and Quantitative Analysis: Strong understanding of statistical methods and quantitative analysis techniques.	A/W
	Machine Learning:? Understanding machine learning algorithms and techniques, such as supervised and unsupervised learning, neural networks, and deep learning. Familiarity with platforms like TensorFlow, Keras, and Scikit-learn	A/W
	Natural Language Processing (NLP): Understanding NLP techniques to analyse text data from financial reports, news articles, and social media. Familiarity with NLP libraries like NLTK, spaCy, and Apache OpenNLP.	A/W
Skills for the Information Age (SFIA) Framework	Enterprise and business architecture STPL	L5	"Enterprise and business architecture"
	Business Modelling BSMO	L5	"Business modelling"
	Requirements definition & management REQM	L5	"Requirements definition and management"
	Business process testing BPTS	L5	"Business process testing"
	Data modelling and design DTAN	L4	"Data analysis"
	Service level management SLMO	L5	"Service level management"
	Configuration management CFMG	L5	"Configuration management"
	Relationship management RLMT	L5	"Relationship management"

Qualifications

Essential:
- Level 4 qualified with AAT, CCAB or CIMA?(for example CIMA Operational Level)
And / Or
- Hold a relevant qualification in Digital or Project Delivery with significant exposure to Financial / Finance Enterprise Resource Planning Systems dependent on the role/departmental structure
And
- Extensive relevant financial expertise
Desirable:

1. Project Management
- PRINCE2 - Managing Successful Programmes at least Foundation at Practitioner Level.
Or
- Project Fundamentals Qualification PFQ. | The APM PFQ Course
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2. Infrastructure and Projects Authority (IPA) Accreditation

(now known as National? Infrastructure and Service Transformation Authority - NISTA)
- National Infrastructure and Service Transformation Authority - GOV.UK
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3.?Digital, Data and Technology
Details of how to gain a finance qualification through an apprenticeship can be found here:
- Apprenticeships on OneFinance
- Apprenticeships on Civil Service Learning

Entry and Progression Routes

Entry Routes

Within Finance

This role may be suitable for individuals in:

Finance Systems, Data and Technology SEOs
Finance SEO / G7 posts with a good understanding of financial systems, data and/or technology.
Finance SEO / G7 posts with experience of enabling change, continuous improvement or organisational transformation.

For more information on qualification, please visit the?Finance Systems, Data & Technology?main page.

From Outside Finance

This role is suitable for:

Established Project Delivery professionals with sufficient previous experience in finance and/or willingness to meet the qualification expectations.?
Established Digital, Data and Technology professionals with sufficient previous experience in finance and/or willingness to meet the qualification expectations.?

For more information on qualification, please visit the?Finance Systems, Data & Technology?main page.

Progression Routes

Depending on the entry route, staff in this role typically move into:

Finance Systems, Data and Technology G6 roles including business as usual & continuous improvement roles as well as Finance Transformation Programme Manager roles.
Digital, Data & Technology G6 Roles, which include corporate systems technology management and/or transformation in their remit.