198 Sap Mdm jobs in the United Kingdom
Data Governance & Data Quality Consultant
Posted today
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Data Governance & Data Quality Consultant
Posted today
Job Viewed
Job Description
Data Governance & Data Quality Consultant
Posted 2 days ago
Job Viewed
Job Description
Role: Data Management & Data Quality Consultant
Practice: Data
Capability: Data Governance
Who are Valcon:
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and even Croatia.
Valcon is private equity backed and in recent years has bought together some of the most exiting companies from these companies to form one of the brightest and most exciting consultancies around.
We’re one of the fastest growing companies across Europe and have no plans to stop.
What do we do:
Our mission is to combine premium consulting with deep technology and data knowledge to add value to our clients.
The opportunity:
Valcon UK is seeking Data Governance & Data Quality Consultant to join our growing Data Governance capability within our Data Practice.
Overview of Data Practice:
Every company has data challenges, easy or complex, big or small. This asks for flexibility and in-depth knowledge of data solutions and techniques. We help to define the data strategy and implement best-fit data solutions.
Being a leader on data services, running projects for and with our clients, we strive to be the best-in-class by delivering high quality, advanced data solutions to help our clients become strong and leading companies.
Valcon combines all we have to offer – Consulting, Data and Technology – in projects. We strive to be a long-term full service partner implementing robust solutions and increasing value for our clients.
Valcon is the benchmark for modern data solutions.
Our Data Practice has 5 capabilities:
- Data Governance
- Data Management
- Data Platforms
- Artificial Intelligence
- Data Analysis
The role:
We are looking to recruit a well-organised and self-motivated Consultant to support growing client demands in the Data Strategy, Data Governance and Data Quality Domains. The ideal candidate will have a proven track record of advising clients on options for suitable approaches to Data Governance to underpin client business goals and outcomes. Candidates may be actively consulting in Data Governance or be looking to take their next steps from the implementation of Data Management solutions.
And a demonstrated track record of:
- Have at least 5+ years’ of experience in data consulting in a Data Management role or similar, with hands-on experience of Data Governance and Privacy frameworks, such as DAMA.
- Have a strong understanding of regulatory requirements for Data Governance e.g. GDPR, DPA, PECR, etc.
- Proven experience of delivering practical approaches to Data Governance e.g. specifying appropriate ownership models, adapting/defining roles, introducing/improving policies, and processes.
- Knowledge and experience of Data Governance suites from vendors such as Informatica, Collibra, Alation, IBM, Profisee, Semarchy & Atacama covering:
- Master Data Management
- Data Quality
- Data Integration
- Data Cataloguing Preference will also be given to candidates who have knowledge and experience of Transformation and Change Management principles.
- Preference will also be given to candidates with knowledge and experience of Cloud-based Data Governance Solutions.
Responsibilities include:
As you develop in the role, you will become a trusted advisor, supporting clients to turn their Business Objectives into actionable Data Strategies, which may involve the design, implementation and adoption of Data Governance and Quality frameworks, maturity assessments and health checks, through to supporting a team of Data Consultants to efficiently and effectively install and configure the latest Data Management solutions.
As a consultant, you will also be experienced in dealing with the ‘people’ factor, and the wide variety of national and corporate cultures that we meet in our daily business. You will need to adapt and draw on a breadth of communication and analytical skills to appeal to your audience, be they businesspeople looking for business value, or technical experts looking for technical discipline and rigor. You will be able to employ your analytical mindset to get to the root of the client’s Data challenges and offer practical solutions as well as opportunities to expand the client brief.
We offer you:
The opportunity to work in a diverse and international environment with an informal culture, with a flat hierarchy, in which we cooperate across business areas and levels. We care about results, first and foremost. We care about people and how we can constantly challenge each other to become better. Your background is less important to us than your ability to create results, to create change. We prize excellence and ingenuity but know that both have to be grounded in reality. The reality of making our clients ready for the future.
Valcon Group is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.
Data Governance & Data Quality Consultant
Posted 2 days ago
Job Viewed
Job Description
Role: Data Management & Data Quality Consultant
Practice: Data
Capability: Data Governance
Who are Valcon:
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and even Croatia.
Valcon is private equity backed and in recent years has bought together some of the most exiting companies from these companies to form one of the brightest and most exciting consultancies around.
