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Lead Data Modeller

Premium Job From Care Quality Commission
Recruiter: Care Quality Commission
Listed on: 23rd November 2020
Location: Leeds
Salary/Rate: £37,694 (National Framework) or £42,590 (London Framework - if you are London office based or homebased and live within the boundary of the M25)
Salary Notes: £37,694 (National Framework) or £42,590 (London Framework - if you are London office based or homebased and live within the boundary of the M25)
Type: Permanent
Start Date: ASAP

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Lead Data Modeller
Job available in these locations: London, Newcastle and Leeds.
Grade B - £37,694 (National Framework) or £42,590 (London Framework - if you are London office based or homebased and live within the boundary of the M25)
Contracted Hours: Full time 37 hours per week
Contract Type: Secondment/Fixed Term 18 Months
Closing date: Sunday 13th December 2020 at 11.59pm
In line with the Care Quality Commission estates strategy, we are planning to move our London office from 151 Buckingham Palace Road to 2 Redman Place, Stratford, East London in late 2020.
Are you committed to helping us regulate health and social care within England?
We are looking for individuals who are caring, demonstrate integrity, work well as part of a team and always strive for excellence in everything they do. Help us make sure health and social care services provide people with safe, effective, compassionate, high-quality care and encourage care services to improve.
Let us tell you a little bit about the role....
A Lead Data Modeller is required to work on our Regulatory Platform Programme to help promote a data-driven culture.  With a passion for change and a focus on enterprise standards, maturity, and controls the post holder will work at the boundary between business and technology.
What we're looking for from you...
Accountabilities:

Responsible for the design, build and maintenance of the enterprise data model, as part of the information management strategy, and the principles guiding its design and evolution.
Use techniques in data modelling to explore the high-level concepts and how those concepts relate together across the organisation's information systems, to support CQC products, systems and services.
Define data governance practices and policies for the management and use of data models, associated meta model, common business vocabulary, ontologies and taxonomies
Identify data anomalies and other inconsistencies with the architecture and work with business/data owners to resolve them
Help to maintain a centrally agreed set of data definitions and terms of reference around data and reporting. For example a data dictionary that details the information required to meet system requirement features or to implement business process change.
Provide expert advice to business teams on data standards, engaging with colleagues early in the design phases of products and services
Work with the business and technical teams to fully understand the business requirements and be able to translate them into data structures and also account for changing business needs Translate business requirements into logical, conceptual and physical data models
Work closely with colleagues in Engineering, Architecture, and Product to create an integrated model spanning multiple lines of business and subject areas within the operational databases and data warehouses.
Collaborate with Engineers to create optimal physical data models, making recommendations for standardisation and proper data usage.
Responsible for defining and governing data modelling and design standards, tools, best practices, and related development methodologies.
Work across government and industry, recognising opportunities for re-use and alignment between the data models in different organisations.
Support the delivery of CQC's agile (and other) delivery methods and practices; focussing on delivering a responsive, customer focused delivery approach.
Provide leadership and coaching to team, or where appropriate across the organisation
Present, explain and advocate data modelling principles and strategy to wide audience, including both technical and non-technical colleagues and senior stakeholders. Influential and credible with all stakeholders, colleagues and suppliers
Understanding of multi-skilled, multi-disciplinary Agile delivery teams.
Have the appropriate knowledge, skills and experience to actively promote diversity and equality of opportunity, treat everyone with dignity and respect and avoid unlawful discrimination.

Essential Skills and Experience:

High level of educational attainment, a good first degree or equivalent experience.
Expertise in data modelling including conceptual, logical and physical with a good understanding of where to use, and how to compare between different types of data models
Expertise in industry recognised data modelling patterns and standards. Understands the concepts and principles of data modelling, and produces relevant data models with Standardised concepts and definitions across applications
Experience in modelling tools such as Erwin and ER/Studio
Ability to reverse engineer a data model from an established system
Good understanding of how data models should be categorised within the organisation
Experience in data-warehousing, dimensional modelling and de-normalisation
Expertise in building dimensional/reporting structures
Experience in transactional/relational databases, and normalisation
Experience of modelling with structured data and designing with unstructured data
Experience in contributing to enterprise data governance framework to document the processes clearly
Experience with data architecture and design patterns
Experience managing a data model repository
Experience with coordinating data modelling activities with metadata management
Knowledge of data profiling tools and techniques.
Experience with data management and governance principles
Ability to quickly learn and adapt modelling methods from case studies or other proven approaches, ability to quickly learn and adopt new technologies and disciplines
Able to communicate across a spectrum of stakeholders having varying degrees of technical understanding, adapting style and approach to meet the needs of the audience.
Must be able to provide design options, alternatives and recommendations based on experience and best practices for data modelling