We’re one of the fastest growing companies across Europe and have no plans to stop.
What do we do:
Our mission is to combine premium consulting with deep technology and data knowledge to add value to our clients.
The opportunity:
Valcon UK is seeking Data Governance & Data Quality Consultant to join our growing Data Governance capability within our Data Practice.
Overview of Data Practice:
Every company has data challenges, easy or complex, big or small. This asks for flexibility and in-depth knowledge of data solutions and techniques. We help to define the data strategy and implement best-fit data solutions.
Being a leader on data services, running projects for and with our clients, we strive to be the best-in-class by delivering high quality, advanced data solutions to help our clients become strong and leading companies.
Valcon combines all we have to offer – Consulting, Data and Technology – in projects. We strive to be a long-term full service partner implementing robust solutions and increasing value for our clients.
Valcon is the benchmark for modern data solutions.
Our Data Practice has 5 capabilities:
- Data Governance
- Data Management
- Data Platforms
- Artificial Intelligence
- Data Analysis
The role:
We are looking to recruit a well-organised and self-motivated Consultant to support growing client demands in the Data Strategy, Data Governance and Data Quality Domains. The ideal candidate will have a proven track record of advising clients on options for suitable approaches to Data Governance to underpin client business goals and outcomes. Candidates may be actively consulting in Data Governance or be looking to take their next steps from the implementation of Data Management solutions.
And a demonstrated track record of:
- Have at least 5+ years’ of experience in data consulting in a Data Management role or similar, with hands-on experience of Data Governance and Privacy frameworks, such as DAMA.
- Have a strong understanding of regulatory requirements for Data Governance e.g. GDPR, DPA, PECR, etc.
- Proven experience of delivering practical approaches to Data Governance e.g. specifying appropriate ownership models, adapting/defining roles, introducing/improving policies, and processes.
- Knowledge and experience of Data Governance suites from vendors such as Informatica, Collibra, Alation, IBM, Profisee, Semarchy & Atacama covering:
- Master Data Management
- Data Quality
- Data Integration
- Data Cataloguing Preference will also be given to candidates who have knowledge and experience of Transformation and Change Management principles.
- Preference will also be given to candidates with knowledge and experience of Cloud-based Data Governance Solutions.
Responsibilities include:
As you develop in the role, you will become a trusted advisor, supporting clients to turn their Business Objectives into actionable Data Strategies, which may involve the design, implementation and adoption of Data Governance and Quality frameworks, maturity assessments and health checks, through to supporting a team of Data Consultants to efficiently and effectively install and configure the latest Data Management solutions.
As a consultant, you will also be experienced in dealing with the ‘people’ factor, and the wide variety of national and corporate cultures that we meet in our daily business. You will need to adapt and draw on a breadth of communication and analytical skills to appeal to your audience, be they businesspeople looking for business value, or technical experts looking for technical discipline and rigor. You will be able to employ your analytical mindset to get to the root of the client’s Data challenges and offer practical solutions as well as opportunities to expand the client brief.
We offer you:
The opportunity to work in a diverse and international environment with an informal culture, with a flat hierarchy, in which we cooperate across business areas and levels. We care about results, first and foremost. We care about people and how we can constantly challenge each other to become better. Your background is less important to us than your ability to create results, to create change. We prize excellence and ingenuity but know that both have to be grounded in reality. The reality of making our clients ready for the future.
Valcon Group is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.
Senior Data Management Professional - Data Quality - Data AI
Posted 17 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Data Management Professional - Data Quality - Data AI
Posted 17 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Data Management Professional - Data Quality - Data AI
Posted 16 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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Data Governance & Quality Lead
Posted today
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Data Governance & Quality Lead
Posted 2 days ago
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Job Description
So…. What is this role exactly?
This is an exciting opportunity for a Data Governance professional to join Your Housing Group's well established, collaborative Data and Business Intelligence Team as Data Governance and Quality Lead.
As YHG's Data Governance and Quality Lead you will play a crucial role in leading other data professionals and influencing a wide range of business stakeholders to scale-out and embed our Data Governance Framework and Data Management capabilities, ensuring data integrity, accuracy and readiness for AI. At your disposal will be the latest technologies (ie Collibra) and you’ll be able to draw on the collective knowledge and expertise of a talented Data and BI team.
We are looking for an individual with a passion for data management, ready to help position YHG as a leading example of Data Management excellence in the social housing sector.
What will my working week look like?
You will be homebased, living within the North West, within a reasonable travelling distance of our Head Office in Warrington, to attend meetings and training courses when needed. Realistically, you will be required to visit our Head Office approximately 2-4 times a month.
What will I be responsible for doing?
Working with the the Data & Business Intelligence team, and the wider YHG Data Community you will lead in the development and implementation of best practices for data governance and quality across all YHG business areas.
You’ll work closely with the community of Data Owners and Stewards across the business, leading Data Governance Working Groups and be a key member of Data Governance Committee.
You’ll lead data governance initiatives and collaborative issue remediation, including data quality assurance, meta-data management, and data lifecycle processes, building trust in the data that underpins business decisions.
One of the great things about this role is the opportunity to work closely with all areas of the organisation, building on the foundations already in place and really help to shape best practice.
Other responsibilities will include:
- Building impactful Data Management capabilities using appropriate technologies (Business Glossaries, Data Catalogue, Data Lineage)
- Lead Data management service delivery aligned to budgets, quality standards and governance frameworks
- Own and deliver Data management solutions and roadmaps that support business and data strategies.
- Lead in the establishment of a Group data management capability covering data governance, cataloguing and data quality, ensuring compliance
- Day to day Management of a small team of Data Analysts
And what would make me stand out from the crowd?
- Knowledge of best practice principles (e.g. DAMA DMBOK) and their practical implementation across the full data lifecycle
- Analytical mindset with a framework-driven approach to building robust business and data quality rules in collaboration with SMEs
- Deep understanding of data principles (types, classification, integrity, consistency)
- Proven ability to design and deliver data governance and management frameworks, with a strong grasp of their core components and strategic relevance
- Advanced proficiency in T-SQL for data exploration and transformation, and confidence with visualisation platforms (Excel, Power BI, Tableau, PowerPoint)
- The ability to influence, inspire, and engage stakeholders at all levels. technical and non technical and build effective working partnerships internally and externally
That all sounds great, what’s in it for me?
In return we offer £60,000-£65,000 for a 35 hour week, and 25 days annual leave (holidays also increase with time served) plus Bank Holidays, but our employee offering provides much more than just a competitive salary and holiday allowance.
At #TeamYHG we measure performance on outputs and quality, not hours and minutes. We offer a flexible, homeworking culture where you’re trusted to get the job done. If you need time for an appointment, the school run or an exercise class, if it fits with business needs, we’re open to what works for you too. And when you need to collaborate with your team, you can visit Youggle House – our purpose-built collaboration, wellbeing, and social space in Birchwood, Warrington.
On top of this, we’ll provide you with a great benefits package, including a contributory pension where we match whatever you choose to contribute (up to 8%), an advanced level Healthcare cash plan through Medicash, that doesn’t just provide dental and optician cashback but also health and wellbeing benefits (such as 24/7 GP Access, money back from prescriptions and alternative therapy treatments) and an amazing discount scheme that gives you access to half price cinema tickets, subsidised gym memberships and a huge range of discounts with some of the biggest high street and online names.
And who are Your Housing Group?
Your Housing Group is a registered social landlord helping people at every stage of life to live in quality homes they can afford.
As one of the North’s sector-leading landlords, we are proud to play our role in tackling the UK's housing crisis by continually reinvesting in our 29,000 properties and tailoring our services to meet the diverse needs of our customers. We also build over 1,000 new homes each year.
We’re an employer of choice, over 82% of colleagues here recommend us as a 'great place to work
Closing Date: 14th September 2025
Data Quality and Governance Lead
Posted today
Job Viewed
Job Description
Chief Data & Digital Officer
Location:
London
About us
IQUW is a speciality (re)insurer at Lloyd’s (Syndicate 1856) underwriting a diverse range of Property, Commercial and Speciality (re)insurance products from Cargo and Marine to Political Violence, Terror and War. We combine data, intelligent automation and human expertise to make smart decisions, fast.
Data is at the heart of our operational, strategic and regulated functions. We need to ensure our Data is managed to ensure quality, drive insights, and empower clear decision making across the 1856 Syndicate. Resulting in an improved end-user experience, highly trusted data and strong regulatory compliance.
IQUW Group has a hybrid working model that offers flexibility while maintaining opportunities for collaboration and connection with colleagues in person.Our hybrid working model will consist of 3 days per week in the office and 2 days working remotely. Teams can coordinate specific in-office days to support collaboration and flexibility.
The role
IQUW requires a Data Governance Lead to embed the data governance framework, manage all organization-wide data governance activities, and have the responsibility for improving the quality and managing the protection of sensitive data and information assets.
We have grown rapidly and need to ensure we are able to equally mature and scale our data governance discipline and data quality practices. This is to ensure we can meet both regulatory requirements and operational process to ensure we make our data a trusted and governed asset for both Regulated and Operational processes.
The position will focus on establishing and ensuring adherence to an enterprise data governance framework for data policies, standards and practices, both at the department and Business and Functional areas level, to achieve the required level of consistency, quality and protection to meet overall business and regulated needs.
The Data Governance Lead serves as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department.
The Data Governance Lead will also help to establish a data quality framework effectively manages our key data sets and define a control-based approach. Helping to define the process to establish critical data flows that can manage the lifecycle of data and ensure appropriate controls, ownership and monitoring is in place in line with key data quality dimensions.
Key responsibilities
Working closely with the Chief Data Officer and as part of the data and analytics centre of excellence (COE) to consistently maintain and promote the Digital & Data strategy and roadmap, ensuring that is fit for purpose and changes are clearly communicated to stakeholders.
Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities
Line manage a Data Quality Analyst and support objectives setting , task management and development as part of key duties
Roll out an enterprise-wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organisation behaviour policies and standards, principles, governance metrics, processes, related tools and data architecture
Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood and considered as part of operational prioritization and planning
Develop & maintain inventory of the enterprise data flows, critical data elements, data dictionaries, owners, responsibilities including authoritative systems
Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise
Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
Leading projects comprising resources from the Business and Functional areas and IT business and operations functions, to achieve their objectives; resolve issues escalated from Business and Functional areas data governance representatives
In conjunction with the IT, provide progress reports to Board management and oversee periodic updates to the Department Data Governance Roadmap
Coordinate external data sources to eliminate redundancy and streamline the expense related to those services
Identify new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset at the Senior Management table
The above duties and responsibilities are not an exhaustive list and you may be required to undertake any other reasonable duties compatible with your experience and competencies. This description may be varied from time to time to reflect changing business requirements.
Essential qualifications, skills and experience
Experience as working in Data Governance / Quality domain and Governance Manager or Lead role.
Experience of working in a Lloyds market Syndicate environment. Thus, possess high level knowledge of key departments i.e. Underwriting, Claims, Reinsurance, Actuarial and Finance functions and familiar with the typical data flows within an insurance business in the data governance / quality context for Regulatory and operational functions.
Understanding of the types of systems Policy Admin Systems, Claims Systems, Pricing models, exposure solutions and RI systems
Knowledge and experience with Purview and Power BI
Experience of developing Data Quality reporting process and supporting MI , knowledge of the key types of metrics and reporting KPI’s needed to build out measurement and reporting
Hands-on experience with building required templates, roles, responsibilities, and processes that form a data governance toolkit/framework.
Strong understanding of data management principles and data flow process and practices. Knowledge of (DAMA DMBOK) would be desirable
Knowledge of Insurance Data Governance (Solvency II, Lloyds Min Standards, SOX’s)
Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
Knowledge of data related government regulatory requirements and emerging trends and issues
Demonstrated consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement system design
Desirable behavioural attributes
Effective Communication Skills:
Excellent written and oral communication skills with the ability to liaise with stakeholders at all levels.
Building Relationships:
Strong interpersonal and consultative skills
Initiative & Change
- Ability to conduct research into emerging trends, standards, and products as required
Commercial Awareness & Problem Solving:
Ability to present ideas in user-friendly language
Driving & Self Organised:
Ability to effectively prioritize and execute tasks in a high-pressure environment
Teamwork:
Experience working in a team-oriented, collaborative environment.
Decision Making:
Comfortable making key decisions with an attention to detail.
Strategic Thinking:
The ability to apply thinking in a strategic context.
Analytical Thinking / Problem Solving:
Exceptional analytical, conceptual, and problem-solving abilities
Additional Information
A full job description can be seen here.
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